Influence of sex and functional status on the value of serum steroid profiling in discriminating adrenocortical carcinoma from adrenocortical adenoma.

Background: It is challenging for clinicians to distinguish adrenocortical carcinoma (ACC) from benign adrenocortical adenomas (ACA) in their early stages. This study explored the value of serum steroid profiling as a complementary biomarker for malignancy diagnosis of ACC other than diameter and explored the influence of sex and functional status. Methods: In this retrospective study, a matched cohort of patients diagnosed with either ACC or ACA based on histopathology was meticulously paired in a 1:1 ratio according to sex, age, and functional status. Eight serum steroids including 11-deoxycortisol, 11-deoxycorticosterone, progesterone, androstenedione, dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), 17-hydroxyprogesterone, and estradiol, were quantified by liquid chromatography tandem mass spectrometry. We conducted a comparative analysis of the clinical characteristics and serum steroid profiles of patients with ACC and ACA, with further subgroup analysis. Results: The study included 31 patients with ACC and 31 matched patients with ACA. Patients with ACC exhibited significantly larger tumor diameters, lower body mass index (BMI), and higher levels of 11-deoxycortisol, progesterone, and androstenedione than those with ACA. 11-deoxycortisol was the only valuable index for discriminating ACC from ACA, regardless of functional status and sex. Progesterone, DHEA, and DHEAS levels were higher in the functional ACC group than in the non-functional ACC group. Female ACC patients, especially in postmenopausal female exhibited higher levels of androstenedione than male patients. The area under the curve of tumor diameter, 11-deoxycortisol, and BMI was 0.947 (95% CI 0.889-1.000), with a sensitivity of 96.8% and specificity of 90.3%. Conclusion: Serum steroid profiling serves as a helpful discriminative marker for ACC and ACA, with 11-deoxycortisol being the most valuable marker. For other steroid hormones, consideration of sex differences and functional status is crucial.

A novel model using leukocytes to differentiating mild autonomous cortisol secretion and non-functioning adrenal adenoma.

BACKGROUND: Mild autonomous cortisol secretion (MACS) accounts for a significant proportion of adrenal incidentaloma. Current endocrinological screening tests for MACS are complex, particularly in areas with limited medical resources. This study aimed to develop a diagnostic tool based on leukocyte-related parameters to differentiate between MACS and non-functioning adrenal adenoma (NFA). METHODS: Inthis retrospective case-control study, propensity score-matching was used to select 567 patients from a cohort of 1108 patients (201 MACS, 907 NFA). External validation cohort included 52MACS and 48 NFA from two hospitals, which did not overlap with the modeling cohort patients. Leukocyte-related parameters were evaluated, and the diagnostic efficacy of each parameter was assessed by calculating Youden's J index (J) and the area under the curve (AUC). The study population was divided into training and testing samples using a 10-fold cross-validation method. Machine learning (ML) and classification and regression tree (CART) model were established. RESULTS: After propensity score matching, 567 patients were enrolled, including 197 MACS and 370 NFA. With the exception of basophil percentage, all other parameters differed significantly between the two groups. Lymphocyte count, lymphocyte percentage, eosinophils count, eosinophils percentage, and basophil percentage were lower in the MACS group compared to the NFA group. Eosinophils percentage demonstrated the highest AUC (0.650), with a sensitivity of 51.3% and specificity of 73.2%. The ML model, based on multiple parameters,exhibited better performance in diagnosing MACS (sensitivity 76%, specificity 77.4%, and AUC 0.818). A clinically usable CART model achieved an AUC of 0.872, with a sensitivity of 95% and a specificity of 75.7%.  In the validation cohort, the prediction accuracy of the ML model and the CART model were 0.784 and 0.798, respectively. CONCLUSION: TheCART diagnostic model, constructed based on leukocyte-related parameters, could assist clinicians in distinguishing between MACS and NFA.

Presentation and management of patients with adrenal masses: a large tertiary centre experience.

BACKGROUND: Adrenal masses are found in up to 5%-7% of adults. The 2016 European guidelines on the management of adrenal incidentalomas have standardised the workup of these patients, but evidence of their impact on clinical practice is lacking. METHODS: Retrospective review of clinical presentation, radiological characteristics, and final diagnosis of a large cohort of patients with adrenal masses referred to a tertiary care centre 1998-2022. Sub-analysis compares outcomes before and after implementing the 2016 guidelines. RESULTS: A total of 1397 patients (55.7% women; median age 60 years [interquartile range {IQR}, 49-70]) were included. Incidental discovery was the most frequent mode of presentation (63.7%) and 30.6% of patients had masses ≥ 4 cm (median 2.9 cm [IQR, 1.9-4.7]). Unenhanced computed tomography Hounsfield units (HU) were available for 763 patients; of these, 32.9% had heterogeneous masses or >20 HU. The most common diagnoses were adrenocortical adenoma (56.0%), phaeochromocytoma (12.7%), adrenocortical carcinoma (10.6%), and metastases (5.7%). At multivariable analysis, significant predictors of malignancy included >20 HU or heterogeneous density (odds ratio [OR] 28.40), androgen excess (OR 27.67), detection during cancer surveillance (OR 11.34), size ≥ 4 cm (OR 6.11), and male sex (OR 3.06). After implementing the 2016 guidelines, the number of adrenalectomies decreased (6.1% pre-2016 vs 4.5% post-2016) and the number of patients discharged increased (4.4% pre-2016 vs 25.3% post-2016) for benign non-functioning adrenal masses. CONCLUSION: Implementing the 2016 guidelines positively impacted clinical practice, reducing unnecessary surgeries and increasing the discharge rate for benign adrenal masses, thereby preserving healthcare resources and patient burden.

[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.

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.

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.

[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.

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.

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.

Double CYP11B1/CYP11B2 Immunohistochemistry and Detection of KCNJ5 Mutations in Primary Aldosteronism.

CONTEXT: The search for somatic mutations in adrenals resected from patients with primary aldosteronism (PA) is performed by Sanger sequencing, often implemented with immunohistochemistry (IHC)-guidance focused on aldosterone-producing (CYP11B2-positive) areas. OBJECTIVE: To investigate the impact of double IHC for CYP11B1 and CYP11B2 on Sanger and next-generation sequencing (NGS). METHODS: We investigated 127 consecutive adrenal aldosterone-producing adenomas from consenting surgically cured PA patients using double IHC for CYP11B1 and CYP11B2, by Sanger sequencing and NGS. RESULTS: Double IHC for CYP11B2 and CYP11B1 revealed 3 distinct patterns: CYP11B2-positive adenoma (pattern 1), mixed CYP11B1/CYP11B2-positive adenoma (pattern 2), and adrenals with multiple small CYP11B2-positive nodules (pattern 3). Sanger sequencing allowed detection of KCNJ5 mutations in 44% of the adrenals; NGS revealed such mutations in 10% of those negative at Sanger and additional mutations in 61% of the cases. Importantly the rate of KCNJ5 mutations differed across patterns: 17.8% in pattern 1, 71.4% in pattern 2, and 10.7% in pattern 3 (χ2 = 22.492, P < .001). CONCLUSION: NGS allowed detection of mutations in many adrenals that tested negative at Sanger sequencing. Moreover, the different distribution of KCNJ5 mutations across IHC patterns indicates that IHC-guided sequencing protocols selecting CYP11B2-positive areas could furnish results that might not be representative of the entire mutational status of the excised adrenal, which is important at a time when KCNJ5 mutations are suggested to drive management of patients with aldosterone-producing adenomas.

Clinical and imaging presentations are associated with function in incidental adrenocortical adenomas: a retrospective cohort study.

OBJECTIVE: The aim of this study is to assess whether clinical and imaging characteristics are associated with the hormonal subtype, growth, and adrenalectomy for incidental adrenal cortical adenomas (ACAs). DESIGN: This is a single-center cohort study. METHODS: Consecutive adult patients with incidental ACA were diagnosed between 2000 and 2016. RESULTS: Of the 1516 patients with incidental ACA (median age 59 years, 62% women), 699 (46%) had nonfunctioning adenomas (NFAs), 482 (31%) had mild autonomous cortisol secretion (MACS), 62 (4%) had primary aldosteronism (PA), 39 (3%) had Cushing syndrome, 18 (1%) had PA and MACS, and 226 (15%) had incomplete work-up. Age, sex, tumor size, and tumor laterality, but not unenhanced computed tomography Hounsfield units (HU), were associated with hormonal subtypes. In a multivariable analysis, ≥1 cm growth was associated with younger age (odds ratio [OR] = 0.8 per 5-year increase, P = .0047) and longer imaging follow-up (OR = 1.2 per year, P < .0001). Adrenalectomy was performed in 355 (23%) patients, including 38% of MACS and 15% of NFA. Adrenalectomy for NFA and MACS was more common in younger patients (OR = 0.79 per 5-year increase, P = .002), larger initial tumor size (OR = 2.3 per 1 cm increase, P < .0001), ≥1 cm growth (OR = 15.3, P < .0001), and higher postdexamethasone cortisol (OR = 6.6 for >5 vs <1.8 µg/dL, P = .002). CONCLUSIONS: Age, sex, tumor size, and laterality were associated with ACA hormonal subtype and can guide diagnosis and management. Tumor growth was more common with younger age and longer follow-up. Unenhanced HU did not predict hormonal subtype or growth. Adrenalectomy for MACS and NFA was mainly performed in younger patients with larger tumor size, growth, and elevated postdexamethasone cortisol.

Oncocytic adrenal cortical adenoma: a benign lesion mimicking malignancy.

Adrenocortical tumours are rare in children and account for only 0.3%-0.4% of all neoplasms in childhood. They present with variable signs and symptoms, depending on the type of hormonal hypersecretion. The majority of the adrenocortical tumours in children are functional (90%) and malignant (88%). Here, we describe a functional plurihormonal oncocytic adrenal cortical adenoma in a young girl, that mimicked a malignant adrenal lesion, clinically as well as on imaging and biochemical features. This report bears the objective of being aware of the atypical biochemical as well as imaging characteristics of oncocytic adrenal tumours.

Ectopic adrenocortical adenoma characterized by hypogonadism: a case report and review of the literature.

BACKGROUND: Currently, there is a scarcity of cases and diagnostic data regarding ectopic adrenocortical adenomas, particularly in relation to their impact on gonadal function and localization diagnostic techniques. We report a typical case of ectopic adrenocortical adenomas and the data of treatment follow-up, and review the literature of 31 available cases of ectopic adrenocortical adenomas. CASE PRESENTATION: A 27-year-old Chinese female patient was admitted to our hospital for hypertension, hyperglycaemia and primary amenorrhea. The patient was functionally diagnosed with ACTH-independent CS and hypogonadotropic hypogonadism. Radiological evaluations, including Computed Tomography (CT) and functional imaging, identified a mass at the left renal hilum. Histological assessments post-surgical excision confirmed the mass to be an ectopic adrenocortical adenoma. A subsequent 3-month follow-up showed no signs of disease recurrence, a swift recovery of the cortisol axis was observed, with a partial recuperation of the gonadal axis. REVIEW: Our literature review shows that the most common ectopic areas of cortisol adenomas are renal hilum and hepatic region. The most positive biomarker is Melan A, and only a few cases have been diagnosed with functional localization. CONCLUSION: Ectopic adrenocortical adenomas may be asymptomatic in the early stage and can impact gonadal function. Physicians who treat hypogonadism must be aware of the need to test cortisol levels and perform functional localization in patients with lumps present.

Multimodal integration of radiology and pathology signatures for distinguishing between aldosterone-producing adenomas and nonfunctional adrenal adenomas.

OBJECTIVE: To develop and validate a nomogram combining radiomics and pathology features to distinguish between aldosterone-producing adenomas (APAs) and nonfunctional adrenal adenomas (NF-AAs). METHODS: Consecutive patients diagnosed with adrenal adenomas via computed tomography (CT) or pathologic analysis between January 2011 and November 2022 were eligible for inclusion in this retrospective study. CT images and hematoxylin & eosin-stained slides were used for annotation and feature extraction. The selected radiomics and pathology features were used to develop a risk model using various machine learning models, and the area under the receiver operating characteristic curve (AUC) was determined to evaluate diagnostic performance. The predicted results from radiomics and pathology features were combined and visualized using a nomogram. RESULTS: A total of 211 patients (APAs, n = 59; NF-AAs, n = 152) were included in this study, with patients randomly divided into either the training set or the testing set at a ratio of 8:2. The ExtraTrees model yielded a sensitivity of 0.818, a specificity of 0.733, and an accuracy of 0.756 (AUC = 0.817; 95% confidence interval [CI]: 0.675-0.958) in the radiomics testing set and a sensitivity of 0.999, a specificity of 0.842, and an accuracy of 0.867 (AUC = 0.905, 95% CI: 0.792-1.000) in the pathology testing set. A nomogram combining radiomics and pathology features demonstrated a strong performance (AUC = 0.912; 95% CI: 0.807-1.000). CONCLUSION: A nomogram combining radiomics and pathology features demonstrated strong predictive accuracy and discrimination capability. This model may help clinicians to distinguish between APAs and NF-AAs.

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.

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.

Intracellular Calcium Dynamics in Primary Human Adrenocortical Cells Deciphered with a Novel Pipeline.

INTRODUCTION: The fluctuations of the intracellular Ca2+ concentration ([Ca2+]i) are key physiological signals for cell function under normal conditions and can undergo profound alterations in disease states, as high blood pressure due to endocrine disorders like primary aldosteronism (PA). However, when assessing such fluctuations several parameters in the Ca2+ signal dynamics need to be considered, which renders their assessment challenging. AIM: Aim to develop an observer-independent custom-made pipeline to analyze Ca2+ dynamics in terms of frequency and peak parameters, as amplitude, full width at half maximum (FWHM) and area under the curve (AUC). METHODS: We applied a custom-made methodology to aldosterone-producing adenoma (APA) and APA adjacent cells (AAC) and found this pipeline to be suitable for monitoring and processing a wide-range of [Ca2+]i events in these cell types delivering reproducible results. CONCLUSION: The designed pipeline can provide a useful tool for [Ca2+]i signal analysis that allows comparisons of Ca2+ dynamics not only in PA, but in other cell phenotypes that are relevant for the regulation of blood pressure.

Diagnostic and prognostic assessments of adrenocortical carcinomas by pathological features, immunohistochemical markers and reticular histochemistry staining.

BACKGROUND: Current diagnostic criteria of adrenocortical neoplasms are mostly based on morphology. The utility of immunohistochemistry (IHC) and histochemistry is limited. MATERIALS AND METHODS: To evaluate the diagnostic and prognostic utility of clinicopathological features, morphology, ancillary biomarkers, and reticular histochemistry in adrenocortical neoplasms. We examined 28 adrenocortical carcinomas (ACCs) and 50 adrenocortical adenomas (ACAs) obtained from pathology archives. Clinical data were retrieved from medical records. Two pathologists independently assessed hematoxylin and eosin-stained slides, employing modified Weiss criteria for all tumors and Lin-Weiss-Bisceglia criteria for oncocytic variants. Immunohistochemical markers (Calretinin, alpha-inhibin, MelanA, SF-1, Ki-67, PHH3, IGF-2, ß-catenin, P53, CYP11B1, CYP11B2, MLH1, MSH2, MSH6, PMS2, EPCAM) and Gomori's Silver histochemistry were applied. Statistical analysis utilized SPSS Statistics 26. RESULTS: ACCs exhibited larger tumor sizes (P<0.001) and symptomatic presentations (P = 0.031) compared to ACAs. Parameters of modified Weiss criteria and angioinvasion demonstrated diagnostic value for ACCs. Six immunohistochemical antibodies((MelanA, Ki-67, IGF-2, ß-catenin, P53 and CYP11B1) and reticulin framework alterations showed diagnostic value. Notably, Ki-67 and reticulin staining were most recommended. Evident reticulin staining was frequently present in ACCs (P<0.001). Ki-67 was significantly higher in ACCs (P<0.001). Twenty-one conventional and seven oncocytic entities showed different necrosis frequencies. Symptoms and Ki-67 index ≥ 30% were prognostic for ACCs, correlating with shorter survival. CONCLUSIONS: This study emphasizes the diagnostic value of reticulin framework alterations and a high Ki-67 index. Markers such as CYP11B1, IGF2, P53, ß-catenin and MelanA also contribute to the diagnosis of ACCs. Symptoms and Ki-67 index ≥ 30% predict shorter survival. These findings encourges the use of ancillary markers such as reticulin histochemistry and Ki-67 in the workup of evaluations of adrenocortical neoplasms.

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.

Differentiation between adrenocortical carcinoma and lipid-poor adrenal adenoma using a multiparametric MRI-based diagnostic algorithm.

PURPOSE: The purpose of this study was to evaluate the capabilities of multiparametric magnetic resonance imaging (MRI) in differentiating between lipid-poor adrenal adenoma (LPAA) and adrenocortical carcinoma (ACC). MATERIALS AND METHODS: Patients of two centers who underwent surgical resection of LPAA or ACC after multiparametric MRI were retrospectively included. A training cohort was used to build a diagnostic algorithm obtained through recursive partitioning based on multiparametric MRI variables, including apparent diffusion coefficient and chemical shift signal ratio (i.e., tumor signal intensity index). The diagnostic performances of the multiparametric MRI-based algorithm were evaluated using a validation cohort, alone first and then in association with adrenal tumor size using a cut-off of 4 cm. Performances of the diagnostic algorithm for the diagnosis of ACC vs. LPAA were calculated using pathology as the reference standard. RESULTS: Fifty-four patients (27 with LPAA and 27 with ACC; 37 women; mean age, 48.5 ± 13.3 [standard deviation (SD)] years) were used as the training cohort and 61 patients (24 with LPAA and 37 with ACC; 47 women; mean age, 49 ± 11.7 [SD] years) were used as the validation cohort. In the validation cohort, the diagnostic algorithm yielded best accuracy for the diagnosis of ACC vs. LPAA (75%; 46/61; 95% CI: 55-88) when used without lesion size. Best sensitivity was obtained with the association of the diagnostic algorithm with tumor size (96%; 23/24; 95% CI: 80-99). Best specificity was obtained with the diagnostic algorithm used alone (76%; 28/37; 95% CI: 60-87). CONCLUSION: A multiparametric MRI-based diagnostic algorithm that includes apparent diffusion coefficient and tumor signal intensity index helps discriminate between ACC and LPAA with high degrees of specificity and accuracy. The association of the multiparametric MRI-based diagnostic algorithm with adrenal lesion size helps maximize the sensitivity of multiparametric MRI for the diagnosis of ACC.