An MRI-Based Radiomics Model for Preoperative Prediction of Microvascular Invasion and Overall Survival in Intrahepatic Cholangiocarcinoma

Motivation: Microvascular invasion (MVI) is a significant prognostic factor in intrahepatic cholangiocarcinoma (ICC). Goal(s): This study aimed to develop an MR radiomics-based model for preoperative MVI status stratification and overall survival prediction. Approach: Univariate and multivariate logistic regression identified independent clinical and imaging predictors. The radiomic model, utilizing robust features and a logistic regression classifier with the least absolute shrinkage and selection operator algorithm, was integrated into the imaging-radiomics (IR) model. Results: The IR model demonstrated strong performance (AUCtraining=0.890, AUCvalidation=0.885, AUCtest=0.815), confirmed by calibration and decision curves, and its predicted survival closely matched histological methods. Impact: The MRI-based radiomics models for preoperative MVI status and OS prediction holds the promise of enabling physicians to tailor medical regimens in ICC patients, optimizing their individual benefit.