Clinical Research Directory

Evaluation of a Machine Learning-Based Prediction Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma

Sponsor: Tongji Hospital

Summary

This is a multicenter prospective observational cohort study in patients with hepatocellular carcinoma (HCC) after curative-intent treatment. The study aims to prospectively validate previously developed machine learning-based risk stratification models for extrahepatic metastasis (with a focus on lung and bone metastasis) and to evaluate their potential clinical utility in real-world postoperative surveillance and management pathways. The study does not assign treatments or surveillance strategies to participants. Clinical care is determined by treating physicians according to local practice. The study will assess model performance (including discrimination and calibration), risk stratification ability, and implementation-related outcomes such as model adoption, decision impact, and changes in monitoring intensity or referral pathways. The study will also explore clinical and resource-related outcomes associated with model-informed risk stratification in routine practice.

Official title: Evaluating a Machine Learning-Based Strategy for Predicting Extrahepatic Metastasis and Guiding Risk-Adapted Surveillance in Hepatocellular Carcinoma

Key Details

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Locations (1)