Keywords: Radiomics, Liver
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.
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