Research progress on radiomics and deep learning in the diagnosis and treatment of pancreatic cancer
FU Pan
CHEN Haiyan
SHI Lei
Abstract：Pancreatic cancer is a highly malignant tumor of digestive system.Radiomics enables non-invasive,comprehensive,and quantitative analysis of tumor heterogeneity in pancreatic cancer,thereby improving lesion prediction and diagnostic accuracy.Deep learning,through the automatic extraction of deep features from images,further enhances the effectiveness of images in diagnosis and prediction.This review summarizes recent advances in the application of radiomics and deep learning techniques to pancreatic cancer,covering early screening and diagnosis,preoperative staging and metastasis assessment,differential diagnosis,treatment response evaluation,and recurrence and prognosis prediction.
Keywords：Pancreatic cancerRadiomicsDeep learningTomographyX-ray computed
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( 712-717 )