Clinical trial · Observational
AI-Driven Quantitative Decision and Surgical Planning System for Liver Cancer
the Study on AI-Integrated Fully Quantitative Treatment Decision and Surgical Planning System for Liver Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Liver Cancer, Adult | Malignant Liver Neoplasm | CURATED_EXACT | 0.85 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (3)
- label
- HCC Positive Group
- description
- HCC-positive with liver lesion
- label
- HCC Negative Lesion Group
- description
- HCC-negative with liver lesion
- label
- Non-Lesion Control Group
- description
- No liver lesion
Primary outcomes (1)
- measure
- Diagnostic accuracy of the intelligent liver cancer diagnosis and surgical planning system
- timeFrame
- At the time of surgery.
- description
- The diagnostic accuracy will be evaluated by comparing the system's prediction of tumor boundaries and microvascular invasion with pathological gold standards.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 1\. Dynamic contrast-enhanced CT scan of the liver is available. 2. Age ≥ 18 years. 3. CT image slice thickness ≤ 5 mm. 4. An official CT report is available. 5. Meets at least one of the following subcategories:HCC-positive with liver lesion: CT report suggests suspected hepatocellular carcinoma (HCC), and complete hospitalization records are available to assess CNLC staging (including performance status, Child-Pugh classification, and extrahepatic metastasis). HCC-negative with liver lesion: CT report indicates at least one liver-occupying lesion, but not suspected to be HCC. No liver lesion: CT report indicates no liver-occupying lesion. Exclusion Criteria: * 1\. Incomplete liver coverage in CT images. 2. Severe noise artifacts in CT images. 3. History of liver resection or significant anatomical/volume alterations of the liver. 4. Deemed unsuitable for inclusion by the investigator.
References
Publications (0)
Data not yet available