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Background: Cushing’s disease (CD) poses significant challenges in its treatment due to the lack of reliable biomarkers for predicting tumor localization or postoperative clinical outcomes. Sphingosine-1-phosphate (S1P) has been shown to increase cortisol biosynthesis and is regulated by adrenocorticotropic hormone (ACTH). Methods: We employed bilateral inferior petrosal sinus sampling (BIPSS), which is considered the gold standard for diagnosing pituitary sources of CD, to obtain blood samples and explore the clinical predictive value of the S1P concentration ratio in determining tumor laterality and postoperative remission. We evaluated 50 samples from 25 patients who underwent BIPSS to measure S1P levels in the inferior petrosal sinuses bilaterally. Results: Serum S1P levels in patients with CD were significantly higher on the adenoma side of the inferior petrosal sinus than on the nonadenoma side (397.7 ± 15.4 vs. 261.9 ± 14.88; P < 0.05). The accuracy of diagnosing tumor laterality with the interpetrosal S1P and ACTH ratios and the combination of the two was 64%, 56% and 73%, respectively. The receiver operating characteristic curve analysis revealed that the combination of interpetrosal S1P and ACTH ratios, as a predictor of tumor laterality, exhibited a sensitivity of 81.82% and a specificity of 75%, with an area under the curve value of 84.09%. Moreover, we observed that a high interpetrosal S1P ratio was associated with nonremission after surgery. Correlation analyses demonstrated that the interpetrosal S1P ratio was associated with preoperative follicle-stimulating hormone (FSH), luteinizing hormone (LH), and postoperative ACTH 8 am levels (P < 0.05). Conclusion: Our study demonstrated a significant association between the interpetrosal S1P ratio and tumor laterality, as well as postoperative remission in CD, suggesting that the interpetrosal S1P ratio could serve as a valuable biomarker in clinical practice. 1 Introduction Cushing’s disease (CD), also known as adrenocorticotropic hormone (ACTH)-secreting pituitary adenoma, arises from the pituitary corticotroph cells and induces endogenous hypercortisolism by stimulating the adrenal glands to produce excessive amount of cortisol (1). Patients with CD typically exhibit symptoms of hypercortisolism, such as hypertension, diabetes, purplish skin striae, mental disturbances, hyposexuality, hirsutism, menstrual disorders, acne, fatigue, obesity, and osteoporosis (1). The overall mortality of patients with CD is twice that of the general population, and if left untreated, hypercortisolism resulting from CD increases this rate to approximately four times the expected value (2–4). Transsphenoidal surgery continues to be the primary treatment for CD (5). However, previous studies reported variable remission rates, ranging from 45% to 95% (6–8). Long-term follow-up data have revealed recurrence in 3–66% of patients who had initially achieved complete remission (9, 10). The rate of surgical remission in CD can be influenced by various factors, including the size and location of the tumor, expertise of the neurosurgeon, and criteria used for assessing remission (11). Preoperative clinical variables, such as age, gender, disease duration, and severity of clinical signs and symptoms, cannot reliably identify patients at a higher risk of nonremission (12, 13). Therefore, predicting postsurgical remission in CD remains a challenging goal. Accumulating evidence has shown that sphingosine-1-phosphate (S1P), an intracellular pleiotropic bioactive sphingolipid metabolite synthesized by sphingosine kinase 1 (SPHK1), plays a pivotal role in diverse endocrine disorders (14–16). Overexpression of SPHK1 promotes the progression of multiple neuroendocrine tumors (17, 18). ACTH can rapidly activate sphingolipid metabolism, causing an increase in S1P secretion in the adrenal cortex (19). Furthermore, the activation of S1P signaling in H295R cells, a human adrenocortical tumor cell line, has been suggested to induce increased transcription of hormone-sensitive lipase and steroidogenic acute regulatory protein, ultimately elevating cortisol production (20). Recently, surgical removal of ACTH-secreting adenoma has been reported to cause a decline in sphingomyelin levels (21). However, whether they have a similar role in the pituitary gland remains to be investigated. Bilateral inferior petrosal sinus sampling (BIPSS) is a highly effective procedure for diagnosing pituitary sources of ACTH in CD (22, 23). Contemporaneous differences in ACTH concentration during venous sampling between the two sides of the adenoma can predict the location of the adenoma within the pituitary (on the side of the gland with a microadenoma) and may guide surgical treatment in cases with inconclusive magnetic resonance imaging findings. Previous studies demonstrated that an ACTH gradient of ≥1.4 between the inferior petrosal sinuses can indicate microadenoma lateralization in patients with CD (24–26). However, the correct lateralization only occurs in 57–68% of all cases (27–29). Therefore, we analyzed the clinical behavior of a well-characterized cohort of patients with CD who underwent BIPSS before surgery. We measured the difference in the concentration of S1P in bilateral petrosal sinus blood samples and explored the clinical predictive value of the S1P concentration ratio in determining tumor laterality and postoperative remission. 2 Materials and methods 2.1 Patients and study design This study was conducted at a tertiary center, involving a cohort of 25 patients diagnosed with CD who had undergone BIPSS and surgery, with a minimum follow-up duration of 2 years. Comprehensive chart reviews were conducted to collect data on demographics, clinical characteristics, pituitary imaging findings, tumor pathology, and biochemical tests. The criteria used for diagnosing CD encompassed the presence of characteristic signs and symptoms of hypercortisolism, along with biochemical evaluation of two urinary free cortisol measurements exceeding the normal range for the respective assay, serum cortisol level >1.8 μg/dL (50 nmol/L) after an overnight 1-mg dexamethasone suppression test, and two late-night salivary cortisol measurements exceeding the normal range for the respective assay (30). A diagnosis of Cushing’s syndrome was established if the patient had positive test results for at least two of the three aforementioned tests. Adrenal insufficiency was diagnosed if patients exhibited symptoms or signs of adrenal insufficiency or if serum cortisol levels were ≤3 μg/dL, even in the absence of clinical signs or symptoms. Remission was defined as normalization of the levels of 24-h urinary free cortisol, late-night salivary cortisol, and overnight 1-mg dexamethasone suppression test in patients without concurrent central adrenal insufficiency after surgery (31). 2.2 Patients and tissue/serum samples Surgical specimens of CD-affected tissues were collected from Xiangya Hospital, Central South University. Three normal pituitary tissues were obtained from cadaveric organ donors without any history of endocrine disease (Central South University). A total of 25 CD tissue samples were obtained for immunohistochemistry analysis. This study was conducted in compliance with the Helsinki Declaration and was ethically approved by the Xiangya Hospital Ethics Committee, Xiangya Hospital (Changsha, China). Tumor samples and corresponding clinical materials were obtained with written consent from all patients. 2.3 BIPSS After obtaining informed consent, BIPSS was performed using standard techniques described in previous studies (32, 33). Briefly, the patient’s head was immobilized to ensure midline positioning and prevent any potential bias towards asymmetric pituitary drainage by the petrosal sinuses. After placing peripheral catheters and cannulating both inferior petrosal sinuses, blood samples were collected at baseline and at 3, 5, 10, and 15 min following intravenous administration of DDAVP, which stimulates pituitary production of ACTH. Additional samples for experimental purposes were collected immediately following the 15-min sample collection to avoid interference with the patient’s diagnostic study. 2.4 Measurement of baseline plasma S1P concentration Blood samples were obtained from both petrosal sinuses and were centrifuged to remove cellular components. Samples that exhibited hemolysis or coagulation were excluded from the study. Plasma samples were stored at −80°C. The S1P levels in plasma were analyzed using a S1P competitive ELISA kit (Echelon Biosciences, Salt Lake City, UT) according to the manufacturer’s instructions (34). 2.5 Immunofluorescence staining The pituitary tissues were post-fixed and dehydrated with alcohol as follows: 70% for 24 h, 80% for 3 h, 90% for 4 h, 95% for 3 h, and finally in absolute alcohol for 2 h. Tissue slices with a 5-μm thickness were cut using a microtome (Thermo Fisher Scientific), blocked with 3% BSA, and then treated with primary antibodies to SPHK1 (CST, #3297) and ACTH (Proteintech, CL488-66358). Subsequently, the tissue slides were incubated with Alexa Fluor 488-conjugated anti-rabbit (Invitrogen, A21206, 1:200) or Alexa Fluor 555-conjugated anti-rabbit (Invitrogen, A21428, 1:200) secondary antibodies. Specimens were visualized and imaged using a fluorescence microscope. 2.6 Statistical analysis The Mann–Whitney U test was used to assess the clinical–molecular associations in adenoma samples, whereas the chi-square test was used to compare categorical data. The Kruskal–Wallis analysis and ANOVA were conducted for multiple comparisons. Statistical analyses were conducted using SPSS v20 and GraphPad Prism version 7. All results were presented in graphs and tables as median ± interquartile range. The distribution of each parameter was presented as the minimum–maximum range. Parametric or nonparametric statistical tests were applied, as appropriate, after testing for normality. The receiver operating characteristic curve was used to determine the cut-off value for predicting tumor laterality. Pearson correlation analyses was used to examine the correlations between variables. Proportions were expressed as percentages, and significance was defined as P < 0.05. 3 Results 3.1 Clinical characteristics of remission and nonremission in patients with CD This study included 25 patients with CD who underwent BIPSS before surgery (Figure 1). Among them, 12 patients had microadenomas, whereas the remaining 13 had inconclusive magnetic resonance imaging findings; clinicopathological data are summarized in Supplementary Table 1. Table 1 displays the demographics of patients who achieved remission (n = 16) and those who did not (n = 9). No significant differences were observed in terms of sex, age at diagnosis, or radiological variables between patients who achieved and those who did not achieve remission (P > 0.05). Patients who achieved remission exhibited a higher prevalence of emotional lability (P < 0.05). However, no significant differences were observed in other parameters (P > 0.05). Figure 1 Figure 1 Flowchart of the screening process employed to select eligible participants for the study. Table 1 Table 1 Baseline clinical features of patients with pituitary tumors secreting adrenocorticotropin. Several recent studies have established morning cortisol level measured on postoperative day 1 (POD1) as a predictive biomarker for long-term remission of CD (35, 36). For biochemical features, patients who did not achieve remission exhibited higher serum cortisol (19.16 ± 5.55 vs. 5.95 ± 1.42; P = 0.014) and median serum (8 am) ACTH (10.26 ± 8.24 vs. 5.15 ± 3.68; P = 0.042) levels on POD1. No significant differences were observed in the preoperative baseline 4 pm serum cortisol levels, preoperative baseline 0 am serum cortisol levels, preoperative 8 pm ACTH levels, 4 pm ACTH levels, and 0 am ACTH levels (P > 0.05) (Table 2). In addition preoperative FT3, FT4, TSH, GH, FSH, LH, and PRL levels were comparable in patients with and without remission. Table 2 Table 2 Baseline clinical and biochemical features of patients with pituitary tumors secreting adrenocorticotropin. 3.2 Overexpression of SPHK1 and higher concentrations of serum S1P on the tumor side in patients with CD Prior studies have demonstrated that ACTH acutely activates SPHK1 to increase S1P concentrations (19). Upregulation of SPHK1 is associated with poor prognosis in endocrine-related cancer (17, 18, 21). To investigate the role of SPHK1 in CD, we performed a heatmap analysis of key genes involved in phospholipid metabolism and signaling pathways in CD adenomas and surrounding normal tissues using the GEO dataset (GEO208107). This analysis revealed the activation of crucial genes involved in phospholipid metabolism and signaling pathways in ACTH-secreting pituitary adenomas (Supplementary Figure 1). Subsequently, we compared the association between pituitary SPHK1 expression and proopiomelanocortin, corticotropin-releasing hormone, corticotropin releasing hormone receptor 1, and corticotropin releasing hormone receptor 2 in pituitary tumor tissues and identified a positive correlation between SPHK1 and ACTH tumor-related genes in the TNM plot database (Supplementary Figure 2). To investigate the potential role of SPHK1 in CD, we compared the expression values of SPHK1 in the normal pituitary tissues and those obtained from patients with CD in the remission/nonremission groups. Immunofluorescence staining (Figures 2A, B; Supplementary Figure 3) revealed an increased number of double-positive cells for SPHK1 and ACTH in CD-affected pituitary tissues than those in the normal pituitary tissues. Furthermore, the proportion of double-positive cells for SPHK1 and ACTH was significantly higher in the nonremission CD adenomas tissues than that in the remission CD adenomas. Furthermore, we investigated the concentration of S1P in bilateral petrosal sinus blood samples and observed that the concentration was significantly higher on the adenoma side than that on the nonadenoma side (397.7 ± 15.4 vs. 261.9 ± 14.88; P < 0.05, Figure 2C). Thus, these findings suggested a close association between S1P concentration and the development of ACTH-secreting tumor. Figure 2 Figure 2 (A) Representative images of immunofluorescence double staining for SPHK1 (green) and ACTH (pink) in normal pituitary glands and ACTH-secreting pituitary adenomas from the remission and nonremission groups (Normal: n = 3, ACTH pituitary adenoma: remission vs. nonremission: n = 16 vs. 9); scale bars: 100-μm upper and 50-μm lower. (B) Quantitative analysis; white arrows indicate double-positive cells for ACTH and SPHK1. (C) The concentration of S1P in the plasma obtained from the inferior petrosal sinus of the adenoma side and nonadenoma side. ***P < 0.001. Bar represents mean ± SD. 3.3 Combination of interpetrosal S1P and ACTH ratios improved the diagnostic performance for adenoma laterality The pathology of patients with CD was classified based on adenomatous tissue with ACTH-positive immunostaining into adenoma or nonadenoma sides. To evaluate the correlation between the interpetrosal S1P ratio lateralization and tumor location, we compared the accuracy of predicting tumor laterality using the interpetrosal S1P ratio (>1) and interpetrosal ACTH ratio (>1.4) (the interpetrosal ACTH ratio >1.4 is acknowledged for its positive role in predicting tumor laterality), as well as their combination. Our results indicated that using the interpetrosal S1P or ACTH ratios alone yielded accuracies of 64% and 56% respectively. Notably, the combination of both demonstrated a significantly improved accuracy of 73% (Figure 3A). Figure 3 Figure 3 (A) Bar graph illustrating the accuracy of predicting tumor laterality. (B) Receiver operating characteristic (ROC) curve analysis of interpetrosal ACTH ratio to predict tumor location. (C) ROC curve analysis of the interpetrosal S1P ratio to predict tumor location. (D) ROC curve analysis of the combination of the interpetrosal S1P and ACTH ratios to predict tumor location. Thereafter, the receiver operating characteristic analysis was performed to determine the role of predicting tumor laterality. In particular, the interpetrosal ACTH ratio with an AUC of 75.32% (95% CI: 60.06–97.46%, P < 0.05) and the interpetrosal S1P ratio demonstrated a clinically significant diagnostic accuracy for lateralization, with an AUC of 79.17% (95% CI: 44.40–85.84%, P < 0.05). Furthermore, combining the interpetrosal S1P and ACTH ratios generated an receiver operating characteristic curve with an AUC of 84.09% (95% CI: 52.3–96.77%, P < 0.05) for predicting lateralization with tumor location (cutoff value: interpetrosal S1P ratio ≥1.06, interpetrosal ACTH ratio ≥2.8, 81.82% sensitivity, and 75% specificity) (Figures 3B–D). 3.4 Interpetrosal S1P ratio serves as a predictive factor for early remission in CD To investigate whether the interpetrosal S1P ratio is associated with early postoperative remission in CD, we compared the baseline interpetrosal S1P ratio between patients with CD in the remission and nonremission groups. Interestingly, we observed that the nonremission group exhibited higher interpetrosal S1P ratios than those of the remission group (median, 1.28 ± 0.25 vs. 1.10 ± 0.09, P = 0.012) (Figure 4). Figure 4 Figure 4 Left picture: Scatter plot of bilateral S1P concentrations in the remission and nonremission groups; the slope represents the interpetrosal S1P ratio, blue dots represent the remission group, and red dots represent the nonremission group. Right picture: The interpetrosal S1P ratio in the remission and nonremission groups. *P < 0.05. Bar represents mean ± SD. To investigate potential factors affecting the interpetrosal S1P ratio, we compared the correlation between interpetrosal S1P ratio and various clinical indicators. This analysis revealed that the interpetrosal S1P ratio positively correlated with preoperative FSH and LH levels, as well as with postoperative 8 am ACTH levels. No significant difference was observed between the interpetrosal S1P ratio and other indicators (Supplementary Figure 4). 4 Discussion The use of BIPSS involves collection of samples from each inferior petrosal sinus simultaneously, enabling a direct comparison of ACTH concentrations between the left and right petrosal sinuses. BIPSS is used for two purposes: 1) to assist in the differential diagnosis of Cushing’s syndrome; and 2) to determine which side of the pituitary gland contains an adenoma in patients with CD. The interpetrosal ACTH ratio is also useful in determining the location/lateralization of pituitary microadenomas (24, 30, 37), thereby providing guidance to the neurosurgeon during surgery. To our knowledge, this is the first study to demonstrate that serum S1P levels in patients with CD are significantly higher on the adenoma side of the inferior petrosal sinus than on the nonadenoma side. The interpetrosal S1P ratio exhibited a positive significance in predicting tumor laterality, and the predictive performance was improved when S1P was combined with the interpetrosal ACTH ratio. Notably, the interpetrosal S1P ratio exhibited a positive significance in predicting remission after surgery. Furthermore, the interpetrosal S1P ratio demonstrated a positive and significant correlation with preoperative FSH and LH levels, as well as 8 am ACTH levels on POD1. ACTH is recognized for its role in controlling the expression of genes involved in steroid production and cortisol synthesis in the human adrenal cortex through sphingolipid metabolism (19). Specifically, ACTH rapidly stimulates SPHK1 activity, leading to an increased in S1P levels, which in turn, increases the expression of multiple steroidogenic proteins (20). Our study demonstrated that higher S1P concentrations were present on the tumor side than on the nontumor side in patients with CD, indicating that the regulatory relationship between ACTH and S1P also exists in ACTH-secreting pituitary adenomas. Several pieces of evidence have supported the potential relationship between S1P and the occurrence of CD. Interestingly, SPHK1 and S1P are known to be integral to the regulation of epidermal growth factor receptor (EGFR) (38), which is highly expressed in human corticotropinomas, where it triggers proopiomelanocortin (the precursor of ACTH) transcription and ACTH synthesis (39). Blocking EGFR activity with an EGFR inhibitor can attenuate corticotroph tumor cell proliferation (40). Furthermore, SPHK1 and proopiomelanocortin share a common transcriptional coactivator, P300 (41, 42). Notably, S1P also directly binds to and inhibits histone deacetylase 2, thereby regulating histone acetylation and gene expression (43). Notably, histone deacetylase 2 expression is deficient in ACTH-pituitary adenomas in CD, contributing to glucocorticoid insensitivity (44), which is a hallmark of CD and a feature associated with nonremission. These studies further demonstrated an association between high S1P ratio and nonremission of CD. Our study, for the first time, established an association between SPHK1/S1P and ACTH adenoma. Nevertheless, further experimental verification is required to confirm the existence of common pathways linking SPHK1 and ACTH. Thus, these findings indicated that the S1P ratio can, to some extent, reflect the differences in ACTH levels and may serve as a surrogate marker for detecting ACTH-secreting pituitary adenomas. BIPSS is a highly effective procedure for diagnosing pituitary sources of ACTH in CD and remains the gold standard diagnostic method. However, some findings indicated certain limitations associated with the use of the inferior petrosal sinus sampling (IPSS) method in predicting tumor lateralization. The possible causes of error include asymmetrical or underdeveloped petrosal sinus anatomy and placement of the catheter (27). The present study revealed a notable increase in the interpetrosal ACTH ratio among patients with accurate predictions of tumor laterality than among those with inaccurate predictions, although the positive predictive value remained low. These findings suggested that other mechanisms may exist that contribute to false-positive results. The limitations on lateralization highlighted the need for further research to understand the underlying mechanisms contributing to the accuracy of IPSS in predicting tumor lateralization. Further investigation is required to understand these potential mechanisms and improve the accuracy of IPSS in predicting tumor lateralization. We observed that the interpetrosal S1P ratio was slightly more effective than the ACTH ratio in predicting tumor laterality. However, combining both methods significantly improved the diagnostic sensitivity and specificity. These results have important implications for clinical practice as accurate tumor lateralization is essential for the correct management and treatment of pituitary adenomas. Overall, these findings highlighted the importance of using multiple measures in predicting tumor lateralization and suggested that combining measures may be more effective than relying on any single measure alone. Future research should investigate additional measures to improve the accuracy of tumor lateralization and optimize the use of existing measures for making clinical decisions. The initial treatment recommendation for CD is surgery. However, long-term surveillance is necessary because of the high recurrence rate (12). Therefore, identifying patients who are at a greater recurrence risk would be helpful in establishing an effective surveillance strategy. Our study revealed that the expression of SPHK1 in pituitary tissue was higher in postoperative nonremission group than in postoperative remission group. Moreover, patients in the nonremission group exhibited significantly higher interpetrosal S1P ratios than those of patients in the remission group. SPHK1 catalyzes the direct phosphorylation synthesis of S1P, and the S1P ratio can thus reflect the expression level of SPHK1 in ACTH tumors. Since S1P can increase the expression of multiple steroidogenic proteins, including steroidogenic acute regulatory protein, 18-kDa translocator protein, low-density lipoprotein receptor, and scavenger receptor class B type I (20), the interpetrosal S1P ratios may be indicative of disease prognosis. This finding is consistent with previous findings indicating the overexpression of SPHK1 is associated with poor prognosis in various neuroendocrine tumors, as factors associated with tumor proliferation, S1P and SPHK1, may play a key role in the proliferation and survival of ACTH pituitary adenomas. The high proportions of SPHK1/ACTH double-positive cells are likely associated with greater phenotypic severity, and CD tumors with this phenotype may have a poor prognosis. These findings hold clinically significance for predicting early postoperative remission in patients with CD. As aforementioned, the interpetrosal S1P ratios have been suggested as a useful diagnostic tool for determining adenoma lateralization in CD, which can also serve as a prognostic indicator for postoperative remission. Pearson correlation analysis indicated that ACTH 8 am on POD1 and FSH/LH levels were significantly associated with the interpetrosal S1P ratio, suggesting that these pituitary dysfunctions may have a role in the early remission of CD. However, the sample size in this study was relatively small, and further studies with larger sample sizes are needed to confirm these findings. Additionally, other factors affecting surgical outcomes, such as the experience of the surgeon, extent of surgical resection, and use of adjuvant therapy, should be considered when predicting postoperative remission in patients with CD. This study has some limitations. First, the study was retrospective in design, which limited the control of confounding factors. Additionally, because of the limited sample size, we did not specifically investigate cases where the ACTH ratio failed to accurately identify the correct tumor location. Finally, we did not explore the functional evidence of a common pathway between SPHK1 and ACTH. Despite these limitations, the study contributes to our understanding of the potential utility of the interpetrosal S1P ratio as a biomarker for CD and provides a basis for future research in this area. In conclusion, our study demonstrated a significant association between the interpetrosal S1P ratio and tumor laterality, as well as in early remission in CD. These findings suggested that the interpetrosal S1P ratio could serve as a useful biomarker in clinical practice. Moreover, targeting genes and drugs related to SPHK1/S1P could provide novel therapeutic strategies for treating CD. Data availability statement The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author. Ethics statement The studies involving humans were approved by The Xiangya Hospital Ethics Committee, Xiangya Hospital (Changsha, China). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Author contributions HS: conceptualization, methodology, software, visualization, and investigation. CW and BH: software. YX: writing – review & editing. All authors contributed to the article and approved the submitted version. Funding The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article. Acknowledgments The authors gratefully acknowledge contributions from the GEO databases and TNMplot database (https://www.tnmplot.com/). Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher’s note All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. Supplementary material The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2023.1238573/full#supplementary-material References 1. Tritos NA, Miller K. Diagnosis and management of pituitary adenomas: A review. JAMA (2023) 329(16):1386–98. doi: 10.1001/jama.2023.5444 PubMed Abstract | CrossRef Full Text | Google Scholar 2. 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Genes Dev (2006) 20:2871–86. doi: 10.1101/gad.1444606 PubMed Abstract | CrossRef Full Text | Google Scholar Keywords: ipss, sphingosine-1-phosphate, Cushing’s disease, remission, tumor laterality Citation: Sun H, Wu C, Hu B and Xiao Y (2023) Interpetrosal sphingosine-1-phosphate ratio predicting Cushing’s disease tumor laterality and remission after surgery. Front. Endocrinol. 14:1238573. doi: 10.3389/fendo.2023.1238573 Received: 12 June 2023; Accepted: 17 October 2023; Published: 31 October 2023. Edited by: Anton Luger, Medical University of Vienna, Austria Reviewed by: Guangwei Wang, Hunan University of Medicine, China Marie Helene Schernthaner-Reiter, Medical University of Vienna, Austria Copyright © 2023 Sun, Wu, Hu and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. *Correspondence: Yuan Xiao, xiaoyuan2021@csu.edu.cn Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher. From https://www.frontiersin.org/articles/10.3389/fendo.2023.1238573/full

Abstract Background This single-center retrospective cohort study aimed to describe the findings and validity of Bilateral inferior petrosal sinus sampling (BIPSS) in the differential diagnosis of patients with ACTH-dependent Cushing’s syndrome (CS). Methods Eleven patients underwent BIPSS due to equivocal biochemical tests and imaging results. Blood samples were taken from the right inferior petrosal sinus (IPS), left IPS, and a peripheral vein before and after stimulation with desmopressin (DDAVP). ACTH and prolactin levels were measured. The diagnosis was based on the ACTH ratio between the IPS and the peripheral vein. Also, lateralization of pituitary adenoma in patients with Cushing’s disease (CD) was predicted. No significant complications were observed with BIPSS. Results Based on the pathology report, eight patients had CD, and three had ectopic ACTH syndrome (EAS). Unstimulated BIPSS resulted in a sensitivity of 87.5%, specificity of 100%, PPV of 100%, NPV of 75%, and accuracy of 91%. Stimulated BIPSS resulted in a sensitivity of 100%, specificity of 100%, PPV of 100%, NPV of 100%, and accuracy of 100%. However, pituitary magnetic resonance imaging (MRI) had a lower diagnostic accuracy (sensitivity:62.5%, specificity:33%, PPV:71%, NPV:25%, accuracy:54%). BIPSS accurately demonstrated pituitary adenoma lateralization in 75% of patients with CD. Conclusions This study suggests that BIPSS may be a reliable and low-complication technique in evaluating patients with ACTH-dependent CS who had inconclusive imaging and biochemical test results. The diagnostic accuracy is improved by DDAVP stimulation. Pituitary adenoma lateralization can be predicted with the aid of BIPSS. Peer Review reports Introduction All disorders with manifestations associated with glucocorticoid excess are called Cushing’s syndrome. Exogenous corticosteroids cause most CS cases, and endogenous CS cases are rare [1, 2]. The diagnosis of Cushing’s syndrome may be complicated, particularly in cases with ambiguous clinical findings, atypical presentations, and cyclic hypercortisolemia [3,4,5]. The initial laboratory tests for diagnosis of CS include 24-hour urinary free cortisol (UFC), late-night salivary cortisol, and low-dose dexamethasone suppression test (DST). These tests only represent hypercortisolemia [1, 2]. Once CS is diagnosed, further evaluations are needed to identify the etiology. The first step is to measure the plasma ACTH level. A low plasma ACTH level indicates ACTH-independent CS and a high level suggests ACTH-dependent CS. Normal ACTH can also occur in ACTH-dependent CS. Almost all cases of ACTH-dependent are due to pituitary adenoma (Cushing’s disease) or EAS [1, 2, 6]. Some ectopic sources include neuroendocrine tumors, bronchial carcinoma, and pancreatic carcinoma [7, 8]. Because of the high mortality in tumors associated with EAS, it is essential to differentiate CD from EAS. To distinguish CD from EAS, a high-dose dexamethasone suppression test (HDDST), corticotropin-releasing hormone (CRH), or DDAVP stimulation tests, or pituitary MRI is recommended [1, 2, 6, 9,10,11,12]. MRI can be equivocal in half of the patients, and only relatively large lesions (> 6 mm) detected on MRI reliably confirm the diagnosis of CD with biochemical confirmation and expected clinical symptoms [9]. Considering the relatively low sensitivity and specificity of non-invasive tests [13, 14] and the high complications of the surgery, it seems reasonable to use a test with high sensitivity and specificity and few complications before resection. BIPSS with CRH or DDAVP stimulation can be helpful for further evaluation [1, 2, 10, 15, 16]. The BIPSS procedure is the same in both stimulation methods. Due to its lower cost, availability, and comparable diagnostic accuracy, using DDAVP instead of CRH for BIPSS is an alternative [17, 18]. BIPSS has been reported to have high sensitivity and specificity and is a safe procedure when performed by experienced interventional radiologists [15, 16, 19, 20]. This case series describes the experience with BIPSS and examines the validity of BIPSS for differentiating CD from EAS in patients with ACTH-dependent CS who had ambiguous or equivocal results in non-invasive tests. Materials and methods Patients This retrospective cohort study included 11 patients with ACTH-dependent CS who underwent BIPSS between 2018 and 2020 in a tertiary care hospital. Data collection Well-trained nurses conducted anthropometric measurements, including height and weight. Standing height was measured with a portable stadiometer (rounded to the nearest 0.1 cm). Using a calibrated balance beam scale, this study measured weight in the upright position (rounded to the nearest 0.1 kg). Body mass index (BMI) was calculated by dividing weight (kg) by height squared (m2). Well-trained examiners measured blood pressure (systolic and diastolic) at the left arm in the sitting position after 5 min of rest using a calibrated mercury sphygmomanometer. The blood sample was taken, and fasting blood sugar (FBS), hemoglobin (Hb), potassium (K), and creatinine (Cr) were measured. All research was performed in accordance with the Declaration of Helsinki. Informed consent was obtained from all participants or their legal guardians. Biochemical tests and imaging Patients with signs and symptoms of CS underwent screening evaluations, and confirmatory tests were performed using serum cortisol and 24-hour UFC. After confirmation of CS, ACTH was measured using an immunoradiometric assay to categorize patients into ACTH-dependent or independent groups. ACTH test was performed with SIEMENS IMMULITE 2000 device with an analytical sensitivity of 5 pg/ml (1.1 pmol/l) and CV ∼7.5%. HDDST was conducted by administering 2 mg dexamethasone every 6 h for 48 h to all patients, and then serum cortisol and 24-hour UFC were rechecked. A pituitary MRI was performed with sagittal and coronal T1- and T2-weighted images before and after the gadolinium injection. BIPSS procedure After biochemical tests and imaging, an experienced interventional radiologist performed bilateral and simultaneous catheterization of the inferior petrosal sinuses. Venography was obtained to evaluate venous anatomy and catheter placement. The retrograde flow of contrast dye into the contralateral cavernous sinuses was used as a marker of adequate sampling. After the correct placement of catheters, blood samples were obtained from each of three ports (peripheral (P), left inferior petrosal sinus (IPS), and right IPS) at -15, -10, -5, and 0 min. The current study used DDAVP for stimulation. After peripheral injection of 10 micrograms of DDAVP, blood samples from these three sites were obtained at + 3, +5, + 10, and + 15 min. Three samples from these sites were also obtained to measure prolactin. Upon collection, BIPSS samples were placed in an ice-water bath. At the end of the procedure, samples were taken to the laboratory, where the plasma was separated and used for immediate measurement of ACTH. Specimens were refrigerated, centrifuged, frozen, and assayed within 24 h. After the samples were obtained, both femoral sheaths were removed, and manual compression was used to obtain hemostasis before transferring patients to the recovery room. The whole procedure took 1–2 h. Patients underwent strict bed rest for 4 h before discharge on the same day. All BIPSS were performed without significant complications, and only hematoma at the catheterization site was observed in some patients. BIPSS interpretation The ratio of IPS ACTH to peripheral ACTH level (IPS/P ACTH) for each side was calculated. Baseline sampling at minute 0 with IPS/P ≥ 2 or stimulated sampling at minute 3 with 1PS/P ≥ 3 is confirmatory for CD [1, 8]. Also, the IPS/P ratio was checked for prolactin level after DDAVP stimulation (stimulated IPS/P prolactin). A stimulated IPS/P prolactin ≥ 1.8 indicates successful catheterization, meaning the catheter is correctly placed in the IPS [21]. For further evaluation, the current study normalized the ACTH to the prolactin level by dividing stimulated IPS/P ACTH into stimulated IPS/P prolactin for each side. A normalized ACTH/prolactin IPS/P ratio ≥ 1.3 supports a pituitary ACTH source (Cushing’s disease), and a normalized ratio ≤ 0.7 an ectopic source (EAS) [22]. The values between 0.7 and 1.3 are equivocal. The inter-sinus ratio was defined as the ratio of the IPS/P ACTH level of one side with the higher level divided by the IPS/P ACTH level of the other side with the lower level, either before or after stimulation. An inter-sinus ratio ≥ 1.4 indicates lateralization to the side with a higher IPS/P ACTH level [23]. Statistical analysis This analysis used SPSS software version 18 (SPSS, Inc.) to perform analyses. Data were expressed as numbers and percentages. Continuous variables were presented as means (± SD). This study reported the median or range when the data did not follow a normal distribution. The Shapiro-Wilk test was used to test for normality. The nonparametric Mann-Whitney U Test was utilized to compare variables. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the tests were calculated based on standard statistical equations. Results Baseline characteristics and clinical manifestations This retrospective research studied 11 patients with ACTH-dependent CS, including eight females (72.7%) and three (27.3%) males. The median (Q1-Q3) age was 32.0 (22–45) years. The median (Q1-Q3) of BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), FBS, Hb, K, and Cr were 29.2 (24.8–33.3), 130.0 (125–140), 80.0 (80–95), 98.0 (88–103), 13.5 (12.4–13.9), 4.2 (3.9–4.5), and 1.0 (0.9–1.1), respectively. The demographic characteristics of patients are presented in Table 1. The Hb levels were not different in women and men (median 13.35 vs. 13.70, p-value = 0.776). In addition, no statistical difference between patients with a final diagnosis of CD and EAS was detected for Hb levels (Total: median 13.60 vs. 13.2, p-value > 0.05) (Women: median 13.5 vs. 13.2, p-value > 0.05) (Men: median 13.7 vs. 13.25, p-value > 0.05). Table 1 Demographic characteristics of the studied patients Full size table 90% of patients had at least one skin manifestation, such as striae, easy bruising, acne, hyperpigmentation, hirsutism, hair loss, edema, and hypertrichosis. Other symptoms were hypertension (HTN) (81%), reproductive dysfunction (81%), including infertility, oligomenorrhea, loss of libido, weight gain (72%), proximal muscle weakness (45%), and headache (27%) (Table 2). Table 2 Clinical manifestations of the studied patients Full size table Results of biochemical tests Biochemical tests results, including basal serum cortisol (median:26 mcg/dl, range:15-54.5 mcg/dl), basal 24-hour UFC (median:670 mcg/dl, range:422–1545 mcg/dl), ACTH (median:58.8 pg/ml, range:25–155 pg/ml), serum cortisol after HDDST (median:14.2 mcg/dl, range:2.63-36.0 mcg/dl), 24-hour UFC after HDDST (median:292 mcg/dl, range:29.5–581 mcg/dl) are presented in Table 3. According to the basal serum cortisol results, eight patients (Cases 1, 3, 5, 7, 8, 9, 10, and 11) had basal serum cortisol levels > 22 mcg/dl, which indicates hypercortisolemia. Other patients (Cases 2, 4, and 6) had basal serum cortisol in the normal range (5–25 mcg/dl) and were considered as false negative results of this test. Table 3 The results of biochemical tests in the studied patients Full size table All patients had elevated basal 24-hour UFC levels (422–1545 mcg/dl), indicative of hypercortisolemia (Table 3). There were six patients with elevated peripheral ACTH levels (> 58 pg/ml) (cases 5, 6, 8, 9, 10, and 11). Other patients had ACTH within the normal range (6–58 pg/ml) (cases 1, 2, 3, 4, 7) (Table 3). None of the patients showed suppression after 1 mg DST. After HDDST, cases 2, 3, 8, and 10 had more than 50% suppression of serum cortisol. In the other six patients, serum cortisol was not suppressed or suppressed by less than 50%. In one patient, serum cortisol levels were not measured (case 1) because the sample was not stored under standard test conditions. Also, eight patients had more than 50% 24-hour UFC suppression after HDDST (cases 1, 2, 3, 4, 6, 7, 9, and 10). In two patients, 24-hour UFC was suppressed less than 50% (cases 5 and 11), and in one patient (case 8), the 24-hour UFC sample was not tested due to the non-standard condition of the sample. BIPSS results BIPSS results before and after stimulation are shown in Table 4. The baseline value (sampling at minute 0) of IPS/P ACTH ≥ 2 confirms CD. According to this ratio, cases 1,3,4,5,6,7, and 8 were diagnosed as CD. The unilateral source for CD was confirmed in cases 1, 3, 7, and 8. BIPPS didn’t demonstrate lateralization in cases 4, 5, and 6. Table 4 Baseline and stimulated IPS/P ratio for ACTH and Prolactin in the studied patients Full size table The highest IPS/P ACTH ratio was 3 min after the DDAVP injection. A sampling at minute 3 with stimulated IPS/P ACTH ≥ 3 confirms CD. This ratio confirmed CD in cases 1–8 and showed a unilateral source for CD in cases 1, 2, 3, and 7. The ratio didn’t demonstrate lateralization in cases 4, 5, 6, and 8. The stimulated IPS/P prolactin was ≥ 1.8 in all cases. The variability in the IPS/P ACTH ratio in patients with CD is shown in Fig. 1. The peak of this ratio was 3 min after the DDAVP injection. In patients with EAS, there were no changes before or after the DDAVP stimulation. Fig. 1 Comparison of mean values of IPS/P ACTH in CD (Lt.) and EAS (Rt.). IPS; inferior petrosal sinus; P: peripheral; ACTH: adrenocorticotropic hormone; CD: Cushing’s disease; EAS: ectopic ACTH syndrome; Lt: left; Rt: right Full size image According to the Prolactin-normalized ACTH IPS/P ratios, eight patients (cases 1–8) were diagnosed as CD and three as EAS (cases 9–11). In cases 1, 2, 3, 7, and 8, unilateral sources of CD were confirmed, but in cases 4,5 and 6, bilateral sources were detected (Table 4). According to the inter-sinus ratio, BIPSS could lateralize the source of ACTH in all patients with CD. The inter-sinus ratio in patients with EAS could not lateralize any pituitary source for ACTH (Table 4). In five patients with CD and one with EAS, the highest peripheral ACTH level was observed 15 min after stimulation. Two patients with CD and one with EAS had the highest peripheral ACTH level 10 min after stimulation. Only one patient with CD and one with EAS had the highest peripheral ACTH level 5 min after stimulation. No patient had maximum peripheral ACTH levels in the first post-stimulation sample (minute 3). The larger numerator or smaller denominator produces a higher value in a ratio. In the samples obtained immediately after stimulation, the highest concentration of ACTH was in the IPS, and the lowest was in the peripheral blood. Therefore, as mentioned, the highest post-stimulation value of the IPS/P ACTH ratio was obtained at minute 3. MRI results MRI results showed pituitary adenoma in five patients, enhancement in one patient, pituitary mass and lesion in two patients, empty sella in two patients, and possible pituitary adenoma and adrenal mass in one patient (Table 5). Table 5 Final diagnosis, lateralization, MRI results, and management Full size table Immunohistochemistry (IHC) results According to the pathology report, eight patients were confirmed as CD (Table 5). The other two patients were EAS (one carcinoid tumor of the lung and one pheochromocytoma). One patient had no documented pathologic source of hypercortisolemia because the patient did not consent to surgery, and the diagnosis of EAS was made based on the results of biochemical tests. BIPSS vs. MRI results MRI results showed pituitary adenoma in five patients with CD. MRI and BIPSS showed the adenoma on a similar side in two of them. In the other three patients, MRI showed bilateral adenoma, but BIPSS lateralized the adenoma to one side. One of the other three patients had only left-sided enhancement but no overt adenoma on MRI, whereas BIPSS lateralized the adenoma to the right side. One patient had a low-signal pituitary mass on the right side on MRI, and BIPSS also lateralized to the right. Another patient with a history of transsphenoidal surgery (TSS), diagnosed as recurrent CD, had a partially empty sella. MRI was equivocal, but BIPSS lateralized to the left side. Among patients with EAS, one with an equivocal BIPSS result had an empty sella on MRI. Two other patients had pituitary lesions on MRI, but BIPSS results were equivocal. Comparison between BIPSS, MRI, and surgery Among patients with CD, the final diagnosis based on surgery in three patients was consistent with MRI and BIPSS results and lateralized the adenoma on the same side. In one patient, the surgery result was similar to the MRI findings and showed bilateral adenoma, but BIPSS showed adenoma on the left side. In the patient with equivocal MRI findings and a history of TSS, IHC could not identify ACTH +, although BIPSS lateralized to the left side. In three other patients, surgery results were concordant with BIPSS and lateralized the adenoma on the same side, although MRI showed discordant results. Validity of BIPSS Baseline IPS/P ACTH resulted in a sensitivity of 87.5%, specificity of 100%, PPV of 100%, NPV of 75%, and accuracy of 91%. Stimulation with DDAVP improved validity. Both stimulated IPS/P ACTH and normalized ACTH/prolactin IPS/P ratio resulted in a sensitivity of 100%, specificity of 100%, PPV of 100%, NPV of 100%, and accuracy of 100%. BIPSS, either unstimulated or stimulated, had higher validity than MRI, with a sensitivity of 62.5%, specificity of 33%, PPV of 71%, NPV of 25%, and accuracy of 54%. BIPSS accurately predicted pituitary adenoma lateralization in 75% of patients with CD. Discussion In this study, BIPSS before stimulation showed a sensitivity of 87.5% and a specificity of 100%. However, BIPSS after stimulation showed a sensitivity of 100% and specificity of 100%. It has been demonstrated that the sensitivity of BIPSS can vary from 88 to 100%, and its specificity from 67 to 100% in the diagnosis of CD [24]. Previous studies have reported sensitivity and specificity of more than 80% and 90% for BIPSS, and the combination of BIPSS with stimulation by CRH or DDAVP improves the sensitivity and specificity to more than 95 and 100%, respectively [15, 19, 25]. Chen et al. suggested the optimal IPS:P cutoff value of 1.4 before and 2.8 after stimulation [20]. Considering these cutoffs, the only patient in this study who was negative for CD before stimulation becomes positive, and the sensitivity before stimulation increases from 87.5 to 100%. The diagnostic accuracy after stimulation remains unchanged. Results of the current study showed that BIPSS is highly valued in final diagnosis, even without stimulation. In this investigation, the utilization of Prolactin-normalized ACTH IPS/P ratios exhibited a sensitivity and specificity of 100% for the CD diagnosis. This finding aligns with research conducted by Detomas et al., which reported a sensitivity of 96% and specificity of 100% for the normalized ACTH: Prolactin IPS/P ratio [26]. It seems that concurrently assessing prolactin levels may potentially enhance the diagnostic accuracy of BIPSS. However, the current literature is inconsistent. Some studies do not support the use of prolactin to diagnose CD [27]. In all patients, the IPS/P ACTH ratio at minute 15 did not show a considerable difference from this ratio at minute 0. Previous studies have shown that sampling at minute 15 is not helpful for diagnosis [1, 15, 20, 28]. Unlike the IPS/P ACTH ratio, six patients had the highest peripheral ACTH level at minute 15 after stimulation, but no patient had it at minute 3 after stimulation. However, more studies are needed to obtain more precise results, and this study’s sample size was limited. BIPSS accurately lateralized the adenoma in six patients with CD, but MRI was able to lateralize the adenoma in two patients correctly. BIPSS had higher validity than MRI in differentiating CD from EAS, both with and without stimulation. The current literature is controversial. Colao et al. reported that adenoma could be accurately localized in 65% of patients using IPSS [23]. However, Lefournier et al. showed that the diagnostic accuracy of IPSS in identifying the side of the pituitary adenoma was 57% [28]. Wind et al. showed that the PPV for IPSS to identify the tumor side correctly was 69%. Additionally, MRI was more accurate than IPSS in tumor lateralization [29]. Earlier studies have shown that MRI may show a pituitary lesion, and BIPSS indicates a pituitary adenoma. However, the lesion observed on the MRI is not related to the pituitary adenoma [1, 15, 19, 25, 28]. Also, MRI may show pituitary lesions, while BIPSS indicates EAS. In the current study, the concordance of IHC results with BIPSS and MRI findings was inconclusive, possibly due to the limited number of patients. However, there is disagreement about the role of pathological study in diagnosis [19, 28]. Eight patients had elevated basal serum cortisol levels in this study (Sensitivity:73%). Instead, all patients had hypercortisolemia according to basal 24-hour UFC results, and no false-negative results were observed (Sensitivity:100%). This study’s findings were consistent with previous studies regarding low sensitivity for basal serum cortisol and high sensitivity for 24-hour UFC as screening tests for hypercortisolemia [6, 30, 31]. After HDDST, basal serum cortisol suppression was observed in three patients with CD (cases 2, 3, and 😎 but not in the others with CD. Also, serum cortisol levels were suppressed after HDDST in a patient with EAS who had a lung carcinoid tumor. Arnaldi et al. showed that some carcinoid tumors might be sensitive to HDDST, and suppression of serum cortisol may be observed after this test [1, 32]. After HDDST, six patients with CD had suppressed 24-hour UFC, but one did not show more than 50% suppression. Two patients with EAS had more than 50% 24-hour UFC suppression. According to the final pathology report, the sensitivity of serum and urine cortisol level tests after HDDST was 43% and 86%, and the specificity was 67% and 33%, respectively. PPV in both was 75%, NPV was 33% and 50%, and accuracy was 50% and 70%, respectively, which shows that these preliminary tests cannot be a good guide for the final diagnosis and subsequent treatment planning. Previous studies showed that more than one biochemical test could improve the accuracy for differentiating between CD and EAS [1, 5, 6, 9, 31]. The current study confirms the importance of using more than one biochemical test for diagnosing hypercortisolemia and diagnosing CD from EAS. Detomas et al. reported that Hb levels were high in females with CS while they were low in males with CS. Furthermore, there were lower levels of Hb in EAS than in CD in females [33]. In the current study, the Hb levels were not different in women and men. Furthermore, no statistical difference was observed for Hb levels between patients with a final diagnosis of CD and EAS. Hb levels did not contribute to diagnosing ACTH-dependent CS in this analysis. There were some limitations in this study. First, the sample size was relatively small. Second, it was a retrospective study. Further studies could investigate the BIPSS in a larger sample size and determine the validity of this method in patients with CS. Conclusions The current study suggests that BIPSS can be a reliable and low-complication method in evaluating patients with ACTH-dependent CS who had equivocal results in imaging and biochemical tests, even before stimulation. Stimulation with DDAVP increases diagnostic accuracy. BIPSS can be used to predict the lateralization of the pituitary adenoma. Data Availability All data generated or analyzed during this study are included in this published article. Abbreviations BIPSS: Bilateral inferior petrosal sinus sampling ACTH: Adrenocorticotropic hormone CS: Cushing’s syndrome IPS: Inferior petrosal sinus DDAVP: Desmopressin CD: Cushing’s disease EAS: Ectopic ACTH syndrome MRI: Magnetic resonance imaging UFC: Urinary free cortisol DST: Dexamethasone suppression test HDDST: High-dose dexamethasone suppression test CRH: Corticotropin-releasing hormone BMI: Body mass index FBS: Fasting blood glucose Hb: Hemoglobin Cr: Creatinine PPV: Positive predictive value NPV: Negative predictive value SBP: Systolic blood pressure DBP: Diastolic blood pressure K: Potassium HTN: Hypertension IHC: Immunohistochemistry TSS: Transsphenoidal surgery References Arnaldi G, Angeli A, Atkinson A, Bertagna X, Cavagnini F, Chrousos G, et al. Diagnosis and Complications of Cushing’s syndrome: a consensus statement. J Clin Endocrinol Metabolism. 2003;88(12):5593–602. Article CAS Google Scholar Sharma ST, Nieman LK, Feelders RA. 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J Clin Endocrinol Metabolism. 2008;93(5):1553–62. Article CAS Google Scholar Pecori Giraldi F, Ambrogio AG, De Martin M, Fatti LM, Scacchi M, Cavagnini F. Specificity of first-line tests for the diagnosis of Cushing’s syndrome: assessment in a large series. J Clin Endocrinol Metabolism. 2007;92(11):4123–9. Article Google Scholar Terzolo M, Pia A, Reimondo G. Subclinical cushing’s syndrome: definition and management. Clin Endocrinol. 2012;76(1):12–8. Article CAS Google Scholar Detomas M, Deutschbein T, Tamburello M, Chifu I, Kimpel O, Sbiera S et al. Erythropoiesis in Cushing syndrome: sex-related and subtype-specific differences. Results from a monocentric study. J Endocrinol Investig. 2023. Download references Acknowledgements The authors wish to thank the patients for their participation and kind cooperation. Funding The authors did not receive support from any organization for the submitted work. Author information Authors and Affiliations Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran Mohammadali Tavakoli Ardakani, Soghra Rabizadeh, Amirhossein Yadegar, Fatemeh Mohammadi, Sahar Karimpour Reyhan, Reihane Qahremani, Alireza Esteghamati & Manouchehr Nakhjavani Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran Hossein Ghanaati Contributions MN and MTA and SR: Conception and design of the study. AY and FM and HG: Acquisition of data. MTA and AY and SR: Analysis and interpretation of data. FM and RQ and SK: Drafting the article. MN and AE and AY: Critical revision of the article. All authors read and approved the final manuscript. Corresponding author Correspondence to Manouchehr Nakhjavani. Ethics declarations Ethics approval and consent to participate This study was performed in line with the principles of the Declaration of Helsinki. Informed consent was obtained from all participants or their legal guardians. Approval was granted by the Research Ethics Committee of Tehran University of Medical Sciences (Approval number: IR.TUMS.MEDICINE.REC.1398.707). Consent for publication In order to publish this study, written informed consent was obtained from each participant. A copy of the written consent form is available for review by the journal editor. Competing interests The authors declare no competing interests. Additional information Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Reprints and Permissions Cite this article Ardakani, M.T., Rabizadeh, S., Yadegar, A. et al. Bilateral inferior petrosal sinus sampling: validity, diagnostic accuracy in lateralization of pituitary microadenoma, and treatment in eleven patients with Cushing’s syndrome – a single-center retrospective cohort study. BMC Endocr Disord 23, 232 (2023). https://doi.org/10.1186/s12902-023-01495-z Download citation Received05 July 2023 Accepted19 October 2023 Published23 October 2023 DOIhttps://doi.org/10.1186/s12902-023-01495-z Share this article Anyone you share the following link with will be able to read this content: Get shareable link Provided by the Springer Nature SharedIt content-sharing initiative Keywords BIPSS Bilateral inferior petrosal sinus sampling Cushing’s Disease Cushing’s syndrome EAS From https://bmcendocrdisord.biomedcentral.com/articles/10.1186/s12902-023-01495-z

We have an opportunity for you to take part in a Cushing’s Disease, Type 2 Diabetes Study (M3_8994) for patients. Our project number for this study is M3_8994. Project Details: Web-assisted telephone interview (you must be by a computer with high-speed internet access while on the phone during the time of the interview) Interview is 60-minutes long 120 Dollar Reward Things to Note: We recommend using the web browsers Google Chrome or FireFox Study is open to patients Please do not share study links One participant per household only Want to share this opportunity? Let us know and we can provide a new link Please use a laptop/computer ONLY. No smartphones or tablets - Preliminary questions are mobile friendly! Save this email to reference if you have any questions about the study! If you have any problems, email tana.karamustafic@rarepatientvoice.com and reference the project number. If you are interested in this study, please click the link below to answer a few questions to see if you qualify. Study link: Start Here OR if the study hyperlink is not clickable above, please copy/paste this URL below. https://panel.rarepatientvoice.com/newdesign/site/rarepatientvoice/surveystart.php?surveyID=s4gl5f3v5tr8&panelMemberID=trfnbc7mvduh1gseff1h&invite=email Thanks as always for your participation! Please be aware that by entering this information you are not guaranteed that you will be selected to participate. As always, we do not share any of your contact information without your permission. We have recently updated our Privacy Policy. Please make sure you have read through it and agree to the terms and conditions before taking studies. Please contact us at research@rarepatientvoice.com if you have any questions.

Objective: This study evaluated short- and long-term efficacy and safety of the second-generation somatostatin receptor ligand pasireotide alone or in combination with dopamine agonist cabergoline in patients with Cushing’s disease (CD). Study design: This is an open-label, multicenter, non-comparative, Phase II study comprising 35-week core phase and an optional extension phase. All patients started with pasireotide, and cabergoline was added if cortisol remained elevated. Eligible patients had active CD, with or without prior surgery, were pasireotide naïve at screening or had discontinued pasireotide for reasons other than safety. Primary endpoint was proportion of patients with a mean urinary free cortisol (mUFC) level not exceeding the upper limit of normal (ULN) at week 35 with missing data imputed using last available post-baseline assessments. Results: Of 68 patients enrolled, 26 (38.2%) received pasireotide monotherapy and 42 (61.8%) received pasireotide plus cabergoline during the core phase. Thirty-four patients (50.0%; 95% CI 37.6–62.4) achieved the primary endpoint, of whom 17 (50.0%) received pasireotide monotherapy and 17 (50.0%) received combination therapy. Proportion of patients with mUFC control remained stable during the extension phase up to week 99. Treatment with either mono or combination therapy provided sustained improvements in clinical symptoms of hypercortisolism up to week 99. Hyperglycemia and nausea (51.5% each), diarrhea (44.1%) and cholelithiasis (33.8%) were the most frequent adverse events. Conclusion: Addition of cabergoline in patients with persistently elevated mUFC on maximum tolerated doses of pasireotide is an effective and well-tolerated long-term strategy for enhancing control of hypercortisolism in some CD patients. Clinical trial registration: https://clinicaltrials.gov/ct2/show/NCT01915303, identifier NCT01915303. 1 Introduction Cushing’s disease (CD) is a rare condition arising from chronic overproduction of cortisol, secondary to an adrenocorticotropic hormone (ACTH)-secreting pituitary tumor (1). Untreated hypercortisolism results in substantial multisystem morbidity, impaired quality of life (QoL) and premature mortality (1–4). Pasireotide is a second-generation, multireceptor-targeted somatostatin receptor ligand (SRLs), with affinity for 4 of the 5 known somatostatin receptor subtypes (SSTRs) (5) and is approved for the treatment of patients with CD for whom surgery has failed or is not an option (6). Phase III trials of pasireotide monotherapy have shown sustained biochemical and clinical benefits up to 5 years (6–9). These benefits are also reflected in real-world evidence (10). Cabergoline, a potent dopamine agonist with high affinity for dopamine type 2 receptors (D2), is commonly used off-label for the treatment of CD (2). Small, retrospective, non-randomized studies have demonstrated long-term urinary free cortisol (UFC) control (24−;60 months) in 23−;40% of patients with CD, especially those with mild hypercortisolism (11–13). A meta-analysis of individual patient data from six observational studies (n=124) reported normalization of mean UFC (mUFC) levels in 34% of patients (14, 15). However, a short prospective study on cabergoline monotherapy showed a limited value in controlling UFC, possibly linked to short duration (16). As most corticotropinomas co­express SSTR5 and D2, combining pasireotide and cabergoline in a stepwise approach could potentially improve efficacy with achieving more rapid biochemical control (17), a premise supported by results from an 80-day pilot study of 17 patients with CD treated with cabergoline- pasireotide combination, and low-dose ketoconazole (in case of lack of complete control with the two-drug combination) (18). The current study aims to report the efficacy and safety of prolonged treatment with pasireotide alone or in combination with cabergoline from the largest prospective, multicentre study to date of a pituitary-targeting combination treatment regimen in patients with CD (NCT01915303). 2 Materials and methods 2.1 Patients Adults (≥18 years) with a confirmed diagnosis of CD or de novo CD, if they were not candidates for surgery or refused surgery were enrolled. Cushing’s disease was defined by a mean 24-hour (24h) UFC level greater than the upper limit of normal (ULN, 137.95 nmol/24h), calculated from three 24h samples collected within 2 weeks; a morning plasma ACTH level within or above the normal range; and a confirmed pituitary source of Cushing’s syndrome, determined by MRI confirmation of pituitary adenoma >6mm or inferior petrosal sinus sampling (IPSS) gradient >3 after CRH stimulation (or >2 if IPSS without CRH stimulation) for those patients with a tumor ≤6mm. For patients who had prior pituitary surgery, histopathology confirming an ACTH staining adenoma was considered confirmatory of CD. Key exclusion criteria included optic chiasm compression requiring surgery, poorly controlled diabetes (glycated hemoglobin [HbA1c] >8%) and having risk factors for torsades de pointes (for further details, see the Supplementary Appendix). 2.2 Study design This was a single-arm, open-label, multicenter, non-comparative, Phase II study. After 4 weeks of screening, patients were treated in a stepwise approach during the core phase. Patients received subcutaneous pasireotide 0.6 mg twice daily (bid) for 8 weeks. Patients with a mUFC level exceeding ULN after 8 weeks received pasireotide 0.9 mg bid for another 8 weeks. If mUFC level remained elevated with pasireotide 0.9 mg bid, oral cabergoline 0.5 mg once daily (qd) was added for 8 weeks and could be increased to 1.0 mg qd for another 8 weeks (Supplementary Figure S1). After 35 weeks of treatment in the core phase, patients could enter the extension phase of the trial. Addition or titration of cabergoline during the extension phase was at the discretion of investigators. Collection of extension data commenced from week 43, and patients continued their current study treatment up to study end (4 September 2019; date of last patient visit), week 257. Data beyond week 99 are not reported here because of small patient numbers. 2.3 End points and assessments The primary endpoint of the study was the proportion of patients with mUFC ≤ULN at week 35. Secondary endpoints (reported at 4-week intervals up to week 35 and 8-week intervals from week 43 to the date of the last patient visit) included changes from baseline in mUFC, plasma ACTH, serum cortisol, total cholesterol, and clinical signs (systolic/diastolic blood pressure, body mass index (BMI), weight, waist circumference, facial rubor, hirsutism, striae, supraclavicular and dorsal fat pads) and symptoms (CushingQoL). Treatment escape was defined as an increase in one UFC above the normal range during follow-up of complete responders (14). Cushing Quality of Life Questionnaire (CushingQoL) (19) scores were reported up to week 35 only. Details on the safety assessments are provided in the Supplementary Appendix. 2.4 Statistical analyses No formal hypothesis testing was performed because of the exploratory design of the study. Efficacy analyses were conducted on full analysis set, i.e., all patients to whom study treatment was assigned. Safety analyses were conducted on all patients who received ≥1 dose of pasireotide per day during the study. For patients with missing mUFC value at week 35, including those who discontinued, the last available assessment was carried forward. Details on the post hoc analyses and sample size estimation is provided in the Supplementary Appendix. Enrolled patients, who were observed for failed inclusion or exclusion criteria during the monitoring visits, were classified under protocol deviation. However, patients with no safety concerns were allowed to continue in the study and included in the full analysis set as intention to treat – assessing the study outcome, while some patients were excluded from the per protocol analysis. 3 Results 3.1 Study population A total of 68 patients were enrolled in the study. At baseline, 66 (97.1%) patients were pasireotide naïve, while 2 (2.9%) were treated with pasireotide previously with 4 weeks of washout period prior to screening (Table 1). Of 68 patients received treatment during the core phase, 26 (38.2%) received pasireotide monotherapy and 42 (61.8%) received combination therapy. Fifty-two (76.5%) patients completed the 35-week core phase while 16 (23.5%) discontinued (Figure 1). All 68 patients were included in the full analysis set based on the intention to treat (ITT) principle. One of the protocol deviations observed during the study, was inclusion of 3 patients with normal mUFC value at screening visit (baseline) and assigning a treatment. The deviation category for the 3 patients was ‘failed inclusion criteria’ with screening mUFC value ≤ULN (137.95 nmol/24h) or mUFC calculated using ❤️ UFC values or 2 out of 3 UFC values ≤ULN. One of these patients (baseline mUFC 37.37 nmol/24h ≤ULN) was discontinued from the study at Week 2 and due to lack of post-baseline mUFC assessment, was classified ‘non-responder’ at Week 35 assessment. The 2nd patient’s baseline mUFC value of 135.20 nmol/24h was close to ULN (137.95 nmol/24h) and was rescreened. Based on the rescreened mUFC value 306.5 nmol/24h, this patient was included in study, and the mUFC at Week 35 was 192.30 nmol/24h (non-responder at Week 35 assessment). For all study assessments, the scheduled screening visit’s first mUFC value (≤ULN) was used as baseline value. The 3rd patient (baseline mUFC value 131.77 nmol/24h) was discontinued from the study at Week 26 and was also observed for non-compliant schedule visit and medication dosages. The mUFC value recorded at Week 26 (88.95 nmol/24h) was ≤ULN and this last observation was carried forward to Week 35. Hence, the patient was classified ‘responder’, leaving one patient included in the study as responder as a protocol deviation. Table 1 Table 1 Patient demographics and baseline characteristics. Figure 1 Figure 1 Patient disposition. *If the study drugs were locally available at the end of the core phase, patients could switch over to the commercial supply and exit the extension phase. Only in countries where the drug was not locally available were patients given the option to enter the extension phase. Percentage for patients not entering the extension phase was calculated from the total number of patients enrolled in the study. Twenty-nine (42.6%) patients continued treatment in the extension phase; 10 (34.5%) received pasireotide monotherapy and 19 (65.5%) received combination therapy. Twelve (41.4%) patients completed the extension phase, while 17 (58.6%) discontinued treatment before study end, most commonly for unsatisfactory therapeutic effect (n=8). The most common reason for discontinuation was adverse events (AEs): 5 (17.2%) patients with pasireotide monotherapy and 2 (5.1%) patients with combination therapy. 3.2 Efficacy: biochemical response Overall, 34/68 (50.0%; 95% CI 37.6–62.4) patients achieved the primary endpoint, of whom 17 (50.0%) were receiving pasireotide monotherapy and 17 (50.0%) were receiving combination therapy. Patients with mild hypercortisolism (mUFC 1.0–<2.0 x ULN) at baseline were more likely to respond to both pasireotide monotherapy and combination therapy (n=15; 22.1%, Figure 2). Seven of 17 patients in the pasireotide monotherapy group met the primary endpoint based on their last available assessment prior to week 35. Even if the 3 patients who had mUFC ≤ULN at baseline were excluded from the primary analysis, 33/65 (50.7%; 95% CI 38.1–63.4) patients would have achieved the primary endpoint. The results are similar to the original analysis (34/68 (50.0%; 95% CI 37.6–62.4) based on the full analysis set. Figure 2 Figure 2 Patients achieving mUFC ≤ULN at week 35. †At baseline there were 23 patients with mild, 30 with moderate and 12 with severe hypercortisolism. mUFC, mean urine free cortisol; ULN, upper limit of normal. For the overall study population (n=68), mUFC rapidly decreased from 501.6 nmol/24h (3.6 x ULN; SD: 488.66 nmol/24h) to 242.1 nmol/24h (1.8 x ULN; SD: 203.47 nmol/24h) at week 4 and mUFC remained below baseline levels up to week 35 (184.8 nmol/24h; 1.3 x ULN; SD:140.13 nmol/24h). For patients who received pasireotide monotherapy (n=26), mUFC( ± SD) decreased from baseline (442.1± 557.13 nmol/24h [n=26]; 3.2 x ULN) to week 35 (136.6 ± 127.77 nmol/24h [n=14]; 1 x ULN) and at the end of the study (111.2 ± 40.39 nmol/24h [n=5]; 0.8 x ULN) using the last-observation-carried-forward (LOCF). For those who did not normalize on pasireotide monotherapy (n=42), mUFC ( ± SD) decreased from baseline, i.e., last observation before starting cabergoline (280.20 ± 129.03 nmol/24h [n=40]; 2.0 x ULN) to week 35 (206.6 ± 141.96 nmol/24h [n=31]; 1.5 x ULN) and at the end of the study (219.60 ± 83.78 nmol/24h [n=7]; 1.6 x ULN) using the LOCF. During the core phase, mean serum cortisol decreased from 738.6 nmol/L (1.3 x ULN) at baseline to 538.2 nmol/L (0.95 x ULN) and ACTH levels from 16.3 pmol/L (2.7 x ULN) to 11.0 pmol/L (1.8 x ULN) at week 35. During the extension phase, 25 patients had a mUFC assessment; of whom 12 (48%) had a mUFC ≤ULN at the end of the extension phase. During the extension phase, mUFC levels decreased slightly and fluctuated above and below the ULN up to the week 139 (Figure 3A), while mean serum cortisol remained below ULN (404 nmol/L; Figure 3B) and ACTH levels fluctuated from 8.2 pmol/L to 11.5 pmol/L) and remained above the ULN value (Figure 3C). Figure 3 Figure 3 Mean actual change over time in (A) mUFC (B) serum cortisol, and (C) ACTH. ACTH, adrenocorticotropic hormone; mUFC, mean urine free cortisol; ULN, upper limit of normal . Twenty-one of 38 (55%) patients achieved control with combination therapy at some point during the core or extension study, of whom 13 (62%) experienced escape (at least one UFC >ULN after previous control). The time to achieve control after starting cabergoline ranged from 14−;343 days. Notably, one patient received pasireotide 0.6 mg bid initially, dose increased to 0.9 mg bid at Week 17, followed by addition of cabergoline 0.5 mg od at Week 31. The patient achieved biochemical control (mUFC value of 120.15 nmol/24h) on the same day of the start of combination therapy. Clinically it is highly unlikely that biochemical control was achieved with single dose of cabergoline administration. Therefore, it could be considered that normalization was achieved while receiving pasireotide monotherapy. Also, the physician might have prescribed combination therapy before receiving the mUFC value of the (urinary) sample delivered on the morning of combination therapy initiation (while the patient was still on monotherapy). The patient continued combination therapy and maintained biochemical control up to Week 35 and beyond. Furthermore, at Week 59 the cabergoline dose was increased to 1.0 mg/day due to mUFC >ULN at previous visit (Week 51). The patient remained on pasireotide 0.9 mg bid/cabergoline 1.0 mg od combination therapy until the study end. The median time to escape after achieving control with the addition of cabergoline was 58 days (range 28−;344). 10/13patients regained biochemical control with combination therapy. No patients on pasireotide alone experienced escape, probably due to the short observation time. 3.3 Clinical signs and symptoms of CD Relative to baseline, pasireotide monotherapy was accompanied by reductions in median blood pressure, weight, BMI, waist circumference, and total cholesterol. Overall improvement in clinical measures persisted over time (Supplementary Table S1). Clinical improvements were also seen following the addition of cabergoline, particularly for hirsutism (Supplementary Figures S2, S3). Mean( ± SD) standardized CushingQoL score was 41.6(± 20.2) at baseline and increased to 47.6(± 20.8) at week 35 (Supplementary Table S2), indicating improvements in patients’ QoL (19). 3.4 Safety and tolerability Median duration of exposure to pasireotide was 35.0 weeks (range 0−;268), with a median dose of 1.53 mg/day (range 0.29−;1.80). Median duration of exposure to cabergoline was 16.9 weeks (range 1−;215), with a median dose of 0.50 mg/day (range 0.44−;0.97). All patients (N=68) reported at least one AE and 28/68 (41.2%) patients had a grade 3/4 AE (Table 2). The most common AEs (≥30%) were hyperglycemia and nausea (51.5% each), diarrhea (44.1%) and cholelithiasis (33.8%). Treatment-related AEs (TRAEs) were reported in 66/68 (97.1%) patients; the most frequent TRAEs (≥30%) were hyperglycemia and nausea (47.1% each), diarrhea (39.7%), and cholelithiasis (32.4%). Fourteen (20.6%) patients had ≥1 AE leading to discontinuation. Table 2 Table 2 Summary of adverse events (≥10%), overall and by treatment regimen. The most common AEs leading to discontinuation were increased gamma-glutamyl transferase (GGT) and hyperglycemia (two patients each, 2.9%). Twenty-three (33.8%) patients had ≥1 AE leading to dose adjustment or interruption. Details on special safety assessments such as hyperglycemia-related AEs, blood glucose, HbA1c, IGF-1 as well as hematological and biochemical abnormalities are presented in the Supplementary Appendix. Three (4.4%) patients died during the study, two (2.9%) during the core phase and one (1.5%) during the extension. All deaths were considered unrelated to study medication. The causes during the core phase were multi-organ dysfunction syndrome for one patient aged 79 years and unknown for the other aged 34 years. Uncontrolled hypertension was reported as the cause of death for the patient aged 47 during the extension phase. 4 Discussion The severe morbidity and increased mortality with uncontrolled CD highlight the importance of identifying an effective medical strategy. This study explored the potential of a synergistic benefit of the addition of cabergoline to pasireotide treatment in patients with CD. Complete normalization of cortisol production is required to reverse the risks of morbidity and mortality in patients with CD (1). Two small studies showed clinical improvement of normalized UFC when cabergoline and ketoconazole were combined (20, 21). Benefit has also been reported with triple therapy with pasireotide, cabergoline and ketoconazole (18) and triple therapy with ketoconazole, metyrapone and mitotane in severe CD (22). In the current study, 50% of patients achieved the primary endpoint of mUFC ≤ULN at week 35 and a similar proportion (48%) sustained biochemical control throughout the extension phase. Notably, combination treatment doubled the number of patients who attained mUFC ≤ULN from the core phase to the end of the extension phase. In particular, mUFC was rapidly reduced with treatment, i.e., in most patients within 2 months, while measures of patient-reported outcomes also improved including QoL. Twenty-three patients (33.8%) who completed the core phase did not enter the extension phase. This was because only patients from countries where a commercial supply was unavailable were given the option to enter the extension phase. This study confirms previous reports that patients with mild hypercortisolism at baseline were more likely to achieve mUFC control with pasireotide monotherapy than patients with moderate or severe hypercortisolism (6, 23). In addition, patients with moderate hypercortisolism at baseline were more likely to achieve mUFC control with the addition of cabergoline. This supports that a combination therapy can be effective for patients with a wider range of disease severity. Accordingly, in vitro data may indeed indicate synergism between SSTR and D2 that might increase therapeutic efficacy (24, 25). Improvements in clinical signs and symptoms with pasireotide monotherapy were consistent with published data (6, 10). In the core phase, an improvement of blood pressure and BMI was observed with pasireotide monotherapy and, to a lesser extent, with combination therapy which may related to the difference in duration of biochemical remission. The overall safety profile was consistent with that expected for pasireotide, with most AEs being mild/moderate (26, 27). There were no new safety signals identified with the addition of cabergoline. Common AEs including nausea, headache, dizziness, and fatigue are suggestive of steroid withdrawal symptoms associated with the decrease in UFC, although direct drug effects cannot fully be excluded. Adrenal insufficiency was not reported as side effect. Rates of hyperglycemia-related AEs (68%) were consistent with those in previous reports of pasireotide monotherapy (6, 10). FPG increased with pasireotide monotherapy during the first 8 weeks of treatment and stabilized for the remainder of the study, including following the addition of cabergoline. These data highlight the vital role of blood glucose monitoring in these patients. Both pasireotide and cabergoline are pituitary-targeted agents that act directly on the source of the disease via inhibition of ACTH release by the corticotroph tumor, which may be an advantage over steroid synthesis inhibitors. This study further confirms previous data reporting the benefits of pasireotide in combination with cabergoline in patients with CD (18). While not entirely elucidated, down-regulation of dopamine D2 receptors (D2R) expression, and post-receptor desensitization and/or tumor regrowth of corticotroph tumor cell were suggested as possible mechanisms for treatment escape (15). Moreover, different dopamine receptor patterns and/or D2R isoforms also influence the response and eventually the treatment escape. Treatment escape has been observed in some studies after long-term (7−;12 months) treatment with cabergoline (13), however it is possible that use of concomitant SRLs could potentially reduce the rate of escape. In this study, a total of 13 patients experienced treatment escape. However, 10 of these patients regained biochemical control. For 7 of these 10 patients, there was up titration of doses to a maximum of 1.8 mg/day of pasireotide and 1 mg/day of cabergolineAlthough pasireotide and cabergoline have shown long-term reduction in IGF-1 levels in patients with acromegaly (28, 29), there is little evidence for this effect in patients with CD (4, 30). One study (n=17) found significant decreases in IGF-1 after 28 days’ treatment with pasireotide that was independent of UFC reduction. One-third of patients had low IGF-1 (30). Our study showed that almost half of patients (47.6%) had IGF-1 levels either above ULN or below LLN prior to the addition of cabergoline, and IGF-1 levels decreased relative to the baseline, with majority of values within the normal range during the core and extension phases up to week 99. Baseline levels of IGF-1 may already be low because of the suppressive effect of excess cortisol on the somatotropic axis (31). Although clinicians have several therapeutic options at their disposal to treat hypercortisolemia associated with CD, the optimal treatment approach should be based on the individual clinical situation and the benefit–risk considerations for each patient. In this study, 13 patients had history of pituitary radiation, with a duration of at least 2.6 years (median 3.3 years) between the last radiation treatment and the observed response date. However, only 7/13 patients achieved the therapeutic target. Although there was a gap of > 2 years, we cannot exclude the role of radiation in normalizing UFC. Contrastingly, 6/13 patients treated with radiation did not achieve mUFC ≤ULN (responders) at Week 35. The impact of the adjuvant radiation therapy remains unclear. The strengths of this study are that this is the largest and longest prospective study with pituitary-directed pharmacotherapy, to date, evaluating the addition of cabergoline to pasireotide in patients with CD, and this stepwise approach reflects real-world clinical practice (18). The study is limited by the open-label design and the fact that it was not a head-to-head comparative study of pasireotide only versus pasireotide plus cabergoline. This may be of importance in interpreting patient-reported outcomes. Several patients continued treatment for almost 2 years; however, interpretation of long-term data should be made with caution because of the small patient numbers. Notably, the last available assessment was carried forward for patients with missing mUFC value at week 35 including those who discontinued and were considered for response analysis. It should also be noted that the definition of loss of response, also known as escape, used in this study (at least one UFC value >ULN after previously achieving UFC ≤ULN) may overestimate the rate of apparent escape as UFC values may have fluctuated about the ULN range or been marginally elevated. The definition of treatment escape differs across studies, and we have used a very stringent one in this study, requiring only a single high UFC to meet the classification as escape. Thus, it is likely that some loss of biochemical control interpreted as escape is actually fluctuation of cortisol around the upper limit of normal range. Other limitations include protocol deviations in including 3 patients with normal UFC at baseline (one patient was uncontrolled at rescreen, and one was discontinued at 2 weeks - both classified as non-responders), lack of data on impact of radiation therapy without study drug in patients who gained biochemical control with adjuvant radiation therapy, lack of pituitary magnetic resonance imaging to detect pituitary tumor changes, lack of data about effective cabergoline dose and absence of cardiac valve assessment for mild to moderate severity in the medium term. Both pasireotide and cabergoline can induce tumor shrinkage in CD (6, 9, 32–35) and it would be interesting to examine the combined effect on tumor size. This study used the subcutaneous formulation of pasireotide, whereas the most common usage currently is the long-acting formulation. Efficacy of long-acting pasireotide (36) seems higher compared to the subcutaneous formulation (7) and the effect of combination of long-acting pasireotide with cabergoline should be evaluated in future studies. No formal assessments were made for impulsive control disorders, which have been associated with dopamine agonists, including cabergoline (32, 33, 37, 38). The reason that several different terms were used for hyperglycemia-related AEs is that they were reported as per discretion of each investigator. No additional psychiatric AEs were reported, although they were not exhaustively searched. 5 Conclusions This is the first study demonstrating that pituitary-targeted combination treatment with pasireotide and cabergoline doubled the number of patients who attained mUFC ≤ULN. Both short- and long-term safety profile are consistent with known data for pasireotide and cabergoline. The low rate of discontinuation due to AEs suggests that pasireotide alone or as combination treatment is generally well-tolerated if appropriately monitored, even with prolonged treatment. The addition of cabergoline to pasireotide treatment in patients with persistently elevated mUFC could be an effective long-term strategy for enhancing the control of CD in a subset of patients, with close monitoring for possible escape. Data availability statement The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author. Ethics statement The studies involving humans were approved by Hospital Britanico, Buenos Aires, Argentina; Ethische commissie University Hospitals Leuven, Leuven, Belgium; Universitair Ziekenhuis Gent, Gent, Belgium; Comite de Etica em Pesquisa Hospital Moinhos de Vento, Porto Alegre-RS, Brazil; Comitê de Ética em Pesquisa do Hospital de Clı́nicas, Universidade Federal do Paraná, Curitiba-PR, Brazil; Comissão de Ética para Análise de Projetos de Pesquisa, São Paulo - SP, Brazil; Ethics Committee for clinical trials, Sofia, Bulgaria; Comité Corporativo de Ética en Investigación, Bogotá DC, Colombia; Comite De Protection Des Personnes, Groupe Hospitalier Pellegrin - Bat, Bordeaux Cedex, France; Friedrich-Alexander Universitat Erlangen-Nurnberg, Medizinische Fakultat, Erlangen, Germany;National Ethics Committee, Cholargos, Athens, Greece; Ethics Committee for Clinical Pharmacology (ECCP), Budapest, Hungary; Institute Ethics Committee, New Delhi, India; Institutional Review Board (IRB) Ethics Committee Silver, Christian Medical College, Vellore, Tamil Nadu, India; Institute Ethics Committee, PGIMER, Chandigarh, India; Comitato Etico Dell’irccs Istituto Auxologico Italiano Di Milano, Milano, Italy; Comitato Etico Universita’ Federico Ii Di Napoli, Napoli, Italy; Jawatankuasa Etika & Penyelidikan Perubatan (Medical Research and Ethics Committee), d/a Institut Pengurusan Keshatan Jalan Rumah Sakit, Kuala Lumpur, Malaysia; Institutd Nacional De Neurologia Y Neurocirugia, Mexico City, Mexico; Clinica Bajio (CLINBA), Guanajuato, Mexico; Medische Ethische Toetsings Commissie, Rotterdam; Netherlands; CEIm Provincial de Málaga, Málaga, Spain; Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey; WIRB, Puyallup, WA, USA; Research Integrity Office, Oregon Health & Science University Portland, OR USA. The studies were conducted in accordance with local legislations and institutional requirements. The participants provided their written informed consent to participate in this study. Author contributions All authors directly participated in the planning, execution, or analysis, and have had full control of complete primary data, and hold responsibility for data integrity and accuracy. All authors contributed to the article and approved the submitted version. Acknowledgments We thank Julie Brown, Mudskipper Business Ltd, and Manojkumar Patel and Sashi Kiran Goteti, Novartis Healthcare Private Limited, for medical editorial assistance with this manuscript. We would also like to thank all investigators, sub-investigators, study nurses and coordinators, and patients who have made this study possible. Conflict of interest HP and RM were Novartis employees and owned Novartis stocks. AMP was employed by Novartis and Recordati. AC is a Novartis employee and owns Novartis stocks. RF received research grants from Strongbridge and Corcept, consulting fee from Recordati, honoraria and financial support for meetings and/or travel from HRA Pharma and Recordati, and attended advisory boards for Recordati. MF has received research support to Oregon Health & Science University as a principal investigator from Recordati and Xeris Strongbridge and has performed occasional scientific consultancy for Recordati, HRA Pharma, Sparrow, and Xeris Strongbridge. PK attended advisory boards for Recordati. MB’s institution received consulting fee and attended advisory boards from Recordati. DG-D received research grants from Recordati Rare Disease and Bayer, consulting fee from Abbott-Lafrancol, Biotoscana, PTC lab, Glaxo/Helou, Recordati Rare Disease, and Bayer, honoraria from Valentech Pharma, Sanofi, and Bayer, travel grants from Recordati Rare Disease, advocacy groups and other leadership roles from Asociación Colombiana de Endocrinologia and Asociación Colombiana de Osteoporosis y Metabolismo, and other financial and non-financial interests include Asociacion Colombiana de Endocrinologia y Metabolismo, Hospital Universitario Fundación Santa Fé de Bogota, and Asociación Colombiana de Osteoporosis y Metabolismo. CB received research grants from Novartis and Recordati, and consulting and speaker fee from Novartis. BB served as the principal investigator for grants to Massachusetts General Hospital from Cortendo/Strongbridge Xeris, Millendo, and Novartis and has occasionally consulted for Cortendo/Strongbridge Xeris, HRA Pharma, Novartis Recordati, and Sparrow. RP and his institution received research grants and honoraria from Pfizer, Ipsen, Novartis, Merck Serono, IBSA Farmaceutici, Corcept, Shire, HRA Pharma, ICON, Covance, Neuroendocrine CAH, Camurus, Recordati, Janssen Cilag, and CMED Clinical Services, received consulting fee from Recordati Rare Disease, Organon Italia, Siunergos Pharma, Corcept, S&R Farmaceutici S.p.A., DAMOR Farmaceutici, and Pfizer, attended advisory boards from Crinetics Pharmaceuticals, Recordati Rare Disease, Pfizer, and HRA Pharma. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from Novartis Pharma AG. Novartis was involved in the study design, analysis, interpretation of data, and providing financial support for medical editorial assistance of this article. 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(2018) 41(1):19–75. doi: 10.1007/s40264-017-0590-6 PubMed Abstract | CrossRef Full Text | Google Scholar Keywords: somatostatin, pasireotide, cabergoline, Cushing’s disease, hypercortisolism Citation: Feelders RA, Fleseriu M, Kadioglu P, Bex M, González-Devia D, Boguszewski CL, Yavuz DG, Patino H, Pedroncelli AM, Maamari R, Chattopadhyay A, Biller BMK and Pivonello R (2023) Long-term efficacy and safety of subcutaneous pasireotide alone or in combination with cabergoline in Cushing’s disease. Front. Endocrinol. 14:1165681. doi: 10.3389/fendo.2023.1165681 Received: 14 February 2023; Accepted: 11 August 2023; Published: 09 October 2023. Edited by: Renato Cozzi, Endocrinology Unit Ospedale Niguarda, Italy Reviewed by: Przemyslaw Witek, Warsaw Medical University, Poland Athanasios Fountas, General Hospital of Athens G. Genimatas, Greece Copyright © 2023 Feelders, Fleseriu, Kadioglu, Bex, González-Devia, Boguszewski, Yavuz, Patino, Pedroncelli, Maamari, Chattopadhyay, Biller and Pivonello. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. *Correspondence: Richard A. Feelders, r.feelders@erasmusmc.nl †Present addresses: Alberto M. Pedroncelli, Chief Medical Office, Camurus AB, Lund, SwedenRicardo Maamari, Global Medical Affairs, Mayne Pharma, Raleigh, NC, United States ‡These authors have contributed equally to this work Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. 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Abstract Mifepristone and misoprostol are globally used medications that have become disparaged through the stigmatization of reproductive healthcare. Patients are hindered from receiving prompt treatment in clinical scenarios where misoprostol and mifepristone are the drugs of choice. It is no exaggeration to emphasize that in cases where reproductive healthcare is concerned. The aim of this paper is to discuss the different indications of mifepristone and to delineate where the discrepancy in accessibility arises. For this systematic review, we included publications citing clinical trials involving the use and efficacy of mifepristone published in English within the date range of 2000 to 2023. Five databases were searched to identify relevant sources. These databases are Google Scholar, MEDLINE with full text through EBSCO, and three National Center for Biotechnology Information (NCBI) databases (NCBI Bookshelf, PubMed, and PubMed Central). Twenty-three records were ultimately included in this review. Mifepristone has been shown to have therapeutic effects in the treatment of psychiatric disorders, such as major depressive disorder and psychotic depression. There was a significant decrease in depression and psychiatric rating symptoms for patients taking mifepristone versus placebo with no adverse events. Mifepristone has also been shown to improve treatment course in patients with Cushing’s disease (CD) who failed or are unable to undergo surgical treatment. In addition, mifepristone has been shown to be a successful treatment option for adenomyosis and leiomyomas. Patients had a statistically significant decrease in uterine volumes following mifepristone treatment, which aided in the alleviation of other symptoms, such as blood loss and pelvic discomfort. Mifepristone is a synthetic steroid that has immense potential to provide symptomatic relief in patients suffering from a wide array of complicated diseases. Historically, mifepristone has been proven to have an incredible safety profile. While further research is certainly needed, the politicization of its medical use for only one of its many indications has unfortunately led to the willful ignorance of its potential despite its evidence-based safety profile and efficacy. Introduction & Background Mifepristone is a synthetic steroid derived from norethindrone and therefore has antagonistic activity against progesterone and glucocorticoid receptors. Misoprostol is a synthetic prostaglandin E1 analog that works through the direct stimulation of prostaglandin E1 receptors. Recently, these medications have become disparaged due to their associations with the controversial medical procedure known as abortion. Abortions, however, have been so common that one out of four women will have had an abortion by the time they reach the age of 45 [1]. It is estimated that 3.7 million women have used mifepristone and misoprostol for medication abortions since they were first approved by the Food and Drug Administration (FDA) in 2000 [1]. Mifepristone followed by misoprostol is up to 14 times safer than carrying the patient’s pregnancy to term [1]. Aside from abortion, mifepristone is used for both gynecologic and obstetric conditions. Obstetric conditions include induction of labor, postpartum hemorrhage, intrauterine fetal demise, ectopic pregnancies, and miscarriages [2]. Gynecological conditions that can be treated with mifepristone include abnormal uterine bleeding, post-coital contraception, and treatment of gynecological cancers [3]. Due to the stigmatized nature of abortion, however, patients are hindered from receiving prompt treatment in clinical scenarios where mifepristone is the drug of choice. It is no exaggeration to emphasize that in cases where reproductive healthcare is concerned, every second counts [3]. Legislation that varies across states further impacts patients who risk their lives and health as they attempt to navigate their care plan across borders. Travel costs, time-off, childcare, transportation, and living accommodations are just a few more of the factors patients must take into consideration when they are forced to seek life-saving care outside of their homes [3]. Mifepristone is a medication that has multiple therapeutic applications, such as treating leiomyomas, psychotic depression, and post-traumatic stress disorder (PTSD). However, its use is restricted in many countries because of its abortifacient effect. This is a logical fallacy that deprives patients of a beneficial and safe treatment option. This systematic review aims to explore the evidence-based uses of mifepristone and how it can improve patients' health outcomes. The clinical indications that will be discussed are adenomyosis, leiomyomas, psychotic depression, PTSD, and Cushing's disease (CD). Review Methods Eligibility Criteria For this systematic review, we included publications of clinical trials and systematic reviews citing clinical trials relating to the clinical use of mifepristone and published in English within the date range of 2000 to 2023. Info Sources Five databases were searched to identify relevant sources. These databases include Google Scholar, MEDLINE with full text through EBSCO, and three National Center for Biotechnology Information (NCBI) databases (NCBI Bookshelf, PubMed, and PubMed Central). Search Strategy For each database, we inputted “clinical use of mifepristone” as our search term. The populated results were then narrowed down to those published in the English language and within the date range of 2000 to 2023 using automated search tools. Selection Process The titles and abstracts of the remaining records were then screened, and those deemed relevant to clinical uses of mifepristone and its efficacy were included for comprehensive review. This initial record search in three of the four databases (Google Scholar, MEDLINE, and PubMed) was completed by three separate reviewers. The initial record search in the remaining two databases (NCBI Bookshelf and PubMed Central) was completed by another individual reviewer. Data Collection Process After the initial record search, 60 records were deemed relevant to the study topic and compiled for a more comprehensive review. Two records were found to be duplicates and removed. Each of the four reviewers read the remaining 58 records and voted on the eligibility of the publication for inclusion in our review. Older publications that were expanded upon in more recent study trials were excluded to reduce redundancy. In addition, for records with similar study protocols, only the more recently published record was included. Ten records were excluded from the review due to ineligible study design. For those records that were not unanimously accepted (at least one reviewer voted for exclusion), the record was excluded. To ensure that the data utilized in this review were backed by sufficient evidence, the reviewers organized the remaining records into groups based on the disease mifepristone was being studied to treat. After further discussion, it was decided to exclude the records in the groups that lacked at least three separate clinical trials on the use of mifepristone in the treatment of the disease. Thirty articles were excluded. Seven of the 18 remaining records were systematic reviews, and citation searching of the records found four additional records that met the eligibility criteria. The remaining 23 records were included for further review. Data Items Of the remaining 23 records deemed acceptable for inclusion, only studies with statistically significant findings regarding the clinical use of mifepristone were included for detailed analysis. One record was excluded due to early termination of the trial. Our records include two open-label studies, four retrospective studies, seven reviews (systematic, meta-analysis), one wet lab (human specimen was used), five long-term safety extension articles, and seven randomized control experimental trials. Study Risk-of-Bias Assessment We assessed the risk of bias (RoB) in the studies included in the review using the revised Cochrane RoB tool for randomized trials (RoB 2). The five domains assessed were (1) RoB arising from the randomization process, (2) RoB due to deviations from the intended interventions (effect of assignment to intervention and effect of adhering to intervention), (3) missing outcome data, (4) RoB in the measurement of the outcome, and (5) RoB in the selection of the reported result. Each randomized control trial included in this review was assessed for RoB by two authors working independently using the RoB 2. For those studies in which the assessing authors came to different conclusions, the remaining two authors completed independent RoB 2 assessments of the study in question, and the majority of findings was accepted. Utilizing the methodology for assigning the overall RoB for each study as outlined by the RoB 2 tool, each study was designated as having “low risk of bias” or “high risk of bias.” After an initial assessment, both authors deemed the nine randomized control studies had a low RoB. Effect Measures Analysis of the studies included a focus on statistically significant findings that varied between control and intervention groups as defined by a p-value less than 0.5. As each study had its own parameters and primary and secondary endpoints, we focused our analysis on the safety and clinical efficacy of mifepristone as measured and reported by the authors of the studies included. Synthesis Methods As previously mentioned, as the studies included in this review vary widely in their study population and intervention design, our analysis focused on qualitative synthesis of study outcomes. These outcomes were categorized as the clinical efficacy and safety of mifepristone for CD, psychiatric disorders, and select gynecological diseases (adenomyosis and leiomyomas). Certainty Assessment To assess the certainty of the body of evidence regarding the studies included in our review, two reviewers applied the five Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) considerations (study limitations, inconsistency of results, indirectness of evidence, imprecision, and publication bias) to each study. Accordingly, the included studies were categorized as having high, moderate, low, or very low certainty of evidence based on the GRADE criteria. After the assessment, both reviewers deemed that all records had high certainty of evidence. Figure 1: PRISMA 2020 flow diagram for new systematic reviews that included searches of databases, registers, and other sources *Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). **If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools. PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses Results Psychiatric Implications Based on the analyses, numerous trials demonstrated the profound therapeutic effect that mifepristone can have on psychiatric disorders. In a double-blind study following 19 patients with bipolar disorder, researchers studied neurocognitive function and mood in patients treated with mifepristone vs. the placebo [4]. Significant improvements in verbal fluency and spatial working memory were seen in the group treated with mifepristone. The Hamilton Depression Rating Scale (HDRS) and Montgomery-Asberg Depression Rating Scale (MADRS) scores also improved from baseline (i.e., lower scores) measurements in these patients. It is worth noting that these improvements were seen in as little as two weeks, which is quicker than what is normally seen with typical therapeutic agents for bipolar disorder (lithium/valproic acid) [4]. The most extensive research demonstrated the benefits of using mifepristone with major or psychotic depression [5]. It is important to note that approximately 20% of patients living with major depression experience psychotic symptoms [6]. A randomized, double-blind study looked at 30 participants with psychotic major depression (PMD) and treated them with mifepristone 600 mg or a placebo for eight days. Using the HDRS and Brief Psychiatric Rating Scale (BPRS) to quantify baseline levels of symptoms, results from eight days later showed that mifepristone was significantly more effective in reducing psychotic symptoms compared to the placebo group [6]. By day 8, nearly half of the participants attained a 50% reduction in the BPRS compared to the placebo group (p<0.046) in addition to lower HDRS scores (although this was not found to be significant). Moreover, when researchers looked further into the use of mifepristone in psychotic depression disorders, they discovered a correlation between higher plasma levels of mifepristone and a reduction in psychotic symptoms [7]. More specifically, the strongest reduction in psychosis symptoms was found to be associated with doses of 1200 mg/day of mifepristone, which resulted in a statistically significant reduction in psychotic symptoms (p<0.0004) [7]. The drug was also well tolerated and demonstrated a large safety margin in contrast to the numerous common adverse effects that patients experience when placed on standard treatment options (i.e., antipsychotics). In another double-blind, placebo-controlled study that took place over four days, five participants diagnosed with psychotic major depression were administered 600 mg of mifepristone [5]. The HDRS and BPRS scores were used, and the results showed that all five participants' depression ratings decreased - a nearly statistically significant finding (p<.07) [5]. Likewise, four out of the five BPRS scores declined, approximating to a 32.5% decline, which is comparable to the 40% decline seen with traditional antipsychotic treatments that span six to eight weeks. Once again, no adverse effects were reported. The use of mifepristone has been explored in many cognitive disorders, including Alzheimer's disease. One study found that patients with mild to moderate Alzheimer’s disease displayed improvement on the Alzheimer’s disease assessment cognitive subtest - by 2.67 as opposed to the 1.67 decline in patients treated with a placebo [5]. Although not statistically significant, this finding encourages further studies to continue exploring the psychiatric and neurologic use of mifepristone. Cushing’s Disease Multiple trials have been conducted regarding the use and efficacy of mifepristone in the treatment of CD. Although surgical intervention to remove the source of excess cortisol production is the current mainstay of treatment, clinical trials have focused on the treatment with mifepristone for medical therapy, especially in patients who have failed surgical intervention or for those who are not good candidates for surgery. Accordingly, a retrospective study of 20 patients with hypercortisolism (12 with adrenocortical carcinoma, three with ectopic adrenocorticotropic hormone (ACTH) secretion, four with CD, and one with bilateral adrenal hyperplasia) found clinically significant improvement in excess cortisol-induced symptoms in 15 out of 20 patients [4]. Patient responses to mifepristone treatment were monitored by clinical signs of hypercortisolism (signs of hypercortisolism, blood pressure measurements, and signs of adrenal insufficiency) and serum potassium and glucose. The study found that 15 out of 20 patients showed significant clinical improvement in excess cortisol-induced symptoms. Psychiatric symptoms and blood glucose levels also improved in the patients [4]. Of note, 11 out of 20 trial participants exhibited moderate to severe hypokalemia as a side effect, although only one patient had to leave the study early due to severe adverse effects [4]. In another well-known study, 50 patients were assessed at baseline and during intervention (total of six times) for 24 weeks, referred to as the SEISMIC study [8]. Changes in oral glucose tolerance tests over time were used to assess the mifepristone effect in type 2 diabetes millets (T2DM)/impaired glucose tolerance patients. Changes in diastolic blood pressure (BP) over time were used to measure the effect of mifepristone in hypertensive cardiogenic shock (CS) patients [8]. Results found a statistically significant improvement in symptoms in both groups: diabetic patients had improvement in response to oral glucose test, decreased A1C, and decreased fasting glucose, and hypertensive patients had decreased diastolic BP or reduction in antihypertensive medications [8]. In addition, the waist circumference and hemoglobin A1C (HbA1C) also improved, and study findings concluded that mifepristone use has an acceptable risk-benefit ratio for six months of treatment [8]. Several extension studies were later performed utilizing the data found during the SEISMIC study [9]. One such study assessing weight loss in patients who participated in the SEISMIC study also found statistically significant improvement in patients with CD. After one-week mifepristone period (patients who chose to participate in this follow-up study had to be assessed to ensure it was safe for them to enroll in this study), 30 patients were enrolled and started on once daily mifepristone at the dose they were taking when the SEISMIC study concluded [9]. The patient's weight was assessed at baseline and week 24 of the SEISMIC study, and for this study, the follow-up weight was taken at months 6, 12, 18, and 24 and a final visit. Data were assessed for 29 of the participants and statistically significant decreases in weight were found for all participants from baseline to end of the SEISMIC study, and the maintenance of weight loss was statistically significant in all participants at their final visit to this study as well [9]. Another SEISMIC extension study focused on monitoring the effects of mifepristone treatment in CD on ACTH levels and pituitary MRI findings [10]. Serum ACTH, urinary, and salivary cortisol levels were monitored during the SEISMIC study (baseline, day 14, and weeks 6, 10, 16, and 24) and once after a six-week mifepristone-free "washout" period. ACTH levels were then monitored one month later and then routinely every three months during the intervention period, which varied per participant [10]. Serum cortisol measures were assessed during the SEISMIC study at the intervals mentioned previously and then every six months during the extension study. Pituitary MRI studies were taken prior to mifepristone administration during the SEISMIC study and at weeks 10 and 24 [10]. Repeat imaging was then taken every six months during the extension study. On average, ACTH levels increased greater than twofold (2.76 ± 1.65-fold over baseline; p<0.0001 vs. baseline) in patients during the SEISMIC and extension study periods and decreased to near baseline levels after six weeks of mifepristone discontinuation [10]. Serum cortisol levels in both the initial intervention and extension period increased as well, although a higher mean cortisol level was seen during the extension study intervention (SEISMIC: 1.97 ± 1.02-fold increase; p<0.0001 vs. baseline; extension study: 2.85 ± 1.05-fold increase; p<0.0001 vs. baseline) [10]. In comparing the baseline and post-intervention MRI images, 30 out of 36 patients showed no progression in pituitary tumor size with mifepristone intervention, two patients showed regression of tumor size, and three patients showed evidence of tumor progression. One patient was found to have a tumor post-intervention despite a negative initial MRI at baseline [10]. A retrospective analysis of data collected during the SEISMIC study utilized oral glucose tolerance test data to assess the mifepristone treatment effect on the total body insulin sensitivity, beta cell function, weight, waist circumference, and additional parameters [11]. The analysis found improved total body insulin sensitivity in all participants, with the greatest improvement occurring from baseline to week 6. The weight and waist circumference both decreased by week 24 [11]. An additional important six-month study was done on 46 patients with refractory CS and either DM2, impaired glucose tolerance, or diagnosis of HTN in which mifepristone treatment was administered daily [12]. Patients were examined by three separate reviewers using global clinical response assessments (-1 = worsening, 0 = no change, 1 = improving) measured by eight clinical categories: glucose control, lipids, blood pressure, body composition, clinical appearance, strength, psychiatric/cognitive symptoms, and quality of life at weeks 6, 10, 16, and 24. A positive correlation with increasing GCR scores was found by week 24, with 88% of participants showing statistically significant improvement (p<0.001) [12]. Adenomyosis/Leiomyoma Adenomyosis and leiomyomas are common gynecological conditions that affect large portions of the female population. Multiple trials have proven mifepristone’s success in treating endometriosis and various forms of cancer. Current data shows that mifepristone is well tolerated and has mild side effects in certain long-term clinical settings. In one trial following mifepristone and its effects on adenomyosis, 20 patients were treated with 5 mg oral mifepristone/day for three months [13]. After the three-month trial, patients demonstrated a statistically significant (p<0.001) reduction in uterine volume as was measured through transvaginal ultrasound. These patients were also found to have significantly decreased CA-125 markers (a marker of adenomyosis and an increase in uterine size) and significantly increased hemoglobin concentration The patient’s endometrial tissue was then obtained from each patient during their hysterectomy [13]. The endometrial tissue samples were treated with varying concentrations of mifepristone for 48 hours. They found that mifepristone significantly decreased the viability of endometrial epithelial and stromal cells in adenomyosis and can induce their apoptosis as well [13]. This concentration-dependent inhibitory effect was most significantly seen with concentrations of mifepristone above 50 μmol/L at 48 hours. The same study showed that mifepristone demonstrated another dose-dependent relationship in the inhibition of the migration of ectopic endometrial and stromal cells. This finding is significant as the migratory nature of the patient’s endometrial and stromal cells is the pathogenesis behind adenomyosis [13]. Another study looked at the effect of mifepristone in combination with high-intensity focused ultrasound (HIFU) and levonorgestrel-releasing intrauterine system (LNG-IUS) in the treatment of adenomyosis [13]. Out of 123 patients, 34 patients were treated with HIFU alone, 29 patients were treated with HIFU combined with mifepristone, 10 patients with HIFU combined with LNG-IUS, and 50 patients with HIFU combined with mifepristone and LNG-IUS [13]. In the group treated with HIFU combined with mifepristone and LNG-IUS, the uterine volume was significantly reduced after treatment at 3, 6, 12, and 24 months compared to the previous treatment (p<0.05). Dysmenorrhea was measured using a visual analog score (VAS). In the combination group of mifepristone, HIFU, and LNG-IUS, VAS scores decreased from 80.82 ± 12.49 to 29.58 ± 9.29 at 24 months [13]. This was significantly lower than the three other treatment groups (p<0.05). The combination group of mifepristone, HIFU, and LNG-IUS also demonstrated statistically significant decreases in the menstrual volume and CA-125 serum markers [13]. Hemoglobin levels were not statistically different among the four treatment groups, but it is postulated that this could have been due to the fact that the patients who were anemic had been treated with different medications to improve their Hb aside from the trial medications [13]. Uterine leiomyomas are another gynecological condition that has been found to improve with the use of mifepristone as well. Insulin-like growth factor 1 (IGF-1) has been found to be overexpressed in leiomyomas [14]. This study showed that mifepristone inhibited the gene expression of IGF-1, and the reduction in symptoms correlated with a decrease in IGF-1 expression although the mechanism is not fully understood [14]. A meta-analysis studied the effects of mifepristone on uterine and leiomyoma volumes of 780 women from 11 randomized controlled trials. Mifepristone at doses from 2.5, 5, and 10 mg was found to effectively reduce uterine and leiomyoma volumes and alleviate leiomyoma symptoms at six months [6]. Pelvic pain, pelvic pressure, and dysmenorrhea were found to be alleviated after three months of treatment. Mifepristone also decreased the mean loss of blood during menstruation and a statistically significant increase in hemoglobin. No significant difference was found among varying dosages of 2.5, 5, and 10 mg other than increased frequency of hot flashes in patients of the 10 mg group. Another review investigated six clinical trials involving 166 women and the effects of 5-50 mg mifepristone for three to six months on leiomyomas [3]. The review demonstrated that daily treatment with all doses of mifepristone resulted in reductions in pelvic pain, pelvic pressure, dysmenorrhea, and uterine and leiomyoma volume size by 26-74%. Even doses of 2.5 mg of mifepristone resulted in significant improvement in the quality of life scores although there was little reduction in leiomyoma size at this dose [3]. This review also reported the rapid correction of uterine bleeding, amenorrhea, and increases in hemoglobin levels following treatment with 50 mg of mifepristone on alternating days. Even vaginal mifepristone has demonstrated efficacious results in the improvement of leiomyomas. In one such trial, the effects of daily 10 mg vaginal mifepristone were studied in 33 women from the ages of 30-53 [15]. Vaginal mifepristone significantly reduced leiomyoma volume and reduced the effects of symptoms on the patient’s quality of life as measured by the Uterine-Fibroid Symptoms Quality of Life questionnaire (UFS-QoL). It is important to note that the only significant side effect found in this review of trials was hot flashes at doses of mifepristone at 10 mg or more. Mifepristone was otherwise generally well tolerated with minimal if any adverse effects [15]. Discussion Adenomyosis is a gynecologic condition that is characterized by the growth of endometrial cells into the myometrium, resulting in a globally enlarged uterus and an associated increase in CA-125 [16]. This marker is classically known to be an ovarian tumor marker; however, in this class, it reflects the increase in uterine glandular size. Although it is often labeled as a “benign” disease, it affects around 20% of reproductive-aged women. This condition can lead to dysmenorrhea, infertility, and menorrhagia in addition to detrimental effects on a patient’s mental health [16]. Despite 20% of affected patients being under the age of 40, the gold standard of treatment is a hysterectomy. Hysterectomies may often not be wanted by patients as it is an invasive surgery that comes with several potential complications of its own. It is important to note that due to the large percentage of patients with adenomyosis who are of reproductive age, hysterectomies may not be an appropriate standard method of treatment. To rob patients of their fertility without attempting medication therapy with mifepristone first is an act of injustice. Surgery alone comes with many complications and the possibility of recurrence. The ability of physicians to manage their patient’s pain and symptoms should be guided medically before surgical sterilization is considered. Many of these patients are forced to seek alternative non-invasive treatments instead of medication therapies to preserve their fertility. HIFU and LNG-IUS are noninvasive therapies for adenomyosis that can be used in patients who refuse hysterectomies or for those who are not good candidates [16]. The pitfalls of these procedures include the fact that 20% of patients on HIFU alone end up relapsing, and LNG-IUS cannot be used in patients with a uterine size that is >12 weeks gestation or a uterine cavity depth that is >9 cm. Because adenomyosis is an estrogen-dependent disease, gonadotropin-releasing hormone agonists (GnRH-a) are also often used in combination with HIFU and LNG-US. Through the inhibition of the secretion of estrogen, GnRH-as facilitate reduced pelvic pain, reduced bleeding, and reduced uterine cavity size [16]. Reduction in cavity size is significant as this alone can lead to improved pain and reduced bleeding and allows patients to qualify for LNG-US where their previous uterine cavity size would have prevented their candidacy. Its current limitations include price (>$200/month), induction of premenopausal syndrome, and high rates of relapse following drug cessation [16]. Mifepristone offers a cheaper alternative (<$4/month) with significantly improved outcomes in reduced uterine cavity size, decreased dysmenorrhea pain scale score, and lower menstruation volume scores [16]. Mifepristone is also able to provide such results without the bone loss that is commonly associated with GnRH-analogs [3]. This is because mifepristone allows for serum estradiol to remain within the patient’s physiologic follicular phase range [3]. In addition, mifepristone is able to significantly reduce serum levels of CA-125 and improve hemoglobin levels in patients with menorrhagia. These reductions in CA-125 demonstrate marked reductions in the size of glands of the uterus of these patients. Through the reduction of cavity size, mifepristone can not only offer therapeutic relief but also allow patients to qualify for noninvasive LNG-US procedures, which can offer further therapeutic benefits. Patients should have the option to explore all potential medical therapies before opting for surgical correction. Leiomyomas, or uterine fibroids, are another commonly encountered gynecologic condition and represent the most common benign tumors found in the female population. These benign smooth muscle tumors are estrogen-sensitive and can rarely develop into malignant leiomyosarcomas. Nearly 20-50% of patients with these fibroids experience symptoms, such as abnormal uterine bleeding (AUB), infertility, pelvic pain, and miscarriages [17]. Currently, the only treatment for this common condition is surgery. Two medications that are commonly used for preoperative reductions in leiomyoma size are mifepristone and enantone. Enantone is a gonadotropin-releasing hormone analog that has shown significant improvement in leiomyoma shrinkage, correction of anemia, and correction of AUB [17]. Through its MOA, however, enantone can lead to harmful adverse effects, such as menopausal symptoms and bone mineral loss. Using hormone supplementation to negate these side effects leads to reduced effectiveness of enantone in fibroid size reduction. Several studies have shown that progesterone plays a large role in the proliferation of leiomyoma growth [17]. Mifepristone, therefore, offers an effective alternate solution by producing the same results without enantone’s adverse effects. When comparing enantone to mifepristone, the two medications both resulted in statistically significant reductions in fibroid size, reduction in dysmenorrhea, reduction in non-menstrual abdominal pain, and increased Hgb/Hct/and RBC count despite differences in dosage [17]. However, mifepristone was able to maintain the patients’ premenopausal levels of estrogen, whereas patients on enantone were found to have estrogen levels of menopausal patients. Furthermore, patients who were treated with enantone also reported more adverse events compared to those in the mifepristone group [17]. Vaginal use of mifepristone has also been shown to significantly reduce leiomyoma size and improve symptoms of anemia while lowering systemic bioavailability of mifepristone [15]. Through its concentrated distribution to uterine tissue, vaginal mifepristone can lead to increased improvement in its clinical outcomes. Vaginal mifepristone showed statistically significant improvements in leiomyoma volume change, USF-QoL, and decreased bleeding intensity at the end of the three-month trial and three months after treatment [15]. For these reasons, mifepristone can be used effectively for conservative therapy in patients suffering from leiomyomas and should be considered a viable option for patients not wishing to undergo surgery. CD refers to hypercortisolism that is caused by pituitary adenomas, adrenal neoplasias, or paraneoplastic ACTH secretion. Hypercortisolism in these patients leads to the development of skin changes, HTN, obesity, insulin resistance, dyslipidemia, anovulation, skeletal disorders, and neuropsychiatric disorders [18]. Patients suffering from these conditions endure a severely decreased quality of life and increased morbidity and mortality. The syndromic nature of this disease prompts delayed diagnosis and further increases the mortality and morbidity of this population [18]. CS therefore necessitates effective and rapid treatment options to diminish harm and clinical burden. The current first-line treatment for CD is pituitary surgery despite its nearly ⅓ relapse rate within 10 years postoperatively [18]. In these patients and patients with recurrent CD, further treatment options are necessitated. These options include adrenal surgery, pituitary radiotherapy, or medication therapy. Radiotherapy further delays symptomatic relief as it usually takes years before excess cortisol levels are managed. It also carries the risk of the patient developing hypopituitarism due to subsequent pituitary damage [18]. While surgery of the adrenal glands can quickly achieve control of excess cortisol, it also carries a risk of permanent adrenal insufficiency. Medication therapy can be used preoperatively, postoperatively, and as adjunctive therapy to radiotherapy. These drug classes include somatostatin analogs, dopamine agonists, and adrenal steroidogenesis inhibitors [18]. The most commonly used medication is the adrenal steroidogenesis inhibitor ketoconazole. While it has been proven to be effective and rapid in its success, doses may need to be frequently increased due to the cortisol blockade that occurs in CD patients [8]. In fact, due to the hormonal imbalances in CD patients, many medications often have to be dose adjusted to achieve therapeutic effect. It is also important to note that many of the medications that are used are not easily tolerated when doses are increased or adjusted frequently. The use of mifepristone has demonstrated statistically significant results in weight reduction, insulin resistance, depression, HTN, and quality of life in CD patients [10]. Furthermore, mifepristone can also be used effectively in patients experiencing cortisol-induced psychosis during acute exacerbations of hypercortisolism. While not included in the classes of more commonly used drugs for CD, mifepristone has been approved by the FDA for the treatment of CD when associated with disorders of glucose metabolism. This is undoubtedly due to the stigmatization of mifepristone and the subsequent reluctance of clinicians to incorporate it into their treatment plans. Neuropsychiatric disorders have been investigated for their associations with dysregulations of the hypothalamic-pituitary-adrenal axis (HPA) and increases in cortisol levels. Studies have shown that patients suffering from depression, schizophrenia, and psychotic depression have elevated levels of cortisol and increased activity of their HPA [19]. The role of cortisol in psychiatric disorders is evidenced by the adverse psychiatric effects that patients can develop in response to exogenous glucocorticoid use through subsequent increases in cortisol. These include delirium, depression, mania, or psychosis. When functioning normally, HPA activity and cortisol secretion are maintained through sensitive negative feedback systems involving glucocorticoid receptors (GCRs) and mineralocorticoid receptors (MCR) [19]. At low doses, cortisol preferentially binds to MCR. As cortisol levels rise, it begins to bind to GCR and thereby initiates the negative feedback loop. Antipsychotics that are typically used work by reducing cortisol levels. Mifepristone, when dosed at >200 mg/day, selectively binds only to GCR and has no effect on MCR [19]. Through its sole inhibition of GCR, it ensures that normal cortisol homeostasis is maintained while ensuring that excess high levels of cortisol are blocked. This was evidenced by the statistically significant correlation between rising plasma concentrations of mifepristone and improvement of psychotic symptoms [20]. The hippocampus is a region of the temporal lobe that is most notably recognized for its role in learning and memory. Further studies have shown correlations between hippocampal atrophy and patients with severe depression, PTSD, and schizophrenia. It is postulated that this hippocampal atrophy leads to persistently high levels of cortisol, worsening these patient’s psychiatric symptoms. Administration of mifepristone to patients with combat-related PTSD demonstrated significant benefits in quality of life and psychiatric improvement. Psychotic major depression is another psychiatric condition that affects around 20% of patients with major depression [7]. When mifepristone was used to treat psychotic depression, patients were able to achieve rapid antipsychotic effects that lasted for weeks after the medication therapy ended. It should be noted that patients suffering from PMD generally have increased cortisol levels even with standard antidepressant therapy alone [7]. Some patients are even unresponsive to electroconvulsive therapy. The ability of patients suffering from psychotic depression to achieve rapid relief is imperative as these patients are more susceptible to suicidal ideation, especially during an episode of psychosis [7]. Bipolar disorder is another mood disorder that has been found to be associated with high levels of cortisol, dysfunction of the HPA axis, and GR dysfunction. Several neuroendocrine studies demonstrated that around 43% of bipolar patients with depression were also dexamethasone-suppression-test (DST) nonsuppressors [7]. Further studies found that bipolar patients suffering through relapse and recovery had abnormal dexamethasone/corticotropin-releasing hormone (dex/CRH) test results [21]. These abnormal (dex/CRH) findings were also seen in healthy patients who had certain genetic predispositions for mood disorders [21]. Regarding these HPA dysfunctions, GR has been implicated in being an important modulator of neurocognitive function and mood. This can be evidenced through research findings that report increased GR number and GR binding in brain tissue following the administration of antidepressants in depressed patients [21]. Mifepristone’s unique advantage is that its selective role as a GR antagonist was also found to increase both MR and GR binding in the frontal cortex. In fact, data from Young et al. [21] reveals significant improvement in frontal cortex functioning following clinical mifepristone trials. These results were seen through improvements in spatial working memory function and reductions in the HDRS17 and MADRS. They also demonstrated significant improvement in verbal fluency from baseline. These improvements in neurocognitive functioning were measured when the subjects’ mood was similar to their baseline or did not vary when compared to the placebo group [21]. This key finding suggests that improvements in neurocognitive functioning were not solely related to improvements in mood or depression. Mifepristone achieves these improvements in neurocognitive function through its selective activity towards GR within the frontal cortex. Furthermore, patients are also able to achieve symptomatic improvement two weeks after the initiation of treatment [21]. The rapid nature of mifepristone adds further clinical benefit as classic bipolar treatments take longer to achieve therapy and the fact that treatment plans for patients with bipolar disorder are tricky to individualize. Other commonly known psychiatric disorders are treated with antipsychotics. While these medications often come with a large array of adverse effects, weight gain, metabolic derangements, and glucose intolerance have been a few of the more frequently reported negative effects. While the exact cause of the weight gain is unknown, mifepristone was shown to significantly reduce weight gain in patients when taken alongside risperidone or olanzapine [21]. As discussed previously, mifepristone also has the ability to significantly improve insulin resistance, thereby further improving the AE patients may experience on antipsychotics. Therefore, through mifepristone’s selective activity as a GCR antagonist, it has immense potential as a psychiatric therapeutic agent. Conclusions Mifepristone is a synthetic steroid that has immense potential to provide symptomatic relief in patients suffering from a wide array of complicated diseases. Prednisone, dexamethasone, and anabolic steroids are also synthetic steroids that are commonly used. Despite being a part of the same class as mifepristone, none of these medications fall under as much legal, political, and social duress as mifepristone. This is in spite of the fact that mifepristone has been proven to have an incredible safety profile since its introduction to the public in the 1980s. In fact, its mortality rate is significantly lower than that of Tylenol, NSAIDs, penicillin, and phosphodiesterase inhibitors. While further research is certainly needed, its involvement in politics has unfortunately led to the willful ignorance of its medical potential despite its evidence-based safety profile and efficacy. References Beaman J, Prifti C, Schwarz EB, Sobota M: Medication to manage abortion and miscarriage. J Gen Intern Med. 2020, 35:2398-405. 10.1007/s11606-020-05836-9 Hagey JM, Givens M, Bryant AG: Clinical update on uses for Mifepristone in obstetrics and gynecology. Obstet Gynecol Surv. 2022, 77:611-23. 10.1097/OGX.0000000000001063 Spitz IM: Mifepristone: where do we come from and where are we going? Clinical development over a quarter of a century. Contraception. 2010, 82:442-52. 10.1016/j.contraception.2009.12.012 Castinetti F, Fassnacht M, Johanssen S, et al.: Merits and pitfalls of mifepristone in Cushing's syndrome. Eur J Endocrinol. 2009, 160:1003-10. 10.1530/EJE-09-0098 Belanoff JK, Flores BH, Kalezhan M, et al.: Rapid reversal of psychotic depression using mifepristone. J Clin Psychopharmacol. 2001, 21:516-21. Eisinger SH, Meldrum S, Fiscella K, et al.: Low-dose mifepristone for uterine leiomyomata. Obstet Gynecol. 2003, 101:243-50. 10.1016/S0029-7844(02)02511-5 Flores BH, Kenna H, Keller J, Solvason HB, Schatzberg AF: Clinical and biological effects of mifepristone treatment for psychotic depression. Neuropsychopharmacology. 2006, 31:628-36. 10.1038/sj.npp.1300884 Fleseriu M, Biller BM, Findling JW, Molitch ME, Schteingart DE, Gross 😄 Mifepristone, a glucocorticoid receptor antagonist, produces clinical and metabolic benefits in patients with Cushing's syndrome. J Clin Endocrinol Metab. 2012, 97:2039-49. 10.1210/jc.2011-3350 Fein HG, Vaughan TB 3rd, Kushner H, Cram D, Nguyen 😧 Sustained weight loss in patients treated with mifepristone for Cushing's syndrome: a follow-up analysis of the SEISMIC study and long-term extension. BMC Endocr Disord. 2015, 15:63. 10.1186/s12902-015-0059-5 Fleseriu M, Findling JW, Koch CA, Schlaffer SM, Buchfelder M, Gross 😄 Changes in plasma ACTH levels and corticotroph tumor size in patients with Cushing's disease during long-term treatment with the glucocorticoid receptor antagonist mifepristone. J Clin Endocrinol Metab. 2014, 99:3718-27. 10.1210/jc.2014-1843 Wallia A, Colleran K, Purnell JQ, Gross C, Molitch ME: Improvement in insulin sensitivity during mifepristone treatment of Cushing syndrome: early and late effects. Diabetes Care. 2013, 36:e147-8. 10.2337/dc13-0246 Katznelson L, Loriaux DL, Feldman D, Braunstein GD, Schteingart DE, Gross 😄 Global clinical response in Cushing's syndrome patients treated with mifepristone. Clin Endocrinol (Oxf). 2014, 80:562-9. 10.1111/cen.12332 Che X, Wang J, He J, et al.: A new trick for an old dog: the application of mifepristone in the treatment of adenomyosis. J Cell Mol Med. 2020, 24:1724-37. 10.1111/jcmm.14866 Shen Q, Zou S, Sheng B, et al.: Mifepristone inhibits IGF-1 signaling pathway in the treatment of uterine leiomyomas. Drug Des Devel Ther. 2019, 14:3161-70. Yerushalmi GM, Gilboa Y, Jakobson-Setton A, Tadir Y, Goldchmit C, Katz D, Seidman DS: Vaginal mifepristone for the treatment of symptomatic uterine leiomyomata: an open-label study. Fertil Steril. 2014, 101:496-500. 10.1016/j.fertnstert.2013.10.015 Zhu H, Ma Q, Dong G, Yang L, Li Y, Song S, Mu Y: Clinical evaluation of high-intensity focused ultrasound ablation combined with mifepristone and levonorgestrel-releasing intrauterine system to treat symptomatic adenomyosis. Int J Hyperthermia. 2023, 40:10.1080/02656736.2022.2161641 Liu C, Lu Q, Qu H, et al.: Different dosages of mifepristone versus enantone to treat uterine fibroids: a multicenter randomized controlled trial. Medicine (Baltimore). 2017, 96:e6124. 10.1097/MD.0000000000006124 Pivonello R, De Leo M, Cozzolino A, Colao A: The treatment of Cushing's disease. Endocr Rev. 2015, 36:385-486. 10.1210/er.2013-1048 Hartmann J, Bajaj T, Klengel C, et al.: Mineralocorticoid receptors dampen glucocorticoid receptor sensitivity to stress via regulation of FKBP5. Cell Rep. 2021, 35:109185. 10.1016/j.celrep.2021.109185 Block TS, Kushner H, Kalin N, Nelson C, Belanoff J, Schatzberg A: Combined analysis of mifepristone for psychotic depression: plasma levels associated with clinical response. Biol Psychiatry. 2018, 84:46-54. 10.1016/j.biopsych.2018.01.008 Young AH, Gallagher P, Watson S, Del-Estal D, Owen BM, Ferrier IN: Improvements in neurocognitive function and mood following adjunctive treatment with mifepristone (RU-486) in bipolar disorder. Neuropsychopharmacology. 2004, 29:1538-45. 10.1038/sj.npp.1300471 From https://www.cureus.com/articles/191397-multiple-clinical-indications-of-mifepristone-a-systematic-review#!/

Abstract Objective Since Cushing's disease (CD) is less common in the paediatric age group than in adults, data on this subject are relatively limited in children. Herein, we aim to share the clinical, diagnostic and therapeutic features of paediatric CD cases. Design National, multicenter and retrospective study. Patients All centres were asked to complete a form including questions regarding initial complaints, physical examination findings, diagnostic tests, treatment modalities and follow-up data of the children with CD between December 2015 and March 2017. Measurements Diagnostic tests of CD and tumour size. Results Thirty-four patients (M:F = 16:18) from 15 tertiary centres were enrolled. The most frequent complaint and physical examination finding were rapid weight gain, and round face with plethora, respectively. Late-night serum cortisol level was the most sensitive test for the diagnosis of hypercortisolism and morning adrenocorticotropic hormone (ACTH) level to demonstrate the pituitary origin (100% and 96.8%, respectively). Adenoma was detected on magnetic resonance imaging (MRI) in 70.5% of the patients. Transsphenoidal adenomectomy (TSA) was the most preferred treatment (78.1%). At follow-up, 6 (24%) of the patients who underwent TSA were reoperated due to recurrence or surgical failure. Conclusions Herein, national data of the clinical experience on paediatric CD have been presented. Our findings highlight that presenting complaints may be subtle in children, the sensitivities of the diagnostic tests are very variable and require a careful interpretation, and MRI fails to detect adenoma in approximately one-third of cases. Finally, clinicians should be aware of the recurrence of the disease during the follow-up after surgery. From https://onlinelibrary.wiley.com/doi/10.1111/cen.14980

Abstract Cushing’s syndrome is a condition leading to overproducing of cortisol by the adrenal glands. If the pituitary gland overproduces cortisol, it is called Cushing’s disease. Cushing’s syndrome and even Cushing’s disease during and after pregnancy are rare events. There is not enough literature and guidance for managing and treating these patients. The diagnosis of Cushing’s syndrome in pregnancy is often delayed because the symptoms overlap. We presented a thin 31-year-old woman, admitted 2 months after a normal-term delivery, with an atypical presentation of Cushing’s disease, unusual clinical features, and a challenging clinical course. She had no clinical discriminatory features of Cushing’s syndrome. Given that the patient only presented with psychosis and proximal myopathy and had an uncomplicated pregnancy, our case was considered unusual. The patients also had hyperpigmentation and severe muscle weakness which are among the less common presentations of Cushing’s syndrome. Our findings suggest that an early diagnosis of Cushing’s disease is important in pregnancy period for its prevalent fetal and maternal complications, and it should be treated early to optimize fetal and maternal outcomes as there is an increasing trend toward live births in treated participants. Introduction Cushing’s syndrome is a condition that originates from excessive production of glucocorticoids. The condition is most common in women of childbearing age and is characterized by altered distribution of the adipose tissue to the central and upper regions of the trunk (central obesity and buffalo hump), face (moon face), capillary wall integrity (easy bruising), hyperglycemia, hypertension, mental status changes and psychiatric symptoms, muscle weakness, signs associated with hyperandrogenism (acne and hirsutism), and violaceous striae among other signs. Hypercortisolism and hyperandrogenism suppress the production of the pituitary gonadotropins, which in turn leads to menstrual irregularities and infertility.1-3 Moreover, the main common cause of developing Cushing’s syndrome is the use of exogenic steroid.3 Cushing’s disease is a form of Cushing’s syndrome with overproduction of adrenocorticotropic hormone (ACTH) due to pituitary adenoma. The diagnosis is made using clinical features and paraclinical tests including urinary free cortisol (UFC), serum ACTH, dexamethasone suppression tests (DSTs), pituitary magnetic resonance imaging (MRI), and sometimes by inferior petrosal sinus sampling (IPSS).4 Although women with Cushing’s disease are less likely to become pregnant, timely diagnosis and appropriate management are especially important during possible pregnancy, preventing neonatal and maternal complications and death. The diagnosis is challenging due to the overlap of the disease symptoms with the changes associated with a normal pregnancy. Moreover, the hormonal milieu during pregnancy has recently been proposed as a potential trigger for Cushing’s disease in some cases; hence, the term “pregnancy-associated Cushing’s disease” has been used for the disease in the recent literature. In this study, we presented a thin 31-year-old woman who was referred to our clinic 2 months after a normal delivery, with an atypical presentation of Cushing’s disease, unusual clinical features, and a challenging clinical course. Case Presentation Our patient was a 31-year-old woman who presented 2 months after the delivery of her second child. She had a history of type 2 diabetes mellitus and hypertension in the past 2 years prior to her presentation. She had been admitted to another center following an episode of falling and muscle weakness. Two weeks later, she was admitted to our center with an impression of pulmonary thromboembolism due to tachypnea, tachycardia, and dyspnea. During follow-up, she was found to have leukocytosis, hyperglycemia (random blood sugar: 415 mg/d; normal level: up to 180 mg/dL) and hypokalemic metabolic alkalosis (PH: 7.5, HCO3 [bicarbonate]: 44.7 mEq/L, paO2 [partial pressure of oxygen]: 73 mm Hg, pCO2: 51.7 mm Hg, potassium: 2.7 mEq/L [normal range: 3.5-5.1 mEq/L]), which was refractory to the treatment; therefore, an endocrinology consultation was first requested. On physical examination, the patient was agitated, confused, and psychotic. Her vital signs were: blood pressure 155/100 mm Hg, heart rate: 130 bpm, and respiratory rate: 22 bpm, temperature: 39°C. As it has shown in Figure 1A, her face is not typical for moon face of Cushing’s syndrome, but facial hirsutism (Figure 1A) and generalized hyperpigmentation is obvious (Figure 1A-C). She was a thin lady and had a normal weight and distribution of adiposity (Body Mass Index [BMI] = 16.4 kg/m2; weight: 40 kg, and height: 156 cm). Aside from thinness of skin, she did not have the cutaneous features of Cushing’s syndrome (e.g. purpura, acne, and violaceous striae) and did not have supraclavicular and dorsocervical fat pad (buffalo hump), or plethora. In other words, she had no clinical discriminatory features of Cushing’s syndrome despite the high levels of cortisol, as confirmed by severely elevated UFC (5000 μg/24 h and 8000 μg/24 h; normal level: 4-40 μg/24 h). In addition, as will be mentioned later, the patient had axonal neuropathy which is a very rare finding in Cushing’s syndrome. Figure 1. Clinical finding of our case with Cushing’s disease. (A) Hirsutism, (B) muscle atrophy seen in proximal portion of lower limbs, and (C) hyperpigmentation specially on the skin of the abdominal region. OPEN IN VIEWER She had a markedly diminished proximal muscle force of 1 out of 5 across all extremities; the rest of the physical examinations revealed no significant abnormalities (Figure 1B). On the contrary, based on her muscle weakness, hirsutism, psychosis and hyperpigmentation and refractory hypokalemic alkalosis, hyperglycemia, and hypertension, Cushing’s syndrome was suspected; therefore, 24-hour UFC level was checked that the results showed a severely elevated urinary cortisol (5000 μg/24 h and 8000 μg/24 h; normal level: 4-40 μg/24 h). Serum ACTH level was also inappropriately elevated (45 pg/mL; normal range: 10-60 pg/mL). High-dose dexamethasone failed to suppress plasma cortisol level and 24-hour urine cortisol level. A subsequent pituitary MRI showed an 8-mm pituitary mass, making a diagnosis of Cushing’s disease more probable. Meanwhile, the patient was suffering from severe muscle weakness that did not improve after the correction of hypokalemia. Then, a neurology consultation was requested. The neurology team evaluated laboratory data as well as EMG (Electromyography) and NCV (Nerve Conduction Velocity) of the patient, and based on their findings, “axonal neuropathy” was diagnosed for her weakness; so they ruled out the other neuromuscular diseases. A 5-day course of intravenous immunoglobulin (IVIG) was started for her neuropathy; however, the treatment did not improve her symptoms and the patient developed fungal sepsis and septic shock. Therefore, she was processed with broad-spectrum antibiotics and antifungal agents and recovered from the infection. Mitotane was started for the patient before definitive surgical treatment to suppress hormonal production due to her poor general condition. Despite the 8-mm size of the pituitary mass which is likely to be a source of ACTH, our patient was underweight and showed the atypical clinical presentation of Cushing’s disease, making us suspect an ectopic source for the ACTH. Therefore, a Gallium dotatate scan was performed to find any probable ectopic sources; however, the results were unremarkable. The patient underwent Trans-Sphenoidal Surgery (TSS) to resect the pituitary adenoma because it was not possible to perform IPSS in our center. Finally, the patient’s condition including electrolyte imbalance, muscle weakness, blood pressure, and hyperglycemia started to improve significantly. The pathologist confirmed the diagnosis of a corticotropic adenoma. Nevertheless, the patient suddenly died while having her meal a week after her surgery; most likely due to a thromboembolic event causing a cardiac accident. Discussion Our patient was significantly different from other patients with Cushing’s disease because of her atypical phenotype. She was unexpectedly thin and had psychosis, hyperpigmentation, proximal myopathy, axonal neuropathy and no clinical discriminatory features of Cushing’s syndrome such as central adiposity, dorsocervical or supraclavicular fat pad, plethora or striae. She had also a history of type 2 diabetes and hypertension 2 years before her admission. The patient was diagnosed with Cushing’s later. From what was presented, the patient did not know she had Cushing’s until after her delivery and despite the highly elevated UFC, and she completed a normal-term delivery. Given that she only presented with psychosis and proximal myopathy, her pregnancy was considered unusual. Her clinical features such as hyperpigmentation and severe muscle weakness are among less common presentations.5 11β-hydroxysteroid dehydrogenase type 1 (11-βHSD1) is an enzyme responsible for converting cortisone (inactive glucocorticoid) into cortisol (active). It is speculated that this enzyme has a role in obesity (Figure 2).6,7 Figure 2. The enzymatic actions of 11β-hydroxysteroid dehydrogenase on its substrate interconverting inactive and active glucocorticoid. OPEN IN VIEWER In a case reported by Tomlinson, a 20-year-old female was diagnosed with Cushing’s disease despite not having the classical features of the disease. It has been suggested that the mechanism is a partial defect in 11β-HSD1 activity and concomitant increase in cortisol clearance rate. Thus, the patient did not have a classic phenotype; the defect in the conversion of cortisone to cortisol rises cortisol clearance and protects the patient from the effects of cortisol excess. This observation may help explain individual susceptibility to the side effects of glucocorticoids.6 Further studies of Tomlinson et al showed that a deficit in the function of (and not a mutation related to) 11β-HSD2 might have been responsible for the absence of typical Cushing’s symptoms. 11-HSD2 keeps safe the mineralocorticoid receptor from excess cortisol. Mutation in the HSD11B2 gene explains an inherited form of hypertension, apparent mineralocorticoid excess syndrome, in which Cushing’s disease results in cortisol-mediated mineralocorticoid excess affecting the kidney and leads to both hypokalemia and hypertension.8 It is frequent in Cushing’s syndrome that the patients usually have no mineralocorticoid hypertension; however, it is still proposed that a defect in 11β-HSD1 can be responsible for the presence of mineralocorticoid hypertension in a subgroup of patients. In fact, 11β-HSD1 is expressed in several tissues like the liver, kidneys, placenta, fatty tissues and gonads,9 meaning that this enzyme may potentially affect the results of cortisol excess in Cushing’s syndrome/disease. Abnormality in the function of this enzyme could explain the absence of the symptoms like central obesity, easy bruising, and typical striae during Cushing’s disease. Several factors affect the action of glucocorticoids. In this regard, the impact of the different types and levels of impairment in glucocorticoid receptors have been highlighted in some studies, as it can lead to different levels of response to glucocorticoids10 as well as a variety in the symptoms observed in Cushing’s disease. The predominant reaction of the NADP(H)-dependent enzyme 11-Tukey’s honestly significant difference (HSD)1 happens through the catalysis of the conversion of inactive cortisol into receptor-active cortisol. The reverse reaction is mediated through the unidirectional NAD-dependent 11-HSD type 2 (Figure 2).11 In another case reported by Ved V. Gossein, a 41-year-old female was evaluated for hirsutism and irregular menstrual cycles. Her BMI was 22.6 kg/m2. The patient had no signs or symptoms of overnight recurrent Cushing’s syndrome, the 48-hour DST failed to suppress cortisol levels, and 24-hour urinary cortisol levels were persistently elevated on multiple occasions. Adrenocorticotropic hormone levels were unreasonably normal, suggesting ACTH-dependent hypercortisolism. Despite these disorders, she had 2 children. Magnetic resonance imaging (MRI) of the pituitary did not show any abnormalities. Moreover, abdominal MRI did not show adrenal mass or enlargement. Genetic testing to determine glucocorticoid resistance syndrome showed no mutation.12 Primary generalized glucocorticoid resistance is a rare genetic disorder characterized by generalized or partial insensitivity of target tissues to glucocorticoids.13-17 There is a compensatory increase in hypothalamic-pituitary activity due to decreased sensitivity of peripheral tissues to glucocorticoids systems.13-17 Excessive ACTH secretion leads to high secretion of cortisol and mineralocorticoids and/or androgens. However, the clinical features of Cushing’s syndrome do not develop after resistance to the effects of cortisol. Generalized glucocorticoid resistance is a rare condition characterized by high cortisol levels but no scarring of Cushing’s syndrome.18 An important aspect of our case was her pregnancy. Our patient had a history of hypertension and diabetes type 2, 2 years before her presentation to our center that could be because of an undiagnosed Cushing’s disease. The patient’s pregnancy terminated 2 months prior the admission and she had a normal vaginal delivery. So, we suspect that she become pregnant while involved with the disease. Aside from focusing on how this can happen in a patient with such high levels of glucocorticoids, more attention should be paid to occurring pregnancy in the background of Cushing’s disease. In fact, up to 250 patients were reported, of which less than 100 were actively treated.19-22 Cushing’s disease is associated with serious complications in up to 70% of the cases coinciding with pregnancy.21 The most frequent maternal complications reported in the literature are hypertension and impaired glucose tolerance, followed by preeclampsia, osteoporosis, severe psychiatric complications, and maternal death (in about 2% of the cases). Prematurity and intrauterine growth retardation account for the most prevalent fetal complications. Stillbirth, intrauterine deaths, intrauterine hemorrhage, and hypoadrenalism have also been reported.23 Early diagnosis is especially challenging during pregnancy because of many clinical and biochemical shared features of the 2 conditions.23,24 These features include an increase in ACTH production, corticosteroid-binding globulin (CBG) 1 level, level of cortisol (urinary, plasma and free), hyperglycemia, weight gain, and an increased chance for occurrence of bruising, hypertension (mistaken with preeclampsia), gestational diabetes mellitus, weight gain, and mood swings.3 There are some suggestions proposed in the studies that help in screening and differentiation of Cushing’s from the normal and abnormal effects of pregnancy and Cushing’s disease from Cushing’s syndrome in suspected pregnant patients. Contrary to Cushing’s syndrome, the nocturnal minimum level of cortisol is preserved in pregnancy.23,25 There is not yet a diagnostic cut-off determined on mentioned level; however, a few studies elucidate the evaluation of hypercortisolemia in a pregnant patient.26-28 Urinary free cortisol, a measure that reflects the amount of free cortisol in circulation, normally increases during pregnancy, and it can increase up to 8 times the normal level with Cushing’s disease during the second and the third trimesters,23,29 which is a useful tool to evaluate cortisol levels in a suspected pregnant woman. Because the suppression of both UFC and plasma cortisol is decreased in pregnancy,23,30 a low-dose DST is not very helpful for screening Cushing’s disease in pregnant patients. However, a high-dose DST with a <80% cortisol suppression might only indicate Cushing’s disease.3,31 Thus, it helps differentiating between ectopic ACTH syndrome and Cushing’s disease.32 The use of high-dose DST can distinguish between adrenal and pituitary sources of CS in pregnancy. Owing to the limited evidence available and the lack of data on normal pregnancies, the use of corticotropin-releasing hormone (CRH), desmopressin, and high-dose DST in pregnancy is not recommended yet.33 More timely diagnosis as well as timely intervention may have saved the life of our patient. To differentiate between ectopic ACTH syndrome and Cushing’s disease, adrenal imaging should be considered. For higher plasma levels, combined employment of CRH stimulation test and an 8-mg DST can be helpful.3 Bilateral inferior petrosal sinus sampling (B-IPSS) might be needed when the findings are not in accordance with other results, but it is recommended to perform B-IPSS only if the noninvasive studies are inconclusive and only if there is enough expertise, experience, and technique for its performance.3 Although axonal neuropathy has been reported as a rare syndrome associated with paraneoplastic ectopic Cushing’s syndrome and exogenous Cushing’s syndrome, its association with Cushing’s disease has not been reported.5,32 Our patient had severe muscle weakness that we initially attributed it to myopathy and hypokalemia associated with Cushing’s syndrome. In our study, the diagnosis of axonal neuropathy was made based on electrophysiological studies by a neurology consultant and then IVIG was administered; however, the patient’s weakness did not improve after this treatment. The co-occurrence of Guillain-Barré syndrome which may also be classified as axonal neuropathy has also been reported in a pregnant woman with ectopic Cushing’s syndrome.34,35 Whether this finding is coincidental or the result of complex immune reactions driven by Cushing’s disease, or the direct effect of steroids, these results cannot be deduced from current data.36 Some data suggest that the fluctuations and inferior petrosal sinus sampling may trigger the flare of autoimmune processes, specifically when the cortisol levels start to decline during the course of Cushing’s syndrome.35,8 Also, due to COVID-19 pandemic affecting vital organs like kidney, paying attention to COVID-19 is suggested.37-40 Conclusions We presented a thin young female with psychosis, proximal myopathy, and axonal neuropathy with Cushing’s disease who had a recent pregnancy that was terminated without any fetal or maternal complications despite the repeated elevated serum cortisol and 24-hour UFC; therefore, we suggest that she might have glucocorticoid resistance. Glucocorticoid resistance is a rare disease in which the majority, but not all, of patients have a genetic mutation in the hGR-NR3C1 gene. As we did not perform genetic testing for our patient, the data are lacking. Another clue to the absence of the classic Cushing’s disease phenotype in our case is the role of isoenzymes of 11-HSD1 and 11-HSD2. Other mechanisms, such as the defect somewhere in the glucocorticoid pathway of action such as a decreased number of receptors, a reduction in ligand affinity, or a postreceptor defect, play an important role in nonclassical clinical manifestations of Cushing’s syndrome. Acknowledgments The authors thank the patient for allowing us to publish this case report. The authors show their gratitude to the of the staff of the Rasool Akram Medical Complex Clinical Research Development Center (RCRDC) specially Mrs. Farahnaz Nikkhah for its technical and editorial assists. Ethics Approval Our institution does not require ethical approval for reporting individual cases or case series. Informed Consent Written informed consent was obtained from the patient and for her anonymized information to be published in this article. Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Funding The author(s) received no financial support for the research, authorship, and/or publication of this article. References 1. Guilhaume B, Sanson ML, Billaud L, Bertagna X, Laudat MH, Luton JP. Cushing’s syndrome and pregnancy: aetiologies and prognosis in twenty-two patients. Eur J Med. 1992; 1(2):83-89. GO TO REFERENCE PubMed Google Scholar 2. Lin W, Huang HB, Wen JP, et al. Approach to Cushing’s syndrome in pregnancy: two cases of Cushing’s syndrome in pregnancy and a review of the literature. Ann Transl Med. 2019; 7(18):490. 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Abstract Cushing’s disease is a rare neuroendocrine disorder with excessive endogenous cortisol, impaired cognition, and psychiatric symptoms. Evidence from resting-state fMRI revealed the abnormalities of static brain connectivity in patients with Cushing’s disease (CD patients). However, it is unknown whether the CD patients’ dynamic functional connectivity would be abnormal and whether the dynamic features are associated with deficits in cognition and psychopathological symptoms. Here, we evaluated 50 patients with Cushing’s disease and 57 healthy participants by using resting-state fMRI and dynamic functional connectivity (dFNC) approach. We focused on the dynamic features of default mode network (DMN), salience network (SN), and central executive network (CEN) because these are binding sites for the cognitive-affective process, as well as vital in understanding the pathophysiology of psychiatric disorders. The dFNC was further clustered into four states by k-mean clustering. CD patients showed more dwell time in State 1 but less time in State 4. Intriguingly, group differences in dwell time in these two states can explain the cognitive deficits of CD patients. Moreover, the inter-network connections between DMN and SN and the engagement time in State 4 negatively correlated with anxiety and depression but positively correlated with cognitive performance. Finally, the classifier trained by the dynamic features of these networks successfully classified CD patients from healthy participants. Together, our study revealed the dynamic features of CD patients’ brains and found their associations with impaired cognition and emotional symptoms, which may open new avenues for understanding the cognitive and affective deficits induced by Cushing’s disease. Introduction Cushing’s disease is characterized by excess endogenous cortisol secretion [1] and served as a unique and natural model for investigating the effects of elevated endogenous cortisol levels on brain functions and structure [2]. It is also a good model for unraveling the linkage between stress-related brain dysfunctions and psychiatric symptoms [3]. Long-term exposure to hypercortisolism negatively affects patients’ physical and mental health, such as depression, anxiety, and psychosis [1, 4], as well as shows deleterious effects on cognitive function including impaired executive function, working memory, and attention [5,6,7]. Research progress on Cushing’s disease, which depends on static resting-state fMRI, revealed that patients with Cushing’s disease showed increased functional connectivity between the default mode network (DMN) and left lateral occipital cortex [2], and hippocampus [8]. Cortisol increase would induce connectivity changes within the DMN and salience network (SN) [9], and the DMN’s activity correlated with the morning cortisol level of patients with Cushing’s disease [10]. Despite these advances leading to an improved understanding of Cushing’s disease, it remains enigmatic how the abnormal brain connectivity within large-scale networks and how the different brain networks interact would contribute to the deficits in impaired cognitive function, as well as psychopathological symptoms. Furthermore, recent years have witnessed an increasing number of studies providing solid evidence that the brain is a dynamic system rather than a static one on a micro-time scale [11, 12]. Dynamic functional connectivity (dFNC), which is implemented by the sliding window method [13], is an ideal approach to characterize the dynamic nature of brain [11], as well as detect and predict diseases [14, 15]. However, to our knowledge, no studies have ever investigated dynamic brain functional connectivity for patients with CD. We focus here on dynamic functional connectivity and emphasize the role of default mode network (DMN), salience network (SN), and central executive network (CEN). These large-scale neurocognitive networks are critical for cognitive and affective processing [16] and are highly related to stress and cortisol level. Deficits or abnormal connectivity within these three networks are associated with a wide range of stress-related psychiatric disorders [17], as well as the high level of cortisol production [18, 19]. For example, the network-connectivity changes between SN and DMN [20, 21], SN and CEN [22] corresponded to increased cortisol levels. Furthermore, our previous studies also identified that CD patients would show dysregulations of resting-state functional connectivity patterns with DMN [10, 23]. Since CD patients also suffer from cognitive impairment and neuropsychological symptoms, including depression and anxiety, which DMN, SN, and CEN mainly modulate, we hypothesized that these three networks are critical to understanding Cushing’s disease and its comorbidity. Here we aimed to investigate two research questions. First, whether there are group differences (CD patients vs. healthy controls) in the dynamic functional connectivity within DMN, SN, and CEN; second, whether the differences can explain the psychiatric symptoms and cognitive impairments in CD patients. We configure our design with a sliding-window approach [11, 13] to portray the features of dynamic functional connectivity (dFNC) within DMN, SN, and CEN among patients with Cushing’s disease (N = 50) and healthy controls (N = 57). We first compared the temporal properties between healthy and CD patients. Then we conducted correlation and mediation analysis to see whether and how the differences in dFNC would contribute to patients’ psychiatric and physiological symptoms and cognitive deficits. We finally implemented a classification machine learning algorithm based on dynamic FNC features within these three networks to see whether these dynamic features would identity CD patients successfully. Materials and methods Ethic approval The experimental protocol was in accordance with principles of the Declaration of Helsinki and approved by a local research ethics Committee of The First Medical Center of Chinese PLA General Hospital (Beijing, China). All participants provided written informed consent after the experimental procedure had been fully explained and were reminded of their right to withdraw at any time during the study. Participants The current study recruited 50 patients with Cushing’s disease (CD patients) and 57 healthy controls (HC) who were matched in age, gender, and education (Table 1). The CD patients were recruited from the Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, between May 2017 and November 2019. The following criteria confirmed Cushing’s disease and its etiology: clinical features (e.g., moon face, supraclavicular fat pad, truncal obesity), elevated 24-h urinary free cortisol (24-h UFC, reference range 98.0–500.1 nmol/24 h), absence of normal cortisol circadian rhythm, elevated ACTH levels (reference range at 0800 h: <10.12 pmol/L), elevated cortisol secretion rates (reference range of cortisol level at 0800 h, 198.7–797.5 nmol/L), absence of normal suppression in midnight (1 mg) dexamethasone suppression test and low dose (2 mg) dexamethasone suppression test (but >50% suppression with a high dose (8 mg) of dexamethasone), and a central to peripheral ACTH ratio >2 for petrosal sinus sampling and pathology after surgery. Healthy controls (HC) were recruited from the local community through poster advertisements and were interviewed by experienced psychiatrists to ensure the absence of current or history of any mental disorder. Demographic information and clinical characteristics of all CD patients and healthy controls were shown in Table 1. Table 1 Demographic and clinical data from healthy controls and CD patients. Full size table Clinical data acquisition, neuropsychological and neuropsychiatric assessment Biometric measurements of the CD patients, including 24-h urinary free cortisol (UFC) levels, plasma Cortisol level (at 0000 h, 0800 h, 1600 h) and adrenocorticotropin (ACTH) level (at 0000 h, 0800 h, 1600 h) from a peripheral vein. Clinical severity of CD patients was obtained using the Cushing Quality of Life Scale (Cushing QOL) [24]. We also included the neuropsychological and neuropsychiatric assessments such as Self-Rating Depression Scale (SDS) [25], Self-Rating Anxiety Scale (SAS) [26], Montreal Cognitive Assessment-Beijing Version (MoCA-BJ) [27], and Chinese version of neuropsychiatric inventory (CNPI) [28]. Image acquisition Functional brain images were acquired using a 3-Tesla GE750 scanner at the First Medical Center of Chinese PLA General Hospital (Beijing, China). Blood oxygen level-dependent (BOLD) gradient echo planar images (EPIs) were obtained using an 8-channel head coil [64 × 64 × 36 matrix with 3.5 × 3.5 × 3.5 mm spatial resolution, repetition time (TR) = 2000 ms, echo time (TE) = 30 ms, flip angle = 90°, field of view (FOV) = 256 × 256 mm2]. A high-resolution T1-weighted structural image (256 × 256 × 144 matrix with a spatial resolution of 1 × 1 × 1 mm, repetition time (TR) = 6700 ms, echo time (TE) = 29 ms, flip angle = 7°) was subsequently acquired. During scanning, all participants were fitted with soft earplugs, and were requested to keep their eyes closed, to stay awake and not to think of anything. Data preprocessing The fMRI data was preprocessed using SPM12 (Wellcome Trust Centre for Neuroimaging, London). The first 10 volume of the functional images were discarded to avoid initial steady-state problems. Then functional images were spatially realigned to the first image for motion correction and corrected for slice acquisition temporal delay. Subsequently, functional images were co-registered to each participant’s segmented gray matter T1 image, then spatially normalized to the Montreal Neurological Institute (MNI) coordinate system, resampled to 3 × 3 × 3 mm voxels. Finally, all functional images were spatially smoothed with an isotropic 4 mm FWHM Gaussian kernel. Group ICA and post-processing Preprocessed data were decomposed into functional components that exhibited a unique time course profile using the group-level spatial independent component analysis, which was implemented in the GIFT toolbox (http://mialab.mrn.org/software/gift/) [29]. First, a subject-specific data reduction principal component analysis (PCA) was performed in which 120 principal components remained. Then at group level, we adopted a high model order ICA to reduce the resting state data into 100 group independent components [30] using the expectation-maximization (EM) algorithm [31] in GIFT. Further, the Infomax ICA algorithm in ICASSO [32] was repeated 20 times [33] to ensure the reliability and stability. Subject-specific spatial maps and time-courses were estimated using the back-reconstruction approach (GICA) [34]. We characterized 50 components as intrinsic connectivity networks (ICNs) by applying the following criteria:[13, 35] whether the peak activation coordinates of the functional components were primarily located in gray matter, and with minimal spatial overlap with white matter structures, vascular, ventricular, edge regions corresponding to artefacts, and susceptibility artifacts. We sorted these 50 meaningful independent components into the interested functional networks including: default mode network (DMN), central executive network (CEN) and salience network (SN) (Fig. 1) according to the spatial correlation values between independent components and the given template [36]. Additional post-processing was conducted to remove remaining noise. Time-courses of the seven components were detrended, despiked and low-pass filtered with a high-frequency cutoff of 0.15 Hz [13]. Moreover, we regressed out the six parameters of head movement. Fig. 1: Composite map of the three networks. And the pipeline of dynamic functional connectivity and clustering analyses. A The three brain networks, default mode network (DMN, including 7 components), central executive network (CEN, including 9 components) and salience network (SN, including 7 components) are derived from group spatial independent components analyses among all participants. B First, for each participant, the dynamic functional connectivity (FNC) matrices are estimated on each sliding window (200 windows) of a set of components within the three networks. Then we applied k-means clustering algorithm on the dynamic FNC matrices across all subjects to assess the reoccurring FNC’s states. Optimal number of states was determined by elbow method. We showed the averaged FNC pattern and the corresponding total number of windows in each state, percentage of each occurrence was presented in parentheses. The color bar represents the z value of FNC. Full size image Dynamic functional connectivity Sliding window approach is the most common way to investigate the nonstationary nature of functional connectivity (FC) of fMRI data. We conducted dynamic FC analysis using the DFC network toolbox in GIFT. In line with previous studies [13, 36], a window of 60 s width (30 TR), sliding in steps of one repetition time was applied to divide the time-courses of each independent components into 200 windows. As covariance estimation using time series of shorter length can be noisy, the regularized inverse covariance matrix (ICOV) was adopted [37]. Following graphic LASSO framework [38], we imposed an additional L1 norm of the precision matrix to enforce sparsity. Clustering analysis Based on previous studies, we applied a k-means clustering algorithm on windowed functional connectivity matrices [39] to assess the frequency and structure of reoccurring functional connectivity patterns (states) across all subjects. We used Manhattan distance function to estimate the similarity between different time windows of FC matrices, which had been demonstrated as an effective measure for high-dimensional data [40]. To obtain the optimal number of states, a cluster validity analysis (silhouette) was conducted on the exemplars of all the subjects. To avoid cost function convergence to the local optimal solution, all clustering analyses were iterated 5 times in GIFT, and the best result was used. Finally, we determined the optimal number of clusters as equal to four (k = 4). According to the clustering results, three temporal properties of dynamic FC states derived from each subject’s state vector were calculated: (i) mean dwell time, measured as the average number of consecutive windows belonging to one state; (ii) fraction of time, measured as the proportions of total windows in one state; (iii) number of transitions, defined as the number of state transitions during the entire scan. Mediation analyses Bootstrapping method was used to estimate the mediation effect. Bootstrapping is a nonparametric approach to effect-size estimation and hypothesis testing that is increasingly recommended for many types of analyses, including mediation [41, 42]. Bootstrapping generates an empirical approximation of the sampling distribution of a statistic by repeated random resampling from the available data and uses this distribution to calculate p-values and construct confidence intervals (5000 resamples were taken for these analyses). Moreover, this procedure supplies superior confidence intervals (CIs) that are bias-corrected and accelerated [43, 44]. Classification analyses using dynamic functional connectivity We conducted classification analyses based on dynamic FNC features [35] to classify each kind of patients. Specifically, we firstly formed a regression matrix, Rgroups × cluster centroids, then regressed out the windowed FNC matrices at each time window using the regression matrix for each participant. These analyses end up with eight β coefficients for each time window for each participant. Next, we computed the mean β coefficients for all time windows. Thus, we got eight mean β coefficients for each participant. These mean β coefficients served as the dynamic FNC features for the classification analysis. The classification analysis using supervised machine learning method, linear support vector machine algorithm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/) with a standard 10-fold cross-validation. We randomly divided the data into 10 subgroups, used the trained classifier from the nine subgroups to predict the performance on the left one subgroup, and repeated the procedure for 100 times. We reported the averaged classification accuracy for each group across these 100 times. Results Neuropsychological and neuropsychiatric difference between healthy controls and CD patients Patients with Cushing’s disease reported higher depression, anxiety, and higher frequency and severity mental illness than healthy controls. Additionally, CD patients also behaved impaired cognitive ability than healthy controls (see Table 1) Functional connectivity within DMN, CEN and SN networks in the four states Spatial map of default mode network, central executive network and salience network identified using the group independent component analysis was shown in Fig. 1A. Independent components were grouped based on their anatomical and presumed functional properties: default mode network (ICs, 9, 12, 27, 28, 32, 44, 74), central executive network (ICs, 15, 21, 26, 48, 50, 63, 85, 89, 97), and salience network (ICs, 20, 43, 57, 59, 76, 82, 92). We adopted a k-means clustering algorithm on the dynamic functional connectivity (dFNC) from all subjects into four connectivity states. Figure 1B shows the cluster centroid and the percentage of occurrences of each state (arranged in the order of emergence). Different temporal properties between HC and CD patients We firstly compared the mean dwell time between healthy controls and CD patients in each state (Fig. 2A–D). Using independent T test, we found that the CD patients had higher mean dwell time than HC in State 1 (CD patients: 89.040 ± 59.216 vs. HC: 57.491 ± 40.671; t(105) = 3.244, p = 0.002), but less mean dwell time than HC in State 4 (CD patients: 31.300 ± 39.413 vs. HC: 66.438 ± 45.734; t(105) = −4.227, p < 0.001). We did not observe significant difference in State 2 (CD patients vs. HC: t(105) = 1.700, p = 0.092), nor in State3 (CD patients vs. HC: t(105) = −1.517, p = 0.132). For the switch time (i.e., the number of transitions), CD patients revealed less transition number than healthy controls did (CD patients: 6.600 ± 3.187 vs. HC: 7.824 ± 3.059; t(105) = −2.205, p = 0.045; Fig. 2E). Multiple comparisons were corrected by false-discovery rate (FDR), p < 0.05. All contrasts remained the same after FDR correction excepted the results of switch time became marginally significant, FDR corrected p = 0.075. Group difference on fraction of time in each state was similar with the mean dwell time (see Supplementary Table S1). Levene’s test is used to check that variances are equal for all samples. Fig. 2: Mean dwell time of dynamic FNC states and number of transitions between CD patients and healthy controls. A In State 1, CD patients engaged higher mean dwell time than healthy control did. B, C In State 2 and State 3, no difference was found between CD patients and healthy controls. D In State 4, CD patients showed significant less mean dwell time than healthy controls. E There was marginally significant difference (after FDR correction) on number of transitions between CD patients and healthy controls. Multiple comparisons were corrected by FDR, p < 0.05 (Error bars represent standard error. p < 0.01**, p < 0.001***, p < 0.08+, N.S not significant). HC Healthy controls, CD patients with Cushing’s disease. Full size image Correlation between dynamic FNC properties and clinical characteristics To examined whether the dynamic FNC properties were associated with clinical characteristics, we did Pearson correlation analyses. Since the group differences were found in State 1 and State 4, we only restricted our analyses on these two states. Notably, we found that the dwell time in State 1 positively correlated with the self-reported anxiety (SAS), and cortisol level at 8:00, 16:00, 00:00, ACTH at 8:00, 16:00, as well as elevated 24-h urinary free cortisol. That is, the longer time spent on State 1 which with more sparsely connected pattern, the worse the mental health and higher cortisol level. We also detected a robust negative correlation between dwell time of State 1 and global cognitive scales (MoCA), which indicated that more time spent in State 1, the worse cognitive ability would be. In the contrary, dwell time in State 4 showed significant negative correlation with the self-reported depression, anxiety, and cortisol level at 8:00, 16:00, 00:00. More dwell time in State 4 predicted better cognitive performance measured by MoCA (all results see Table 2). Multiple comparisons were conducted by FDR, p < 0.05. Table 2 Correlations between dynamic functional connectivity temporal properties in cognitive control network and clinical data. Full size table Dwell time in State 1 and State 4 within cognitive control network mediate group difference in cognitive performance Interestingly, we found the dwell time in State 1 and State 4 significantly mediated the difference between individuals with excessive high cortisol level (CD patients) and healthy controls on cognitive performance. That is, lower cognitive performance in CD patients was linked with more dwell time in State 1 (Fig. 3A), and less dwell time in State 4 (Fig. 3B) within the three networks. Fig. 3: Mediation effect of dwell time in State 1 and State 4 on group difference on cognitive performance. A Dwell time in State 1 and B dwell time in State 4 significant partially mediated the difference between CD patients and healthy controls on cognitive performance measured by MoCA. HC Healthy controls, CD patients with Cushing’s disease. Full size image Distinct network-based functional connectivity between CD patients and healthy controls and its associations with psychiatric symptoms and cognitive performance We have already known that the difference on dwell time in State 1 and State 4 can explain the group difference (i.e., CD patients vs. healthy controls) on cognitive performance. We further characterized the State 1 and State 4 by analyzing functional connectivity between the three networks, as well as the functional connectivity within each network. Results showed that in State 1, the CD patients had weaker connectivity within DMN (t(104)1 = −2.584, p = 0.011), and the connections between CEN and DMN (t(104) = −5.141, p < 0.001), CEN and SN (t(104) = −4.732, p < 0.001) were also weaker than healthy controls. And in State 4, CD patients showed weaker functional connections between DMN and SN (t (84)2 = −4.203, p < 0.001), as well as DMN and CEN (t(84) = −3.547, p = 0.001). Moreover, in State 4, functional connection between DMN and SN was negatively correlated with anxiety level measured by SAS (r(68) = −0.336, p = 0.005), and depression level measured by SDS (r(68) = −0.320, p = 0.008), but positively correlated with cognitive performance measured by MoCA (r(65) = 0.421, p < 0.001). Since CD patients showed decreased connection between DMN and SN, these results may suggest that the connection between DMN and SN was critical for understanding the psychiatric symptoms and cognitive deficits in CD patients. All significant results reported here were survived after FDR (p < 0.05) correction. We did not find significant associations between functional connectivity of neither inter-network and intra-network and psychiatric symptoms and cognitive deficits in State 1. No significant correlation results were found between the inter-network and intra-network connectivity and physiological indices (i.e., cortisol, ACTH, and UFC) in these two states, which may suggest that the dwell time in specific state would be more sensitive to physiological change. Classification results based on dynamic FNC features The support vector machine (SVM) based on dynamic FNC approach (Fig. 4A, details see Method) showed classification accuracy of 84.76% for CD patients, 88.98% for healthy controls (Fig. 4B). The classification scores were evaluated using a receiver operating characteristic (ROC) curve aiming to visualize the performance of the classifier. The classification results may further indicate that the dynamic functional connectivity pattern within these three networks would be the potential biomarker of individuals with excessive higher cortisol level. Fig. 4: The results of classification. A An overview of classification approach. We first extracted the averaged FNC pattern for each state for each group. Then we performed Pearson correlation between the FNC in each window and the FNC pattern in all states among all groups. These procedures ended up with 8 averaged features for each participant. B Receiver Operating Characteristic (ROC) curves for classification. SVM support vector machine, AUC area under the curve. Full size image Discussion In the current study, we adopted independent component analysis (ICA) and dynamic functional connectivity (FNC) approaches to reveal the difference in dynamic FNC within DMN, SN, and CEN networks between CD patients and healthy controls. Using clustering algorithm, we defined four reoccurring FNC states during resting-state scanning. Wherein State 1 and State 4 exhibited significant differences between healthy control and CD patients. Patients generally showed more dwell time in State 1 but less in State 4 than healthy controls. Specifically, in State 1, the CD patients showed weaker connections within DMN, as well as weaker intra-network connectivity between DMN and CEN, SN and CEN than healthy controls. In State 4, connections between DMN and SN, DMN and CEN showed weaker connection in CD patients than in healthy participants. Further correlation and mediation analyses showed that the dwell time in State 1 significantly negatively correlated with cognitive performance. While dwell time in State 4, as well as the connections between DMN and SN in State 4, were found to positively correlate with cognitive performance, and negatively associated with depression and anxiety symptoms. Both states were associated with physiological indices including cortisol, ACTH and 24-hour UFC. Importantly, results from mediation analysis indicated the difference between CD patients and healthy controls on dwell time in State 1 and State 4 can be used to explain their cognitive performance difference. Intriguingly, adopting support vector machine algorithm based on dynamic FNC within DMN, SN and CEN network generally showed ideal classification accuracy for CD patients and healthy controls. These findings begin to delineate the dynamic properties of the three brain networks, which are critical for cognitive and neuropsychiatric, and open new avenues for understanding and explaining the impaired cognitive performance and psychiatric symptoms induced by Cushing’s disease. We found two distinct functional connectivity states across two groups. State 1 can be characterized as having weak connections among the three networks, while State 4 showed relatively strong inter-network and intra-network connections. We observed that in patients with Cushing’s disease, State 1 occurred more often, while State 4 occurred less than in healthy controls. These results help to confirm CD patients’ weaker connections within DMN, SN, and CEN. Previous studies identified that white matter integrity was generally decreased throughout the whole brain rather than just on individual fasciculus [45,46,47]. One possible explanation is that the extensive decline in white matter structural integrity leads to the decreased connectivity of the three networks, which are critical for the cognitive-affective process. We found that in State 1, CD patients showed decreased local synchronization (i.e., within network connectivity) of DMN, and weak inter-network connections between CEN and DMN, CEN and SN. The DMN’s integrity appears crucial for cognitive performance. For example, patients with Alzheimer’s disease showed decreased connectivity within DMN [48]. Since dwell time of State 1 was negatively correlated with MoCA and mediated the group differences on MoCA. We may infer that cognitive deficit may be due to that CD patients engaged more time in State 1 with weak connections of DMN. Interestingly, the more dwell time in State 4, the less anxiety and depression symptoms individuals would have. Moreover, our further analyses found that connections between DMN and SN during State 4 would also negatively affect anxiety and depression. And the CD patients had weaker DMN-SN connections than healthy controls in this state. In line with previous studies, effective connectivity from DMN to SN was lower in major depression disorders compared to healthy controls when processing negative information [49]. And the inter-network connections between the SN and DMN were inversely associated with trait anxiety levels [50]. Therefore, the time engaged in State 4 and the weak inter-network connectivity between SN and DMN may contribute to psychopathological symptoms in CD patients. Dynamic functional connectivity provides time-varying rather than static features over time [11], and it is more effective to capture various aspects of brain connectivity. The dFNC approach has obvious advantages for classification purposes [35]. For example, previous research showed high classification accuracy for psychiatric diseases such as schizophrenia [51], and bipolar [35]. In our study, the SVM based on dynamic functional connectivity features within DMN, SN and CEN showed high classification accuracy for CD patients and healthy controls, which may indicate that the dynamic properties in these three networks would be potential biomarkers for individuals with excessive higher cortisol level. The long-term remitted CD (LTRCD)-patients still suffered from cognitive impairments and emotional symptoms such as anxiety and depression, even though their cortisol levels back to normal after the removal of the adenoma [2, 52, 53]. We revealed that the dynamic features in DMN, SN, and CEN correlate with depression and anxiety symptoms in CD patients and are strongly associated with cognitive performance. Our findings may contribute to developing further neuro-modulation targets to help CD patients improve cognitive ability and mental health. Several limitations of the present study should be mentioned. First, Cushing’s disease is rare, and it is more common in women [1, 3]. We only showed results based on a female sample (healthy controls were all female). Therefore, our conclusion may not be adaptive for the male population. Second, some research suggested that the dynamic functional connectivity analyses should be performed in resting state acquisitions of at least ten minutes [54]. The length of current resting-state scan was eight minutes, although many previous studies studied dynamic FNC based on resting-state data in eight minutes or even less [13, 20, 51], further studies should consider longer scanning to capture more dynamic spontaneous features. Thirdly, our results revealed that cortisol concentrations were significantly associated with dwell time in State 1 and 4 but were not correlated with inter-network or intra-network connections. Human cortisol secretion has apparent circadian rhythmicity [55], but our resting state acquisitions were not collected multiple times. Our conclusions may not be informative to understand the relationships between dynamic functional connections and dynamic cortisol levels. In conclusion, our study delineates the differences in dynamic properties between CD patients and healthy participants. It unravels its associations with cognitive deficits, impaired affective processes, and physiological indices in CD patients. We believe the temporal dynamics of functional connectivity within the three crucial cognitive and affective brain networks could be a promising imaging biomarker to monitor cognitive changes and psychiatric symptoms in Cushing’s disease. Data availability All datasets are available on figshare. https://figshare.com/projects/Dynamic_functional_connectivity_changes_associated_with_psychiatric_traits_and_cognitive_deficits_in_Cushing_s_disease/170343. Code availability All code used for all analyses and plots are publicly available on GitHub at https://github.com/psywalkeryanxy/paper_CD_ICA. References Lacroix A, Feelders RA, Stratakis CA, Nieman LK. Cushing’s syndrome. Lancet. 2015;386:913–27. Article CAS PubMed Google Scholar van der Werff SJA, Pannekoek JN, Andela CD, Meijer OC, van Buchem MA, Rombouts SARB, et al. Resting-state functional connectivity in patients with long-term remission of Cushing’s disease. Neuropsychopharmacology. 2015;40:1888–98. Article PubMed PubMed Central Google Scholar Swearingen B, Biller BMK, editors. Cushing’s disease. vol. 31, US: Springer; 2011. Piasecka M, Papakokkinou E, Valassi E, Santos A, Webb SM, Vries F, et al. 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Article CAS PubMed Google Scholar Download references Acknowledgements This work was supported by the National Natural Science Foundation of China (No. 82001798 and No. 81871087) and China Brain Project (2021ZD0200407). Author information Authors and Affiliations Department of Neurosurgery, Chinese PLA General Hospital, Haidian District, Beijing, PR China Zhebin Feng, Tao Zhou, Xinguang Yu & Yanyang Zhang Department of Respiratory Medicine, Anhui Provincial Children’s Hospital, Hefei, Anhui, PR China Haitao Zhang Neurosurgery Institute, Chinese PLA General Hospital, Beijing, PR China Xinguang Yu & Yanyang Zhang Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA Xinyuan Yan Contributions YZ and XGY, TZ conceived the project and designed research, HZ performed research, XY and ZF, YZ analyzed data and interpreted results, ZF and XY wrote the paper. All authors approved the final version of the manuscript for submission. Corresponding authors Correspondence to Yanyang Zhang or Xinyuan Yan. Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Supporting information From https://www.nature.com/articles/s41398-023-02615-y

Jessica Rotham, National Center for Health Research What is it? Cushing’s syndrome is a condition you probably have never heard of, but for those who have it, the symptoms can be quite scary. Worse still, getting it diagnosed can take a while. Cushing’s syndrome occurs when the tissues of the body are exposed to high levels of cortisol for an extended amount of time. Cortisol is the hormone the body produces to help you in times of stress. It is good to have cortisol at normal levels, but when those levels get too high it causes health problems. Although cortisol is related to stress, there is no evidence that Cushing’s syndrome is directly or indirectly caused by stress. Cushing’s syndrome is considered rare, but that may be because it is under-reported. As a result, we don’t have good estimates for how many people have it, which is why the estimates for the actual number of cases vary so much–from 5 to 28 million people.[1] The most common age group that Cushing’s affects are those 20 to 50 years old. It is thought that obesity, type 2 diabetes, and high blood pressure may increase your risk of developing this syndrome.[2] What causes Cushing’s Syndrome? Cushing’s syndrome is caused by high cortisol levels. Cushing’s disease is a specific form of Cushing’s syndrome. People with Cushing’s disease have high levels of cortisol because they have a non-cancerous (benign) tumor in the pituitary gland. The tumor releases adrenocorticotropin hormone (ACTH), which causes the adrenal glands to produce excessive cortisol. Cushing’s syndrome that is not Cushing’s disease can be also caused by high cortisol levels that result from tumors in other parts of the body. One of the causes is “ectopic ACTH syndrome.” This means that the hormone-releasing tumor is growing in an abnormal place, such as the lungs or elsewhere. The tumors can be benign, but most frequently they are cancerous. Other causes of Cushing’s syndrome are benign tumors on the adrenal gland (adrenal adenomas) and less commonly, cancerous adrenal tumors (adrenocortical carcinomas). Both secrete cortisol, causing cortisol levels to get too high. In some cases, a person can develop Cushing’s syndrome from taking steroid medications, such as prednisone. These drugs, known as corticosteroids, mimic the cortisol produced by the body. People who have Cushing’s syndrome from steroid medications do not develop a tumor.[3] What are the signs and symptoms of Cushing’s Syndrome? The appearance of people with Cushing’s syndrome starts to change as cortisol levels build up. Regardless of what kind of tumor they have or where the tumor is located, people tend to put on weight in the upper body and abdomen, with their arms and legs remaining thin; their face grows rounder (“moon face”); they develop fat around the neck; and purple or pink stretch marks appear on the abdomen, thighs, buttocks or arms. Individuals with the syndrome usually experience one or more of the following symptoms: fatigue, muscle weakness, high glucose levels, anxiety, depression, and high blood pressure. Women are more likely than men to develop Cushing’s syndrome, and when they do they may have excess hair growth, irregular or absent periods, and decreased fertility.[4] Why is Cushing’s Syndrome so frequently misdiagnosed? These symptoms seem distinctive, yet it is often difficult for those with Cushing’s syndrome to get an accurate diagnosis. Why? While Cushing’s is relatively rare, the signs and symptoms are common to many other diseases. For instance, females with excess hair growth, irregular or absent periods, decreased fertility, and high glucose levels could have polycystic ovarian syndrome, a disease that affects many more women than Cushing’s. Also, people with metabolism problems (metabolic syndrome), who are at higher than average risk for diabetes and heart disease, also tend to have abdominal fat, high glucose levels and high blood pressure.[5] Problems in testing for Cushing’s When Cushing’s syndrome is suspected, a test is given to measure cortisol in the urine. This test measures the amount of free or unbound cortisol filtered by the kidneys and then released over a 24 hour period through the urine. Since the amount of urinary free cortisol (UFC) can vary a lot from one test to another—even in people who don’t have Cushing’s—experts recommend that the test be repeated 3 times. A diagnosis of Cushing’s is given when a person’s UFC level is 4 times the upper limit of normal. One study found this test to be highly accurate, with a sensitivity of 95% (meaning that 95% of people who have the disease will be correctly diagnosed by this test) and a specificity of 98% (meaning that 98% of people who do not have the disease will have a test score confirming that).[6] However, a more 2010 study estimated the sensitivity as only between 45%-71%, but with 100% specificity.[7] This means that the test is very accurate at telling people who don’t have Cushing’s that they don’t have it, but not so good at identifying the people who really do have Cushing’s. The authors that have analyzed these studies advise that patients use the UFC test together with other tests to confirm the diagnosis, but not as the initial screening test.[8] Other common tests that may be used to diagnose Cushing’s syndrome are: 1) the midnight plasma cortisol and late-night salivary cortisol measurements, and 2) the low-dose dexamethasone suppression test (LDDST). The first test measures the amount of cortisol levels in the blood and saliva at night. For most people, their cortisol levels drop at night, but people with Cushing’s syndrome have cortisol levels that remain high all night. In the LDDST, dexamethasone is given to stop the production of ACTH. Since ACTH produces cortisol, people who don’t have Cushing’s syndrome will get lower cortisol levels in the blood and urine. If after giving dexamethasone, the person’s cortisol levels remain high, then they are diagnosed with Cushing’s.[9] Even when these tests, alone or in combination, are used to diagnose Cushing’s, they don’t explain the cause. They also don’t distinguish between Cushing’s syndrome, and something called pseudo-Cushing state. Pseudo-Cushing state Some people have an abnormal amount of cortisol that is caused by something unrelated to Cushing’s syndrome such as polycystic ovarian syndrome, depression, pregnancy, and obesity. This is called pseudo-Cushing state. Their high levels of cortisol and resulting Cushing-like symptoms can be reversed by treating whatever disease is causing the abnormal cortisol levels. In their study, Dr. Giacomo Tirabassi and colleagues recommend using the desmopressin (DDAVP) test to differentiate between pseudo-Cushing state and Cushing’s. The DDAVP test is especially helpful in people who, after being given dexamethasone to stop cortisol production, continue to have moderate levels of urinary free cortisol (UFC) and midnight serum cortisol.[10] An additional test that is often used to determine if one has pseudo-Cushing state or Cushing’s syndrome is the dexamethasone-corticotropin-releasing hormone (CRH) test. Patients are injected with a hormone that causes cortisol to be produced while also being given another hormone to stop cortisol from being produced. This combination of hormones should make the patient have low cortisol levels, and this is what happens in people with pseudo-Cushing state. People with Cushing’s syndrome, however, will still have high levels of cortisol after being given this combination of hormones.[11] How can Cushing’s be treated? Perhaps because Cushing’s is rare or under-diagnosed, few treatments are available. There are several medications that are typically the first line of treatment. None of the medications can cure Cushing’s, so they are usually taken until other treatments are given to cure Cushing’s, and only after that if the other treatment fails. The most common treatment for Cushing’s disease is transsphenoidal surgery, which requires the surgeon to reach the pituitary gland through the nostril or upper lip and remove the tumor. Radiation may also be used instead of surgery to shrink the tumor. In patients whose Cushing’s is caused by ectopic ACTH syndrome, all cancerous cells need to be wiped out through surgery, chemotherapy, radiation or a variety of other methods, depending on the location of the tumor. Surgery is also recommended for adrenal tumors. If Cushing’s syndrome is being caused by corticosteroid (steroid medications) usage, the treatment is to stop or lower your dosage.[12] Medications to control Cushing’s (before treatment or if treatment fails) According to a 2014 study in the Journal of Clinical Endocrinology and Metabolism, almost no new treatment options have been introduced in the last decade. Researchers and doctors have focused most of their efforts on improving existing treatments aimed at curing Cushing’s. Unfortunately, medications used to control Cushing’s prior to treatment and when treatment fails are not very effective. Many of the medications approved by the FDA for Cushing’s syndrome and Cushing’s disease, such as pasireotide, metyrapone, and mitotane, have not been extensively studied. The research presented to the FDA by the makers of these three drugs did not even make clear what an optimal dose was.[13] In another 2014 study, published in Clinical Epidemiology, researchers examined these three same drugs, along with ten others, and found that only pasireotide had moderate evidence to support its approval. The other drugs, many of which are not FDA approved for Cushing’s patients, had little or no available evidence to show that they work.[14] They can be sold, however, because the FDA has approved them for other diseases. Unfortunately, that means that neither the FDA nor anyone else has proven the drugs are safe or effective for Cushing patients. Pasireotide, the one medication with moderate evidence supporting its approval, caused hyperglycemia (high blood sugar) in 75% of patients who participated in the main study for the medication’s approval for Cushing’s. As a result of developing hyperglycemia, almost half (46%) of the participants had to go on blood-sugar lowering medications. The drug was approved by the FDA for Cushing’s anyway because of the lack of other effective treatments. Other treatments used for Cushing’s have other risks. Ketoconazole, believed to be the most commonly prescribed medications for Cushing’s syndrome, has a black box warning due to its effect on the liver that can lead to a liver transplant or death. Other side effects include: headache, nausea, irregular periods, impotence, and decreased libido. Metyrapone can cause acne, hirsutism, and hypertension. Mitotane can cause neurological and gastrointestinal symptoms such as dizziness, nausea, and diarrhea and can cause an abortion in pregnant women.[15] So, what should you do if you suspect you have Cushing’s Syndrome? Cushing’s syndrome is a serious disease that needs to be treated, but there are treatment options available for you if you are diagnosed with the disease. If the symptoms in this article sound familiar, it’s time for you to go see your doctor. Make an appointment with your general practitioner, and explain your symptoms to him or her. You will most likely be referred to an endocrinologist, who will be able to better understand your symptoms and recommend an appropriate course of action. All articles are reviewed and approved by Dr. Diana Zuckerman and other senior staff. Nieman, Lynette K. Epidemiology and clinical manifestations of Cushing’s syndrome, 2014. UpToDate: Wolters Kluwer Health Cushing’s syndrome/ disease, 2013. American Association of Neurological Surgeons. http://www.aans.org/Patient Information/Conditions and Treatments/Cushings Disease.aspx Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Newell-Price, John, Peter Trainer, Michael Besser and Ashley Grossman. The diagnosis and differential diagnosis of Cushing’s syndrome and pseudo-Cushing’s states, 1998. Endocrine Reviews: Endocrine Society Carroll, TB and JW Findling. The diagnosis of Cushing’s syndrome, 2010. Reviews in Endocrinology and Metabolic Disorders: Springer Ifedayo, AO and AF Olufemi. Urinary free cortisol in the diagnosis of Cushing’s syndrome: How useful?, 2013. Nigerian Journal of Clinical Practice: Medknow. Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Tirabassi, Giacomo, Emanuela Faloia, Roberta Papa, Giorgio Furlani, Marco Boscaro, and Giorgio Arnaldi. Use of the Desmopressin test in the differential diagnosis of pseudo-Cushing state from Cushing’s disease, 2013. The Journal of Clinical Endocrinology & Metabolism: Endocrine Society. Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Cushing’s syndrome, 2012. National Endocrine and Metabolic Diseases: National Institutes of Health. http://endocrine.niddk.nih.gov/pubs/cushings/cushings.aspx#treatment Tirabassi, Giacomo, Emanuela Faloia, Roberta Papa, Giorgio Furlani, Marco Boscaro, and Giorgio Arnaldi. Use of the Desmopressin test in the differential diagnosis of pseudo-Cushing state from Cushing’s disease, 2013. The Journal of Clinical Endocrinology & Metabolism: Endocrine Society. Galdelha, Monica R. and Leonardo Vieira Neto. Efficacy of medical treatment in Cushing’s disease: a systematic review, 2014. Clinical Endocrinology: John Wiley & Sons. Adler, Gail. Cushing syndrome treatment & management, 2014. MedScape: WebMD. Adapted from https://www.center4research.org/cushings-syndrome-frequent-misdiagnosis/?fbclid=IwAR1lfJPilmaTl1BhR-Esi69eU7Xjm3RlO4f8lmFBIviCtHHXmVoyRxOlJqE

I'm not sure I like this! STORY: Could artificial intelligence be used to make brain surgery safer? At this university in London, trainee surgeon Danyal Khan is taking part in a mock operation during which he's assisted by a real-time video feed, as is typical in brain surgery. But what's new here is that the footage is being analyzed by AI to help Khan better understand what he's seeing. The AI system, which is under development at University College London (UCL), highlights sensitive or critical structures in the brain. Neurosurgeon Hani Marcus believes it has the potential to make brain surgery safer and more effective: "So I'm very bullish that in the medium to long term, the A.I. will be helping lots of surgeons do lots of operations better than they otherwise can." Marcus says the AI system analyzed video of more than 200 pituitary gland tumor operations, and gained around 10 years-worth of experience in a fraction of the time. That knowledge means the AI can now not only help navigate to the correct area of the brain, but also know what should be happening at any stage of the procedure, making it a valuable training aid. "So, what we're really trying to do is apply AI or artificial intelligence to support surgeons doing brain tumor surgery at the base of the brain. And what this practically entails is us training the AI with hundreds of videos, telling it, if you like, what structures are what and then at some point over that period, the AI becomes really good itself at recognising things, and able to support other surgeons who're perhaps less experienced in advising them what to do next." Assistant Professor of Robotics and A.I. Sophia Bano explains how that might look in a real operation: "There can be scenarios where clinicians, unintentionally, are very close to a very critical structure such as the optic nerve. This can have, any damage or a slight more pressure on the optic nerve, can have long term complications on the patient side. So, this whole tool will alert the surgeon during the procedure if there is any risk of potential complication so they can recalibrate themselves during the procedure." Khan, who was also involved in developing the software that is now helping him learn, says the A.I. system has been a valuable tool in his training. It could also provide him with step-by-step guidance during a procedure, similar to having a senior surgeon standing over your shoulder. "I think as I progress as a surgeon, there might be stages where I wonder, you know, have I done enough of a particular part of the procedure and should I move on? And actually having that sort of assistant in the background as a reassurance to look at and say, 'well, yeah, actually, at this stage, out of the hundreds of videos of experts that this algorithm has watched, the experts would probably start moving on to the next phase'. It's a useful double check." According to UCL, the system could be ready to be used in operating theaters within two years. From https://news.yahoo.com/ai-could-help-brain-surgery-080156167.html

Niall Cavanagh, now aged 48, bravely fought and beat a brain tumour diagnosis when he was a teenager. He shared his experience with The Kerryman in an interview conducted ahead of the seventeenth annual International Brain Tumour Awareness Week. This week-long event, running from October 28th to November 4th, aims to raise awareness about brain tumours and support those affected by them. Niall’s journey was not an easy one. Leading up to his diagnosis in 1992, he experienced symptoms such as excessive thirst, urination, severe headaches, vomiting, and stunted growth. It was when he went for an eye examination for double vision that the examiner noticed something seriously wrong with his retinas. Further tests revealed a germinoma brain tumour pressing on the pituitary gland. To relieve the pressure caused by the tumour, Niall underwent an emergency ventriculoperitoneal shunt procedure. This involved inserting a tube from his brain to his abdomen to drain the excess cerebrospinal fluid. He also underwent extensive radiotherapy to shrink the tumour and prevent its spread. The tumour affected Niall’s pituitary gland, resulting in a condition known as hypopituitarism. This condition causes a deficiency in various hormones, including growth hormone and anti-diuretic hormone. Niall experienced adverse effects on his physical and mental health due to the tumour and subsequent treatments. Despite the challenges, Niall gained a clearer perspective on life. He learned to appreciate what is truly important and developed compassion through his own struggles with depression and anxiety. He emphasized that each person’s experience with a brain tumour is unique, and it’s essential to show support and understanding to others facing similar battles. Niall’s health has gradually improved over the years, although he still faces challenges due to a weakened immune system. However, he remains resilient and has pursued higher education, obtaining two degrees in IT and a Masters in information systems. He currently works part-time in an administrative role with the Renewable Energy Centre in Killarney. Throughout his journey, Niall received invaluable support from his family and various organizations, including the Cork Brain Tumour Support Group (now Brain Tumour Ireland), the Pituitary Foundation, and Headway in Tralee. Niall’s story serves as an inspiration and a reminder of the importance of raising awareness and providing support to those affected by brain tumours. International Brain Tumour Awareness Week aims to continue spreading awareness and fostering understanding of this life-changing condition. Sources: – The Kerryman From https://www.expresshealthcaremgmt.com/news2/kerry-man-reflects-on-beating-brain-tumour-diagnosis-as-a-teenager-you-have-to-sink-or-swim/156637/

Abstract Background and Objectives Crooke cell adenomas (CCA) are a rare, aggressive subset of adrenocorticotrophin secreting pituitary corticotroph adenomas (sCTA) found in 5–10% of patients with Cushing’s disease. Multiple studies support worse outcomes in CCA but are limited by small sample size and single-institution databases. We compared outcomes in CCA and sCTA using a multicenter, international retrospective database of high-volume skull base centers. Methods Patients surgically treated for pituitary adenoma from January 2017 through December 2020 were included. Results 2826 patients from 12 international centers were compared (n=20 CCA and n=480 sCTA). No difference in baseline demographics, tumor characteristics or postoperative complications was seen. Microsurgical approaches (60% CCA vs. 62.3% sCTA) were most common. Gross total resection (GTR) was higher in CCA patients (100% vs. 83%, p=0.05). Among patients that had GTR according to intraoperative findings, fewer CCA patients had postoperative hormone normalization of pituitary function (50% vs. 77.8%, p<0.01) and remission of hypersecretion by 3-6 months (75% vs. 84.3%, p<0.01). This was present despite CCA having better local control rates (100% vs. 96%, p<0.01) and fewer patients with remnant on MRI (0% vs. 7.2%, p<0.01). A systematic literature review of 35 studies reporting on various treatment strategies reiterated the high rate of residual tumor, persistent hypercortisolism, and tumor-related mortality in CCA patients. Conclusion This modern, multicenter series of patients with CCA reflects their poor prognosis and reduced post-surgical hormonal normalization. Further work is necessary to better understand the pathophysiology of CCA to devise more targeted treatment approaches. References (0) Cited by (0) Previous presentations: none Previous publications: none Disclosures No relevant disclosures to report CREDIT statement Matthew Finlay: conceptualization, writing – review and editing Richard Drexler: conceptualization, writing – review and editing All: data curation, writing – review and editing Michael Karsy: conceptualization, data curation, methodology, writing – original draft, writing – review and editing, supervision Funding and Disclosures: none View full text From https://www.sciencedirect.com/science/article/abs/pii/S187887502301344X

Context: Intensity-modulated radiotherapy (IMRT) is a modern precision radiotherapy technique for the treatment of the pituitary adenoma. Objective: Aim to investigate the efficacy and toxicity of IMRT in treating Cushing’s Disease (CD). Methods: 70 of 115 patients with CD treated with IMRT at our institute from April 2012 to August 2021 were included in the study. The radiation doses were usually 45-50 Gy in 25 fractions. After IMRT, endocrine evaluations were performed every 6 months and magnetic resonance imaging (MRI) annually. Endocrine remission was defined as suppression of 1 mg dexamethasone test (DST) or normal 24-hour urinary free cortisol level (24hUFC). The outcome of endocrine remission, endocrine recurrence, tumor control and complications were retrieved from medical record. Results: At a median follow-up time of 36.8 months, the endocrine remission rate at 1, 2, 3 and 5 years were 28.5%, 50.2%, 62.5% and 74.0%, respectively. The median time to remission was 24 months (95%CI: 14.0-34.0). Endocrine recurrence was found in 5 patients (13.5%) till the last follow-up. The recurrence-free rate at 1, 2, 3 and 5 years after endocrine remission was 98.2%, 93.9%, 88.7% and 88.7%, respectively. The tumor control rate was 98%. The overall incidence of new onset hypopituitarism was 22.9%, with hypothyroidism serving as the most common individual axis deficiency. Univariate analysis indicated that only higher Ki-67 index (P=0.044) was significant favorable factors for endocrine remission. Conclusion: IMRT was a highly effective second-line therapy with low side effect profile for CD patients. Endocrine remission, tumor control and recurrence rates were comparable to previous reports on FRT and SRS. Introduction Cushing’s disease (CD) is characterized by hypersecretion of adrenocorticotropic hormone (ACTH) from pituitary adenoma. As the state of hypercortisolemia considerably increases morbidity and mortality, normalizing cortisol levels is regarded as the major treatment goal in patients with CD (1). Transsphenoidal selective adenomectomy (TSS) is now established as the first-line treatment of CD. Despite the satisfactory remission rate that can be achieved with TSS (ranging from 59-97%), delayed recurrences have also been reported in up to 50% of patients (2). The Endocrine Society guidelines suggest a shared decision-making approach in patients who underwent a noncurative surgery or for whom surgery was not possible (3). Second-line therapeutic options include repeat transsphenoidal surgery, medical therapy, radiotherapy and bilateral adrenalectomy. Radiotherapy (RT) is generally used in patients who have failed TSS or have recurrent CD, as well as in progressively growing or invasive corticotroph tumors (3, 4). Both stereotactic radiosurgery(SRS)and fractionated radiotherapy (FRT) have been used in the treatment of CD. Conventional radiotherapy as one of the technique for FRT has been used with a long experience, but its benefits were hindered by high risk of toxicity, mainly attributed to the harm to healthy surrounding structures (4). Previous studies on conventional RT in treating CD showed high efficacy (tumor control rate of 92-100% and hormonal control rate of 46-89%), but RT-induced hypopituitarism (30-58%) and recurrence (16-21%) were also commonly reported (1, 4–7). Modern precise radiotherapy, especially intensity-modulated radiotherapy (IMRT), can spare the surrounding normal structure better by a more conformal and precise dose distribution (8). However, a large cohort study on long-term efficacy and toxicity of IMRT for CD is still lacking. Therefore, in the current study, we aim to analyze the efficacy and toxicity of intensity-modulated radiotherapy (IMRT) in treating CD. We also investigated the predictors of endocrine remission in aid of further management. Methods Patient We collected 115 cases of Cushing’s disease treated at our center from April 2012 to August 2021. Patients were excluded under the following conditions: (1) follow-up time less than 3 months, (2) lacking evaluation of serum cortisol (F), adrenocorticotropic hormone (ACTH) or 24-hour urinary free cortisol (24hUFC) before or after RT, (3) underwent uni or bilateral adrenalectomy, (4) having received RT at other institutes before admitted to our center. At last, a total of 70 cases were included in this study. Radiotherapy parameters RT was administrated by a linear accelerator (6 MV X-ray). Intensity-modulated radiation therapy was applied for all patients. Including fix-filde IMRT (FF-IMRT), volumetric modulated arc therapy (VMAT) or Tomotherapy. We immobilized the patient with an individualized thermoplastic head mask and then conducted a computed tomography (CT) simulation scan at 2- to 3-mm intervals. The target volume and organs at risks (OARs) were delined with a contrast enhanced T1-weighted image (T1WI) magnetic resonance imaging (MRI) fusing with planning CT. The gross tumor volume (GTV) was defined with the lesion visible on MRI or CT. The clinical target volume (CTV) included microscopic disease, especially when the tumor invaded cavernous sinus and surrounding bones. The planning target volume (PTV) was defined as CTV plus a margin of 2- to 3-mm in three dimensions. The prescription dose was defined at 100% isodoseline to cover at least 95% PTV. The maximum dose was limited to less than 54 Gy for the brain stem and optic pathway structures. Radiotherapy was performed once a day and five fractions a week during five to six weeks. The total dose was 45-60 Gy, delivered in 25-30 fractions, with most patients (78.6%) receiving 45-50 Gy in 25 fractions. The fractionated dose was 1.8-2.0 Gy. Data collection and clinical evaluation Baseline characteristics were collected at the last outpatient visit before RT, including demographic characteristics, biochemical data, tumor characteristics and details of previous treatments. After RT, endocrine evaluations were performed every 6 months. Endocrine remission was considered when 1 mg dexamethasone suppression test (DST)<1.8 mg/dl. If 1mg DST results were lacking, then 24hUFC within the normal range was used as a remission criterion. Patients who regained elevated hormone levels after achieving remission were considered to have endocrine recurrence. For patients receiving medications that could interfere with the metabolism of cortisol, hormonal evaluation was performed at least 3 months after the cessation of the therapy. Tumor size was measured on magnetic resonance imaging (MRI) before RT and annually after the completion of RT. Any reduction in or stabilization of tumor size was considered as tumor control. Tumor recurrence was defined as an increase of 2 millimeters in 2 dimensions comparing to MRI before RT, or from invisible tumor to a visible tumor on MRI (9). Anterior pituitary function was assessed before RT and every 6 months during the follow-up after RT. RT-induced hypopituitarism was defined as the development of new onset hormone deficiency after RT. The diagnostic criteria for growth hormone deficiency (GHD), central hypothyroidism and hypogonadotropic hypogonadism (HH) refer to previous literature (10–12). Panhypopituitarism referred to three or more anterior pituitary hormone deficiencies (13). Statistical analysis Statistical analysis was performed with SPSS version 25.0. Longitudinal analysis was performed with Kaplan-Meier method. For time-dependent variable, Log rank test was used for univariate analysis and Cox regression for multivariate analysis. The cut-off of F, ACTH and 24hUFC were defined as their median value. All variants in the univariate analysis were included in the model of multivariate analysis. P value < 0.05 was considered statistically significant. Plot was created with GraphPad Prism version 9.4. Results Patient characteristics Of 70 cases included in the study, the median age was 32 years (range, 11-66 years). 60 (85.7%) were female and 10 (14.3%) were male (F:M= 6:1). The median follow-up time was 36.8 months (range, 3.0-111.0 months). 68 patients received RT as a second-line treatment because of incomplete tumor resection, failure to achieve complete endocrine remission or recurrence postoperative, and 2 were treated with RT alone because of contraindication of surgery. The frequency of surgical treatment was 1 for 42 patients, 2 for 21 and more than 3 for 5. A total of 8 patients received medical treatment before RT. 5 of them used pasireotide, 2 used ketoconazole and 1 used mifepristone. The median ACTH level was 58.7 pg/ml (range 14.9-265 pg/ml), F, 26.2μg/dl (range 11.8-72.6 μg/dl) and 24hUFC, 355.7 μg/24hr (range 53.5-3065 μg/24hr) before RT. Tumor size evaluation was performed in all 70 patients before RT. Among them, 36 patients showed no visible residual tumor identified on MRI and only 5 patients showed tumor size more than 1 cm. Hypopituitarism was found in 31 patients (38.8%) before RT. HH was the most common (21 patients, 26.3%), followed by central hypothyroidism (13 patients, 16.3%) and GHD (9 patients, 11.3%). Panhypopituitarism was found in 4 patients (5.0%). (Table 1). Table 1 Table 1 Patient characteristics. Endocrine remission Endocrine remission was achieved in 37 of 70 patients during the follow-up. Six of them were evaluated by 1mg DST. The hormonal remission rate at 1, 2, 3 and 5 years were 28.5%, 50.2%, 62.5% and 74.0%, respectively, gradually increasing with follow-up time (Figure 1). The median time to remission was 24.0 months (95%CI: 14.0-34.0 months). Univariate analysis indicated that only higher Ki-67 index (P=0.044) was significant favorable factors for endocrine remission. There was no significant correlation between remission and age, sex, tumor size, the frequency of surgery, medication prior RT. The hormone levels (F, ACTH and 24hUFC prior RT) were divided into high and low groups by the median value, and were also not found to be associated with endocrine remission (Table 2). Since only Ki-67 was significant in the univariate analysis and all other parameters were far from significant, a multivariate analysis was no longer performed. Figure 1 Figure 1 Endocrine remission rate during the follow-up after RT. Table 2 Table 2 Univariate predictors of endocrine remission. Endocrine recurrence was found in 5 patients till the last follow-up, with an overall recurrence rate of 13.5% (5/37). The median time to recurrence after reaching endocrine remission was 22.5 months. The recurrence-free rate at 1, 2, 3 and 5 years after endocrine remission was 98.2%, 93.9%, 88.7% and 88.7%, respectively (Figure 2). Figure 2 Figure 2 Recurrence free rate after endocrine emission. Tumor control A total of 51 patients had repeated MRI examinations before and after treatment. During the follow-up, 20 patients showed reduction and 30 patoents remained stable in tumor size, with a tumor control rate of 98%. Only 1 patient showed enlargement tumor 1 year after RT, with F, ACTH and 24hUFC increase continuously. Complications At the last follow-up, 16 patients developed new onset hypopituitarism after RT. The overall incidence of RT-induced hypopituitarism was 22.9%. Hypothyroidism was the most common of hypopituitarism (8 patients), followed by HH (7 patients), adrenal insufficiency (4 patients) and GHD (3 patients). Only 1 patient (1.3%) with systemic lupus erythematosus (SLE) comorbidity complained of progressively worsening visual impairment during the follow up. No cerebrovascular event or radiation associated intracranial malignancy was found in our cohort. Discussion Efficacy and radiotherapy techniques RT has been emerged as an effective second-line treatment for CD for many years. Although conventional fractionated RT has been used for a long experience in patients with CD, study on the modern precise radiotherapy, particularly IMRT, is rare and reports limited evidence on its long-term treatment outcome. IMRT can be implemented in many different techniques, such as fixed-field intensity-modulated radiotherapy (FF-IMRT), volumetric-modulated arc therapy (VMAT) and tomotherapy. Compared with conventional RT, IMRT allows a better target volume conformity while preserves adequate coverage to the target (14, 15). Our study reported that IMRT for CD has an endocrine remission rate of 74.0% at 5 years, with a median time to remission of 24.0 months (95%CI: 14.0-34.0 months). The endocrine remission rate at 5 years was comparable to those reported in previous series of FRT, with a median time to remission within the reported range (4.5-44 months) (9, 16–18) (Table 3). Compared with SRS in treating CD, the endocrine remission rate and median time to remission were also similar. Pivonello et al (19) summarized 36 studies of SRS for CD between 1986 to 2014, the mean endocrine remission rate was 60.8% and the median time to remission was 24.5 months. Tumor control rate was 98% in our cohort, only one patient showed enlargement tumor with elevating hormones. This local control rate was also comparable to that reported in a series of pituitary adenoma treated with FRT (93-100%) and SRS(92-96%) (9, 16–18, 20, 21). Indeed, despite the lack of controlled studies about SRS and FRT in treating CD, many reviews that summarize the biochemical control and tumor contral of both are similar (2, 6, 19). Table 3 Table 3 Literature review of FRT and SRS in patients with CD published in recent years. The overall endocrine recurrence rate in our study was 13.5%, with a median time to recurrence of 22.5 months. We, for the first time, reported the actuarial recurrence free rate at 1, 2, 3 and 5 years in CD patients treated with IMRT. The recurrence free rate at 3 and 5 years was 88.7% in our study. Outcomes were comparable to those reported in patients treated with conventional RT or SRS, with a mean recurrence rate and a median recurrence time of 15.9% (range, 0-62.5%) and 28.1 months, or 12.3% (range, 0-100%) and 33.5 months, according to a review conducted by Pivonello et al (19). At 2020, we reported the outcomes of pituitary somatotroph adenomas treated with IMRT at our institution (20). Compared with pituitary somatotroph adenomas, CD has a similar 5-year remission rate (74.0% vs 74.3%) but a shorter median time to remission (24.0m vs 36.2m) (Figure 3). The tumor contral rates were similar, at 98% and 99%, respectively. The endocrine recurrence rate was significantly different, with CD being about one-fold higher than the pituitary somatotroph adenoma (13.8% vs 6.1%). This may be due to the majority of microadenomas in CD and that of macroadenomas in pituitary somatotroph adenomas. Figure 3 Figure 3 Endocrine remission rate of CD and pituitary somatotroph adenoma. Predictors of endocrine remission In the univariate analysis, we found that only Ki-67 index ≥ 3% was correlated with better endocrine remission (p=0.044). Cortisol levels before RT and tumor size were not predictors of endocrine remission. For surgery in treating CD, higher preoperative ACTH level was considered as unfavorable prognostic factor for endocrine remission in a few studies (22, 23). For radiotherapy, some previous studies also have reported a faster endocrine remission in patients with lower serum cortisol level. Minniti et al. reported that hormone level was normalized faster in patients with lower urinary and plasma cortisol level at the time of RT (16). Apaydin also reported that low postoperative cortisol and 1mg DST was a favorable factors for faster remission in patients treated with gamma knife surgery (GKS) and hypofractionated radiotherapy (HFRT), although no significant relationship was found between remission rate and plasma cortisol level prior RT in both studies (9, 16). Castinetti et al. found that initial 24hUFC was a predicative factor of endocrine remission in patients treated with GKS, which was not reported in our cohort treated with IMRT (24). However, the discrepancy between the results can be attributed to various factors, including selection bias of retrospective study, duration of follow-up, endocrine remission criteria and cut-off value. Tumor size before RT was considered as a significant predictor for endocrine remission in some published series of patients treated with SRS. Jagannathan et al. reported a significant relationship between preoperative tumor volume and endocrine remission in patients with CD treated with GKS (25). However no significant correlation between tumor size and endocrine remission was found in series of patients treated with FRT (5, 9, 16, 17). But our study found no significant correlation between tumor size (visible or no-visible residual tumor on MRI) before RT and endocrine remission. The frequency of surgery before RT was also not found to be associated with endocrine remission in our study, which reached a similar conclusion with some previous studies (9, 17, 18, 26). Abu Dabrh et al. reported a higher remission rate in patients receiving TSS prior RT in their meta-analysis (5). Similar result was also reported in a review on the treatment outcome of GKS in patients with CD, that postoperative GKS was more effective than primary GK (19). However, analysis on this parameter was difficult in our cohort considering the low number of patients who received IMRT as the first-line treatment. Reports on the effect of medical treatment on endocrine remission have been controversial. Some studies reported a negative effect of medical treatment at the time of SRS on endocrine remission in patients with CD. Castinetti et al. showed a significant higher rate of endocrine remission in patients who were not receiving ketoconazole at the time of GKS, compared to those who were (27). Sheehan et al. also found a significantly shorter time to remission in patients who discontinued ketoconazole at the time of GKS (28). However, no such correlation was found in patients treated with FRT (9, 17). Like previous studies on FRT, we also noted no significant relationship between preradiation use of medication and endocrine remission, but our statistical analysis may be hindered by the low proportion of patients undergoing medical treatment before RT. Moreover, the anticortisolic drugs used in previous studies were mainly ketoconazole or cabergoline, while most of our patient have received pasireotide, whose effect have not been well-studied yet. Further studies are necessary to understand the effect of somatostatin receptor ligands on the outcome of radiotherapy in patients with CD. Complications Hypopituitarism is the most common complication secondary to radiotherapy, with the rate of new-onset hypopituitarism ranging widely in previous report. Pivonello et al. reviewed series of CD patients who were treated with conventional RT with a follow-up of at least 5 years (19). The reported mean and median rates of hypopituitarism were 50% and 48.3%, respectively (range, 0-100%). As regards FRT, the overall rate of new-onset hypopituitarism was 22.2-40% at a median follow-up ranging from 29-108 months, with both incidence and severity increasing with longer follow-up (9, 16–19). The incidence of hypopituitarism in our series was 22.9%, which was within the reported range of new onset hypopituitarism after FRT. Lower rate of hypopituitarism after SRS compared to conventional RT has been recognized in previous reviews (2, 6). Our study showed that new onset hypopituitarism was less prevalent after IMRT than after conventional RT. This can be attributed to a higher precision in contouring the target volume and OARs, allowing these modern radiotherapy techniques to provide a better protection to hypothalamus-pituitary axes. In previous studies, potential risk factors for new onset hypopituitarism included suprasellar extension, higher radiation dose to the tumor margin and lower isodose line prescribed (29, 30). Sensitivity of individual hormonal axes to RT varies in different series. In our study, central hypothyroidism was the most common individual axis deficiency, followed by HH, adrenal insufficiency and GHD. This sequence was similar to that reported by Sheehan et al., whose series included 64 CD patients treated with SRS, as well as some other series (29, 31). It is noted in some studies that GHD is the most vulnerable axes (19, 32, 33). Limited number of patients undergoing stimulation test may underestimate the prevalence of GHD in our study and some previous series, and longer follow-up is needed to generate a more accurate, time-dependent rate of new onset hypopituitarism. In our study, only one patient complained of mild visual impairment, which was comparable to the rate ranging from 0-4.5% in previous series of FRT treating pituitary adenoma (9, 16–18, 26, 32, 34, 35). This patient had concomitant SLE and the associated microangiopathy may render the optic nerve intolerant to radiotherapy. Cranial nerve damage was acknowledged as an uncommon complication, with an estimated risk of vision deterioration below 1% if single radiation dose was no more than 2.0 Gy and total dose no more than 45-50 Gy (2, 36). The actuarial rate of optic neuropathy at 10 years was 0.8% in a series containing 385 patients with pituitary adenoma (37). No patient in our cohort developed cerebrovascular accident or secondary brain tumor. This finding was consistent with the low actuarial prevalence of these complications reported in other published series of FRT. Secondary brain tumor was extremely rare after SRS, with an overall incidence of 6.80 per patients-year, or a cumulative incidence of 0.00045% over 10 years in a multicenter cohort study containing 4905 patients treated with GKS (38). Ecemis et al. reviewed cohort studies of conventional RT in treating pituitary adenoma from 1990 to 2013 and found that 1.42% of patients developed secondary brain tumor, with a latency period of 19.6 years for meningioma, 11 years for glioma and 9 years for astrocytoma (39). As for cerebrovascular accident, Minniti et al. reported two patients (in a total of 40 patients) who had stroke 6 and 8 years after FRT (16). Data was still limited for FRT. Considering the low incidence and long latency period, large, controlled cohort study with long follow-up of FRT is still needed to accurately evaluate these complications. Limitations Our study has several limitations. First, not all patients rigorously followed regular follow-up time points, making time-dependent statistical analysis less accurate. In addition, the excessively low number of cases with 1mg DST as the endocrine remission criterion may affect the accuracy of the remission rate.Moreover, a median follow-up time of about 3 years hampered evaluation on some late complications, including cerebrovascular events and secondary brain tumor. In conclusion, our study revealed that IMRT was a highly effective second-line therapy with low side effect profile for CD patients, and it’s endocrine remission, tumor control and recurrence rates were comparable to previous reports on FRT and SRS. Data availability statement The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author. Author contributions 1. Conceptualization: FZ and HZ 2. Data curation: XL and ZX. 3. Funding acquisition: FZ. 4. Investigation: XL and ZX 5. Methodology: WW 6. Resources: XL, SS and XH 7. Validation: LL and HZ. 8. Writing – original draft: ZX 9. Writing – review and editing: XL. All authors contributed to the article and approved the submitted version. Funding Supported by grants National High Level Hospital Clinical Research Funding (No.2022-PUMCH-B-052) and National Key R&D Program of China, Ministry of Science and Technology of the People’s Republic of China.(Grant No. 2022YFC2407100, 2022YFC2407101). Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher’s note All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. References 1. Katznelson L. 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This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. *Correspondence: Fuquan Zhang, zhangfq@pumch.cn †These authors have contributed equally to this work Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher. From https://www.frontiersin.org/articles/10.3389/fendo.2023.1241669/full

Abstract Background As the population ages, the number of elderly patients with an indication for pituitary surgery is rising. Information on the outcome of patients aged over 75 is limited. This study reports a large series assessing the feasibility of surgical resection in this specific age range, focusing on surgical complications and postoperative results. Methods A retrospective cohort study of patients with pituitary adenomas and Rathke’s cleft cysts was conducted. All patients were aged 75 years or over and treated by a single expert neurosurgical team. A control population included 2379 younger adult patients operated by the same surgeons during the same period. Results Between 2008 and 2022, 155 patients underwent surgery. Indication was based on vision impairment in most patients (79%). Median follow-up was 13 months (range: 3–96). The first surgery was performed with an endoscopic transsellar approach, an extended endonasal transtuberculum approach and a microscopic transcranial approach in 96%, 3%, and 1% of patients, respectively. Single surgery was sufficient to obtain volume control in 97% of patients. From Kaplan-Meier estimates, 2-year and 5-year disease control with a single surgery were 97.3% and 86.2%, respectively. Resection higher than 80% was achieved in 77% of patients. No vision worsening occurred. In acromegaly and Cushing’s disease, endocrine remission was obtained in 90% of non-invasive adenomas. Surgical complications were noted in 5% of patients, with 30-day mortality, hematoma, cerebrospinal fluid leak, meningitis, and epistaxis occurring in 0.6%, 0.6%, 1.9%, 0.6%, and 1.3% respectively. New endocrine anterior deficits occurred in only 5%, while no persistent diabetes insipidus was noted. Compared with younger patients, the complication rate was not statistically different. 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Am J Med 135(1):39–48 Article PubMed Google Scholar Download references Author information Authors and Affiliations Department of Neurosurgery, La Pitié-Salpêtrière University Hospital, Assistance Publique-Hôpitaux de Paris, 47-83 Boulevard de L’Hôpital, 75013, Paris, France Marta Garvayo, Vincent Reina, Stephan Gaillard & Bertrand Baussart Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland Marta Garvayo & Mahmoud Messerer Université Paris Cité, CNRS, INSERM, Institut Cochin, 75014, Paris, France Chiara Villa, Anne Jouinot, Jérôme Bertherat, Guillaume Assié & Bertrand Baussart Department of Neuropathology, La Pitié-Salpêtière University Hospital, AP-HP, Sorbonne University, Paris, France Chiara Villa Department of Endocrinology, Assistance Publique-Hôpitaux de Paris, Hôpital Ambroise Paré, Boulogne Billancourt, France Mirella Hage & Marie-Laure Raffin-Sanson Université de Versailles Saint-Quentin-en-Yvelines UFR Des Sciences de La Santé Simone Veil, Montigny-Le-Bretonneux, France Mirella Hage & Marie-Laure Raffin-Sanson Department of Endocrinology and Reproductive Medicine, Centre de Référence Des Maladies Endocriniennes Rares de La Croissance Et du Développement, CRMERC, Endo-ERN, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France Carine Courtillot & Anne Bachelot Université Paris-Saclay, Inserm, Physiologie Et Physiopathologie Endocriniennes, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Service d’Endocrinologie Et Des Maladies de La Reproduction, Centre de Référence des Maladies Rares de L’Hypophyse, Le Kremlin-Bicêtre, France Peter Kamenicky & Philippe Chanson Sorbonne University, Endocrine Unit, Reproductive Medicine, Centre de Référence Des Maladies Endocriniennes Rares de La Croissance Et du Développement (CRMERC), Endo-ERN (Id 739527), Saint-Antoine Hospital, AP-HP, Paris, France Camille Vatier & Sophie Christin-Maitre Inserm UMRS938, Saint-Antoine Research Center, Sorbonne University, 75012, Paris, France Camille Vatier INSERM UMR-833, Trousseau Hospital, Paris, France Sophie Christin-Maitre Department of Endocrinology, Center of Rare Adrenal Diseases, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Paris, France Jérôme Bertherat & Guillaume Assié Corresponding author Correspondence to Bertrand Baussart. Ethics declarations Conflict of interest The authors declare no competing interests. Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Reprints and Permissions From https://link.springer.com/article/10.1007/s00701-023-05809-x

Introduction to Endocrinology Endocrinology is a medical specialty that focuses on the diagnosis and treatment of diseases related to hormones. Endocrinologists are experts in managing and treating diseases related to the endocrine system, which includes the thyroid, pituitary, adrenal glands, and pancreas. Endocrinologists are trained to diagnose and treat conditions such as diabetes, thyroid disorders, pituitary disorders, and other conditions related to hormones. Endocrinologists also specialize in reproductive health and fertility issues, including PCOS. Endocrinology is a complex field that requires a deep understanding of the endocrine system and its role in regulating the body’s hormones. Endocrinologists must be able to interpret laboratory tests and understand the underlying causes of endocrine disorders. They must also be able to develop individualized treatment plans to address the specific needs of each patient. Diagnosing PCOS and Diabetes Endocrinologists are experts in diagnosing and managing PCOS and diabetes. PCOS is a hormonal disorder that affects the ovaries, and it is characterized by irregular menstrual cycles, excess facial and body hair, and infertility. To diagnose PCOS, an endocrinologist will perform a physical exam and order laboratory tests to measure hormone levels. The endocrinologist will also ask the patient about her symptoms and family history to determine if PCOS is the cause. Diabetes is a chronic condition that affects the body’s ability to process sugar. To diagnose diabetes, an endocrinologist will perform a physical exam and order laboratory tests to measure blood sugar levels. The endocrinologist may also order imaging tests to check for signs of diabetes-related complications. Treating PCOS and Diabetes Once the endocrinologist has diagnosed PCOS or diabetes, they will develop an individualized treatment plan to address the patient’s specific needs. For PCOS, the endocrinologist may recommend lifestyle changes such as weight loss, exercise, and dietary changes to help manage symptoms. The endocrinologist may also prescribe medications to regulate hormone levels and improve fertility. For diabetes, the endocrinologist may recommend lifestyle changes such as weight loss, exercise, and dietary changes to help manage blood sugar levels. The endocrinologist may also prescribe medications to help regulate blood sugar levels. In addition, the endocrinologist may recommend regular check-ups to monitor the patient’s progress and to adjust the treatment plan if needed. Conclusion Endocrinology plays an important role in managing PCOS and diabetes. Endocrinologists are experts in diagnosing and treating these conditions, and they are trained to develop individualized treatment plans that address the specific needs of each patient. By working with an endocrinologist, patients can get the help they need to manage their PCOS or diabetes and achieve their health goals. Endocrinology is a complex field that requires a deep understanding of the endocrine system and its role in regulating the body’s hormones. An endocrinologist can help patients with PCOS and diabetes manage their conditions and achieve their health goals. By working with an endocrinologist, patients can get the help they need to manage their PCOS or diabetes and achieve their health goals. From https://www.diabetesincontrol.com/the-role-of-endocrinology-in-managing-polycystic-ovary-syndrome-and-diabetes/

Abstract Background 18Fluorine-Fluoro-deoxy-glucose (18F-FDG) positron emission tomography (PET) is widely used for diagnosing various malignant tumors and evaluating metabolic activities. Although the usefulness of 18F-FDG PET has been reported in several endocrine diseases, studies on pituitary disease are extremely limited. To evaluate whether dexamethasone (DEX) suppression can improve 18F-FDG PET for the localization of adrenocorticotropic hormone-secreting adenomas in the pituitary gland in Cushing’s disease (CD). Methods We included 22 patients with CD who underwent PET imaging before and after DEX administration. We compared the success rates of PET before and after DEX suppression, magnetic resonance imaging (MRI), and bilateral inferior petrosal sinus sampling (BIPSS). We determined the final locations of adenomas based on intraoperative multiple-staged resection and tumor tissue identification using frozen sections. Standardized uptake value (SUV) were analyzed to confirm the change of intensity of adenomas on PET. Results Twenty-two patients were included (age at diagnosis: 37 [13–56] years), and most were women (90.91%). Pituitary adenomas compared to normal pituitaries showed increased maximum SUV after DEX suppression but without statistical significance (1.13 versus. 1.21, z=-0.765, P = 0.444). After DEX suppression, the mean and maximum SUV of adenomas showed a positive correlation with nadir cortisol levels in high-dose DEX suppression test (Rho = 0.554, P = 0.007 and Rho = 0.503, P = 0.017, respectively). In reference sites, mean SUV of cerebellum was significantly decreased (7.65 vs. 6.40, P = 0.006*), but those of the thalamus and gray matter was increased after DEX suppression (thalamus, 8.70 vs. 11.20, P = 0.010*; gray matter, 6.25 vs. 7.95, P = 0.010*). Conclusion DEX suppression did not improve 18F-FDG PET/CT localization in patients with CD. Introduction Cushing’s disease (CD) is a rare endocrine disease that results from chronic exposure to high cortisol levels because of adrenocorticotropic hormone (ACTH)-secreting pituitary tumors and is associated with increased morbidity and mortality. It represents approximately 80% of all cases of endogenous hypercortisolism [1,2,3]. Accurate localization of primary lesions in CD leads to improved remission rates and reduced adverse events following surgery [4, 5]. A biochemical remission rate of 90–100% has been reported when tumors are localized before surgery, but it can decrease to 50–60% when surgery is performed when the location of the tumor is unknown in patients with CD [6,7,8]. Currently, magnetic resonance imaging (MRI) is the gold standard for detecting pituitary adenomas. Nevertheless, modern MRI modalities, including dynamic or volumetric sequences, can reliably detect corticotrophic adenomas in 50–90% cases of CD [9,10,11,12]. This indicates that complementary imaging strategies are required to improve the localization of primary lesions in CD. One of the most characteristic features of corticotrophic adenomas is a compromised response to negative glucocorticoid feedback, which defines glucocorticoid resistance [13]. ACTH activates the adrenal glands to synthesize and secrete cortisol, which in turn negatively modulates the release of ACTH from the pituitary gland and corticotrophin-releasing hormone (CRH) and vasopressin from the hypothalamus [1]. In CD, a corticotrophic tumor is only partially sensitive to the inhibitory feedback exerted by cortisol, which in turn is not regulating its own production and secretion of ACTH, resulting in both excessive ACTH and cortisol levels. Glucocorticoid resistance is caused by multiple factors including glucocorticoid receptor availability, splice variant expression and affinity, and imbalanced glucocorticoid receptor signaling [14, 15]. Radioactive 18 F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) often demonstrates increased fluorodeoxyglucose (FDG) uptake in nonfunctioning and hormone-secreting pituitary adenomas [16,17,18]. In large observational studies of whole-body 18F-FDG positron emission tomography (PET) scans, incidental sellar 18F-FDG uptake was found in < 1% of cases, and this sign is highly specific for pituitary adenomas [19,20,21]. 18F-FDG PET imaging can detect up to 40% of corticotropinomas, some as small as 3 mm, and the rate of PET detection of corticotropinomas can be increased by CRH stimulation [9, 22]. Here, we evaluated whether DEX suppression could improve the localization of ACTH-secreting adenomas using 18F-FDG PET/CT in patients with CD. The rationale for this is as follows. FDG uptake of corticotrophic adenomas is less suppressed than that of normal pituitary glands after DEX suppression due to glucocorticosteroid resistance. Materials and methods Study design and population In this retrospective cohort study, we enrolled all patients with CD who underwent two rounds of 18F-FDG-PET/CT before and after 8-mg DEX suppression and pituitary MRI before surgery. Total 22 patients were included in this study, of which thirteen had bilateral inferior petrosal sinus sampling (BIPSS) results. All patients were diagnosed with CD by staff of the Department of Endocrinology and/or Neurosurgery at Severance Hospital between 2014 and 2015. The diagnosis of CD was confirmed based on biochemical test results, including the cortisol, 24-hour urine free cortisol (24 h UFC), and serum ACTH levels, overnight dexamethasone suppression test (ON DST) results, and high-dose dexamethasone suppression test (HD DST) results. Immediate remission was defined as hypocortisolism (serum cortisol level < 1.8 µg/dL) within the first 7 days after surgery. Delayed remission was defined as the achievement of hypocortisolism within 6 months, although immediate remission was not confirmed. If patients showed elevated postoperative cortisol levels and needed additional treatment within 6 months after surgery, we defined them as having persistent disease [23,24,25]. A serum cortisol concentration > 1.8 µg/dL for 8 h in the morning after 1 mg of DEX was given at midnight was considered to be a positive result in the ON DST [26]. Suppression of the serum cortisol level by > 50% for 6 h after 2 mg of DEX was administered for 2 days was defined as the suppression on the HD DST [26]. The final diagnosis was confirmed using surgical pathology and clinical follow-up. Endocrinological evaluation All laboratory analyses were performed at the Department of Laboratory Medicine, Severance Hospital. Preoperative cortisol and 24 h UFC were measured by chemiluminescence immunoassay using an automated UniCel DXC880i Synchron analyzer (Beckman Coulter, Pasadena, CA, USA; coefficient of variation [CV] ± 15 nmol/L at < 100 nmol/L and ± 15% at > 100 nmol/L). Preoperative ACTH levels were analyzed by electrochemiluminescence immunoassay using the Roche Cobas 6000 analyzer (Roche Diagnostics GmbH, Mannheim, Germany; CV ± 2.0 pmol/L at < 20 pmol/L and ± 10% at > 20 pmol/L). The serum cortisol concentration at 8:00 am the following day after 1 mg of DEX was administered at midnight was considered positive on the ON DST. We determined the result as “suppression” by the cortisol level of < 1.8 µg/dL. A serum cortisol level suppressed by > 50% of the original level after 6 hourly administrations of 2 mg of DEX for 48 h was defined as suppression on the HD DST [27]. 18F-FDG PET/CT evaluation PET/CT was performed using a GEADVANCE PET scanner (GE, Milwaukee, WI, USA) after the intravenous injection of 7–9 mCi of 18F-FDG. All patients fasted for at least 6 h before the test. Emission scanning was continued for 15 min (4.25-mm axial spatial resolution, 4.8-mm transaxial spatial resolution). Transmission scans were performed for 8 min using triple Ge-68 rod sources to correct attenuation. Gathered data were reconstructed in a 128 × 128 × 35 matrix with a pixel size of 1.95 × 1.95 × 4.25 mm by means of a filtered back-projection algorithm employing a transaxial 8.5-mm Hanning filter and 8.5-mm axial ramp filter. Two specialists independently interpreted the encoded baseline PET images, and after a two-week period, they interpreted the encoded post DEX suppression PET images. Each specialist was blinded to MRI imaging, clinical characteristics, and surgical outcomes of these subjects. Each was tasked with determining whether the PET image indicated a “negative” or “positive” result for pituitary adenoma and its location on a high-resolution computer screen. The scan after DEX suppression was performed 24 h after the oral administration of 8 mg of DEX using the same procedures as for the baseline PET/CT scan. 18F-FDG uptake analysis The Region of interest (ROI) was drawn using MIM software (version 6.5, Software INc., Cleveland, OH, USA) (Fig. 1). PET images were reviewed by experienced by an experienced specialist. The pituitary gland was identified and a circular ROI was drawn. A fixed ROI with a 3-mm diameter was used for all patients. The ROI was placed on the lesion with the highest FDG uptake. If there was no significantly increased FDG uptake, the same sized circular ROI was drawn on the suspected adenoma location. For the normal pituitary gland, the same sized 3 mm ROI was used. Fig. 1 Images of ROI for pituitary adenoma on18F-FDG PET scan Example of ROI definition in pituitary adenomas of 18F-FDG PET scan of the patients with CD. We draw the fixed circular ROI with a 3-mm diameter for pituitary adenomas (red circle) and normal pituitary gland (green circle) ROI, Reason of interest; 18F-FDG PET, 18 F-fluorodeoxyglucose positron emission tomography; CD, Cushing disease Full size image The mean standardized uptake value (SUVmean) and maximum SUV (SUVmax) for pituitary adenomas and normal pituitary glands were automatically measured using MIM, version 6.5 (Software Inc., Cleveland, OH, USA). The standardized uptake value (SUV) of the volume of interest was calculated as follows: (decoy-corrected activity (kBq) / volume (mL)) / (injected dose (kBq) / body weight (g)). SUVmean and SUVmax of pituitary adenomas were divided into the SUVmean of normal pituitary glands for adjustment. We used the ratio of SUVmax to SUVmean to analyze the homogeneity of the pituitary adenomas. MRI evaluation All patients underwent pituitary MRI with a 3.0-Tesla scanner (Achieva, Philips Medical Systems, Best, the Netherlands). Imaging protocols included T1-weighted imaging, T2-weighted imaging, and delayed gadolinium-enhanced T1-weighted imaging. The extent, location, and sizes of the pituitary tumors were reviewed based on official records determined by radiologists. Pituitary tumors were classified based on radiological findings using MRI of the sellar and parasellar regions. Type I refers to tumors < 1 cm in diameter limited to the sella. Type II tumors extend into the suprasellar space, < 1 cm from the diaphragm. Type III includes tumors extending into the suprasellar space > 1 cm from the diaphragm or sphenoid sinus and encroaching on the internal carotid arteries. Lastly, type IV refers to adenomas with obvious invasion into the cavernous sinus, as shown on MRI, and into the medial dural wall of the cavernous sinus, as confirmed during surgery. BIPSS Before surgery, BIPSS was performed to confirm the cause of CD and lateralize the tumors. A catheter was placed in patients using a unilateral femoral venous approach and 3 cc of blood was collected from the peripheral (P) and both inferior petrosal sinuses (IPS) [28]. CRH at a dose of 1 µg/kg was administered, and peripheral and petrosal samples were drawn after 5 and 10 min, respectively. The catheters and sheath were removed, and the groin was compressed under pressure until venous hemostasis was achieved. The IPS:P prolactin ratio was calculated at each time point to confirm the accuracy of the inferior petrosal venous sampling. A value of ≥1.8 was considered successful IPS catheterization. The prolactin-normalized ACTH ratio was calculated by dividing the dominant ACTH IPS:P ratio by the concurrent and ipsilateral IPS:P prolactin ratio. A value of ≥1.3 was considered diagnostic of CD. An intersinus ACTH ratio of ≥1.4 either at baseline or after stimulation was used for lateralization of the pituitary adenoma [29]. Location of the adenoma The final assignment of the true location of the pituitary adenoma was based on intraoperative multiple stage resection and tumor tissue identification using frozen sections. Surgically identified adenomas were histologically evaluated and stained for ACTH immunoreactivity. In cases of multiple specimens obtained during the procedure, the true location of the adenoma was assigned based on the original site of the specimen containing the adenoma [30]. Statistical analysis Data are presented as medians (ranges) or numbers (percentages). The baseline characteristics of the patients were compared using Kruskal–Wallis’ test with Dunn’s procedure for nonparametric continuous variables. Categorical variables were compared using Fisher’s exact test. Spearman’s correlation coefficients were used to determine the correlation between FDG uptake and hormone levels. Wilcoxon’s signed-rank test was used to identify changes in the SUV after DEX administration. The interobserver agreement for image analysis was assessed using κ statistics. κ values were categorized as follows: κ < 0.20 indicated poor agreement, κ of 0.21–0.40 indicated fair agreement, κ of 0.41–0.60 indicated moderate agreement, κ of 0.61–0.80 indicated good agreement, and κ > 0.81 indicated excellent agreement [31]. Statistical significance was set at a two-sided P < 0.05. All statistical analyses were performed using SPSS software (IBM Corp., Armonk, NY, USA). Results Patient characteristics We enrolled all patients with CD who underwent two rounds of the 18F-FDG PET/CT with or without DEX suppression and sellar MRI before transsphenoidal adenectomy (TSA). Twenty-two patients were included (age at diagnosis: 37 [13–56] years), and most were women (90.91%). Patients’ baseline characteristics are shown in Table 1. There were 16 microadenomas and 6 macroadenomas. Immediate remission was achieved in 81.82% of the patients and delayed remission in 13.64%; one patient showed persistent disease after TSA. The median preoperative 24 h UFC, serum ACTH, and cortisol levels were 443.35 (93.00–4452.00) µg/day, 36.16 (6.00–92.00) pg/mL, and 18.55 (6.00–40.00) µg/dL. The size of pituitary adenomas on MRI was 7.85 (2.00–28.00) mm. The Ki-67 index of 47.06% of adenomas ranged from 1 to 2, that of 35.29% was below 1, and that of 17.65% was 2 or higher. Overall, 75.00% of the adenomas were classified as Knosp grade 0, 5.00% as grade 1, 5.00% as grade 3b, and 15.00% as grade 4. In total, 77.27% (17/22) of patients had an ACTH-staining adenoma. Only one patient showed unsuppressed cortisol levels on the HD DST. Table 1 Patients’ imaging and clinical characteristics Full size table MRI negative but PET positive case Two patients showed negative MRI results, and one of them showed FDG uptakes on both 18F-FDG PET scans at baseline and after DEX suppression. A 26-year-old man visited our hospital complaining of weight gain and was diagnosed with ACTH-dependent CD. Cortisol secretion was suppressed on the HD DST; however, sellar MRI did not reveal any suspicious lesions. BIPSS revealed a central tumor (central/peripheral ACTH level of 36.25 after CRH stimulation) lateralized to the right side of the pituitary gland. The patient underwent 18F-FDG-PET/CT before and after DEX suppression to identify the primary lesions. Baseline PET/CT showed diffused FDG uptake with an SUVmax of 1.03 at the pituitary fossa but failed to localize the tumor. After DEX treatment, focal FDG uptake with an SUVmax of 1.06 remained at the right side of the pituitary fossa, which resulted in the successful localization of the corticotrophic adenoma. The MRI and PET/CT images of this case are presented in Fig. 2A–C. During TSA, the surgeon identified solid tumor-like tissues on the right side of the pituitary gland and successfully removed them. Results of pathology and ACTH immunohistochemistry were negative, but the patient achieved immediate biochemical remission and CD-related symptoms were relieved after surgery. We followed the patient for 98 months after the surgery and confirmed that he had lived without recurrence. Fig. 2 Images of a corticotroph with negative MRI but positive18 F-FDG PET/CT after DEX suppression An MRI-negative adenoma was detected on 18F-FDG PET/CT at baseline and after DEX suppression. In this patient, the pituitary adenoma was visible on PET scans at baseline (B) and after DEX suppression (C) at the same location, as confirmed by the surgeon A. Co-registered baseline 18F-FDG PET/CT and MRI images. Diffuse 18F-FDG uptake is detected in the pituitary fossa with an SUVmean of 0.86 and SUVmax of 1.03, but there was failure to localize the adenoma on baseline 18F-FDG PET/CT. B. Co-registered 18F-FDG PET/CT and MRI images after DEX suppression. 18F-FDG uptake is not suppressed in the right side of the pituitary gland with an SUVmean of 1.03 and SUVmax of 1.06. 18F-FDG PET/CT after DEX suppression was successful in localizing the right-sided corticotrophic adenoma C. MRI image. There is no suspicious lesion in the pituitary gland ACTH, adrenocorticotropic hormone; MRI, magnetic resonance imaging; 18F-FDG, 18 F-fluorodeoxyglucose; PET/CT, positron emission tomography/computed tomography; DEX, dexamethasone; SUVmean, mean standardized uptake value; SUVmax, maximum standardized uptake value Full size image Change of 18F-FDG uptake after DEX suppression We included 18 pituitary adenomas that were successfully localized using PET/CT after DEX suppression, and analyzed the change of SUV for 15 adenomas, excluding outliers with SUV over 2.00. The results are presented in Fig. 3A and B. The SUVmean of adenomas did not changed after DEX suppression compared to normal pituitary glands (SUVmean of adenoma/SUVmean of normal pituitary glands: 1.13 [0.85–1.35] vs. 1.14 [0.87–1.39], z=-1.288, P = 0.198). DEX suppression increased SUVmax of adenomas compared to normal pituitary glands but without statistical significance (SUVmax of adenoma/SUVmean of normal pituitary glands: 1.13 [0.96–1.52] vs. 1.21 [0.97–1.56], z=-0.765, P = 0.444). Fig. 3 Changes in the SUVs of corticotrophs between18F-FDG PET/CT before and after DEX suppression The SUVmean (A) and SUVmax (B) of corticotrophic adenomas are shown in this pairwise analysis. The SUVmean did not changed after DEX suppression from (z=-1.288, P = 0.198). The SUVmax of the corticotrophic adenoma increased from 1.13 to 1.21 (z=-0.765, P = 0.444). In this analysis, the SUVmean and SUVmax of pituitary adenomas were adjusted using the SUVmean of the normal pituitary gland. Colored plots and bars presented median and interquartile range in this figure. We presented the tumors with size larger than 5 mm and SUV adjusted by normal pituitary>1 for blue line SUVmean, mean standardized uptake value; SUVmax, maximum standardized uptake value; DEX, dexamethasone; 18F-FDG, 18 F-fluorodeoxyglucose; PET/CT, positron emission tomography/computed tomography Full size image In Fig. 3, the blue line indicates change in SUV of adenomas larger than 5 mm with higher FDG uptake than the surrounding pituitary parenchyma. For these adenomas, DEX suppression did not change the SUV (SUVmean of adenoma/SUVmean of normal pituitary glands: 1.31 [1.04–2.52] vs. 1.33 [1.05–2.38], z=-0.784, P = 0.433; SUVmax of adenoma/SUVmean of normal pituitary glands: 1.36 [1.02–2.61] vs. 1.40 [1.03–2.65], z=-1.022, P = 0.307). The value of SUV increased in 73.33% adenomas, while the SUVmax increased in 66.67% compared with normal pituitary glands after DEX treatment. Correlation between the hormone level and 18F-FDG uptake Table 2 shows the results of the Spearman correlation analysis of the SUV with preoperative cortisol, ACTH, and nadir cortisol levels on the HD DST. On the baseline 18F-FDG PET scan, the SUVmax of the adenomas did not show any correlation with the levels of three hormones. The SUVmean of adenomas showed a positive correlation with nadir cortisol levels on the HD DST (P = 0.014) and preoperative ACTH levels, with marginal significance (P = 0.062). After DEX suppression, the SUVmax and SUVmean of adenomas had a positive correlation with moderate degrees of nadir cortisol on the HD DST (SUVmax: Spearman Rho = 503, P = 0.017; SUVmean: Spearman Rho = 0.554, P = 0.007). Table 2 Correlation between FDG uptakes and hormone levels Full size table FDG uptake of reference sites after DEX suppression We evaluated the FDG uptake for five types of reference areas (normal pituitary gland, cerebellum, thalamus, white matter, and gray matter) (Table 3). Normal pituitary gland and white matter did not affect the unadjusted SUVmean by DEX suppression (all P >0.05). DEX significantly increased SUVmean of the thalamus and gray matter (thalamus, 8.70 [4.40–22.70] vs. 11.20 [6.40–17.5], P = 0.010*; gray matter, 6.25 [2.50–15.00] vs. 7.95 [5.00–11.90], P = 0.010*). However, SUVmean of the cerebellum significantly decreased after DEX administration (7.65 [4.50–10.80] vs. 6.40 [2.60–12.00], P = 0.006*). Table 3 The change of FDG uptake for reference sites after DEX suppression in the patients with CD Full size table Qualitative analysis by diagnostic modalities for CD The qualitative results of localizing pituitary adenomas in CD patients are shown in Table 4 and Fig. 4. Only 13 patients had BIPSS results. The success rates were 90.91% for MRI and 84.62% for BIPSS. Table 4 Qualitative analysis by diagnostic modalities for CD Full size table Fig. 4 Images for corticotroph adenomas that appear different for localization in18F-FDG PET/CT. 9 mm sized adenoma in the left lateral wing of pituitary gland. It was found in the left lateral wing of the pituitary gland, showing an 18F-FDG uptake in the pituitary fossa with an SUVmean of 1.04 and SUVmax of 1.07. However, after DEX suppression, the left side of the pituitary gland did not exhibit suppressed 18F-FDG uptake, with SUVmean 1.05 SUVmax 1.14 (A). Co-registered baseline 18F-FDG PET/CT and MRI images. (B). Co-registered 18F-FDG PET/CT and MRI images after DEX suppression. (C). MRI image 2 mm pituitary adenoma was detected at the left lateral wing, showing diffuse FDG uptake in the pituitary fossa with an SUVmean of 0.86 and SUVmax of 1.04. After DEX suppression, focal FDG uptake was observed, with SUVmean 0.87 and SUVmax 0.98. (D). Co-registered baseline 18F-FDG PET/CT and MRI images. (E). Co-registered 18F-FDG PET/CT and MRI images after DEX suppression. (F). MRI image Full size image In baseline PET scans, the specialists agreed that pituitary adenomas were visible in 17 scans and not visible in 5 scans. They reached a consensus that the tumor was evident in two scans, but there was a discrepancy in their assessments of its location. After DEX suppression, pituitary adenomas showed positive results in 16 scans and negative results in 5 scans. Specialists disagreed on the presence of pituitary adenomas in one case only. Interobserver agreement for localizing adenomas was 0.872 (95%CI: 0.711, 1.033) for baseline PET/CT and 0.938 (95%CI: 0.762, 1.056) for post dexamethasone suppression PET/CT, confirming excellent interobserver agreements, and the result was judged reliable. Among the instances where both opinions agreed, there were no lesions that showed differences in visibility between scans before and after DEX administration. This meant that lesions were either consistently visible or invisible in both scenarios. Discussion We found that DEX suppression did not improve localization of ACTH-secreting pituitary adenomas using 18F-FDG PET/CT. Further, it did not significantly affect FDG uptakes in adrenocorticotrophic adenomas or normal pituitaries in patients with CD. The decision to administer 8 mg dexamethasone was based on the standard high-dose DST, which is internationally recommended for differentiating between ectopic ACTH secretion and CD [26]. This test involved comparing serum cortisol levels at 8 am before and after a single dose of 8 mg dexamethasone administered at 11 pm. Suppression of the serum cortisol level to less than 50% of the baseline value indicated a diagnosis of CD [32, 33]. Previous studies have reported that the 8-mg DST has a sensitivity of 90%, specificity of 100%, accuracy of 96.8%, positive predictive value of 100%, and negative predictive value of 95.5% [34, 35]. Our use of 8 mg dexamethasone was based on the theory that orally administering dexamethasone at this dose can effectively suppress cortisol levels in ACTH-secreting pituitary tumors. We expected that FDG uptake by corticotrophic adenomas would not decrease after DEX administration in patients with CD, and this change may improve the ability to discriminate the tumor location from surrounding tissues on 18F-FDG PET. The SUVmax of pituitary adenomas adjusted for the normal pituitary gland increased from 1.13 to 1.21. However, this change was not statistically significant, and the success rate of localizing corticotrophic adenomas using 18F-FDG PET was not significantly improved after DEX suppression. If the FDG uptake of adenomas changed lesser compared to that of surrounding normal tissues after DEX suppression, the tumor could be more easily visualized because of the difference. In addition, we attempted to evaluate FDG uptakes in other brain areas (cerebellum, thalamus, white matter, and gray matter) according to DEX administration in CD patients. SUVmean of the cerebellum decreased significantly, but that of the thalamus and gray matter increased after DEX suppression. DEX did not change FDG uptake in pituitary adenoma, normal pituitary, or white matter. In a previous study analyzing FDG PET in CD patients, researchers observed varying correlations between FDG uptake and blood cortisol concentration across different brain regions [35, 36]. Nevertheless, the examination did not include an analysis of FDG uptake in the pituitary gland. Additionally, no previous studies have explored the effects of high-dose dexamethasone suppression on brain glucose metabolism in individuals with CD. Further studies are needed to explain the change in FDG uptake after DEX administration in patients with CD. 18F-FDG PET/CT provides information regarding glucose metabolism in the brain in vivo and has been widely used to evaluate brain metabolism in clinical and research settings [37]. Here, the nadir cortisol level on the HD DST correlated with the SUVmean and SUVmax of pituitary adenomas on PET scans after DEX suppression. Cortisol secretion activity is thought to be associated with metabolic activity, and DEX administration altered this. Cortisol levels and FDG uptake in other regions of the brain are correlated in patients with CD, but the correlation between cortisol and FDG uptake in the pituitary glands and/or corticotrophic adenomas themselves has not been discussed [35, 36]. In our study, cortisol levels did not show a correlation with FDG uptake of corticotrophic adenomas, but after DEX suppression FDG uptake showed a correlation with the nadir cortisol level on the HD DST. This indicated that tumors in which cortisol secretion was less suppressed by on the HD DST showed higher FDG uptake than tumors with lower cortisol levels on the HD DST. Although many studies have analyzed FDG uptake of brain tumors, reference sites defined in each study varied without a uniform standard. Gray matter, white matter, or adjacent tumor tissue was defined as a reference site [38,39,40]. We measured SUVmean of normal pituitary tissues, gray matter, white matter, thalamus, and cerebellum as possible references. We defined the SUVmean of normal pituitary tissues as a reference because the localization of adenomas requires an apparent difference between the adenoma and surrounding tissues. Use of fixed ROI to measure FDG uptake caused partial volume effect in this study. However, lesions smaller than 5 mm with intense FDG uptake may still show increased FDG uptake, especially in tumors, albeit with lower SUV values compared with the actual values [41]. This study was performed because pituitary adenomas smaller than 5 mm with higher FDG uptake than the surrounding pituitary parenchyma have been observed in routine clinical practice. To control for the partial volume effect, the analysis was performed again for tumors which were larger than 5 mm and had higher FDG uptake than the surrounding pituitary parenchyma, and the results remained unchanged. PET/CT has been explored as an alternative to or combined with MRI for the localization of corticotrophic adenomas. 18F-FDG PET/CT has a limited role in CD diagnosis, but CRH stimulation can increase its success rate [22, 42]. This study is important for increasing the effectiveness of PET using DEX. In addition, data on DEX effect on brain metabolism in patients with CD will be important for future studies. Conclusions DEX suppression did not improve the localization of 18F-FDG PET/CT in patients with CD. This is considered to have sufficient significance in an effort to increase the diagnostic value of 18F-FDG PET/CT. Data Availability All datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author upon reasonable request. Abbreviations 18F-FDG: 18F-fluorodeoxyglucose PET/CT: Positron emission tomography/computed tomography DEX: Dexamethasone MRI: Magnetic resonance imaging BIPSS: Bilateral inferior petrosal sinus sampling CD: Cushing’s disease SUV: Standardized uptake value ACTH: Adrenocorticotropic hormone CRH: Corticotrophin-releasing hormone FDG: Fluorodeoxyglucose 24hr UFC: 24-hour urine free cortisol ON DST: Overnight dexamethasone suppression test HD DST: High-dose dexamethasone suppression test SUVmean : Mean standardized uptake value SUVmax : Maximum standardized uptake value P: Peripheral IPS: Inferior petrosal sinuses TSA: Transsphenoidal adenectomy References Newell-Price J, Bertagna X, Grossman AB, Nieman LK. Cushing’s syndrome. The Lancet. 2006;367:1605–17. Article CAS Google Scholar Steffensen C, Bak AM, Rubeck KZ, Jørgensen JOL. Epidemiology of Cushing’s syndrome. Neuroendocrinology. 2010;92:1–5. Article CAS PubMed Google Scholar Lacroix A, Feelders RA, Stratakis CA, Nieman LK. 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Author information Authors and Affiliations Endocrinology, Institute of Endocrine Research, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea Kyungwon Kim, Cheol Ryong Ku & Eun Jig Lee Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea Dong Kyu Kim Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea Ju Hyung Moon, Eui Hyun Kim & Sun Ho Kim Contributions Conception and design: EJL, CRK, KK. Acquisition of data: KK, DKK. Analysis and interpretation of data: KK. Drafting the article: KK. Administrative/technical/material support: JHM, EHK, SHK. Study supervision: EJL, CRK. Writing, review, and revision of the manuscript: KK, DKK, SHK, CRK. Final approval of the manuscript: CRK, EJL. Corresponding authors Correspondence to Cheol Ryong Ku or Eun Jig Lee. Ethics declarations Ethics approval and consent to participate The data were collected under the conditions of regular clinical care with approval from the ethics committee of our hospital, and the requirement for written informed consent was waived owing to its retrospective design (institutional review board number: 2023-0110-001). Consent for publication Not applicable. Competing interests The authors declare no conflicts of interest that could be perceived as prejudicing the impartiality of this study. Additional information Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Electronic supplementary material Additional file 1 of Dexamethasone suppression for 18F-FDG PET/CT to localize ACTH-secreting pituitary tumors Additional file 1 Supplementary Material 1 Below is the link to the electronic supplementary material. Supplementary Material 1 Supplementary Material 2 Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Reprints and Permissions Cite this article Kim, K., Kim, D.K., Moon, J.H. et al. Dexamethasone suppression for 18F-FDG PET/CT to localize ACTH-secreting pituitary tumors. Cancer Imaging 23, 85 (2023). https://doi.org/10.1186/s40644-023-00600-8 Download citation Received09 May 2023 Accepted08 August 2023 Published12 September 2023 DOIhttps://doi.org/10.1186/s40644-023-00600-8 Share this article Anyone you share the following link with will be able to read this content: Get shareable link Provided by the Springer Nature SharedIt content-sharing initiative Keywords 18F-FDG PET/CT ACTH-secreting pituitary tumor Cushing’s disease Dexamethasone suppression High-dose dexamethasone suppression test From https://cancerimagingjournal.biomedcentral.com/articles/10.1186/s40644-023-00600-8

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October 7 @ 9:00 am – 1:00 pm The annual Pituitary Patient Education Day is a free event that features presentations from Johns Hopkins pituitary experts. To RSVP, please email pituitaryday@jhmi.edu. Space is limited. One member per family is encouraged to attend. Presentations Pituitary lesions: acromegaly, Cushing, prolactinomas, non-functioning masses and hypophysitis (Roberto Salvatori, M.D.) How pituitary tumors can affect your vision (Amanda Henderson, M.D.) Medications for pituitary disease: what you should know (Amir Hamrahian, M.D.) The nose as the door to the pituitary gland (Masaru Ishii, M.D., Ph.D.) Surgery for small and large pituitary tumors: images from the Johns Hopkins operating room (Gary Gallia, M.D., Ph.D.) Radiation: when is it needed and how (Lawrence Kleinberg, M.D.) Chevy Chase Auditorium 1800 Orleans Street Baltimore, Maryland 21287+ Google Map More info at https://events.hopkinsmedicine.org/event/johns-hopkins-pituitary-patient-education-day/

Key takeaways: Cushing’s syndrome symptoms moderately impact quality of life for adults with the condition. Weight gain, muscle fatigue and menstrual changes decline in severity from diagnosis to follow-up. Adults with endogenous Cushing’s syndrome reported that the condition moderately affects their quality of life and causes them to have symptoms about 16 days in a given month, according to findings published in Pituitary. “Our study aimed to evaluate the ongoing burden of Cushing’s syndrome in order to identify areas of unmet need,” Eliza B. Geer, MD, medical director of the Multidisciplinary Pituitary and Skull Base Tumor Center and associate attending of endocrinology and neurosurgery at Memorial Sloan Kettering Cancer Center, told Healio. “We found that patients with treated Cushing’s continue to experience ongoing symptoms more than half of the days in a given month, miss about 25 workdays per year and need twice the average number of outpatient visits per year, indicating a significant impact on daily function and work productivity. Some of these symptoms, like fatigue and pain, have not been well studied in Cushing’s patients, and need more attention.” Geer and colleagues administered a cross-sectional survey to 55 adults aged 21 years and older who had been diagnosed with Cushing’s syndrome at least 6 months before the survey and were receiving at least one pharmacologic therapy for their disease (85% women; mean age, 43.4 years). The survey was conducted online from June to August 2021. Five patient-reported outcome scales were included. The CushingQoL was used to analyze quality of life, a visual analog scale was included to assess pain, the Brief Fatigue Inventory was used to measure fatigue, the Sleep Disturbance v1.0 scale assessed perceptions of sleep and the PROMIS Short Form Anxiety v1.0-8a scale was used to measure fear, anxious misery, hyperarousal and somatic symptoms related to arousal. Participants self-reported the impact of Cushing’s syndrome on daily life and their physician’s level of awareness of Cushing’s syndrome. Some symptoms decline in severity over time Of the study group, 81% had pituitary or adrenal tumors, and 20% had ectopic adrenocorticotropic hormone-producing tumors; 80% of participants underwent surgery to treat their Cushing’s syndrome. The frequency of reported symptoms did not change from Cushing’s syndrome diagnosis to the time of the survey. The most frequently reported symptoms were weight gain, muscle fatigue and weakness and anxiety. Participants reported a decline in symptom severity for weight gain, muscle fatigue and weakness and menstrual changes from diagnosis to the survey. Though symptom severity declined, none of the three symptoms were entirely eliminated. Adults did not report declines in severity for other symptoms. Hirsutism and anxiety were reported by few participants, but were consistently scored high in severity among those who reported it. There were no changes in patient satisfaction with medications from their first appointment to the time of the survey. “It was surprising that anxiety and pain did not improve with treatment,” Geer said. “A quarter of patients at baseline reported anxiety and this percentage was exactly the same after treatment. Same for pain — nearly a quarter of patients reported pain despite treatment. While the presence of anxiety has been well-documented in Cushing’s patients, pain has not, and needs further study.” Nearly half of primary care providers unable to diagnose Cushing’s syndrome All participants reported having at least one challenge with being diagnosed with Cushing’s syndrome. Of the respondents, 49% said their primary care provider was unable to diagnose their Cushing’s syndrome and 33% initially received the wrong diagnosis. Physicians referred 49% of participants to a specialist, and 39% of adults said their doctor lacked knowledge or understanding of their condition. The study group had a moderate level of quality of life impairment as assessed through the CushingQoL scale. The mean pain score was 3.6 of a possible 10, indicating low levels of pain. Moderate to severe levels of fatigue were reported by 69% of participants. Self-reported sleep and anxiety scores were similar to what is observed in the general population. Participants said sexual activity, self-confidence and life satisfaction were most impacted by a Cushing’s syndrome diagnosis. Adults experienced symptoms a mean 16 days in a typical month and saw their outpatient physician an average of six times per year. Those who were employed said they miss 2 days of work per month, or about 25 days per year, due to Cushing’s syndrome. “Longitudinal assessment of clinically relevant patient-reported outcomes based on validated measures and coupled with biochemical and treatment data is needed in a large cohort of Cushing’s patients,” Geer said. “This will allow us to identify clinically meaningful changes in symptom burden within each patient, as well as predictors of outcomes — which patients improve on which symptoms, and which patients do not feel better despite biochemical normalization. We need to improve our ability to help our patients feel better, not just achieve normal cortisol levels.” For more information: Eliza B. Geer, MD, can be reached at geere@mskcc.org. From https://www.healio.com/news/endocrinology/20230830/adults-with-cushings-syndrome-report-high-burden-of-illness-despite-ongoing-treatment

Abstract Context Cushing’s disease (CD) is rare condition burdened by several systemic complications correlated to higher mortality rates. The primary goal of clinicians is to achieve remission, but it is unclear if treatment can also increase life expectancy. Aim To assess the prevalence of cortisol-related complications and mortality in a large cohort of CD patients attending a single referral centre. Materials and methods The clinical charts of CD patients attending a referral hospital between 2001 and 2021 were reviewed. Results 126 CD patients (median age at diagnosis 39 years) were included. At the last examination, 78/126 (61.9%) of the patients were in remission regardless of previous treatment strategies. Patients in remission showed a significant improvement in all the cardiovascular (CV) comorbidities (p < 0.05). The CV events were more frequent in older patients (p = 0.003), smokers and persistent CD groups (p < 0.05). Most of the thromboembolic (TE) and infective events occurred during active stages of the disease. The CV events were the most frequent cause of death. The standardized mortality ratio (SMR) resulted increased in persistent cases at the last follow-up (SMR 4.99, 95%CI [2.15; 9.83], p < 0.001) whilst it was not higher in those in remission (SMR 1.66, 95%CI [0.34; 4.85], p = 0.543) regardless of the timing or number of treatments carried out. A younger age at diagnosis (p = 0.005), a microadenoma (p = 0.002), and remission status at the last follow-up (p = 0.027) all increased survival. Furthermore, an elevated number of comorbidities, in particular arterial hypertension, increased mortality rates. Conclusions Patients with active CD presented a poor survival outcome. Remission restored the patients’ life expectancy regardless of the timing or the types of treatments used to achieve it. Persistent CD-related comorbidities remained major risk factors. Introduction Cushing’s disease (CD) is the most common cause of endogenous glucocorticoid excess due to uncontrolled adrenocorticotropic hormone (ACTH) secretion from a pituitary adenoma, for the most part a microadenoma [1]. A rare condition with an estimated incidence of 0.6—2.6 cases per million per year, it is burdened by high morbidity and mortality, for the most part linked to cardiovascular (CV) events. This is particularly true for active CD which is characterized by hypertension, diabetes mellitus, obesity and dyslipidaemia. The severity of the clinical picture seems to depend more on the duration of the disease rather than on the degree of cortisol elevation, although other confounding factors may affect the clinical phenotype [2]. Prompt diagnosis and resolution of hypercortisolemia are paramount to revert cortisol-related comorbidities and to improve life expectancy. Although new individualized medical treatment options for CD continue to evolve, transsphenoidal surgery (TSS) remains the first line treatment for potentially operable patients as it is the only treatment that seems to provide a rapid, long-lasting remission. Persistent and recurrent cases are nevertheless major concerns, since up to 50% of cases might require other treatment modalities to achieve disease control and those patients are once again exposed to cortisol excess that can negatively impact their survival [3]. An increased mortality has been noted in patients with active CD, while patients in remission show a markedly lower one. It is still unclear if mortality in these patients is higher than that in the general population. Some studies report a normal life expectancy [4,5,6,7,8] while others describe a persistently higher mortality [9,10,11]. One study reported finding a higher mortality as long as 10 years after remission, and only patients cured by a single TSS showed a normal life expectancy [12]. In view of these considerations, this study was designed to assess the prevalence of cortisol-related comorbidities/complications and mortality in a large group of CD patients attending a tertiary referral centre over the past 20 years. Other study aims were to evaluate the predictors of long-term outcomes and the impact of different treatments on life expectancy in CD patients. Materials and Methods One hundred twenty-six CD patients diagnosed between December 2001 and December 2021 were eligible for this monocentric, retrospective, observational study. Hypercortisolism was suspected on the basis of the patient’s clinical features and it was confirmed by appropriate hormonal testing [low dose dexamethasone suppression test (LDDST), 24-h urinary free cortisol (UFC) and late-night salivary cortisol (LNSC)] after excluding the possibility of exogenous glucocorticoid intake from any route [13]. UFC and LNSC were assessed at least in two different samples as recommended [14, 15]. The diagnosis of ACTH-dependent syndrome was confirmed on the strength of detectable ACTH levels (> 10 ng/L) and appropriate responses to a high dose dexamethasone suppression test (HDDST), corticotrophin releasing hormone (CRH) and/or desmopressin (DDAVP) tests [16]. All the patients underwent a pituitary magnetic resonance imaging (MRI); they also underwent bilateral inferior petrosal sinus sampling (BIPSS) when the results of hormonal tests were ambiguous. The pituitary origin of ACTH secretion was confirmed by biochemical remission after TSS, histology and/or post-operative hypoadrenalism. The results of clinical, biochemical and radiological tests as well as the treatments performed to control cortisol secretion (surgery, radiotherapy and/or medical therapy), any comorbidities (i.e., arterial hypertension, impaired glucose homeostasis, dyslipidaemia, overweight), any hormone deficiencies, any complications (i.e., CD-related events such as infective, CV and thromboembolic events) and any deaths recorded in the medical charts were collected. The disease severity at baseline was defined on the basis of the patient’s UFC values as mild (up to two-fold the upper limit of normal – ULN), moderate (between 2 and 5 times the ULN) or severe (over five-fold the ULN). Patient’s classification on the basis of disease activity are indicated in Supplementary material and methods sections. The presence of hypertension, glucose metabolism impairment, obesity, dyslipidaemia and hypopituitarism were defined as by specific Guidelines, Supplementary [19,20,21,22,23,24]. The current study was designed in accordance with the principles of the Declaration of Helsinki and approved by the Ethical Committee of the province of Padova (protocol code 236n/AO/22, date of approval 29 April 2022). The types of CD complications characterizing the patient were classified into three categories: CV, thromboembolic (TE), or infective (IN) events. Depending on the timing of its presentation, an event was classified as occurring: “prior” to diagnosis, “during” active CD or “after” CD remission. Events requiring hospitalization or iv antibiotic administration were registered as IN events. The causes of death were classified under the following headings: CV, infections, cancer, psychiatric complications leading to suicide, TE events or other (the last when none of the previous causes was applicable). Statistical analysis Categorical variables were reported as counts or percentages, and quantitative variables as median and interquartile ranges [IQR]. The comparisons between groups were performed with a Mann–Whitney sum rank test for independent quantitative variables; a Wilcoxon signed-rank test was run for dependent quantitative variables. As far as categorical variables were concerned, the McNemar test or a chi-square test were used for paired and unpaired data, respectively. A Cox regression analysis was performed to evaluate possible predictors for events and mortality based on the assumption of constant hazards over time. As time-dependent variables (e.g., achieving remission) did not meet this assumption, their survival analysis was performed using Kaplan–Meier analysis. Regarding complications, as there is usually a delay in CD diagnosis [25], Kaplan Meier curves for event free probability were calculated beginning 24 months prior to the diagnosis in order to include “prior” events possibly related to cortisol excess in our analysis. Vice versa, survival analysis for mortality was calculated beginning with the CD diagnosis date. Standardized mortality ratio (SMR) was calculated based on indirect age standardization in order to compare the observed deaths in our CD population with the expected number of deaths in the general population [26, 27]. A Fisher exact test was carried out to assess significant differences with respect to the general population and calculating the 95% confidence interval (95% CI) for SMR. The threshold for statistical significance was set at p-value < 0.05. Statistical analyses were performed with R: R-4.2.0 for Windows 10 (32/64 bit) released in April 2022 and R studio desktop version 4.2.0 (2022-04-22) for Windows 10 64 bit (R Foundation for Statistical Computing, Vienna, Austria, URL https://www.R-project.org/). An open-source calculator was also used to perform the Fisher exact test (http://www.openepi.com). Results Baseline The data of 167 CD patients attending the Centre between December 2001 and December 2021 were collected. The information regarding 41 patients were not included in the analysis because of insufficient follow-up data (i.e. patients referred for second opinion or for diagnostic workup or those with follow-up < 1 year from first line treatment). The remaining 126 patients presented a median age at diagnosis of 39 [31–50 years]; the female: male ratio was 3:1. The median follow-up was 130.5 months [72.5–201.5]. The patients’ clinical features at the time of diagnosis are outlined in Table 1. Table 1 The patients’ clinical features at the time of diagnosis Full size table The median UFC levels were 3.2 times the ULN [2–5.6]. Almost half of the cohort presented moderate cortisol excess (45/98, 45.9%), with lower proportions of the patients presenting mild (26/98, 26.5%) and severe disease (22/98, 27.6%). Most of the patients (91/113, 80.5%) had a microadenoma, including 29/91(31.9%) with negative imaging. The remaining 22 patients (19.5%) had a macroadenoma. Treatments Most of the patients underwent TSS as the first line treatment (113/126), only one patient underwent craniotomy. Eight patients received primary medical treatment, three received first-line radiotherapy and one underwent BA soon after diagnosis. Overall, 115 patients underwent pituitary surgery (one patient with a previous unsuccessful pituitary irradiation) and the remission rate was 60.9%. Relapses were observed in 46.7% of the cases after a median time of 56 [29–83] months. The second surgery proved less successful with respect to the first one; the remission rate was 43.2% (16/37); of these, 25% developed recurrence during the follow-up period. The median time to relapse was 66.5 [36–120] months. Only two patients underwent a third surgery; in both cases it was not curative (Supplementary Fig. 1) [27]. A 4th and a 5th TSS were performed in one of these for debulking purposes due to an aggressive pituitary lesion. Surgical remission was not affected by pre-treatment with cortisol-lowering medications neither before the first (p = 1.0) nor the second TSS (p = 0.88). Moreover, hormone control did not improve the surgical outcomes, although a tendency towards a higher remission rate was observed in those patients who showed good disease control before undergoing the second surgery (Supplementary Fig. 2) [27]. Overall, 34 patients received radiotherapy, either the conventional (18.5%) or the stereotactic type (81.5%). Remission was noted in 36.7% (11/30) of the patients with at least a 12-month post-radiotherapy follow-up. As expected, the longer the follow-up, the higher the remission rate; it was 41.67% (10/24) and 46.7% (7/15) at 5 and 10 years, respectively. Thirteen patients underwent BA and achieved complete remission. Excluding the patients with less than 12 months of follow-up, 4 out of 11 (36.4%) of the patients developed CTP-BADX/NS over a mean follow-up period of 110 [106 -329] months. Three patients out of the 11 were previously irradiated at pituitary level to control cortisol secretion. Four CD patients underwent unilateral adrenalectomy due to a dominant adrenal lesion consistent with chronic ACTH stimulation. Two (50%), harbouring unilateral adenomas larger than 5 cm, achieved remission after surgery; both cases were previously irradiated at the pituitary level. All but one of the 48 patients with persistent hypercortisolism at the last follow-up were on cortisol lowering medications. The untreated patient had a residual mild cortisol excess after TSS and medical therapy was discontinued because of multiple drug intolerance. At the last follow-up 28 patients were receiving monotherapy, and 19 were receiving combination treatment; 25 patients were receiving steroidogenesis inhibitors, 9 pituitary-target drugs and 13 a combination of the two compounds (Supplementary Table 1) [27]. Most of our patients achieved UFC normalization (complete control in 67.4%, partial control in 22.7%, uncontrolled in 10.9%). Data pertaining to a single patient with renal function impairment who presented falsely low UFC were not included in this analysis. When available, LNSC was restored in 14/41 cases (34.2%). No differences in the patients’ outcomes linked to the type of treatment prescribed (monotherapy vs combination treatment) or its target (adrenal vs pituitary) were found (data not shown). We also evaluated the extent of cortisol excess throughout the active phase of CD both for the patients presenting persistence at the last available follow-up (n = 48) and for those in remission after multiple therapies (i.e., late remission) (n = 33). As described in the material and methods section, disease activity for each year of active disease was defined on the basis of patients’ UFC levels. A minimum of three UFC measurements were registered every year and the median value was calculated. When data were missing, the patients were considered uncontrolled during that period. The results are reported in Supplementary Table 2 [27]; both the persistence and late remission groups showed UFC levels < 2xULN over more than 50% of the time span evaluated (58.8% and 73.6%, respectively). There was a progressive increase in the proportion of controlled patients over the observation period (Fig. 1). Fig. 1 Percentage of patients controlled during active CD Full size image Comorbidities The principal CD features at baseline and at the last follow-up examination were evaluated, (Supplementary Table 2). At time of diagnosis, no differences were observed as regards comorbidities between patients who achieved remission and those with persistent disease at baseline, (Supplementary Table 3). The patients in remission at the last examination showed a significant improvement in all the parameters considered; those with persistent CD did not (Table 2). Table 2 A comparison of Cushing’s disease features at baseline and at the last follow-up examination Full size table As far as hormone deficiencies were concerned, 42/126 (33.3%) of the patients developed at least one deficit due to previous treatments (Supplementary table 4) [27], including hypocortisolism due to BA. Neither the second surgery nor radiotherapy led to an increase in hypopituitarism (Supplementary Fig. 3) [27]. Complications and mortality As far as CD complications were concerned, 18.3% of the patients had a TE event, 17.5% presented an IN event and 7.1% presented a CV one. Most of the events occurred during an active phase of CD (Table 3). Other concomitant thrombotic risk factors were present in 10/19 (52.6%) of the patients experiencing TE events. TE events were related to surgery (pituitary, adrenal or others) in 5 cases, to post-traumatic fractures in 2, to prolonged immobilization in 2, and to a symptomatic SARS CoV2 infection in one case. IN events affected the respiratory system in 9 cases, the gastro-intestinal tract in 5 cases, the soft tissues in three cases, the central nervous system in 2 cases, the musculoskeletal system in 2 cases and the genitourinary tract in one case. Table 3 Thromboembolic, infective, and cardiovascular events and their timing (see materials and methods) Full size table Overall, 11 deaths were recorded during the follow-up period (130.5 [72.5–201.5] months). The causes of death were classified as: cardiovascular events (n = 4), infections (n = 2), cancer (n = 2), suicide (n = 1), thromboembolic events (n = 0), others (n = 2; a cerebral haemorrhage in one case and an unknown cause in the other). Cox regression was performed to evaluate the predictors of events (CV, IN, TE) and mortality (Fig. 2). The older patients presented an increased risk of mortality (HR 9.41, 95%CI [1.97; 44.90], p = 0.005), of CV events (HR 4.84, 95%CI [1.13; 20.75], p = 0.003) and of TE events (HR 2.41, 95%CI [1.02; 5.65], p = 0.04). Similarly, the presence of a macroadenoma at the time of the first MRI was associated with reduced survival (HR 9.29, 95%CI [2.30; 37.53], p = 0.002). Smoking was correlated to CV events (HR 5.33, 95%CI [1.33; 21.37], p = 0.02). Hypercortisolism severity at baseline did not affect the risk of complications or survival. No gender related differences were observed, although a tendency toward more CV events was noted in the males (p = 0.08). Fig. 2 Cox regression analysis for predictors of mortality and cardiovascular, infective or thromboembolic events; only significant results are shown. HR: Hazard ratio; CI: confidence interval; n: number, CV: cardiovascular; TE: thromboembolic. *p < 0.05 Full size image Kaplan Meier curves were plotted for complications (CV, IN and TE) and mortality in order to assess time-dependent variables (i.e., the number of comorbidities and the disease status at the last follow-up, the timing of remission and the disease activity in the patients with persistent CD at the last follow-up). We found that persistent disease and multiple comorbidities (at least 3) at the last follow-up were associated with increased CV events (p = 0.044 and p = 0.013, respectively) and mortality (p = 0.027 and p = 0.0057, respectively) (Fig. 3). The timing of remission did not influence the mortality or the risk of complications (data not shown). With regard to the patients with persistence, those presenting total/partial control for more than half of the follow-up period considered tended to have fewer CV and IN events (p = 0.078 and p = 0.074, respectively) (Fig. 3). Similarly, among patients with persistent cortisol excess the impaired circadian rhythm of secretion was associate to TE events and a trend to higher mortality (Supplementary Fig. 4). Sub-analysis of each comorbidity revealed that hypertension played a pivotal role during the follow-up period for CV complications (p = 0.011) and mortality (p = 0.0039). Similarly, dyslipidaemia was related to CV events (p = 0.046) and prediabetes/diabetes were associated to TE events (p = 0.035). A tendency toward increased mortality in the patients with impaired glucose homeostasis at the last follow-up was also noted (p = 0.052) (Data not shown). Fig. 3 Kaplan Meier curves for cardiovascular events based on: A) comorbidities at the last follow-up examination; disease status at the last follow-up examination; C) control during active disease for patients presenting persistence at the last follow-up. Kaplan Meier curves for survival plotting: D) comorbidities at the last follow-up examination; E) disease status at the last follow-up examination. Kaplan Meier curves for infective events based on: F) hormone control during active disease of patients presenting persistence at the last follow-up examination. FU: follow-up; CV: cardiovascular; IN: infective. *p < 0.05 Full size image The entire CD cohort presented an increased mortality, with a SMR of 3.22 (95%CI [1.70; 5.60], p = 0.002). Mortality was significantly higher in the patients with persistent disease (SMR 4.99, 95%CI [2.15; 9.83], p < 0.001), but it was similar to that of the general population in the patients in remission (SMR 1.66, 95%CI [0.34; 4.85], p = 0.543). The finding was independent of the timing or the modality used to achieve cortisol control; for the early remission group the SMR was 2.15 (95%CI [0.36; 7.11], p = 0.477) and for the late remission group it was 1.14 (95%CI [< 0.01; 5.62], p = 1.0). The length of remission period was 82 [38–139] for the early remission group vs 85 [21–136] for the late remission one. Discussion Study findings have confirmed that CD patients have a higher mortality and, as previously observed, the most common cause of death in these patients was, first of all, CV events and, secondly, infections [9]. Although there were no fatal TE events in our cohort, that type of complication was the most frequent one. As expected, the patients with persistent CD presented significantly increased mortality with respect to the general population. At the last follow-up examination the CD patients in remission had a mortality rate that was comparable to that of the general population regardless of the number of treatments needed to achieve remission. The finding is in contrast with the results of a multicentre study examining patients with more than 10 years of remission that reported finding a normal life expectancy only in the patients who achieved an early remission following a single TSS [12]. The better life expectancy in our series may be explained by an extensive use of cortisol-lowering medications in our centre during active phases of CD. There was moreover at least a partial control in the late remission group during over 70% of the years assessed; this might have had a positive effect on the overall survival rate (data not shown). Furthermore, our study considered relatively recent years when significant improvement in timely diagnosis and available medical therapies have been made [9]. Lastly, being monocentric, our study showed a homogenous management of comorbidities that by contrast, is in highly unlikely in a retrospective international study. Since cardiovascular and metabolic risk factors related to cortisol-excess are major determinant of mortality in CD, the latter point is of the outmost importance. Survival was positively influenced in our cohort by a younger age at diagnosis, the presence of a microadenoma at baseline [9] and a remission status at the last follow-up examination. As expected, an elevated number of comorbidities increased mortality, and as has been previously reported, arterial hypertension, in particular, reduced survival [28]. A tendency toward increased mortality was also noted in connection to impaired glucose homeostasis, but data on this topic are still controversial [8, 10, 12, 28, 29]. Cortisol excess atherosclerotic risk leading to CV events are closely liked. Beyond cortisol’s direct action on the tissues, this association is probably related to a clustering of several metabolic complications such as insulin resistance, arterial hypertension, dyslipidaemia and overweight commonly present in CD patients [30, 31]. Indeed, the patients presenting multiple comorbidities, especially arterial hypertension and dyslipidaemia, showed more CV complications. CV events were also more frequent in the patients with persistent hypercortisolism, and, as observed in general population in the elderly and in the smokers [32]. Older age at the time of diagnosis and dis-glycemia at the last follow-up examination were found to be related to TE events. It was instead impossible to identify predictors of infective complications. Although most TE and IN events occurred during active disease, remission did not significantly reduce these complications. The finding is in line with the data of a recent study focusing on a Swedish population reporting that CD patients present a higher risk of sepsis and thromboembolism even during long term remission [33]. Moreover, it is worthy of note that most of the TE events (52.6%) were accompanied by a concomitant risk factor such as recent surgery. These data highlight the importance of adequate prophylaxis in CD patients facing prothrombotic conditions such as those linked to a perioperative period [3, 34]. Disease severity at the baseline did not affect the patients’ complications or survival; the finding is not entirely surprising as the degree of cortisol excess does not necessarily correlate with the severity of the clinical picture [2]. The patients who achieved remission in our cohort showed an overall improvement in all the cortisol-related comorbidities. Hypertension was the most prevalent complication at the time of diagnosis, while overweight, which persisted in approximately 50% of the cases after remission, became by far the most frequent comorbidity. Glucose homeostasis alterations were the least prevalent at the time of diagnosis, although an underestimation is probable, as only fasting glycaemia or glycosylated haemoglobin were evaluated in most cases and provocative testing for hypercortisolism was not carried out [35]. With regards to demographic features, for the most part our patients were diagnosed during their third/fourth decade of life and they were prevalently female, in line with previous reports [36]. Most cases were due to a pituitary microadenoma (80% of the cases in our patients), including non-visible lesions on the MRI. As far as treatment was concerned, the remission rate after the first TSS was quite low with respect to what would be expected at a tertiary centre; the finding can be explained by the fact that many of the patients studied had been referred to our unit after undergoing unsuccessful pituitary surgery elsewhere. However, the assessment of surgical performance in various centres goes beyond the aim of the present study. As expected, a second TSS was less successful than the first one, but the rate of success found in our patients was in line with literature data [37]. Although the immediate remission rate after a second TSS was comparable to the long term outcome of radiotherapy, a quarter of the patients experienced a relapse just as they did after the first surgery [17]. Regarding the risk of developing hypopituitarism was concerned, no significant difference was found between the two approaches. These data have confirmed that both re-intervention and radiation treatment can be considered valid second-tier options, and a case by case approach should be adopted. Pre-operative medical treatment with cortisol-lowering medications did not improve the surgical outcomes, regardless of its effectiveness in controlling cortisol excess, in line with data by the European Registry on Cushing’s Syndrome (ERCUSYN) [38]. At the last follow-up examination, no differences in disease control were found when the treatment targets (pituitary vs adrenal) of the patients were compared. A higher control rate of hypercortisolism during active CD was found over time, possibly reflecting better drug dose titration and the widening landscape of available drugs with over two thirds of the patients presented completely controlled UFC at last examination. The fact that only one third of our patients achieved circadian rhythm restoration confirmed the previously reported difficulty in normalizing this parameter [39,40,41]. Interestingly, TE were more frequent when LNSC was uncontrolled and the same tendency was observed for survival, confirming the better outcome of patients with rhythm restoration [8]. Although only the last available value of LNSC was assessed, this finding might potentially turn the spotlight on the importance of LNSC normalization during medical treatment [42], but further studies are required to confirm these data. In line with previous reports, more than one third of the patients who underwent BA developed CTP-BADX/NS [18]. Although BA seems to immediately control hypercortisolism, this benefit should be carefully weighed against the risk of permanent adrenal insufficiency and CTP-BADX/NS. The patients received minimal doses of glucocorticoid replacement treatments following BA to avoid both over- and under treatment that might negatively impact survival [43], and this might explain why BA was not associated to increased mortality as observed in other series [44]. Unilateral adrenalectomy was performed in selected cases when a large adrenal nodule, probably provoked by chronic ACTH stimulation [45], was found. Interestingly, two patients who had previously undergone radiation treatment of the pituitary achieved disease remission after this surgery. The “transition” from pituitary to adrenal hypercortisolism after long standing ACTH-stimulation on adrenal nodules in CD patients has already been described by other investigators, and it may explain our findings in the patients studied [46]. The study’s retrospective single-centre nature represents its primary limitation. Its other important limitation, the relatively low number of cases and deaths examined, is of course linked to the condition’s rarity. Being a monocentric study does, on the other hand, have its advantages as it ensures that the treatment strategies, comorbidities evaluation and management are homogeneous. Furthermore, data on comorbidities, disease activity, type of cortisol lowering medications and comorbidities are available for most of our cohort. Besides, a potential protective effect of tailored medical therapy to reduce cortisol levels seems to reduce some complications and, to a less extent, overall mortality, especially when circadian cortisol secretion is restored. Further studies are still required to confirmed these latter findings. 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Author information Authors and Affiliations Endocrinology Unit, Department of Medicine-DIMED, University Hospital of Padova, Via Ospedale Civile, 105, 35128, Padua, Italy Alessandro Mondin, Filippo Ceccato, Giacomo Voltan, Pierluigi Mazzeo, Carla Scaroni & Mattia Barbot Neuroradiology Unit, University Hospital of Padova, Padua, Italy Renzo Manara Academic Neurosurgery, Department of Neurosciences, University of Padova, Padua, Italy Luca Denaro Contributions AM and MB wrote the main manuscript text, AM run statistics, AM prepared figures, GV and PM data collection and prepared tables, all authors were involved in patients’ management, CS and MB design the study, FC, CS and MB reviewed the manuscript. Corresponding author Correspondence to Mattia Barbot. Ethics declarations Competing interests Authors certify that they have no affiliations with or involvement in any organization or entity with any financial or non-financial interest in the subject matters discussed in this manuscript. Ethical approval The current study was designed in accordance with the principles of the Declaration of Helsinki and approved by the Ethical Committee of the province of Padova (protocol code 236n/AO/22, date of approval 29 April 2022). Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 327 KB) From https://link.springer.com/article/10.1007/s11102-023-01343-2

The most common procedure to remove pituitary tumors is transsphenoidal adenomectomy. It allows the removal of the tumor with minimal damage to the surrounding structures. The surgical team accesses the pituitary gland through the sphenoid sinus — a hollow space behind the nasal passages and below the pituitary gland. If performed in specialized centers and by an experienced pituitary surgeon, this type of surgery is reported to result in an overall cure rate, or full remission, of Cushing’s disease for 80% to 90% of patients. A higher success rate is seen with smaller tumors. However, reported remission rates vary considerably, mainly due to differences in the criteria used to define disease remission. In some cases, a second transsphenoidal adenomectomy is required to fully remove tumor tissue; in others, the initial surgical procedure is paired with a second form of treatment, such as radiation therapy or certain medications. Given the complexity of the procedure, the guidelines recommend patients undergo surgery in specialized Pituitary Tumor Centers of Excellence. Patients also are advised to have the surgery performed by an experienced pituitary neurosurgeon. Follow-up for all patients should be conducted by a multidisciplinary team, including a pituitary endocrinologist. Lifelong monitoring for disease recurrence is required.

Abstract Purpose. Few related factors of low bone mass in Cushing’s disease (CD) have been identified so far, and relevant sufficient powered studies in CD patients are rare. On account of the scarcity of data, we performed a well-powered study to identify related factors associated with low bone mass in young CD patients. Methods. This retrospective study included 153 CD patients (33 males and 120 females, under the age of 50 for men and premenopausal women). Bone mineral density (BMD) of the left hip and lumbar spine was measured by dual energy X-ray absorptiometry (DEXA). In this study, low bone mass was defined when the Z score was −2.0 or lower. Results. Among those CD patients, low bone mass occurred in 74 patients (48.37%). Compared to patients with normal BMD, those patients with low bone mass had a higher level of serum cortisol at midnight (22.31 (17.95-29.62) vs. 17.80 (13.75-22.77), ), testosterone in women (2.10 (1.33–2.89) vs. 1.54 (0.97–2.05), ), higher portion of male (32.43% vs. 11.54%, ) as well as hypertension (76.12% vs. 51.67%, ), and lower IGF-1 index (0.59 (0.43–0.76) vs. 0.79 (0.60–1.02), ). The Z score was positively associated with the IGF-1 index in both the lumbar spine (r = 0.35153, ) and the femoral neck (r = 0.24418, ). The Z score in the femoral neck was negatively associated with osteocalcin (r = −0.22744, ). Compared to the lowest tertile of the IGF-1 index (<0.5563), the patients with the highest tertile of the IGF-1 index (≥0.7993) had a lower prevalence of low bone mass (95% CI 0.02 (0.001–0.50), ), even after adjusting for confounders such as age, gender, duration, BMI, hypertension, serum cortisol at midnight, PTH, and osteocalcin. Conclusions. The higher IGF-1 index was independently associated with lower prevalence of low bone mass in young CD patients, and IGF-1 might play an important role in the pathogenesis of CD-caused low bone mass. 1. Introduction Cushing’s disease (CD), caused by an adrenocorticotropic hormone (ACTH)-secreting pituitary tumor, is a rare disease with approximately 1.2 to 2.4 new cases per million people each year [1]. Osteoporosis has been recognized as a serious consequence of endogenous hypercortisolism since the first description in 1932 [2]. The prevalence of osteoporosis is around 38–50%, and the rate of atraumatic compression fractures is 15.8% in CD patients [3]. After cortisol normalization and appropriate treatment, recovery of the bone impairment occurs slowly (6–9 years) and partially [4, 5]. Hypercortisolemia impairs bone quality through multiple mechanisms [6]. Growth hormone (GH) and insulin-like growth factor 1 (IGF-1) play a crucial role in bone growth and development [7]. IGF-1 is considered essential for the longitudinal growth of bone, skeletal maturity, and bone mass acquisition not only during growth but also in the maintenance of bone in adults [8]. Previous research studies revealed that low serum IGF-1 levels were associated with a 40% increased risk of fractures [9, 10], and serum IGF-1 levels could be clinically useful for evaluating the risk of spinal fractures [11]. In Marl Hotta’s research, extremely low or no response of plasma GH to recombinant human growth hormone (hGRH) injection was noted in CD patients. This result suggested that the diminished hGRH-induced GH secretion in patients with Cushing’s syndrome might be caused by the prolonged period of hypercortisolemia [12]. Other surveys indicated that glucocorticoids, suppressing GH–IGF-1 and the hypothalamic-pituitary-gonadal axes, lead to decreased number and dysfunction of osteoblast [13]. However, the exact mechanism is still unclear, and few risk factors for osteoporosis in CD have been identified so far. Until now, relevant and sufficiently powered studies in CD patients have been rare [14, 15]. Early recognition of the changes in bone mass in CD patients contributes to early diagnosis of bone mass loss and prompt treatment, which could help minimize the incidence of adverse events such as fractures. On account of the scarcity of data and pressing open questions concerning risk evaluation and management of osteoporosis, we performed a well-powered study to identify the related factors associated with low bone mass in young CD patients at the time of diagnosis. 2. Materials and Methods 2.1. Subjects This retrospective study enrolled 153 CD patients (33 males and 120 females) from the Department of Endocrinology and Metabolism of Huashan Hospital between January 2010 and February 2021. All subjects were evaluated by the same group of endocrinologists for detailed clinical evaluation. This study, which was in complete adherence to the Declaration of Helsinki, was approved by the Human Investigation Ethics Committee at Huashan Hospital, Fudan University (No. 2017M011). We collected data on demographic characteristics, laboratory tests, and bone mineral density. Inclusion criteria included the following: (1) willingness to participate in the study; (2) premenopausal women ≥18 years old, men ≥18 years old but younger than 50 years old, and young women (<50 years old) with menstrual abnormalities who were associated with CD after excluding menstrual abnormalities caused by other causes; (3) diagnosis of CD according to the updated diagnostic criteria [16]; and (4) pathological confirmation after transsphenoidal surgery (positive immunochemistry staining with ACTH). Exclusion criteria included Cushing’s syndrome other than pituitary origin. 2.2. Clinical and Biochemical Methods IGF-1 was measured using the Immulite 2000 enzyme-labeled chemiluminescent assay (Siemens Healthcare Diagnostic, Surrey, UK). Other endocrine hormones, including cortisol (F), 24-hour urinary free cortisol (24hUFC), adrenocorticotropic hormone (ACTH), prolactin (PRL), luteinizing hormone (LH), follicle stimulating hormone (FSH), estrogen (E2), progesterone (P), testosterone (T), thyroid stimulating hormone (TSH), and free thyroxine (FT4), were carried out by the chemiluminescence assay (Advia Centaur CP). Intra-assay and interassay coefficients of variation were less than 8 and 10%, respectively, for the estimation of all hormones. Bone metabolism markers included osteocalcin (OC), type I procollagen amino-terminal peptide (P1NP), parathyroid hormone (PTH), and 25-hydroxyvitamin D (25(OH)VD), measured in a Roche Cobas e411 analyzer using immunometric assays (Roche Diagnostics, Indianapolis, IN, USA). The IGF-1 index was defined as the ratio of the measured value to the respective upper limit of the reference range for age and sex. Body mass index (BMI) was calculated using the following formula: weight (kg)/height2 (m2). The bone mineral density (BMD) measuring instrument was Discovery type W dual energy X-ray absorptiometry from the American HOLOGIC company. Quality control tests were conducted every working day. Before examination, the date of birth, height, weight, and menopause date of the examiner were accurately recorded, and then BMD (g/cm2) of the left hip and lumbar spine were measured by DEXA. Z value was used for premenopausal women and men younger than 50 years old, and Z-value = (measured value − mean bone mineral density of peers)/standard deviation of BMD of peers [17, 18]. In this study, low bone mass was defined as a Z-value of −2.0 or lower. 2.3. Statistical Analysis The baseline characteristics were compared between CD patients with and without low bone mass by using the Student’s t-test for continuous variables and the χ2 test for category variables. Bone turnover markers, alanine aminotransferase (ALT), triglyceride (TG), IGF-1 index, thyroid stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), testosterone (T), 24 hours of urine cortisol (24 h UFC), and serum cortisol at 8 a.m. (F8 am) and at midnight (F24 pm) were not in normal distribution, so variables mentioned above were Log10-transformed, which could be used as continuous variables during statistical analysis. Participants were categorized into three groups according to tertiles of the IGF-1 index: <0.5986, 0.5986–0.8380, and >0.8380. The linear trend across IGF-1 index tertiles was tested using linear regression analysis for continuous variables and the Cochran–Armitage test for categorical variables. We used a multivariate logistic regression model to identify related factors that are independently associated with the risk of low bone mass. Variables included in the multivariate logistic regression model were selected based on the Spearman rank correlation analysis and established traditional low bone mass risk factors as priors. The results were presented as odds ratios (OR) and the corresponding 95% confidence intervals (CI). Significance tests were two-tailed, with value <0.05 considered statistically significant for all analyses. Statistical analysis was performed using SAS version 9.3 (SAS Institute Inc, Cary, NC, USA). 3. Results 3.1. The Prevalence of Low Bone Mass in Young Cushing’s Disease Patients From the inpatient system of Huashan hospital, a total of 153 CD patients under the age of 50 for men and premenopausal women (some with menstrual abnormalities were associated with CD) were included, aged from 13 to 49 years, with an average age of 34.25 ± 8.39 years. There were 33 males (21.57%) and 120 females (78.43%). These CD patients included newly diagnosed CD, recurrences of CD, and CD without remission after treatment. There were no differences in the prevalence of different statuses of CD between the two groups (Table 1). Table 1 Clinical and biochemical preoperative characteristics of young Cushing’s disease patients according to status of bone mineral density at diagnosis. Among these CD patients, low bone mass occurred in 74 patients (48.37%), including 24 men and 50 women. The prevalence of low bone mass was 41.67% and 72.73% in female and male CD patients, respectively, and 42 (56.76%) patients suffered from low bone mass in the lumbar spine only, while 10 (13.51%) patients had low bone mass in the femoral neck only, and 22 (29.73%) patients had low bone mass in both parts. In female patients with low bone mass, 27 (54%) had low bone mass in the lumbar region only, 9 (18%) in the femoral neck only, and 14 (28%) had low bone mass in both parts. For male patients with low bone mass, 16 (66.67%) patients had low bone mass only in the lumbar region, and the rest (8, 33.33%) had low bone mass in both parts. Ten patients had a history of fragility fractures (6 ribs, 3 vertebrae, 1 femoral neck, and ribs), and all of them achieved low bone mass in BMD. 3.2. Baseline Characteristics of Cushing’s Disease Patients with and without Low Bone Mass These CD patients were divided into two groups with and without low bone mass (Table 1). Compared to patients without low bone mass, those low bone mass patients had a higher level of diastolic blood pressure (DBP) (97.07 ± 13.69 vs. 89.76 ± 13.43, ), serum creatinine (66.15 ± 24.33 vs. 55.90 ± 13.35, ), uric acid (0.36 ± 0.10 vs. 0.32 ± 0.10, ), cholesterol (5.57 ± 1.30 vs. 5.06 ± 1.47, ), testosterone in women (2.10 (1.33–2.89) vs. 1.54 (0.97–2.05), ), F24 pm (22.31 (17.95–29.62) vs. 17.80 (13.75–22.77), ), and higher portion of male (32.43% vs. 11.54%, ), as well as hypertension (76.12% vs. 51.67%, ). The low bone mass group had a lower IGF-1 index (0.59 (0.43–0.76) vs. 0.79 (0.60–1.02), ) and FT3 level (3.54 (3.16–4.04) vs. 3.98 (3.47–4.45), ) than those without low bone mass. CD patients without low bone mass were more likely to have serum IGF-1 above the upper limit of the normal reference range (ULN) with age-adjusted (18, 26.87% vs. 3, 4.84%, ). No differences of bone turnover makers were found between the two groups. 3.3. Association between Baseline Characteristics and BMD Spearman’s rank correlation analysis was used to explore the related factors of low bone mass in young CD patients (Table 2). The results indicated that the Z score in the lumbar spine was positively associated with age at diagnosis (r = 0.18801, ), IGF-1 index (r = 0.35153, ), FT3 level (r = 0.24117, ), estradiol in women (r = 0.2361, ), and occurrence of normal menstruation in females (r = 0.2267, ). Meanwhile, SBP (r = −0.21575, ), DBP (r = −0.32538, ), ALT (r = −0.17477, ), serum creatinine (r = −0.36072, ), cholesterol (r = −0.20205, ), testosterone in women (r = −0.2700, ), F8 am (r = −0.18998, ), and serum cortisol at midnight (r = −0.27273, ) were negatively associated with the Z-score in the lumbar spine. The results also illustrated that the Z-score in the femoral neck was positively associated with BMI (r = 0.33926, ), IGF-1 index (r = 0.24418, ), FT3 level (r = 0.20487, ), and occurrence of normal menstruation in females (r = 0.2393, ). Serum creatinine (r = −0.1932, ), osteocalcin (r = −0.22744, ), and testosterone in women (r = −0.2363, ) were negatively associated with the Z-score in the femoral neck. Table 2 Spearman rank correlation of BMD and various variables in Cushing’s disease patients. 3.4. IGF-1 Index and Low Bone Mass Participants were categorized into the following three groups according to tertiles of the preoperative IGF-1 index: <0.5986 (tertiles 1), 0.5986–0.8380 (tertiles 2), and >0.8380 (tertiles 3). With the IGF-1 index increasing, the level of PTH decreased (54.85 (38.35–66.2), 38.9 (26.6–66.9), 36 (25.5–47.05), and ), while other bone metabolism makers, including PINP, osteocalcin, and 25 (OH) VD, showed no differences among the three groups (Figures 1(a)–1(d)). With the increase in the IGF-1 index level, the Z-score of both vertebra lumbalis (tertiles 1: −2.4 (−3.3∼−1.5); tertiles 2: −1.9 (−2.3∼−1.0); tertiles 3: −1.15 (−1.9∼−0.4), ) and the neck of femur (tertiles 1: −1.7 (−2.3∼−0.95); tertiles 2: −1.2 (−1.9∼−0.5); tertiles 3: −1.0 (−1.5∼−0.5), ) increased gradually (Figures 2(a) and 2(b)). Meanwhile, prevalence of low bone mass decreased (68.29%, 53.33%, 23.81%, ) (Figure 3(a)) both in the vertebra lumbalis (63.41%, 48.89%, 16.67%, ) and the neck of femur (32.5%, 11.11%, 11.19%, ), with the increasing of the IGF-1 index level (Figures 3(b) and 3(c)). (d) (a) (b) (c) (d) (a) (b) (c) (d) (a) (b) (c) (d) Figure 1 Bone turnover makers in three groups according to tertiles of the preoperative IGF-1 index. Tertiles 1: <0.5986, tertiles 2: 0.5986–0.8380, and tertiles 3 >0.8380. a for PINP; b for osteocalcin; c for PTH; d for VD-OH25. (a) p for trend = 0.2601. (b) p for trend = 0.1310. (c) p for trend = 0.008. (d) p for trend = 0.7956. (b) (a) (b) (a) (b) (a) (b) Figure 2 Z-score of both the neck of femur and the vertebra lumbalis in three tertiles of the IGF-1 index. a for the neck of femur; b for the vertebra lumbalis. Tertiles 1: <0.5986, tertiles 2: 0.5986–0.8380, and tertiles 3 >0.8380. (a) p for trend = 0.0148. (b) p for trend < 0.0001. (c) (a) (b) (c) (a) (b) (c) (a) (b) (c) Figure 3 Prevalence of low bone mass according to tertiles of the preoperative IGF-1 index. With increment of the IGF-1 index level, prevalence of low bone mass decreased, both in the vertebra lumbalis and neck of femur. Tertiles 1: <0.5986, tertiles 2: 0.5986–0.8380, and tertiles 3 >0.8380. (a) p for trend = 0.0002. (b) p for trend = 0.0169. (c) p for trend < 0.0001. In the logistic regression analysis of the related factors of low bone mass, most of the potentially relevant factors were put into this model; only the IGF-1 index was still significantly negatively associated with the prevalence of low bone mass after adjusting for covariables. The results indicated that compared to the patients in the lowest tertile of the IGF-1 index (<0.5563), those with the highest tertile of the IGF-1 index (≥0.7993) had a lower prevalence of low bone mass (95% CI 0.16 (0.06–0.41), ). After adjusting for age, gender, and BMI, the patients in the highest tertile of the IGF-1 index still conferred a lower prevalence of low bone mass (95% CI 0.15 (0.06–0.42), ). The association between the IGF-1 index and low bone mass still existed (95% CI 0.02 (0.001–0.5), ) even after adjusting for age, gender, CD duration, BMI, hypertension, dyslipidemia, diabetes, ALT, Scr, FT3, F24 pm, PTH, and osteocalcin (Table 3). In comparison to the reference population, the participants in the middle tertile of the IGF-1 index (0.5563–0.7993) had no different risk of low bone mass. Table 3 Association between the preoperative IGF-1 index and the risk of low bone mass. 4. Discussion Our results revealed that low bone mass occurred in around half of young CD patients, affecting more males than females, and mostly in the lumbar spine. The CD patients in our study had a high prevalence (48.37%) of low bone mass at the baseline. This was in accordance with the findings of previous research, and the reported prevalence of osteoporosis due to excess endogenous cortisol ranges from 22% to 59% [19–25]. In this study, CD patients’ lumbar vertebrae were more severely affected than the neck of the femur. It is reported that lumbar vertebrae, containing more trabecular bone than femur neck, were more vulnerable to endogenous cortisol [26]. Our results also indicated that men were more prone to low bone mass than women in CD, which was in accordance with several other studies [23, 27, 28]; possibly, the deleterious effect of cortisol excess on BMD might overrule the protective effects of sex hormones, and men were more often hypogonadal compared with women in CD patients. In our study, patients with low bone mass had a significantly higher level of F24 pm. Both cortisol levels in the morning and at midnight, were negatively associated with the Z-score of BMD in the lumbar spine at diagnosis. But these results were not seen in the femoral neck at diagnosis. This further indicated that lumbar vertebrae were more vulnerable to endogenous cortisol. BMI was considered to be associated with bone mass [29]. In our study, higher BMI was associated with higher BMD at diagnosis in the femur neck but not in the lumbar vertebrae, consistent with other studies [30]. Interestingly, besides the above known related factors, we also found that a higher level of the IGF-1 index was strongly associated with a lower prevalence of low bone mass, both in the vertebra lumbalis and the neck of the femur, independently of age, gender, duration, BMI, hypertension, dyslipidemia, diabetes, level of ALT, creatinine, FT3, and F24 pm. The IGF-1 index was also positively associated with the BMD Z-score, both in the lumbar spine and the femoral neck. So far, there have been few studies concerning the association between IGF-1 and low bone mass in Cushing’s disease patients. As we know, GH [31, 32] and IGF-1 [33] have been demonstrated to increase both bone formation (e.g., collagen synthesis) and bone resorption. However, in CD patients, glucocorticoids resulted in decreased number and dysfunction of osteoblasts by inhibiting GH-IGF-1 axes [34, 35]. In vitro studies suggested that at high concentrations of glucocorticoids, a decreased release of GHRH had been reported [36–38]; therefore, GH-IGF-1 axes were inhibited. IGF-1 possessed anabolic mitogenic actions in osteoblasts while reducing the anabolic actions of TGF-β [39]. The decrease in IGF-1 might be a risk factor for low bone mass in CD patients. In vitro studies had also indicated that the suppressive effects of glucocorticoids on osteoblast function can be partially reversed by GH or IGF treatment [8]. In recent years, some studies have also shown that patients with untreated Cushing’s disease may have elevated IGF-1, and mildly elevated IGF-1 in Cushing’s disease does not imply pathological growth hormone excess. Higher IGF-1 levels could predict better outcomes in CD [40, 41]. Possible mechanisms were not clear, which might involve changes in IGF binding proteins (IGFBPs), interference in IGFBP fragments, IGF-1 synthesis or clearance, and/or the effects of hyperinsulinism induced by excess glucocorticoids. In our study, the results also showed that IGF-1 was an independent protective factor for low bone mass in CD patients. Our study was one of the few well-powered research studies on the association of IGF-1 levels with low bone mass in young CD patients. These represented important strengths of our study, especially given the rarity of CD. The main limitation of this study was its retrospective nature. This could not prove causality. A prospective study should be conducted to explore the causality between IGF-1 and osteoporosis in CD patients. In addition, this study lacked morphometric data for spinal fractures in all patients, which may underestimate the incidence of fractures and osteoporosis. However, our study indicated that a lower IGF-1 index level was significantly associated with low bone mass in young CD patients, which might provide a new aspect to understand the possible risk factors and mechanism of osteoporosis in CD patients. In conclusion, our study found that a higher IGF-1 index was independently and significantly associated with decreased prevalence of low bone mass in young CD patients, drawing attention to the role of IGF-1 in the pathogenesis of CD-caused low bone mass and may support the exploration of this pathway in therapeutic agent development in antiosteoporosis in CD. Data Availability The data used to support the findings of the study are available on request from the authors. Additional Points Through a retrospective study of a large sample of Cushing’s disease (CD) patients from a single center, we found that a higher IGF-1 index was independently associated with a lower prevalence of low bone mass in young CD patients and IGF-1 might play an important role in the pathogenesis of CD-caused low bone mass. Disclosure Wanwan Sun and Quanya Sun were the co-first authors. Conflicts of Interest The authors declare that they have no conflicts of interest. Authors’ Contributions Wanwan Sun analyzed the data and wrote the manuscript. Quanya Sun collected the data. Hongying Ye and Shuo Zhang conducted the study design and quality control. All authors read and approved the final manuscript. Wanwan Sun and Quanya Sun contributed equally to this work. Acknowledgments The present study was supported by grants from the initial funding of the Huashan Hospital (2021QD023). 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Abstract Objectives To assess the diagnostic performance of high-resolution contrast-enhanced MRI (hrMRI) with three-dimensional (3D) fast spin echo (FSE) sequence by comparison with conventional contrast-enhanced MRI (cMRI) and dynamic contrast-enhanced MRI (dMRI) with 2D FSE sequence for identifying pituitary microadenomas. Methods This single-institutional retrospective study included 69 consecutive patients with Cushing’s syndrome who underwent preoperative pituitary MRI, including cMRI, dMRI, and hrMRI, between January 2016 to December 2020. Reference standards were established by using all available imaging, clinical, surgical, and pathological resources. The diagnostic performance of cMRI, dMRI, and hrMRI for identifying pituitary microadenomas was independently evaluated by two experienced neuroradiologists. The area under the receiver operating characteristics curves (AUCs) were compared between protocols for each reader by using the DeLong test to assess the diagnostic performance for identifying pituitary microadenomas. The inter-observer agreement was assessed by using the κ analysis. Results The diagnostic performance of hrMRI (AUC, 0.95–0.97) was higher than cMRI (AUC, 0.74–0.75; p ≤ .002) and dMRI (AUC, 0.59–0.68; p ≤ .001) for identifying pituitary microadenomas. The sensitivity and specificity of hrMRI were 90–93% and 100%, respectively. There were 78% (18/23) to 82% (14/17) of the patients, who were misdiagnosed on cMRI and dMRI and correctly diagnosed on hrMRI. The inter-observer agreement for identifying pituitary microadenomas was moderate on cMRI (κ = 0.50), moderate on dMRI (κ = 0.57), and almost perfect on hrMRI (κ = 0.91), respectively. Conclusions The hrMRI showed higher diagnostic performance than cMRI and dMRI for identifying pituitary microadenomas in patients with Cushing’s syndrome. Key Points • The diagnostic performance of hrMRI was higher than cMRI and dMRI for identifying pituitary microadenomas in Cushing’s syndrome. • About 80% of patients, who were misdiagnosed on cMRI and dMRI, were correctly diagnosed on hrMRI. • The inter-observer agreement for identifying pituitary microadenomas was almost perfect on hrMRI. Introduction Cushing’s syndrome, caused by excessive exposure to glucocorticoids, is associated with considerable morbidity and increased mortality [1]. Cushing’s syndrome has diverse manifestations, including central obesity, moon facies, purple striae, and hypertension [2]. Cushing’s disease, due to adrenocorticotropic hormone (ACTH) hypersecretion from pituitary adenomas, is the most common etiology of ACTH-dependent Cushing’s syndrome [1, 2]. According to the Endocrine Society Clinical Practice Guideline, transsphenoidal surgery is the first-line treatment for Cushing’s disease [3]. The identification of pituitary adenomas on preoperative MRI can significantly increase the postoperative remission rate from 50 to 98% [4]. Therefore, it is critical to identify pituitary adenomas on MRI before surgery. However, there are considerable challenges in identifying ACTH-secreting pituitary adenomas. This is because about 90% of the tumors are microadenomas (less than 10 mm in size) and the median diameter at surgery is about 5 mm [5, 6]. Conventional contrast-enhanced MRI (cMRI) using a two-dimensional (2D) fast spin echo (FSE) sequence has been routinely used to acquire images with 2- to 3-mm slice thickness, but some microadenomas are difficult to be identified on cMRI, resulting in false negatives reported in up to 50% of patients with Cushing’s disease [7]. Dynamic contrast-enhanced MRI (dMRI) increases the sensitivity of identifying pituitary adenomas to 66% [8], but it also increases false positives at the same time [9, 10]. The 3D spoiled gradient recalled (SPGR) sequence has been introduced in high-resolution contrast-enhanced MRI (hrMRI) to acquire images with 1- to 1.2-mm slice thickness. It is reported that the 3D SPGR sequence is superior to the 2D FSE sequence in the identification of pituitary adenomas with a sensitivity of up to 80% [11,12,13], but it cannot satisfy the clinical needs that about 20% of the lesions are still missed. Therefore, techniques are needed that can help better identify pituitary adenomas, particularly microadenomas. Previously, the 3D FSE sequence was recommended in patients with hyperprolactinemia [14]. Recently, the 3D FSE sequence has developed rapidly and can provide superior image quality with diminished artifacts [15]. Sartoretti et al demonstrated in a very effective fashion that the 3D FSE sequence is a reliable alternative for pituitary imaging in terms of image quality [16]. However, to our knowledge, few studies have investigated the diagnostic performance of 3D FSE sequences for identifying ACTH-secreting pituitary adenomas, particularly microadenomas. The aim of our study was to assess the diagnostic performance of hrMRI with 3D FSE sequence by comparison with cMRI and dMRI with 2D FSE sequence for identifying ACTH-secreting pituitary microadenomas in patients with Cushing’s syndrome. Materials and methods This single-institutional retrospective study was approved by the Institutional Review Board of our hospital. The study was conducted in accordance with the Helsinki Declaration. The informed consent was waived due to the retrospective nature of the study. Study participants We retrospectively reviewed the medical records and imaging studies of 186 consecutive patients with ACTH-dependent Cushing’s syndrome, who underwent a combined protocol of cMRI, dMRI, and hrMRI from January 2016 to December 2020. Postoperative patients with Cushing’s disease (n = 97), patients with ectopic ACTH syndrome who underwent pituitary exploration (n = 2), and patients with macroadenomas (n = 5) or lack of pathology (n = 13) were excluded from the study. Finally, 69 patients with ACTH-dependent Cushing’s syndrome were included in the current study (Fig. 1) and the patients included were all surgically confirmed. Fig. 1 Flowchart of patient inclusion/exclusion process and image analysis. ACTH adrenocorticotropic hormone, CD Cushing’s disease, EAS ectopic ACTH syndrome, T1WI T1-weighted imaging, T2WI T2-weighted imaging Full size image MRI protocol All the patients were imaged on a 3.0 Tesla MR scanner (Discovery MR750w, GE Healthcare) using an 8-channel head coil. The MRI protocol included coronal T2-weighted imaging, coronal T1-weighted imaging, and sagittal T1-weighted imaging before contrast injection. After contrast injection of gadopentetate dimeglumine (Gd-DTPA) at 0.05 mmol/kg (0.1 mL/kg) with a flow rate of 2 mL/s followed by a 10-mL saline solution flush, dMRI and cMRI with 2D FSE sequence were obtained first, and hrMRI with 3D FSE sequence using variable flip angle technique was performed immediately afterward. Detailed acquisition parameters are presented in Table S1. Image analysis: diagnostic performance Image interpretation was independently conducted by two experienced neuroradiologists (F.F. and H.Y. with 25 and 16 years of experience in neuroradiology, respectively), who were blinded to patient information. The evaluation order of cMRI, dMRI, and hrMRI sequences was randomized. The identification of pituitary microadenomas on images was scored based on a three-point scale (0 = poor; 1 = fair; 2 = excellent). Scores of 1 or 2 represented the identification of the lesion. Reference standards were established by using all available imaging, clinical, surgical, and pathological resources, with a multidisciplinary team approach. Image analysis: image quality Two readers (Z.L. and B.H. with 4 years of experience in radiology, respectively) were asked to assess the image quality of cMRI, dMRI, and hrMRI. Before exposure to images used in the current study, these readers underwent a training session to make sure that they were comparable to the experienced neuroradiologists in terms of image quality assessment. Images were presented in a random order. Image quality was assessed by using a 5-point Likert scale [17], including overall image quality (1 = non-diagnostic; 2 = poor; 3 = fair; 4 = good; 5 = excellent), sharpness (1 = non-diagnostic; 2 = not sharp; 3 = a little sharp; 4 = moderately sharp; 5 = satisfyingly sharp), and structural conspicuity (1 = non-diagnostic; 2 = poor; 3 = fair; 4 = good; 5 = excellent). An example of image quality assessment is shown in Table S2. Final decision was made through a consensus agreement. The mean signal intensity of pituitary microadenomas, pituitary gland, and noise on cMRI, dMRI, and hrMRI was measured using an operator-defined region of interest. For noise, a 10-mm2 region of interest was placed in the background, and noise was defined as the standard deviation of the signal intensity of the background [17]. For pituitary microadenomas and pituitary gland, the region of interest should include a representative portion of the structure. The mean signal intensity of the pituitary microadenoma was replaced with that of the pituitary gland when no microadenoma was identified. A signal-to-noise ratio (SNR) was defined as the mean signal intensity of the pituitary microadenoma divided by noise. A contrast-to-noise ratio (CNR) was defined as the absolute difference of the mean signal intensity between the normal pituitary gland and pituitary microadenomas divided by noise [17]. Supplementary Fig. 1 shows how to measure the SNR and CNR with the region of interest in a contrast-enhanced pituitary MRI. Supplementary Fig. 2 shows the selection of images for the SNR and CNR calculation. Statistical analysis The κ analysis was conducted to assess the inter-observer agreement for identifying pituitary microadenomas. The κ value was interpreted as follows: below 0.20, slight agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, substantial agreement; greater than 0.80, almost perfect agreement. To assess the diagnostic performance of cMRI, dMRI, and hrMRI for identifying pituitary microadenomas, the receiver operating characteristic curves were plotted and the area under curves (AUCs) were compared between MR protocols for each reader by using the DeLong test. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. The Mann–Whitney U test was used to evaluate the difference in image quality scores and the Wilcoxon signed-rank test was used to evaluate SNR and CNR measurements between MR protocols. A p value of less than 0.05 was considered statistically significant. Statistical analysis was performed using MedCalc Statistical Software (version 20.0.15; MedCalc Software) and SPSS Statistics (version 22.0; IBM). Results Clinical characteristics A total of 69 patients (median age, 39 years; interquartile range [IQR], 29–54 years; 38 women [55%]) with ACTH-dependent Cushing’s syndrome were included in the study and their clinical characteristics are shown in Table 1. Among the 69 patients, 60 (87%) patients were diagnosed with Cushing’s disease and 9 (13%) were ectopic ACTH syndrome. The median disease course was 36 months (IQR, 12–78 months). The median serum cortisol, ACTH, and 24-h urine free cortisol level before surgery were 33.0 μg/dL (IQR, 25.1–40.1 μg/dL; normal range 4.0–22.3 μg/dL), 77.2 ng/L (IQR, 55.0–124.0 ng/L; normal range 0–46 ng/L), and 422.0 μg (IQR, 325.8–984.6 μg; normal range 12.3–103.5 μg), respectively. The median serum cortisol and 24-h urine free cortisol level after surgery were 3.0 μg/dL (IQR, 1.8–18.4 μg/dL) and 195.6 μg (IQR, 63.5–1240.3 μg), respectively. The median diameter of pituitary microadenomas was 5 mm (IQR, 4–5 mm), ranging from 3 to 9 mm. Table 1 Clinical characteristics of the patients Full size table Diagnostic performance of cMRI, dMRI, and hrMRI for identifying pituitary microadenomas The inter-observer agreement for identifying pituitary microadenomas by κ statistic between two readers was moderate on cMRI (κ = 0.50), moderate on dMRI (κ = 0.57), and almost perfect on hrMRI (κ = 0.91), respectively. The diagnostic performance for identifying pituitary microadenomas on cMRI, dMRI, hrMRI, and combined cMRI and dMRI is summarized in Table 2. For reader 1, the diagnostic performance of hrMRI (AUC, 0.95; 95%CI: 0.87, 0.99) was higher than that of cMRI (AUC, 0.75; 95%CI: 0.63, 0.85; p = 0.002), dMRI (AUC, 0.59; 95%CI: 0.47, 0.71; p < 0.001), and combined cMRI and dMRI (AUC, 0.65; 95%CI: 0.53, 0.76; p = 0.001). For reader 2, the diagnostic performance of hrMRI (AUC, 0.97; 95%CI: 0.89, 1.00) was higher than that of cMRI (AUC, 0.74; 95%CI: 0.63, 0.84; p = 0.001), dMRI (AUC, 0.68; 95%CI: 0.56, 0.79; p = 0.001), and combined cMRI and dMRI (AUC, 0.70; 95%CI: 0.58, 0.80; p = 0.003). Table 2 Diagnostic performance of cMRI, dMRI, and hrMRI for identifying pituitary microadenomas Full size table For reader 1, 23 of the 69 patients (33%) were misdiagnosed on both cMRI and dMRI, but 18 of the 23 misdiagnosed patients (78%) were correctly diagnosed on hrMRI. For reader 2, 17 of the 69 patients (25%) were misdiagnosed on both cMRI and dMRI, but 14 of the 17 misdiagnosed patients (82%) were correctly diagnosed on hrMRI. Figure 2 shows that a 5-mm pituitary microadenoma was identified on preoperative pituitary MRI. The margin of the lesion was fully delineated on hrMRI, but not on cMRI and dMRI. Figure 3 shows that a 3-mm pituitary microadenoma was missed on cMRI, but identified on dMRI and hrMRI. Figure 4 shows that a 5-mm pituitary microadenoma was correctly diagnosed on hrMRI, but missed on cMRI or dMRI. Figure 5 shows that a 4-mm pituitary microadenoma was evident on coronal images as well as reconstructed axial and reconstructed sagittal images on hrMRI. Fig. 2 Images in a 56-year-old man with Cushing’s disease. The 5-mm pituitary microadenoma (arrow) can be identified on (a) coronal contrast-enhanced T1-weighted image and (b) coronal dynamic contrast-enhanced T1-weighted image obtained with two-dimensional (2D) fast spin echo (FSE) sequence, but the margin is not fully delineated. The lesion (arrow) is well delineated on (c) coronal contrast-enhanced T1-weighted image on high-resolution MRI obtained with 3D FSE sequence. d Intraoperative endoscopic photograph during transsphenoidal surgery after exposure of the sellar floor shows a round pituitary microadenoma (arrow) Full size image Fig. 3 Images in a 34-year-old woman with Cushing’s disease. No tumor is identified on (a) coronal contrast-enhanced T1-weighted image obtained with two-dimensional (2D) fast spin echo (FSE) sequence. The 3-mm pituitary microadenoma (arrow) with delayed enhancement is identified on the left side of the pituitary gland on (b) coronal dynamic contrast-enhanced T1-weighted image obtained with 2D FSE sequence and (c) coronal contrast-enhanced T1-weighted image on high-resolution MRI obtained with 3D FSE sequence. d Intraoperative endoscopic photograph during transsphenoidal surgery shows a 3-mm pituitary microadenoma (arrow) Full size image Fig. 4 Images in a 43-year-old man with Cushing’s disease. The lesion is missed on (a) coronal contrast-enhanced T1-weighted image and (b) coronal dynamic contrast-enhanced T1-weighted image obtained with two-dimensional (2D) fast spin echo (FSE) sequence. c Coronal contrast-enhanced T1-weighted image on high-resolution MRI obtained with 3D FSE sequence shows a round pituitary microadenoma (arrow) measuring approximately 5 mm with delayed enhancement on the left side of the pituitary gland. d Intraoperative endoscopic photograph for microsurgical resection of the 5-mm pituitary microadenoma (arrow) Full size image Fig. 5 Images in a 48-year-old woman with Cushing’s disease. Preoperative high-resolution contrast-enhanced MRI using three-dimensional fast spin echo sequence shows a 4-mm pituitary microadenoma (arrow) with delayed enhancement is well delineated on the left side of the pituitary gland on (a) coronal, (b) reconstructed axial, and (c) reconstructed sagittal contrast-enhanced T1-weighted images. d Intraoperative endoscopic photograph during transsphenoidal surgery after exposure of the sellar floor shows a round pituitary microadenoma (arrow) Full size image Image quality of cMRI, dMRI, and hrMRI Image quality scores of cMRI, dMRI, and hrMRI are presented in Table 3. Scores for overall image quality, sharpness, and structural conspicuity on hrMRI (overall image quality, 5.0 [IQR, 5.0–5.0]; sharpness, 5.0 [IQR, 4.5–5.0]; structural conspicuity, 5.0 [IQR, 5.0–5.0]) were higher than those on cMRI (overall image quality, 4.0 [IQR, 3.5–4.0]; sharpness, 4.0 [IQR, 3.0–4.0]; structural conspicuity, 4.0 [IQR, 4.0–4.0]; p < 0.001 for all) and dMRI (overall image quality, 4.0 [IQR, 4.0–4.0]; sharpness, 4.0 [IQR, 4.0–4.0]; structural conspicuity, 4.0 [IQR, 4.0–4.5]; p < 0.001 for all). Table 3 Image quality scores on cMRI, dMRI, and hrMRI Full size table The SNR and CNR measurements are shown in Table 4. The SNR of the pituitary microadenomas on hrMRI (67.5 [IQR, 51.2–92.1]) was lower than that on cMRI (82.3 [IQR, 61.8–127.2], p < 0.001), but higher than that on dMRI (53.9 [IQR, 35.2–72.6], p = 0.001). The CNR on hrMRI (26.2 [IQR, 15.1–41.0]) was higher than that on cMRI (10.6 [IQR, 0–42.6], p = 0.023) and dMRI (11.2 [IQR, 0–29.8], p < 0.001). Table 4 SNR and CNR on cMRI, dMRI, and hrMRI Full size table Discussion The identification of pituitary microadenomas is considerably challenging but critical in patients with ACTH-dependent Cushing’s syndrome. Our study demonstrated that hrMRI with 3D FSE sequence had higher diagnostic performance (AUC, 0.95–0.97) than cMRI (AUC, 0.74–0.75; p ≤ 0.002) and dMRI (AUC, 0.59–0.68; p ≤ 0.001) for identifying pituitary microadenomas. To our knowledge, there are no previous studies specifically evaluating the identification of pituitary microadenomas on hrMRI with 3D FSE sequence by comparison with cMRI and dMRI in patients with ACTH-dependent Cushing’s syndrome, and this is the largest study conducted in ACTH-secreting microadenomas with a sensitivity of more than 90%. Recently, techniques for pituitary evaluation have developed rapidly. Because of false negatives and false positives on cMRI and dMRI using 2D FSE sequence [7, 9, 10], a 3D SPGR sequence was introduced for identifying pituitary adenomas. Previous studies demonstrated that the 3D SPGR sequence performed better than the 2D FSE sequence in the identification of pituitary adenomas with a sensitivity of up to 80% [11,12,13]. In patients with hyperprolactinemia, the 3D FSE sequence was recommended [14] and the 3D FSE sequence has rapidly developed recently with superior image quality [15, 16], suggesting that the 3D FSE sequence may be a reliable alternative for identifying pituitary adenomas. However, to our knowledge, few studies have investigated the diagnostic performance of the 3D FSE sequence for identifying ACTH-secreting pituitary adenomas. To fill the gaps, we conducted the current study and revealed that images obtained with the 3D FSE sequence had higher sensitivity (90–93%) in identifying pituitary microadenomas, than that in previous studies using the 3D SPGR sequence [8, 11,12,13]. There is a trade-off between spatial resolution and image noise. The reduced slice thickness can overcome the partial volume averaging effect, but it is associated with increased image noise [17]. Strikingly, our study showed that hrMRI had higher image quality scores than cMRI and dMRI, in terms of overall image quality, sharpness, and structural conspicuity. The SNR of the pituitary microadenomas on cMRI was slightly higher than that on hrMRI in our study. This is because the SNR was calculated as the mean signal intensity of the pituitary gland (instead of the pituitary microadenoma) divided by noise when no microadenoma was identified, and the mean signal intensity of the pituitary gland is higher than that of the pituitary microadenoma. About 40% of pituitary microadenomas were missed on cMRI, whereas less than 10% of pituitary microadenomas were missed on hrMRI. Given the situation mentioned above, the SNR on hrMRI was lower than that on cMRI. However, the CNR on hrMRI was significantly higher than that on cMRI and dMRI. Therefore, hrMRI in our study can dramatically improve the spatial resolution with high CNR, enabling the better identification of pituitary microadenomas. The identification of pituitary adenomas on preoperative MRI in patients with ACTH-dependent Cushing’s syndrome could help the differential diagnosis of Cushing’s syndrome and aids surgical resection of lesions. It should be noted that most of the pituitary adenomas in patients with Cushing’s disease are microadenomas [5, 6]. In our study, all the tumors are microadenomas with a median diameter of 5 mm (IQR, 4–5 mm), making the diagnosis more challenging. The sensitivity of identifying pituitary adenomas decreased from 80 to 72% after excluding macroadenomas in a previous study [12], whereas the sensitivity of identifying pituitary microadenomas in our study was 90–93% on hrMRI. In the current study, hrMRI performed better than cMRI, dMRI, and combined cMRI and dMRI, with high AUC (0.95–0.97), high sensitivity (90–93%), and high specificity (100%), superior to previous studies [8, 11,12,13]. The high sensitivity of hrMRI for identifying pituitary adenomas will help surgeons improve the postoperative remission rate [4]. The high specificity of hrMRI will assist clinicians to consider ectopic ACTH syndrome, and then perform imaging to identify ectopic tumors. Besides, the inter-observer agreement for identifying pituitary microadenomas was almost perfect on hrMRI (κ = 0.91), which was moderate on cMRI (κ = 0.50) and dMRI (κ = 0.57). Therefore, hrMRI using the 3D FSE sequence is a potential alternative that can significantly improve the identification of pituitary microadenomas. Limitations of the study included its retrospective nature and the relatively small sample size in patients with ectopic ACTH syndrome as negative controls. The bias may be introduced in the patient inclusion process. Only those patients who underwent all the cMRI, dMRI, and hrMRI scans were included. In fact, some patients will bypass hrMRI when obvious pituitary adenomas were detected on cMRI and dMRI. These patients were not included in the current study because of lack of hrMRI findings. Given the situation, the sensitivity of identifying pituitary adenomas will be higher with the enrollment of these patients. Besides, the timing of the sequence acquisition after contrast injection is essential [16] and bias may be introduced due to the postcontrast enhancement curve of both the pituitary gland and the microadenoma [14]. In the future, a prospective study with different sequence acquisition orders is needed to minimize possible interference caused by the postcontrast enhancement curve. Moreover, a larger sample size is also needed to verify the diagnostic performance of hrMRI using 3D FSE sequence for identifying pituitary microadenomas and to determine whether it can replace 2D FSE or 3D SPGR sequences for routinely evaluating the pituitary gland. In conclusion, hrMRI with 3D FSE sequence showed higher diagnostic performance than cMRI and dMRI for identifying pituitary microadenomas in patients with Cushing’s syndrome. 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Funding This study has received funding from the National Natural Science Foundation of China (grant 82071899), the National Key Research and Development Program of China (grants 2016YFC1305901, 2020YFA0804500), the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (grants 2017-I2M-3–008, 2021-I2M-1–025), the Beijing Natural Science Foundation (grant L182067) and National High Level Hospital Clinical Research Funding (2022-PUMCH-B-067, 2022-PUMCH-B-114). Author information Author notes Zeyu Liu and Bo Hou contributed equally to this work and share first authorship Hui You and Feng Feng contributed equally to this work and share corresponding authorship Authors and Affiliations Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing Dongcheng Distinct, Beijing, 100730, China Zeyu Liu, Bo Hou, Hui You, Mingli Li & Feng Feng Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing Dongcheng Distinct, Beijing, 100730, China Lin Lu, Lian Duan & Huijuan Zhu Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing Dongcheng Distinct, Beijing, 100730, China Kan Deng & Yong Yao State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing Dongcheng Distinct, Beijing, 100730, China Yong Yao, Huijuan Zhu & Feng Feng Corresponding authors Correspondence to Hui You or Feng Feng. Ethics declarations Guarantor The scientific guarantor of this publication is Feng Feng. Conflict of interest The authors of this manuscript declare no conflict of interest. Statistics and biometry No complex statistical methods were necessary for this paper. Informed consent Written informed consent was waived by the Institutional Review Board. Ethical approval Institutional Review Board approval was obtained. Methodology • retrospective • diagnostic or prognostic study • performed at one institution Additional information Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. 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