Ontology highlight
ABSTRACT: Background
Current methods to evaluate therapeutic response in patients with hepatocellular carcinoma (HCC) rely on tumor size and density, which do not always correlate well with survival. We used pretreatment clinical and radiomics variables to predict overall survival (OS) in the randomized phase III CALGB 80802 (Alliance) trial, investigating the efficacy of sorafenib + doxorubicin versus sorafenib alone.Materials and methods
Using machine learning, we analyzed baseline and first follow-up computed tomography (CT) images and associated clinical metadata from patients imaged in February 2010-May 2015, up to November 2015 with follow-up. Adult patients with HCC (n = 129) were randomly assigned to training (n = 92) and validation (n = 37) sets. We assessed the performance
SUBMITTER: Dercle L
PROVIDER: S-EPMC12720083 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature