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Dataset Information

Integrated ultrasound radiomics and clinical data to predict PD-1 blockade efficacy in unresectable hepatocellular carcinoma.


ABSTRACT:

Background

PD-1 blockade therapy has emerged as a valuable treatment option for advanced hepatocellular carcinoma (HCC), but its therapeutic response and overall efficacy vary among patients. This study develops an automated framework for predicting response to PD-1 blockade with enhanced accuracy.

Methods

A comprehensive two-phase investigation was conducted, comprising a retrospective multicenter cohort (n = 793) for model development and a prospective cohort (n = 60) for validation. We established an integrated predictive framework combining ultrasound radiomics with clinical indicators. Model performance was evaluated by ROC analyses, focusing on the area under the curve (AUC). Molecular analyses of liver tissues were performed to explore mechanisms underlying treatment

SUBMITTER: Jiang D 

PROVIDER: S-EPMC12784509 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature