NCT07062380 AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)
| NCT ID | NCT07062380 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Tongji Hospital |
| Condition | Hepatecellular Carcinoma |
| Study Type | OBSERVATIONAL |
| Enrollment | 353 participants |
| Start Date | 2025-06-10 |
| Primary Completion | 2026-06-10 |
Trial Parameters
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Brief 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.
Eligibility Criteria
Inclusion Criteria: * Aged 18-75 years, regardless of gender. * BCLC stage 0-A, scheduled for curative liver resection. * Preoperative clinical diagnosis of hepatocellular carcinoma (HCC). * Availability of dynamic contrast-enhanced MRI within 1 month before surgery, with acceptable image quality. * Child-Pugh liver function score ≤7. * ECOG Performance Status (PS) 0-1. * No severe organic diseases of the heart, lungs, brain, or other vital organs. Exclusion Criteria: * Concurrent other malignancies (except cured non-melanoma skin cancer or cervical carcinoma in situ). * Postoperative pathology confirms non-HCC diagnosis. * Pregnant or lactating women. * History of organ transplantation. * Inability to comply with the study protocol or follow-up schedule.