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ABSTRACT: Introduction
Achieving accurate preoperative risk stratification for endometrial cancer (EC) is challenging due to the need for histopathology to obtain the necessary parameters. This study aimed to establish and validate a multiparametric magnetic resonance imaging (MRI) radiomics nomogram that incorporates the peritumoral region for preoperative risk stratification in EC patients.Methods
Three-hundred seventy-four women with histologically confirmed EC were divided into training (1.5-T MRI, n=163), test (1.5-T MRI, n=70), and independent validation (3.0-T MRI, n=141) cohorts. As per the guidelines of the European Society of Medical Oncology, patients were categorized into four risk groups: low, intermediate, high-intermediate, and high. Binary classification models were s
SUBMITTER: Yan B
PROVIDER: S-EPMC12418119 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature