Case Series: ATRX Variants in Four Patients with Metastatic Pheochromocytoma.

Few reports have highlighted the rare presence of somatic ATRX variants in clinically aggressive, metastatic pheochromocytoma/paraganglioma (PCC/PGL); however, none have addressed detailed clinical presentation (including biochemistry and imaging) and management of these patients. Here, we address these clinical features and management based on four PCC patients with somatic ATRX variants from our National Institutes of Health PCC/PGL cohort. A total of 192 patients underwent exome sequencing (germline, somatic, or both), and four males were found to have somatic ATRX variants (with additional somatic VHL and FH oncogenic variants in patients 2 and 4, respectively). Per-lesion and per-patient comparisons were performed among functional imaging scans performed at the NIH. Biochemical phenotype and response to systemic treatment were evaluated. This mini-series supports prior studies showing aggressive/metastatic PCC in patients with somatic ATRX variants, as all developed widespread metastatic disease. All four PCC patients presented with noradrenergic biochemical phenotype, and some with significant elevation in 3-methoxytyramine. 18F-FDOPA PET/CT was found to be the superior functional imaging modality, with 100% lesion detection rate when compared to that of 68Ga-DOTATATE, 18F-FDG, 18F-FDA, and 123I-MIBG scans. While patients did not respond to chemotherapy or tyrosine kinase inhibitors, they responded to targeted radiotherapy using high-specific-activity 131I-MIBG (Azedra®) or 177Lu-DOTATATE (Lutathera®).

Ultrasonographic and pathological features of primary adrenal lymphoma.

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Hyper-realistic rendering-assisted laparoscopic adrenalectomy for giant adrenal tumors: a pilot study.

PURPOSE: This study aimed to explore the application value of hyperrealistic rendering (HRR) in laparoscopic giant adrenal tumor resection. METHODS: We retrospectively analyzed 25 patients with giant adrenal tumors from January 2021 to January 2024, with a median age of 56 (40.5, 58.5) years and a tumor median diameter of 7.20 (6.80, 8.50) cm. All patients underwent preoperative medical HRR based on enhanced computed tomography, followed by laparoscopic adrenal tumor resection. RESULTS: HRR was used to initially determine the nature of the tumor and develop a detailed surgical plan, which was completed in 25 patients preoperatively. All 24 cases of tumors were located in the adrenal gland, 1 case was located in the retroperitoneum, and 13 and 12 cases were on the left and right side, respectively. Preoperative HRR 3D imaging was consistent with the intraoperative situation, and 25 cases had successful surgeries. The median operation time was 165 (120.0, 250.0) min, and median bleeding and blood transfusion volume were 200 (150.0, 450.0) and 200.0 (150.0, 450.0) mL, respectively. There were no collateral injuries to important organs and major vessels and no cases of conversion to open surgery. CONCLUSION: For large retroperitoneal adrenal tumors, HRR for three-dimensional (3D) reconstruction imaging enables the operator to fully understand the relationship between the tumor and surrounding organs and blood vessels preoperatively, which can reduce intraoperative bleeding and collateral injuries, improve the success rate of laparoscopic resection, and safety of the operation.

Could CT Radiomic Analysis of Benign Adrenal Incidentalomas Suggest the Need for Further Endocrinological Evaluation?

We studied the application of CT texture analysis in adrenal incidentalomas with baseline characteristics of benignity that are highly suggestive of adenoma to find whether there is a correlation between the extracted features and clinical data. Patients with hormonal hypersecretion may require medical attention, even if it does not cause any symptoms. A total of 206 patients affected by adrenal incidentaloma were retrospectively enrolled and divided into non-functioning adrenal adenomas (NFAIs, n = 115) and mild autonomous cortisol secretion (MACS, n = 91). A total of 136 texture parameters were extracted in the unenhanced phase for each volume of interest (VOI). Random Forest was used in the training and validation cohorts to test the accuracy of CT textural features and cortisol-related comorbidities in identifying MACS patients. Twelve parameters were retained in the Random Forest radiomic model, and in the validation cohort, a high specificity (81%) and positive predictive value (74%) were achieved. Notably, if the clinical data were added to the model, the results did not differ. Radiomic analysis of adrenal incidentalomas, in unenhanced CT scans, could screen with a good specificity those patients who will need a further endocrinological evaluation for mild autonomous cortisol secretion, regardless of the clinical information about the cortisol-related comorbidities.

Development and validation of a model predicting adrenal lipid-poor adenoma based on the minimum attenuation value from non-contrast CT: a dual-center retrospective study.

OBJECTIVE: The early differentiation of adrenal lipid-poor adenomas from non-adenomas is a crucial step in reducing excessive examinations and treatments. This study seeks to construct an eXtreme Gradient Boosting (XGBoost) predictive model utilizing the minimum attenuation values (minAVs) from non-contrast CT (NCCT) scans to identify lipid-poor adenomas. MATERIALS AND METHODS: Retrospective analysis encompassed clinical data, minAVs, CT histogram (CTh), mean attenuation values (meanAVs), and lesion diameter from patients with pathologically or clinically confirmed adrenal lipid-poor adenomas across two medical institutions, juxtaposed with non-adenomas. Variable selection transpired in Institution A (training set), with XGBoost models established based on minAVs and CTh separately. Institution B (validation set) corroborated the diagnostic efficacy of the two models. Receiver operator characteristic (ROC) curve analysis, calibration curves, and Brier scores assessed the diagnostic performance and calibration of the models, with the Delong test gauging differences in the area under the curve (AUC) between models. SHapley Additive exPlanations (SHAP) values elucidated and visualized the models. RESULTS: The training set comprised 136 adrenal lipid-poor adenomas and 126 non-adenomas, while the validation set included 46 and 40 instances, respectively. In the training set, there were substantial inter-group differences in minAVs, CTh, meanAVs, diameter, and body mass index (BMI) (p < 0.05 for all). The AUC for the minAV and CTh models were 0.912 (95% confidence interval [CI]: 0.866-0.957) and 0.916 (95% CI: 0.873-0.958), respectively. Both models exhibited good calibration, with Brier scores of 0.141 and 0.136. In the validation set, the AUCs were 0.871 (95% CI: 0.792-0.951) and 0.878 (95% CI: 0.794-0.962), with Brier scores of 0.156 and 0.165, respectively. The Delong test revealed no statistically significant differences in AUC between the models (p > 0.05 for both). SHAP value analysis for the minAV model suggested that minAVs had the highest absolute weight (AW) and negative contribution. CONCLUSION: The XGBoost predictive model based on minAVs demonstrates effective discrimination between adrenal lipid-poor adenomas and non-adenomas. The minAV variable is easily obtainable, and its diagnostic performance is comparable to that of the CTh model. This provides a basis for patient diagnosis and treatment plan selection.

Predictors of malignancy for treatment direction in patients with nonfunctioning adrenal incidentaloma.

BACKGROUND: Adrenal incidentalomas (AI) are predominantly nonfunctional and benign, and their detection and differential diagnosis are aided by computed tomography (CT). A nonfunctioning adrenal incidentaloma (NFAI) usually requires regular follow-up; however, adrenalectomy may be necessary in certain patients. This study aimed to evaluate prognostic predictors to guide the treatment approach for AIs. METHODS: This retrospective, single-center study involved patients diagnosed with NFAI from January 2000 to December 2020. Patients were divided into surgery and observation groups. A subgroup analysis compared malignant and benign adenoma within the surgery group. RESULTS: A total of 307 patients were included, with 127 in the surgery group and 180 in the observation group. The surgery group displayed distinct morphological and malignant potential features in CT scans more frequently than the observational group did. The malignant subgroup exhibited more irregular borders on CT, and a higher number of patients with absolute washout under 60 % and relative washout under 40 % compared with the benign adenoma subgroup. Interestingly, within the surgery group, the mean tumor size was <4 cm for the both malignant and benign adenoma subgroups. CONCLUSIONS: Characterizing NFAI is important for appropriate treatment, as not all AIs have a favorable prognosis. CT findings associated with malignant potential, such as Hounsfield unit and washout values, were useful in determining the need for surgical treatment. However, the conventional criterion of a 4-cm size threshold for surgery was not a reliable malignancy predictor. Surgical resection should be considered for specific patient groups to ensure proper treatment over mere observation.

Effectiveness of Robot-assisted Adrenalectomy for a Giant Adrenal Hemangioma: A Case Report.

BACKGROUND: Adrenal hemangiomas are extremely rare benign tumors that often need to be distinguished from malignancies. Adrenal tumors >4 cm in size are treated surgically because the possibility of malignancy cannot be ruled out. Traditionally, open surgery has been the mainstay of treatment; however, in recent years, robot-assisted surgery has been increasingly used for tumors of larger size and suspected malignancy. Here, we report a case of robot-assisted adrenalectomy for an 11 cm adrenal hemangioma. CASE REPORT: A 62-year-old male with lateral abdominal pain was referred to our hospital for further examination and treatment. His medical history was significant for hypertension, diabetes, and dyslipidemia. Computed tomography revealed an 11 cm left adrenal tumor, and all endocrinological screening tests were negative. Because the possibility of malignancy could not be ruled out, a robot-assisted adrenalectomy was performed. The operation time was 129 min, and the estimated blood loss was 7 ml. Pathological findings revealed an adrenal hemangioma. The postoperative course was uneventful, and patient's condition subsequently improved postoperatively. CONCLUSION: Robot-assisted adrenalectomy was performed for a giant adrenal hemangioma without any complications. Robotic surgery is useful for resecting adrenal hemangiomas even exceeding 11 cm in diameter.

Rare Case of Adrenal Hemangioma Discovered Incidentally during Renal Colic Investigation.

BACKGROUND Hemangiomas of the adrenal gland are rare benign non-functional tumors arising from the gland's vascular endothelium. Adrenal hemangiomas are rare in clinical settings, often discovered incidentally during an unrelated diagnostic investigation. CASE REPORT A 39-year-old man presented with a heterogeneous, enhancing 4.56×4.24×3.9-cm mass originating from the right adrenal gland's lateral limb, discovered incidentally on computed tomography (CT) to investigate renal colic. He was routinely followed up for 2 years with serial CT scans; the mass exhibited considerable growth compared with baseline, with a relatively stable appearance with hyperdense soft tissue component, fat, and foci of calcification. Dexamethasone suppression test demonstrated suppressed cortisol response, indicating a non-functional mass. Therefore, laparoscopic right adrenalectomy was performed, owing to the benign nature of the preoperative diagnosis of myelolipoma and mass size. The patient experienced an uneventful recovery, with no perioperative complications. The resected mass was 5×4×4 cm in size and weighed 30 g. Histopathology confirmed adrenal hemangioma. Serial sectioning revealed an encapsulated lesion with heterogeneous solid and cystic surfaces. Light microscopy examination showed dilated and congested vascular channels lined by flattened endothelium. Focal mature adipose tissue was seen. CONCLUSIONS The infrequent occurrence of adrenal hemangiomas and their nonspecific clinical and radiological presentation results in a considerable diagnostic challenge and, often, misdiagnosis. Surgical resection is usually necessary to exclude malignant disease, alleviate pressure-related symptoms, and decrease risk of retroperitoneum hemorrhage. These lesions are associated with a good prognosis. One limitation of this report is the lack of preoperative adrenal magnetic resonance imaging of the incidental adrenal mass.

Management of a giant adrenal schwannoma.

In this case report, we present a man in his 60s who presented with an incidentally discovered right adrenal mass, which turned out to be an adrenal schwannoma. This is a very rare tumour that originates from Schwann cells and involves the peripheral nerves. The tumour was removed by open adrenalectomy, and this 15-cm adrenal schwannoma is one of the largest reported in the literature, with none >16 cm having ever been reported. This case highlights the importance of keeping an open mind about the cause of an incidentally discovered adrenal mass, which is an increasingly common way for adrenal tumours to present given the increased access to cross-sectional imaging. As well as presenting the case and the pathological basis behind adrenal schwannomas, we include a review of the literature and a general discussion about incidentally discovered adrenal masses.

Diagnostic performance of magnetic resonance imaging features to differentiate adrenal pheochromocytoma from adrenal tumors with positive biochemical testing results.

BACKGROUND: It is extremely essential to accurately differentiate pheochromocytoma from Adrenal incidentalomas (AIs) before operation, especially biochemical tests were inconclusive. We aimed to evaluate the value of magnetic resonance imaging (MRI) features to differentiate pheochromocytomas among adrenal tumors, among which the consequences of biochemical screening tests of catecholamines and/or catecholamine metabolites are positive. METHODS: With institutional review board approval, this study retrospectively compared 35 pheochromocytoma (PHEO) patients with 27 non-pheochromocytoma(non-PHEO) patients between January 2022 to September 2023, among which the consequences of biochemical screening tests of catecholamines and/or catecholamine metabolites are positive. T test was used for the independent continuous data and the chi-square test was used for categorical variables. Univariate and multivariate logistic regression were applied to find the independent variate of the features to differentiate PHEO from non-PHEO and ROC analysis was applied to evaluate the diagnostic value of the independent variate. RESULTS: We found that the T2-weighted (T2W) signal intensity in patients with pheochromocytoma was higher than other adrenal tumors, with greatly significant (p < 0.001). T2W signal intensity ratio (T2W nodule-to-muscle SI ratio) was an independent risk factor for the differential diagnosis of adrenal PHEOs from non-PHEOs. This feature alone had 91.4% sensitivity and 81.5% specificity to rule out pheochromocytoma based on optimal threshold, with an area under the receiver operating characteristics curve (AUC­ROC) of 0.910(95% C I: 0.833-0.987). CONCLUSION: Our study confirms that T2W signal intensity ratio can differentiate PHEO from non-PHEO, among which the consequences of biochemical screening tests of catecholamines and/or catecholamine metabolites are positive.

Imaging guided adrenalectomy with Indocyanine green fluorescence in a dog with a pheochromocytoma.

IMPORTANCE: This case report presents the successful surgical removal of a pheochromocytoma in a dog using indocyanine green (ICG) fluorescence imaging. CASE PRESENTATION: A 10-year-old, 6.87 kg, spayed female poodle was referred for an abdominal mass and eight episodes of vomiting. Computed tomography revealed masses in the spleen and left adrenal gland. Based on the plasma normetanephrine levels, the patient was diagnosed with pheochromocytoma. Subsequently, a total splenectomy and left adrenalectomy were performed. A dose of 5 mg/kg ICG was administered intravenously 24 h prior to surgery. Using ICG allowed visualization of tumor margins, aiding in complete resection and minimizing anesthesia-related risks. CONCLUSIONS AND RELEVANCE: No evidence of recurrence or metastasis has been observed for 12 months. To our knowledge, this is the first report of the surgical removal of a pheochromocytoma using intraoperative ICG imaging in veterinary medicine. This case highlights the efficacy of ICG fluorescence imaging as a valuable tool for the surgical management of adrenal tumors in veterinary medicine.

Clinical, radiological, and surgical outcomes of 431 patients with adrenal incidentalomas: retrospective study of a 10-year single-center experience.

Background/aim: The incidence of adrenal tumors is increasing due to the widespread utilization of radiographic imaging techniques. Factors such as tumor size, radiological characteristics, and functionality of adrenal adenomas play crucial roles in diagnosis and subsequent management. In this retrospective study, we investigated the clinical, radiological, and surgical features of patients with adrenal incidentalomas (AIs) and evaluated their follow-up results. Materials and methods: We analyzed data from 431 patients diagnosed with AIs (130 males, 301 females) who underwent adrenal hormone evaluation at our center. We compared nonfunctioning and functioning AIs in terms of radiological features. We also compared baseline and follow-up characteristics in nonfunctioning AIs. Results: The mean age of the patients was 55.4 ± 11.5 years, with a mean tumor size of 25.9 ± 14.3 mm. Mean follow-up duration was 3.17 ± 2.07 years. Adenoma localization revealed 165 (38.3%) right-sided, 185 (42.9%) left-sided, and 81 (18.8%) bilateral cases. Most patients (76.6%) had nonfunctioning AIs. During follow-up, nonfunctioning AIs exhibited increased fasting blood glucose, fasting insulin and HOMA-IR values (p = 0.002, <0.001 and 0.004, respectively). Among the functioning AIs cases (23.4%), autonomous cortisol secretion, Cushing's syndrome, pheochromocytoma, and primary aldosteronism were observed in 10.4%, 5.1%, 3.9%, and 3.9% of cases, respectively. Receiver operating characteristic curve analysis determined an adrenal adenoma size of 26.5 mm as the optimal cut-off for distinguishing between functioning and nonfunctioning AIs, with a sensitivity and specificity of 61.4% and 70.0%, respectively. Conclusion: Although the majority of AIs are nonfunctioning, the prevalence of functioning adrenal adenomas is not rare. Our findings suggest that adenoma size emerges as a valuable predictor for early detection of functioning adenomas. In addition, smaller masses appear to carry a lower risk of malignancy.

Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.

Pheochromocytomas and Paragangliomas (PPGLs) are rare adrenal and extra-adrenal tumors that have metastatic potential. Management of patients with PPGLs mainly depends on the makeup of their genetic cluster: SDHx, VHL/EPAS1, kinase, and sporadic. CT is the preferred modality for precise localization of PPGLs, such that their metastatic progression can be assessed. However, the variable size, morphology, and appearance of these tumors in different anatomical regions can pose challenges for radiologists. Since radiologists must routinely track changes across patient visits, manual annotation of PPGLs is quite time-consuming and cumbersome to do across all axial slices in a CT volume. As such, PPGLs are only weakly annotated on axial slices by radiologists in the form of RECIST measurements. To ameliorate the manual effort spent by radiologists, we propose a method for the automated detection of PPGLs in CT via a proxy segmentation task. Weak 3D annotations (derived from 2D bounding boxes) were used to train both 2D and 3D nnUNet models to detect PPGLs via segmentation. We evaluated our approaches on an in-house dataset comprised of chest-abdomen-pelvis CTs of 255 patients with confirmed PPGLs. On a test set of 53 CT volumes, our 3D nnUNet model achieved a detection precision of 70% and sensitivity of 64.1%, and outperformed the 2D model that obtained a precision of 52.7% and sensitivity of 27.5% (p< 0.05). SDHx and sporadic genetic clusters achieved the highest precisions of 73.1% and 72.7% respectively. Our state-of-the art findings highlight the promising nature of the challenging task of automated PPGL detection.

Comparison of 68 Ga-DOTATATE PET/CT and 123 I-MIBG SPECT/CT in the Imaging of Functional Pheochromocytoma in an Adolescent Patient With Von Hippel-Lindau Syndrome.

ABSTRACT: A 17-year-old boy with Von Hippel-Lindau syndrome presented with hypertension, raised plasma catecholamines, and MRI findings of a new pancreatic tail lesion and 2 stable right adrenal lesions concerning for functional neuroendocrine tumors. A 68 Ga-DOTATATE PET/CT demonstrated intense tracer avidity within the pancreatic lesion with minimal uptake in the adrenal lesions. Conversely, a 123 I-MIBG SPECT/CT study demonstrated high-grade tracer uptake within the adrenal lesions, with no significant uptake appreciated in the pancreatic lesion. The adrenal lesions were resected, and pathology was consistent with pheochromocytoma. Plasma catecholamines returned to within the normal range and hypertension resolved.

Evaluating the diagnostic efficacy of whole-body MRI versus 123I-mIBG/131I-mIBG imaging in metastatic pheochromocytoma and paraganglioma.

This study aimed to compare tumor lesion detectability and diagnostic accuracy of whole-body magnetic resonance imaging (WB-MRI) and radioiodine-labeled meta-iodo-benzylguanidine (mIBG) imaging techniques in patients with metastatic pheochromocytoma and paraganglioma (PPGL). This retrospective study included 13 patients had pheochromocytoma and 5 had paraganglioma, who were all suspected of having metastatic tumors. Each patient underwent WB-MRI and 123I-mIBG as a pretreatment screening for 131I-mIBG therapy. Two expert reviewers evaluated WB-MRI, 123I-mIBG images, and post-therapy 131I-mIBG images for the presence of metastatic lesions in the lungs, bones, liver, lymph nodes, and other organs. Diagnostic measures for detecting metastatic lesions, including sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristics (ROC)-area under the curve (AUC), were calculated for each imaging technique. We analyzed WB-MRI images for detecting metastatic lesions, which demonstrated sensitivity, specificity, accuracy, PPV, NPV, and AUC of 82%, 97%, 90%, 96%, 86%, and 0.92, respectively. These values were 83%, 95%, 89%, 94%, 86%, and 0.90 in 123I-mIBG images and 85%, 92%, 89%, 91%, 87%, and 0.91 in post-therapy 131I-mIBG images, respectively. Our results reveal the comparable diagnostic accuracy of WB-MRI to one of the mIBG images.

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.