Prospective Evaluation of a Locked Risk-Stratified Surveillance Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma
NCT07444905 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1523
Last updated 2026-04-24
Summary
This is a multicenter prospective observational cohort study in adults with hepatocellular carcinoma (HCC) without baseline extrahepatic metastasis who are receiving routine clinical management and follow-up at participating centers. The study evaluates the real-world implementation and clinical utility of a locked machine learning-guided risk stratification strategy for predicting lung and bone metastasis and supporting risk-stratified surveillance. The locked strategy uses prespecified 12-month risk thresholds and linked care pathways and is implemented without retraining or threshold revision. No study-mandated treatment or surveillance assignment is performed; clinical care remains at physician discretion according to local practice. The study assesses model transportability and calibration, implementation outcomes (including completion of prespecified actions, timeliness of action, and treatment activation), clinically actionable detection outcomes, patient-important outcomes, and longer-term survival. Comparative analyses use centre- and calendar-epoch-aligned usual-care episodes as the primary observational comparator.
Conditions
- HCC - Hepatocellular Carcinoma
- Machine Learning
- Evaluation
Interventions
- OTHER
-
Machine Learning-Based Risk Assessment
Point-of-care use of a locked machine learning-guided risk assessment tool with fixed thresholds and linked risk-stratified surveillance recommendations; no study-mandated treatment assignment is performed
Sponsors & Collaborators
-
Tongji Hospital
lead OTHER
Principal Investigators
-
Zhao Huang · Tongji Hospital
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-02-01
- Primary Completion
- 2026-12-30
- Completion
- 2026-12-31
Countries
- China
Study Locations
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