AI-Guided Surveillance and Curative Salvage of Recurrence After Hepatocellular Carcinoma Resection or Ablation

Starting soon · Not applicable

Conditions studied: Hepatocellular Carcinoma (HCC)

In brief

Hepatocellular carcinoma, the most common type of primary liver cancer, can recur after liver resection or thermal ablation performed with curative intent. Follow-up imaging is commonly scheduled at fixed intervals, although the risk of recurrence differs among patients and may change over time. This study will test whether a locked artificial intelligence system can use routinely collected clinical, laboratory, and imaging information to recommend when the next surveillance scan should occur. Adults with no radiological evidence of viable hepatocellular carcinoma after microscopically margin-negative liver resection or complete radiofrequency or microwave ablation will be randomly assigned in a 1:1 ratio to artificial intelligence-guided risk-adapted surveillance or fixed-interval surveillance. In the artificial intelligence-guided group, participants classified as having high, intermediate, or low current recurrence risk will generally undergo the next protocol-scheduled contrast-enhanced imaging examination after 3, 4, or 6 months, respectively. Participants in the control group will undergo protocol-scheduled imaging every 4 months. The risk thresholds are designed so that the expected total number of protocol-scheduled imaging examinations is approximately comparable between the two groups over 24 months. The artificial intelligence system provides surveillance recommendations only. It does not diagnose recurrence, determine eligibility for liver transplantation, or select anticancer treatment. Clinically indicated examinations may be performed at any time in either group. When recurrence is confirmed, participants in both groups will undergo the same protocol-defined multidisciplinary evaluation, and potentially curative-intent treatment may be considered when clinically appropriate. The primary purpose is to determine whether artificial intelligence-guided surveillance increases the probability of being alive at 24 months without having a recurrence that is no longer amenable to protocol-defined curative-intent treatment. The study evaluates the timing and allocation of surveillance rather than an adjuvant anticancer treatment and is not intended to prevent the biological occurrence of recurrence.

Key facts

Study ID
NCT07732504
Run by
Tongji Hospital
People needed
2000
Starts
2026-10-01
Expected to finish
2030-12-31
Last updated by the study team
2026-07-29

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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