Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation.

ABSTRACT:

Background

Preoperative diagnosis of pheochromocytoma (PHEO) accurately impacts preoperative preparation and surgical outcome in PHEO patients. Highly reliable model to diagnose PHEO is lacking. We aimed to develop a magnetic resonance imaging (MRI)-based radiomic-clinical model to distinguish PHEO from adrenal lesions.

Methods

In total, 305 patients with 309 adrenal lesions were included and divided into different sets. The least absolute shrinkage and selection operator (LASSO) regression model was used for data dimension reduction, feature selection, and radiomics signature building. In addition, a nomogram incorporating the obtained radiomics signature and selected clinical predictors was developed by using multivariable logistic regression analysis. The performance of t

SUBMITTER: Kong J 

PROVIDER: S-EPMC8760711 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature