Precision Recurrence Risk Assessment in Early-stage Hepatocellular Carcinoma
- Conditions
- Hepatocellular Carcinoma (HCC)
- Registration Number
- NCT07030842
- Lead Sponsor
- Tongji Hospital
- Brief Summary
This retrospective observational study aims to evaluate whether artificial intelligence (AI) models can predict aggressive recurrence in patients who underwent liver resection for early-stage hepatocellular carcinoma (HCC). The main question it seeks to answer is:
Can deep learning models combining preoperative MRI, postoperative pathology slides, and clinical data accurately identify HCC patients at high risk of aggressive recurrence after surgery?
To answer this, the investigators will analyze existing medical data (preoperative MRIs, postoperative whole-slide images, and clinical records) from 579 patients across two medical centers. All data will be anonymized before analysis, and no additional interventions are required from participants.
This study may help clinicians stratify high-risk patients who could benefit from closer surveillance or adjuvant therapies
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 579
- Patients who underwent curative liver resection (R0) for pathologically confirmed primary HCC
- BCLC stage 0-A at diagnosis
- Availability of preoperative contrast-enhanced MRI performed within 1 month before surgery
- Availability of postoperative H&E-stained whole slide images (WSIs) with adequate tumor representation
- Complete clinical follow-up data (minimum 2 years if no recurrence)
- R1/R2 resection (micro/macroscopically positive margins)
- Missing or poor-quality preoperative MRI (motion artifacts/insufficient contrast enhancement)
- Received neoadjuvant or adjuvant therapy (to avoid treatment confounding)
- Incomplete follow-up (loss to follow-up or missing recurrence status)
- Non-curative procedures (e.g., palliative resection)
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Aggressive Recurrence Pattern 2 years after surgery Defined as first recurrence exceeding Milan criteria within 2 years after liver resection.
- Secondary Outcome Measures
Name Time Method Recurrence-Free Survival (RFS) From surgery until first recurrence or July 30, 2024 Time from surgery date to radiologically confirmed recurrence or last follow-up (until July 30, 2024).
Overall Survival (OS) From surgery until death or July 30, 2024 Time from surgery date to death from any cause or last follow-up.
Trial Locations
- Locations (1)
Tongji Hospital
🇨🇳Wuhan, Hubei, China
Tongji Hospital🇨🇳Wuhan, Hubei, China