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Study identifier: NCT07062380 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)

Condition: Hepatecellular Carcinoma · Hepatectomy  ·  Sponsor: Tongji Hospital

PhaseN/A
Planned participants353
Who can joinAll sexes, 18 Years to 75 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Yang Wu, M.D.  ·  +8613636076910  ·  255001907@qq.com

Always discuss trial participation with your own doctor first.

Locations (1)

Tongji HospitalWuhan, Hubei, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT07062380