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Construction of a clinical-radiomic nomogram model for the differential diagnosis of adrenal adenoma and small diameter pheochromocytoma / 现代泌尿外科杂志
Journal of Modern Urology ; (12): 785-790, 2023.
Artigo em Chinês | WPRIM | ID: wpr-1005994
ABSTRACT
【Objective】 To effectively differentiate adrenal adenoma (AA) and small diameter pheochromocytoma (PCC) by establishing a clinical-radiomic nomogram model before surgery. 【Methods】 A total of 132 pathologically confirmed patients (45 PCC cases, 87 AA cases) were enrolled. After the features of enhanced CT were assessed, the radiomic features and related clinical indicators were extracted. Based on multiple Logistic regression, a clinical-radiomic nomogram with radiomic features and independent clinical predictors was developed. The area under the receiver operating characteristic (ROC) curve (AUC) was used for internal evaluation to compare the diagnostic effectiveness of the three models. The clinical effectiveness of the nomogram was verified with decision curve analysis (DCA). 【Results】 One of the 108 candidate features was used to construct the radiological feature score. Individualized clinical-radiomic nomogram included independent clinical factors (24 h urinary vanmandelic acid/renin/angiotensin I) and original first-order median radiological feature scores. Internal evaluation of the prediction model showed that the AUC was 0.945 (95%CI0.906-0.984), superior to the single clinical model or radiological model in precise differentiation. DCA showed that the nomogram had the best clinical use. 【Conclusion】 The clinical-radiomic nomogram model can effectively differentiate adrenal adenoma from small diameter pheochromocytoma, which can improve the preoperative differential diagnosis and preparation.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Journal of Modern Urology Ano de publicação: 2023 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Journal of Modern Urology Ano de publicação: 2023 Tipo de documento: Artigo