Progress of machine learning-based MRI radiomics in the diagnosis and treatment of pancreatic cancer
YANG Shengning
DU Xiumei
FAN Weixiong
ZHANG Tianhui
Abstract：Pancreatic cancer(PC)is one of the most malignant tumors of the digestive system.MRI radiomics can quantitatively analyze tumor heterogeneity features,providing a new perspective for precision diagnosis and treatment of PC.Machine learning-based MRI radiomics has been applied in various aspects of PC management,including differential diagnosis,pathological grading,lymph node metastasis detection,prognosis prediction,immune microenvironment assessment,and predictions of molecular biological expression and gene mutations.These applications can assist clinicians in formulating personalized treatment strategies.This article presents a review of recent progress in the use of machine learning-based MRI radiomics in the diagnosis and treatment of PC.
Keywords：Pancreatic cancerRadiomicsMachine learningMagnetic resonance imaging
Publication Date：2025-11-15
Online Publishing Date：2025-12-15(First online date of this platform, not the publication date of the document)
Pages：6( 706-711 )