A Comparison of Near-Infrared Autofluorescence Findings in Benign Versus Malignant Adrenal Tumors.

BACKGROUND: Many adrenal tumors are deemed radiologically indeterminate and surgically removed. Adrenal tissue, like parathyroid glands, exhibits near-infrared autofluorescence (NIRAF) properties. This study was designed to investigate the potential of NIRAF to differentiate benign versus malignant adrenal tumors. METHODS: Patients undergoing adrenalectomy between October 2021 and May 2023 were prospectively studied. Adrenalectomy specimens were inspected with NIRAF imaging. Specimen autofluorescence (AF) characteristics were recorded. Comparisons were made between different tumor types and a logistic regression model was constructed to differentiate benign versus malignant tumors. A receiver operating characteristic curve was used to identify an optimal AF threshold differentiating benign versus malignant tumors. RESULTS: A total of 108 adrenal specimens were examined: adrenocortical adenomas/other benign lesions (n = 72), pheochromocytomas (n = 18), adrenocortical neoplasms of uncertain behavior (n = 4), and malignant tumors (n = 14). A significant difference in normalized AF intensity was identified when comparing adrenocortical adenomas (3.08 times background) with pheochromocytomas (1.95, p = 0.001) and malignant tumors (1.11, p < 0.0001). The Area Under the Curve differentiating benign vs malignant tumors was 0.87, with an optimal normalized AF threshold at 1.93. CONCLUSIONS: Different adrenal pathologies exhibit diverse AF properties. These findings suggest a potential intraoperative utility of NIRAF in predicting benign versus malignant nature for radiologically indeterminate adrenal tumors.

Radiomics in the characterization of lipid-poor adrenal adenomas at unenhanced CT: time to look beyond usual density metrics.

OBJECTIVES: In this study, we developed a radiomic signature for the classification of benign lipid-poor adenomas, which may potentially help clinicians limit the number of unnecessary investigations in clinical practice. Indeterminate adrenal lesions of benign and malignant nature may exhibit different values of key radiomics features. METHODS: Patients who had available histopathology reports and a non-contrast-enhanced CT scan were included in the study. Radiomics feature extraction was done after the adrenal lesions were contoured. The primary feature selection and prediction performance scores were calculated using the least absolute shrinkage and selection operator (LASSO). To eliminate redundancy, the best-performing features were further examined using the Pearson correlation coefficient, and new predictive models were created. RESULTS: This investigation covered 50 lesions in 48 patients. After LASSO-based radiomics feature selection, the test dataset's 30 iterations of logistic regression models produced an average performance of 0.72. The model with the best performance, made up of 13 radiomics features, had an AUC of 0.99 in the training phase and 1.00 in the test phase. The number of features was lowered to 5 after performing Pearson's correlation to prevent overfitting. The final radiomic signature trained a number of machine learning classifiers, with an average AUC of 0.93. CONCLUSIONS: Including more radiomics features in the identification of adenomas may improve the accuracy of NECT and reduce the need for additional imaging procedures and clinical workup, according to this and other recent radiomics studies that have clear points of contact with current clinical practice. CLINICAL RELEVANCE STATEMENT: The study developed a radiomic signature using unenhanced CT scans for classifying lipid-poor adenomas, potentially reducing unnecessary investigations that scored a final accuracy of 93%. KEY POINTS: • Radiomics has potential for differentiating lipid-poor adenomas and avoiding unnecessary further investigations. • Quadratic mean, strength, maximum 3D diameter, volume density, and area density are promising predictors for adenomas. • Radiomics models reach high performance with average AUC of 0.95 in the training phase and 0.72 in the test phase.

The improvement of postoperative blood pressure and associated factors in patients with hormone-negative adrenal adenoma and hypertension.

OBJECTIVE: To investigate the effect of adrenal surgery on blood pressure (BP) improvements in patients with hormone-negative adrenal adenoma (HNA) concomitant with hypertension and analyze associated prognostic factors. METHODS: We retrospectively reviewed the clinical data of patients with HNA and hypertension and patients with aldosterone-producing adenoma (APA) and hypertension who underwent adrenal surgery at our center between 2019 and 2022. Hypertension outcomes were evaluated in all patients and subjects were divided into three groups according to follow-up BP and the administration of anti-hypertensive agents: a clinical curation group, an improvement group, and a no-improvement group. Logistic regression analysis was performed to predict factors associated with clinical curation in patients with HNA post-surgery. RESULTS: Of the 182 patients with HNA, clinical curation was achieved in 58 patients (31.9%), improvement in 72 (39.5%), and no improvement in 52 (28.6%). The clinical curation, improvement and no improvement rates in patients with APA were 64.8% (n = 118), 15.9% (n = 29), and 19.2% (n = 35). Multivariate logistic regression analysis indicated that a duration of hypertension ≤6 years and a plasma aldosterone level >160 pg/ml were both independent factors for the clinical curation of hypertension in patients with HNA after adrenal surgery. CONCLUSION: Adrenal surgery can cure or improve hypertension in most patients with HNA, especially in a short duration of hypertension and high plasma levels of aldosterone.

Pregnancies complicated with functioning adrenal adenomas causing severe obstetric outcomes: a 20-year experience at a tertiary center.

BACKGROUND: Functioning adrenal adenoma during pregnancy is rare, and the diagnosis is challenging owing to unspecific symptoms and restricted investigations. The obstetric outcomes of patients who undergo surgery during pregnancy or who receive only medical treatment are poorly described. OBJECTIVE: The aim was to investigate the associations between functioning adrenal adenomas and obstetric outcomes. METHODS: A retrospective study was performed in a tertiary center over 20 years. The clinical characteristics, management and obstetric outcomes of the diagnosed pregnant women were reviewed. RESULTS: A total of 12 women were diagnosed with functioning adrenal adenomas during pregnancy from January 2002 to September 2022. Eight women had cortisol-secreting adrenal adenomas, two had excessive catecholamine secretion, and two had primary aldosteronism. The initial symptoms of adrenal adenoma during pregnancy included hypertension or preeclampsia, gestational diabetes mellitus or prepregnancy diabetes mellitus, hypokalemia and ecchymosis. Four women underwent adrenalectomy during pregnancy, while 8 women received only medical therapy. Preterm birth occurred in all patients who received medicine, whereas 1 patient who underwent surgery experienced preterm birth. Among the 8 women in the medical treatment group, 3 had neonates who died. CONCLUSIONS: Once hypertension, hyperglycemia and hypokalemia occur during the 1st or 2nd trimester, pregnant women with adrenal adenomas should be evaluated via laboratory and imaging examinations. The maternal and fetal outcomes were unpredictable owing to the severity of adrenal adenoma, particularly in patients who received only medical treatment. Adrenalectomy should be recommended during pregnancy.

Rare correlation of somatic PRKACA mutations with pregnancy-associated aldosterone- and cortisol-producing adenomas: a case report and literature review.

BACKGROUND: Somatic mutations have been observed to induce aldosterone-producing adenomas (APAs). These may be accelerated during pregnancy. Somatic PRKACA mutations are common in cortisol-producing adenomas (CPAs). However, their role in APAs, particularly aldosterone- and cortisol-producing adenomas (A/CPAs), is not well understood. This study aims to investigate the association between PRKACA mutations and the accelerated development of A/CPAs during pregnancy. CASE PRESENTATION: A patient with primary aldosteronism (PA) associated with severe Cushing's syndrome (CS) underwent surgical resection of an adrenal tumor one year after delivery. Pathologic examination revealed an adrenocortical adenoma characterized primarily by zona glomerulosa hyperplasia. Somatic mutation analysis revealed the presence of the somatic PRKACA mutation, which was validated as a deleterious mutation by various computational databases. Immunohistochemical results showed positive staining for cytochrome P450 family 11 subfamily B member 1 (CYP11B1), cytochrome P450 family 11 subfamily B member 2 (CYP11B2), and luteinizing hormone/chorionic gonadotropin receptor (LHCGR). Our study included a review of 20 previously documented cases of aldosterone- and cortisol-producing adenomas (A/CPAs), two of which were concurrently positive for both CYP11B1 and CYP11B2, consistent with our findings. CONCLUSION: Somatic mutations in PRKACA may correlate with the upregulation of LHCGR, which synergistically drives the accelerated growth of co-secretion tumors during pregnancy, thereby exacerbating disease progression.

Cardiovascular Outcomes of KCNJ5 Mutated Aldosterone-Producing Adenoma: A Systematic Review.

BACKGROUND: While clinical features of KCNJ5-mutated aldosterone-producing adenoma (APA) have been reported, evidence of its clinical outcomes is lacking. We aimed to synthesize available literature about the associations between KCNJ5 mutation with cardiovascular and metabolic outcomes among patients with APA. METHODS: In this systematic review of observational studies, MEDLINE and Embase were searched through August 2022. Two independent authors screened the search results and extracted data from eligible observational studies investigating cardiovascular or metabolic outcomes between KCNJ5-mutated APAs and KCNJ5-non-mutated APAs. Risk of Bias In Non-randomized Studies of Interventions was used to assess the quality of the included studies. RESULTS: A total of 573 titles/abstracts were screened and after the expert opinion of the literature, full text was read in 20 titles/abstracts, of which 12 studies were included. Across 3 studies comparing the baseline or change in the cardiac function between KCNJ5-mutated APAs and KCNJ5-non-mutated APAs, all studies reported the association between impaired cardiac functions and KCNJ5 mutation status. Among 6 studies evaluating the cure of hypertension after surgery, all studies showed that KCNJ5 mutation was significantly associated with the cure of hypertension. In quality assessment, 7 studies were at serious risk of bias, while the remaining studies were at moderate risk of bias. CONCLUSIONS: This systematic review provided evidence of the significant association between KCNJ5 mutation and unfavorable cardiovascular outcomes in patients with primary aldosteronism. Further research is needed to improve the quality of evidence on this topic and elucidate the underlying mechanisms of the potential burden of KCNJ5 mutation.

Predicting postoperative hypocortisolism in patients with non-aldosterone-producing adrenocortical adenoma: a retrospective single-centre study.

BACKGROUND: Limited information exists on postoperative hypocortisolism and hypothalamus-pituitary-adrenal axis recovery in patients with adrenal incidentaloma following unilateral adrenalectomy. We evaluated frequency of postoperative hypocortisolism and predictors for recovery in non-aldosterone-producing adrenocortical adenoma patients after unilateral adrenalectomy. METHODS: A retrospective analysis of 32 adrenal incidentaloma patients originally included in the ITACA trial (NCT04127552) with confirmed non-aldosterone-producing adrenocortical adenoma undergoing unilateral adrenalectomy from September 2019 to April 2023 was conducted. Preoperative assessments included adrenal MRI, anthropometrics, evaluation of comorbidities, adrenal function assessed via ACTH, urinary free cortisol, and 1 mg dexamethasone suppression test. ACTH and serum cortisol or Short Synacthen test were performed within 6 days, 6 weeks, 6 months, and a year after surgery. RESULTS: Six days postoperative, 18.8% of patients had normal adrenal function. Among those with postoperative hypocortisolism, 53.8% recovered by 6 weeks. Patients with earlier adrenal recovery (6 weeks) had lower preoperative 1 mg dexamethasone suppression test (median 1 mg dexamethasone suppression test 76.2 [61.8-111.0] nmol/L vs 260.0 [113.0-288.5] nmol/L, p < 0.001). Univariate analysis showed preoperative 1 mg dexamethasone suppression test negatively related with baseline ACTH levels (r = - 0.376; p = 0.041) and negatively associated with the 6-week baseline (r = - 0.395, p = 0.034) and 30-min cortisol levels during Short Synacthen test (r = - 0.534, p = 0.023). Logistic regression analysis demonstrated preoperative 1 mg dexamethasone suppression test as the only biochemical predictor for 6-week adrenal recovery: ROC curve identified a 1 mg dexamethasone suppression test threshold of 131 nmol/L predicting 6-week recovery with 89.5% sensitivity and 72.7% specificity (AUC 0.87; 95% CI 66.9-98.7, p < 0.001). Other preoperative assessments (tumor size, ACTH levels and anthropometrics) were not associated with postoperative hypothalamus-pituitary-adrenal axis function, but the presence of diabetes was associated with a lower probability of recovery (OR = 24.55, p = 0.036). ACTH levels increased postoperatively in all patients but did not predict hypothalamus-pituitary-adrenal axis recovery. CONCLUSIONS: The preoperative 1 mg dexamethasone suppression test cortisol value and presence of diabetes are the only relevant predictor of hypothalamus-pituitary-adrenal axis recovery in patients with non-aldosterone- producing adrenocortical adenoma undergoing surgery, regardless other clinical and biochemical variables. Notably, pre- and postoperative ACTH levels did not predict hypothalamus-pituitary-adrenal axis recovery. These findings point towards the potential for saving resources by optimizing their allocation during follow-up assessments for patients with non-aldosterone-producing adrenocortical adenoma undergoing unilateral adrenalectomy.

Vascular endothelial growth factor and endocan expression in adrenal cortical tumors and their relationship with histopathological prognostic parameters.

The aim of this study was to determine the tissue expressions of vascular endothelial growth factor (VEGF) and endocan in adrenal cortical tumors and the factors associated with them. The study included 6 subjects with adrenocortical adenoma (ACA), 7 subjects with adrenocortical carcinoma (ACC), and 13 control subjects with a normal adrenal cortex. The status of VEGF and endocan expression was determined by the proportions of cells staining on a scale ranging from negative (not staining at all) to strongly positive. VEGF expression was detected in 1 (16.7%) of 6 subjects in the ACA group and in 6 (85.7%) of 7 subjects in the ACC group. VEGF expression was not detected in any of the subjects in the control group. Endocan expression was detected in 6 (100%) of 6 subjects in the ACA group and in 7 (100%) of 7 subjects in the ACC group, while it was detected in only 4 (30.7%) of 13 subjects in the control group. VEGF was expressed with a high frequency in subjects with ACC and with a low frequency in subjects with ACA, but it was not expressed in subjects with normal adrenal cortex tissue. Although endocan was expressed with a higher frequency in subjects with ACC and ACA, it was also expressed in subjects with normal adrenal cortex tissue. The percentage of cells expressed endocan in subjects with ACC was also significantly higher than in subjects with both ACA and normal adrenal cortex.

Epigenetic alterations of 11beta-hydroxysteroid dehydrogenase 1 gene in the adipose tissue of patients with primary aldosteronism.

11Beta-hydroxysteroid dehydrogenase 1 (11ß-HSD1) is a key enzyme involved in metabolic syndrome. Transcript-specific epigenetic regulation of the gene encoding 11ß-HSD1 (HSD11B1) has been reported. We examined the mRNA level and methylation status of the HSD11B1 promoter region in the adipose tissue of patients with primary aldosteronism (PA). We compared 10 tissue specimens from patients with PA caused by aldosterone-producing adenoma (APA) with 8 adipose tissue specimens from patients with subclinical Cushing's syndrome (SCS) caused by cortisol-producing adenomas, 4 tissue specimens from patients with Cushing's adenoma (Cu), or 7 tissue specimens from patients with non-functioning adrenal adenoma (NFA). PA, SCS, and Cu were diagnosed according to the guideline of the Japan Endocrine Society. The mRNA level of HSD11B1 was quantified using real-time PCR. Isolated DNA was treated with bisulfite and amplified using primers specific to the human HSD11B1 promoter region. The glycohemoglobin level was significantly higher in patients with APA, SCS, or Cu than in those with NFA (p < 0.05). Blood pressure was significantly higher in patients with APA than in those with SCS, Cu, or NFA (p < 0.01). The HSD11B1 mRNA level was significantly increased in the adipose tissues of APA or SCS patients compared with Cu or NFA patients (p < 0.05). The methylation ratio was significantly lower in SCS patients than in APA, Cu, or NFA patients (p < 0.05). HSD11B1 expression is partly controlled by an epigenetic mechanism in human tissues. The pathophysiological role of epigenetic regulation of HSD11B1 expression in adipose tissue requires further study.

Classic congenital adrenal hyperplasia with unilateral functional adrenal cortical adenoma: case report.

Congenital adrenal hyperplasia (CAH) is a group of autosomal recessive disorders related to adrenal steroid biosynthesis, and mainly caused by mutations in the CYP21A2 gene encoding 21-hydroxylase. Adrenal tumors are common in CAH, but functional adrenal tumors are rare. Here, we report a 17-year-old female with virilized external genitalia and primary amenorrhea, accompanied by a right adrenal tumor. Her 17-OHP level was normal, cortisol and androgen levels were significantly elevated, and the tumor pathology showed adrenal cortical adenoma. Gene testing for CYP21A2 showed c.518T > A in exon 4 and c.29313C > G in intron 2. The possibility of untreated classic CAH with 21-OH deficiency causing functional adrenal cortical adenoma should be considered. When clinical diagnosis highly considers CAH and cannot rule out the influence of functional adrenal tumors' secretion function on 17-OHP, gene mutation analysis should be performed.

Distinguishing between aldosterone-producing adenomas and non-functional adrenocortical adenomas using the YOLOv5 network.

BACKGROUND: You Only Look Once version 5 (YOLOv5), a one-stage deep-learning (DL) algorithm for object detection and classification, offers high speed and accuracy for identifying targets. PURPOSE: To investigate the feasibility of using the YOLOv5 algorithm to non-invasively distinguish between aldosterone-producing adenomas (APAs) and non-functional adrenocortical adenomas (NF-ACAs) on computed tomography (CT) images. MATERIAL AND METHODS: A total of 235 patients who were diagnosed with ACAs between January 2011 and July 2022 were included in this study. Of the 215 patients, 81 (37.7%) had APAs and 134 (62.3%) had NF-ACAs' they were randomly divided into either the training set or the validation set at a ratio of 9:1. Another 20 patients, including 8 (40.0%) with APA and 12 (60.0%) with NF-ACA, were collected for the testing set. Five submodels (YOLOv5n, YOLOv5s, YOLOv5m, YOLOv5l, and YOLOv5x) of YOLOv5 were trained and evaluated on the datasets. RESULTS: In the testing set, the mAP_0.5 value for YOLOv5x (0.988) was higher than the values for YOLOv5n (0.969), YOLOv5s (0.965), YOLOv5m (0.974), and YOLOv5l (0.983). The mAP_0.5:0.95 value for YOLOv5x (0.711) was also higher than the values for YOLOv5n (0.587), YOLOv5s (0.674), YOLOv5m (0.671), and YOLOv5l (0.698) in the testing set. The inference speed of YOLOv5n was 2.4 ms in the testing set, which was the fastest among the five submodels. CONCLUSION: The YOLOv5 algorithm can accurately and efficiently distinguish between APAs and NF-ACAs on CT images, especially YOLOv5x has the best identification performance.

What We Know about and What Is New in Primary Aldosteronism.

Primary aldosteronism (PA), a significant and curable cause of secondary hypertension, is seen in 5-10% of hypertensive patients, with its prevalence contingent upon the severity of the hypertension. The principal aetiologies of PA include bilateral idiopathic hypertrophy (BIH) and aldosterone-producing adenomas (APAs), while the less frequent causes include unilateral hyperplasia, familial hyperaldosteronism (FH) types I-IV, aldosterone-producing carcinoma, and ectopic aldosterone synthesis. This condition, characterised by excessive aldosterone secretion, leads to augmented sodium and water reabsorption alongside potassium loss, culminating in distinct clinical hallmarks: elevated aldosterone levels, suppressed renin levels, and hypertension. Notably, hypokalaemia is present in only 28% of patients with PA and is not a primary indicator. The association of PA with an escalated cardiovascular risk profile, independent of blood pressure levels, is notable. Patients with PA exhibit a heightened incidence of cardiovascular events compared to counterparts with essential hypertension, matched for age, sex, and blood pressure levels. Despite its prevalence, PA remains frequently undiagnosed, underscoring the imperative for enhanced screening protocols. The diagnostic process for PA entails a tripartite assessment: the aldosterone/renin ratio (ARR) as the initial screening tool, followed by confirmatory and subtyping tests. A positive ARR necessitates confirmatory testing to rule out false positives. Subtyping, achieved through computed tomography and adrenal vein sampling, aims to distinguish between unilateral and bilateral PA forms, guiding targeted therapeutic strategies. New radionuclide imaging may facilitate and accelerate such subtyping and localisation. For unilateral adrenal adenoma or hyperplasia, surgical intervention is optimal, whereas bilateral idiopathic hyperplasia warrants treatment with mineralocorticoid antagonists (MRAs). This review amalgamates established and emerging insights into the management of primary aldosteronism.

Expression Patterns of MOTS-c in Adrenal Tumors: Results from a Preliminary Study.

Adrenal tumors, such as adrenocortical carcinoma (ACC), adrenocortical adenoma (ACA), and pheochromocytoma (PCC) are complex diseases with unclear causes and treatments. Mitochondria and mitochondrial-derived peptides (MDPs) are crucial for cancer cell survival. The primary aim of this study was to analyze samples from different adrenal diseases, adrenocortical carcinoma, adrenocortical adenoma, and pheochromocytoma, and compare them with normal adrenal tissue to determine whether the expression levels of the mitochondrial open reading frame of the 12S rRNA type-c (MOTS-c) gene and protein vary between different types of adrenal tumors compared to healthy controls using qPCR, ELISA, and IHC methods. Results showed decreased MOTS-c mRNA expression in all adrenal tumors compared to controls, while serum MOTS-c protein levels increased in ACA and PCC but not in ACC. The local distribution of MOTS-c protein in adrenal tissue was reduced in all tumors. Notably, MOTS-c protein expression declined with ACC progression (stages III and IV) but was unrelated to patient age or sex. Tumor size and testosterone levels positively correlated with MOTS-c mRNA but negatively with serum MOTS-c protein. Additionally, serum MOTS-c protein correlated positively with glucose, total cholesterol, HDL, LDL, and SHGB levels. These findings suggest disrupted expression of MOTS-c in the spectrum of adrenal diseases, which might be caused by mechanisms involving increased mitochondrial dysfunction and structural changes in the tissue associated with disease progression. This study provides a detailed examination of MOTS-c mRNA and protein in adrenal tumors, indicating the potential role of MDPs in tumor biology and progression.

[Research progress of KCNJ5 gene in aldosterone-producing adenoma].

Aldosterone-producing adenoma is a subtype of primary aldosteronism. Recent advancements in multi-omics research have led to significant progress in understanding primary aldosteronism at the genetic level. Among the various genes associated with the development of aldosterone-producing adenomas, the KCNJ5 (potassium inwardly rectifying channel, subfamily J, member 5) gene has received considerable attention due to its prevalence as the most common somatic mutation gene in primary aldosteronism. This paper aims to integrate the existing evidence on the involvement of KCNJ5 gene in the pathogenesis of aldosterone-producing adenomas, to enhance the understanding of the underlying mechanisms of aldosterone-producing adenomas from the perspective of genetics, and to provide novel insights for the clinical diagnosis and treatment of aldosterone-producing adenomas.

[The value of dehydroepiandrosterone sulfate in the differential diagnosis of primary bilateral adrenal macronodular hyperplasia].

Objective: To investigate the value of serum dehydroepiandrosterone sulfate (DHEAS) in the differential diagnosis of primary bilateral macronodular adrenal hyperplasia (PBMAH) from nonfunctional adenoma tumors (NFA), adrenocortical adenoma (ADA) and Cushing's disease (CD). Methods: A cross-sectional study. The clinical data of 302 patients with PBMAH, NFA, ADA and CD diagnosed and treated in the First Medical Center of PLA General Hospital from January 2010 to June 2021 were retrospectively analyzed. Among them, 97 were males and 205 were females, aged (45.7±7.2) years. The area under receiver operating characteristic (ROC) curve was used to evaluate the DHEAS ratio (serum DHEAS value divided by the lower limit of normal reference range for the corresponding age and sex) and the 8∶00 adrenocorticotropic hormone (ACTH) level in the differential diagnosis of PBMAH from NFA, ADA and CD. The maximum value of Youden index was cut-off value. Results: Among the 302 patients, 33 were in PBMAH group, 125 were in NFA group, 67 were in ADA group, and 77 were in CD group. The DHEAS ratio in CD group, NFA group, PBMAH group and ADA group decreased successively, with values of 6.34(4.44, 9.93), 3.37(2.24, 4.79), 1.14(1.04, 2.40) and 0.58(0.27, 1.05), respectively. There was statistical significance among all groups (all P<0.01). The area under the ROC curve for distinguishing PBMAH from NFA, ADA and CD were 0.803, 0.741 and 0.930, and the cut-off value were 2.59, 0.99 and 2.92, respectively. The sensitivity was 66.1%, 64.2% and 87.9%, respectively. The specificity was 81.8%, 81.2% and 85.7%. According to the level of 8∶00 ACTH, PBMAH was divided into ACTH-inhibited group (ACTH<2.2 pmol/L,n=18) and ACTH-non-inhibited group (ACTH≥2.2 pmol/L, n=15).The DHEAS ratio in ACTH-non-inhibited PBMAH group was higher than that in ACTH-inhibited PBMAH group(P<0.01).The area under ROC curve of DHEAS ratio for identifying ACTH-non-inhibited PBMAH and CD was 0.877, the cut-off value was 4.55, the sensitivity was 93.3%, and the specificity was 75.3%. If the DHEAS ratio combined with 8∶00 ACTH was used as a differential diagnostic indicator, the area under the ROC curve for distinguishing ACTH-non-inhibitory PBMAH from CD can reach 0.967, with the sensitivity of 100.0% and the specificity of 81.8%. Conclusions: DHEAS ratios is different in PBMAH, NFA, ADA and CD patients, which can assist in the differential diagnosis of PBMAH from NFA、ADA and CD patients, especially in the differential diagnosis of ACTH-non-inhibited PBMAH patients and CD patients.

In Situ Metabolomics of Cortisol-Producing Adenomas.

BACKGROUND: Recent advances in omics techniques have allowed detailed genetic characterization of cortisol-producing adrenal adenoma (CPA). In contrast, the pathophysiology of CPAs has not been elucidated in detail on the level of tumor metabolic alterations. METHODS: The current study conducted a comprehensive mass spectrometry imaging (MSI) map of CPAs in relation to clinical phenotypes and immunohistochemical profiles of steroidogenic enzymes. The study cohort comprised 46 patients with adrenal tumors including CPAs (n 35) and nonfunctional adenomas (n 11). RESULTS: Severity of cortisol hypersecretion was significantly correlated with 29 metabolites (adjusted P 0.05). Adrenal androgens derived from the classic androgen pathway were inversely correlated with both cortisol secretion (rs 0.41, adjusted P 0.035) and CYP11B1 expression (rs 0.77, adjusted P 2.00E-08). The extent of cortisol excess and tumor CYP11B1 expression further correlated with serotonin (rs 0.48 and 0.62, adjusted P 0.008 and 2.41E-05). Tumor size was found to be correlated with abundance of 13 fatty acids (adjusted P 0.05) and negatively associated with 9 polyunsaturated fatty acids including phosphatidic acid 38:8 (rs 0.56, adjusted P 0.009). CONCLUSIONS: MSI reveals novel metabolic links between endocrine function and tumorigenesis, which will further support the understanding of CPA pathophysiology.

Node-by-node diagnosis for multiple ipsilateral nodules by segmental adrenal venous sampling in primary aldosteronism.

OBJECTIVES: In patients with primary aldosteronism (PA), multiple adrenocortical nodules may be present on the surgical side. The aim of this study was to clarify the pathological diagnosis and the node-by-node diagnostic capability of segmental adrenal venous sampling (sAVS). DESIGN: Retrospective study. PATIENTS: A total of 162 patients who underwent adrenalectomy following sAVS were studied. MEASUREMENTS: Multiple nodules on the surgical side were extracted while referring to contrast-enhanced computed tomography images. We also performed a detailed histopathological analysis of the resected specimens from patients undergoing sAVS, which included immunohistochemistry for CYP11B2. RESULTS: In 11 (6.8%) patients, two to three nodules were detected on the surgical side. All patients were diagnosed by sAVS with at least one aldosterone-producing adenoma (APA) for localized aldosterone elevation in tributaries. Seven patients showed a lateralization index value of ≥4 after ACTH stimulation. Histopathologically and clinically, two patients had two or three CYP11B2-positive APAs, and the other nine patients both APAs and non-APAs. The positive predictive value of the most suspected APA, that is, the drainer that showed the highest aldosterone level by sAVS, was 11/11 (100%, 95% confidence interval [CI]: 71.5%-100%), while that for the second and third suspected APA was 3/7 (42.9%, 95% CI: 9.9%-81.6%), and they were significantly different (p = .01). Further, the positive predictive value of non-APA was 4/4 (100%, 95% CI: 39.8%-100%). CONCLUSIONS: The sAVS could correctly diagnose the aldosterone production in multiple ipsilateral adrenal nodules.

Prognostic models to predict complete resolution of hypertension after adrenalectomy in primary aldosteronism: A systematic review and meta-analysis.

Complete resolution of hypertension (CRH) after adrenalectomy for primary aldosteronism is far from a certainty. Although several prognostic models have been proposed to predict outcome after adrenalectomy, studies have not clarified which of the available models can be used reliably in clinical practice. To identify, describe and appraise all prognostic models developed to predict CRH, and meta-analyse their predictive performances. We searched MEDLINE, Embase and Web of Science for development and validation studies of prognostic models. After selection, we extracted descriptive statistics and aggregated area under the receiver operator curve (AUC) using meta-analysis. From 25 eligible studies, we identified 12 prognostic models used for predicting CRH after total adrenalectomy in primary aldosteronism. We report the results for 3 models that had available data from at least 3 external validation studies: the primary aldosteronism surgical outcome (PASO) score (AUC: 0.81; 95% confidence interval [CI]: 0.74-0.86; 95% predictive interval [PI]: 0.04-1.00), Utsumi nomogram (AUC: 0.79; 95% CI: 0.72-0.85; 95% PI: 0.03-1.00) and the aldosteronoma resolution score (ARS) model (AUC: 0.77; 95% CI: 0.74-0.80; 95% PI: 0.59-0.86 for all studies and AUC: 0.80; 95% CI: 0.75-0.85; 95% PI: 0.57-0.93 for the studies with the same adrenal vein sampling-guided adrenalectomy rate compared to the models meta-analysed). The PASO score, Utsumi nomogram and ARS model showed comparable discrimination performance to predict CRH in primary aldosteronism. Unlike the ARS model, the number of external validation studies for the PASO score and the Utsumi nomogram was relatively low to draw definite conclusions.

Using CT radiomic features based on machine learning models to subtype adrenal adenoma.

BACKGROUND: Functioning and non-functioning adrenocortical adenoma are two subtypes of benign adrenal adenoma, and their differential diagnosis is crucial. Current diagnostic procedures use an invasive method, adrenal venous sampling, for endocrinologic assessment. METHODS: This study proposes establishing an accurate differential model for subtyping adrenal adenoma using computed tomography (CT) radiomic features and machine learning (ML) methods. Dataset 1 (289 patients with adrenal adenoma) was collected to develop the models, and Dataset 2 (54 patients) was utilized for external validation. Cuboids containing the lesion were cropped from the non-contrast, arterial, and venous phase CT images, and 1,967 features were extracted from each cuboid. Ten discriminative features were selected from each phase or the combined phases. Random forest, support vector machine, logistic regression (LR), Gradient Boosting Machine, and eXtreme Gradient Boosting were used to establish prediction models. RESULTS: The highest accuracies were 72.7%, 72.7%, and 76.1% in the arterial, venous, and non-contrast phases, respectively, when using radiomic features alone with the ML classifier of LR. When features from the three CT phases were combined, the accuracy of LR reached 83.0%. After adding clinical information, the area under the receiver operating characteristic curve increased for all the machine learning methods except for LR. In Dataset 2, the accuracy of LR was the highest, reaching 77.8%. CONCLUSION: The radiomic features of the lesion in three-phase CT images can potentially suggest the functioning or non-functioning nature of adrenal adenoma. The resulting radiomic models can be a non-invasive, low-cost, and rapid method of minimizing unnecessary testing in asymptomatic patients with incidentally discovered adrenal adenoma.

Dual Energy-Derived Metrics for Differentiating Adrenal Adenomas From Nonadenomas on Single-Phase Contrast-Enhanced CT.

BACKGROUND. Adrenal masses are often indeterminate on single-phase postcontrast CT. Dual-energy CT (DECT) with three-material decomposition algorithms may aid characterization. OBJECTIVE. The purpose of this study was to compare the diagnostic performance of metrics derived from portal venous phase DECT, including virtual noncontrast (VNC) attenuation, fat fraction, iodine density, and relative enhancement ratio, for characterizing adrenal masses. METHODS. This retrospective study included 128 patients (82 women, 46 men; mean age, 64.6 ± 12.7 [SD] years) who between January 2016 and December 2019 underwent portal venous phase abdominopelvic DECT that showed a total of 139 adrenal lesions with an available reference standard based on all imaging, clinical, and pathologic records (87 adenomas, 52 nonadenomas [48 metastases, two adrenal cortical carcinomas, one ganglioneuroma, one hematoma]). Two radiologists placed ROIs to determine the following characteristics of the masses: VNC attenuation, fat fraction, iodine density normalized to portal vein, and for masses with VNC greater than 10 HU, relative enhancement ratio (ratio of portal venous phase attenuation to VNC attenuation). Readers' mean measurements were used for ROC analyses, and clinically optimal thresholds were derived as thresholds yielding the highest sensitivity at 100% specificity. RESULTS. Adenomas and nonadenomas were significantly different (all p < .001) in VNC attenuation (mean ± SD, 18.5 ± 12.9 vs 34.1 ± 8.9 HU), fat fraction (mean ± SD, 24.3% ± 8.2% vs 14.2% ± 5.6%), normalized iodine density (mean ± SD, 0.34 ± 0.15 vs 0.17 ± 0.17), and relative enhancement ratio (mean ± SD, 186% ± 96% vs 58% ± 59%). AUCs for all metrics ranged from 0.81 through 0.91. The metric with highest sensitivity for adenoma at the clinically optimal threshold (i.e., 100% specificity) was fat fraction (threshold, ≥ 23.8%; sensitivity, 59% [95% CI, 48-69%]) followed by VNC attenuation (≤ 15.2 HU; sensitivity, 39% [95% CI, 29-50%]), relative enhancement ratio (≥ 214%; sensitivity, 37% [95% CI, 25-50%]), and normalized iodine density (≥ 0.90; sensitivity, 1% (95% CI, 0-60%]). VNC attenuation at the traditional true noncontrast attenuation threshold of 10 HU or lower had sensitivity of 28% (95% CI, 19-38%) and 100% specificity. Presence of fat fraction 23.8% or greater or relative enhancement ratio 214% or greater yielded sensitivity of 68% (95% CI, 57-77%) with 100% specificity. CONCLUSION. For adrenal lesions evaluated with single-phase DECT, fat fraction had higher sensitivity than VNC attenuation at both the clinically optimal threshold and the traditional threshold of 10 HU or lower. CLINICAL IMPACT. By helping to definitively diagnose adenomas, DECT-derived metrics can help avoid downstream imaging for incidental adrenal lesions.