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Objective: Adrenal vein sampling (AVS) is recommended to subtype primary aldosteronism, but it is technically challenging. We compared 11C-Metomidate-PET-computed tomography (PET-CT) and AVS for subtyping of primary aldosteronism.
Methods: Patients with confirmed primary aldosteronism underwent both AVS and 11C-Metomidate PET-CT (post-dexamethasone). All results were reviewed at a multidisciplinary meeting to decide on final subtype diagnosis. Primary outcome was accuracy of PET versus AVS to diagnosis of unilateral primary aldosteronism based on post-surgical biochemical cure. Secondary outcome was accuracy of both tests to final subtype diagnosis.
Results: All 25 patients recruited underwent PET and successful AVS (100%). Final diagnosis was unilateral in 22 patients, bilateral in two and indeterminate in one due to discordant lateralization. Twenty patients with unilateral primary aldosteronism underwent surgery, with 100% complete biochemical success, and 75% complete/partial clinical success. For the primary outcome, sensitivity of PET was 80% [95% confidence interval (95% CI): 56.3-94.3] and AVS was 75% (95% CI: 50.9-91.3). For the secondary outcome, sensitivity and specificity of PET was 81.9% (95% CI: 59.7-94.8) and 100% (95% CI: 15.8-100), and AVS was 68.2% (95% CI: 45.1-86.1) and 100% (95% CI: 15.8-100), respectively. Twelve out of 20 (60%) patients had both PET and AVS lateralization, four (20%) PET-only, three (15%) AVS-only, while one patient did not lateralize on PET or AVS. Post-surgery outcomes did not differ between patients identified by either test.
Conclusion: In our pilot study, 11C-Metomidate PET-CT performed comparably to AVS, and this should be validated in larger studies. PET identified patients with unilateral primary aldosteronism missed on AVS, and these tests could be used together to identify more patients with unilateral primary aldosteronism.
Video Abstract: http://links.lww.com/HJH/B918.
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http://dx.doi.org/10.1097/HJH.0000000000003132 | DOI Listing |
Indian J Nucl Med
August 2025
Department of Nuclear Medicine, Zydus Cancer Hospital, Ahmedabad, Gujarat, India.
Primary aldosteronism (PA) is one of the prevalent causes of secondary hypertension, characterized by the autonomous hypersecretion of aldosterone and concurrent renin inhibition. Clinical and biochemical remission rates for patients with PA achieved through surgery are far higher compared to those achieved through drug treatment; hence, subtyping PA is crucial for identifying patients who will benefit most from surgery. Computed tomography (CT) scan with adrenal protocol and adrenal venous sampling (AVS) is used conventionally for PA subtype classification.
View Article and Find Full Text PDFMini Rev Med Chem
September 2025
Department of PET/CT Diagnostic Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
The diagnosis of adrenocortical tumors remains clinically challenging due to overlapping morphological and functional features between benign, malignant, and hormonally active lesions. Malignant and functional tumors are frequently associated with poor prognosis. Traditional morphological imaging methods, such as CT and MRI, cannot reliably distinguish lesion types.
View Article and Find Full Text PDFInt J Surg
September 2025
Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Eur J Endocrinol
September 2025
Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal Madrid, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain.
Objective: The indication for laparoscopic partial adrenalectomy (LPA) in patients with primary aldosteronism due to aldosterone-producing adenoma (APA) remains controversial. This study aimed to determine the functional and surgical outcomes of LPA in this context.
Methods: This is a systematic review and meta-analysis.
Front Mol Biosci
August 2025
Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Recent advances in artificial intelligence (AI) are reshaping the diagnostic and therapeutic of primary aldosteronism (PA). For screening, machine learning models integrate multidimensional data to improve the efficiency of PA detection, facilitating large-scale population screening. For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification.
View Article and Find Full Text PDF