Progress in the application of MRI in molecular subtyping of endometrial cancer
GUO Wei
FAN Weixiong
ZHANG Tianhui
Abstract：The classification of endometrial cancer(EC)has evolved from the traditional pathological dual-classification model to a molecular classification system encompassing four subtypes:DNA polymerase epsilon(POLE)-mutated,microsatellite instability(MSI),p53-mutated,and no specific molecular profile(NSMP).This system has been incorporated into the latest International Federation of Gynecology and Obstetrics(FIGO)staging criteria.As the preferred imaging method for preoperative evaluation of EC,MRI,together with functional imaging,radiomics,and deep learning technologies,has shown great potential for the non-invasive prediction of EC molecular subtypes.This article reviews the applications and research progress of MRI in the EC molecular classification,with the aim of providing a reference for precision medicine.
Keywords：Endometrial cancerMagnetic resonance imagingMolecular classificationRadiomicsDeep learning
Publication Date：2026-03-15
Online Publishing Date：2026-04-01(First online date of this platform, not the publication date of the document)
Pages：5( 209-213 )