Actively Recruiting
AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)
Led by Tongji Hospital · Updated on 2025-09-03
353
Participants Needed
1
Research Sites
156 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 18-75 years, regardless of gender.
- Diagnosed with BCLC stage 0-A hepatocellular carcinoma and scheduled for curative liver resection.
- Preoperative clinical diagnosis of hepatocellular carcinoma (HCC).
- Have a dynamic contrast-enhanced MRI within 1 month before surgery with acceptable image quality.
- Child-Pugh liver function score of 7 or less.
- ECOG Performance Status of 0 or 1.
- No severe organic diseases affecting heart, lungs, brain, or other vital organs.
You will not qualify if you...
- Having other active malignancies except cured non-melanoma skin cancer or cervical carcinoma in situ.
- Postoperative pathology shows diagnosis other than hepatocellular carcinoma.
- Pregnant or breastfeeding women.
- History of organ transplantation.
- Unable to follow the study protocol or attend scheduled follow-ups.
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Tongji Hospital
Wuhan, Hubei, China, 430030
Actively Recruiting
Research Team
Y
Yang Wu, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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