https://scholars.lib.ntu.edu.tw/handle/123456789/620024
標題: | Radiomics utilization to differentiate nonfunctional adenoma in essential hypertension and functional adenoma in primary aldosteronism | 作者: | PO-TING CHEN Chang, Dawei KAO-LANG LIU WEI-CHIH LIAO Weichung Wang CHIN-CHEN CHANG VIN-CENT WU YEN-HUNG LIN |
關鍵字: | TEXTURE ANALYSIS; CT; DIAGNOSIS; MANAGEMENT; SOCIETY; PHEOCHROMOCYTOMA; ADRENALECTOMY; CONSENSUS; OUTCOMES; IMAGES | 公開日期: | 2022 | 出版社: | NATURE PORTFOLIO | 卷: | 12 | 期: | 1 | 來源出版物: | Scientific reports | 摘要: | We performed the present study to investigate the role of computed tomography (CT) radiomics in differentiating nonfunctional adenoma and aldosterone-producing adenoma (APA) and outcome prediction in patients with clinically suspected primary aldosteronism (PA). This study included 60 patients diagnosed with essential hypertension (EH) with nonfunctional adenoma on CT and 91 patients with unilateral surgically proven APA. Each whole nodule on unenhanced and venous phase CT images was segmented manually and randomly split into training and test sets at a ratio of 8:2. Radiomic models for nodule discrimination and outcome prediction of APA after adrenalectomy were established separately using the training set by least absolute shrinkage and selection operator (LASSO) logistic regression, and the performance was evaluated on test sets. The model can differentiate adrenal nodules in EH and PA with a sensitivity, specificity, and accuracy of 83.3%, 78.9% and 80.6% (AUC = 0.91 [0.72, 0.97]) in unenhanced CT and 81.2%, 100% and 87.5% (AUC = 0.98 [0.77, 1.00]) in venous phase CT, respectively. In the outcome after adrenalectomy, the models showed a favorable ability to predict biochemical success (Unenhanced/venous CT: AUC = 0.67 [0.52, 0.79]/0.62 [0.46, 0.76]) and clinical success (Unenhanced/venous CT: AUC = 0.59 [0.47, 0.70]/0.64 [0.51, 0.74]). The results showed that CT-based radiomic models hold promise to discriminate APA and nonfunctional adenoma when an adrenal incidentaloma was detected on CT images of hypertensive patients in clinical practice, while the role of radiomic analysis in outcome prediction after adrenalectomy needs further investigation. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/620024 | ISSN: | 2045-2322 | DOI: | 10.1038/s41598-022-12835-9 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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