Incorporating diffusion weighted MRI into a radiomics model improves diagnostic performance in survival prediction in PDAC

Radiomics features were extracted from multiparametric MRI including conventional MRI (T2WI, T1WI, arterial phase, portal venous phase images) and apparent diffusion coefficient (ADC). The radiomics score was built based on the least absolute shrinkage and selection operator regression model. Three models, including clinicopathological and radiographic characteristics (CPR) model, multiparametric MRI radiomics model and conventional MRI radiomics model, were built to predict recurrence-free survival (RFS) and overall survival (OS) in patients with resectable pancreatic ductal adenocarcinoma (PDAC). Multiparametric MRI radiomics model showed improved diagnostic performance in survival prediction than conventional MRI radiomics model and CPR model.