Clinical Trial

AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)

Recruiting
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Record status
This record was last updated September 3, 2025 (before its estimated June 10, 2026 completion). Its status may not reflect the trial's current state.
Summary
This observational study aims to validate a deep learning model for predicting aggressive recurrence patterns in patients with early-stage liver cancer (HCC) after surgery. The main question it aims to answer is: Can the AI model accurately identify patients at high risk of cancer recurrence within 2 years after surgery? Participants will provide clinical data and undergo standard surgery, followed by 2-year imaging surveillance. Their data will be used for both AI prediction and validation of recurrence patterns.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-07-02.
Trial Details
NCT Number NCT07062380
Lead Sponsor Tongji Hospital
Conditions Hepatecellular Carcinoma, Hepatectomy
Enrollment 353 participants
Start Date 2025-06-10
Primary Completion 2026-06-10 (estimated)
Study Completion 2028-06-10 (estimated)
Updated on ClinicalTrials.gov 2025-09-03