Predicting overall survival in hepatocellular carcinoma patients via a combined MRI radiomics and pathomics signature.

ABSTRACT:

Objective

This study aims to develop and validate a radiopathomics model that integrates radiomic and pathomic features to predict overall survival (OS) in hepatocellular carcinoma (HCC) patients.

Materials and methods

This study involved 126 HCC patients who underwent hepatectomy and were followed for more than 5 years. Radiomic features were extracted from arterial-phase (AP) and portal venous-phase (PVP) MRI scans, whereas pathomic features were obtained from whole-slide images (WSIs) of the HCC patients. Using LASSO Cox regression, both radiomics and pathomics signatures were established. A combined radiopathomics nomogram for predicting OS was constructed and validated. The correlation between the radiopathomics nomogram and OS prediction was evaluated, demonstrating it

SUBMITTER: Feng L 

PROVIDER: S-EPMC11565553 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature