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.
Inclusion Criteria:
Exclusion Criteria:
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Participants and treating clinicians cannot be masked because the surveillance intervals differ between groups. Radiologists performing independent central imaging review and members of the central multidisciplinary committee adjudicating recurrence and eligibility for protocol-defined curative-intent treatment will remain unaware of randomized assignment. Group identifiers will be concealed in materials provided for central outcome adjudication.
Participants will receive a locked artificial intelligence-guided risk-adapted surveillance strategy during the 24-month primary intervention period. Current recurrence risk will be reassessed using protocol-defined clinical, laboratory, and imaging information. Participants classified as having high, intermediate, or low current risk will generally undergo their next protocol-scheduled contrast-enhanced imaging examination after 3, 4, or 6 months, respectively. Protocol-defined clinical or tumor-marker changes may trigger expedited diagnostic evaluation. Clinically indicated examinations may be performed at any time. The artificial intelligence system provides surveillance recommendations only and does not diagnose recurrence or select anticancer treatment.
Participants will undergo protocol-scheduled contrast-enhanced surveillance imaging every 4 months during the 24-month primary intervention period. Clinical assessments and tumor-marker testing will follow the same protocol-defined schedule used in the experimental group. Clinically indicated examinations may be performed at any time. Suspected recurrence will undergo the same confirmation procedures, central review, multidisciplinary evaluation, and access to guideline-concordant treatment used in the experimental group. Artificial intelligence risk estimates and surveillance recommendations will not be displayed.
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