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AI-Driven Quantitative Decision and Surgical Planning System for Liver Cancer

NCT07042841 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2025-06-29

No results posted yet for this study

Summary

This study aims to develop and validate an integrated AI-powered system for liver cancer that includes intelligent tumor boundary detection, micro-metastasis prediction, staging, treatment decision-making, and surgical planning. The system builds upon prior 3D reconstructions of liver, vessels, and bile ducts. In a retrospective multi-center, self-controlled, fully crossed multi-reader multi-case clinical trial, the researchers will compare diagnostic accuracy, staging, and planning performance between AI-assisted reads and conventional reads using CT images and pathological gold standards.

Conditions

  • Liver Cancer, Adult

Sponsors & Collaborators

  • Beijing Tsinghua Chang Gung Hospital

    lead OTHER

Principal Investigators

  • Shuo Jin, PhD · Beijing Tsinghua Chang Gung Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-06-30
Primary Completion
2024-12-30
Completion
2027-10-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07042841 on ClinicalTrials.gov