AI-based CT prediction of microvascular invasion in liver cancer
Official title: Development of a Computer-Aided Diagnosis System for Hepatocellular Carcinoma Microvascular Invasion Based on Preoperative Image Analysis
Run by Chinese Academy of Sciences · NCT07170345 · Data updated 2026-11-12
This project will test whether an AI-powered tool using preoperative multiphase CT can predict microvascular invasion in adults with hepatocellular carcinoma who are scheduled for surgery.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 18 Years |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | Chinese Academy of Sciences Government |
| Locations | 19 sites (Fuzhou, Fujian and 18 other locations) |
| Status | Recruiting |
| Started | September 1, 2025 |
| Main results expected | September 1, 2026 |
| Study ends | September 1, 2027 |
| Registry record updated | September 12, 2025 |
| Trial ID | NCT07170345 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age ≥18) with confirmed hepatocellular carcinoma who are eligible for hepatic resection or liver transplantation and who have preoperative multiphase CT performed within one month and postoperative pathology available for MVI status.
✕Probably not a fit
Patients who received prior antitumor therapies, who have major vascular invasion, extrahepatic metastasis, diffuse tumors, tumor rupture, or who lack key imaging or pathological data are unlikely to benefit from this preoperative prediction tool.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a prospective, multicenter observational study developing and validating a computer-aided diagnostic (CAD) system that combines deep learning image features, predefined imaging signatures, and clinical prior knowledge from multiphase CT scans to predict microvascular invasion (MVI) in HCC. Participants are adults with confirmed HCC who undergo preoperative multiphase CT within one month before planned hepatic resection or transplantation and have postoperative histopathology documenting MVI status. The CAD system's predictions will be compared to the gold-standard postoperative pathology to measure diagnostic performance and cross-center generalizability. The study emphasizes interpretability and adaptability across multiple Chinese hospitals to improve clinical applicability.
Why it matters
Potential benefit: If successful, the tool could give surgeons and care teams information about MVI before surgery to help choose surgical margins and adjuvant treatments that may reduce early recurrence.
How similar studies have gone: Previous imaging-based and AI approaches have shown promising signals for preoperative MVI prediction but have been limited by poor generalizability and interpretability, so this study builds on prior work to improve clinical applicability.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years. * Confirmed diagnosis of hepatocellular carcinoma (HCC) according to the Chinese Clinical Practice Guidelines for Primary Liver Cancer. * Eligible for surgical intervention (hepatic resection or liver transplantation) according to the Chinese Clinical Practice Guidelines for Cancer, including stages Ia, Ib, and IIa. * Preoperative imaging examination performed within 1 month before surgery. * Availability of histopathological evaluation with documented microvascular invasion (MVI) status. Exclusion Criteria: * History of prior antitumor treatment, including preoperative surgical intervention, transarterial chemoembolization (TACE), radiofrequency ablation (RFA), systemic therapy, or any other preoperative intervention. * Presence of major vascular invasion, bile duct invasion/thrombosis, extrahepatic metastasis, or lymph node involvement. * Diffuse hepatocellular carcinoma or tumor rupture with hemorrhage. * Lack of key data required for primary analysis. * Poor image quality that prevents reliable qualitative or radiomics analysis.
Where it's running
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Meng Chao Hepatobiliary Hospital of Fujian Medical University
Fuzhou, Fujian, China Recruiting -
Guangdong Provincial Hospital of Traditional Chinese Medicine
Guangzhou, Guangdong, China Recruiting -
Zhujiang Hospital
Guangzhou, Guangdong, China Recruiting -
Fifth Affiliated Hospital, Sun Yat-Sen University
Zhuhai, Guangdong, China Recruiting -
Zhuhai People's Hospital
Zhuhai, Guangdong, China Recruiting -
First Affiliated Hospital of Guangxi Medical University
Nanning, Guangxi, China Recruiting
Show 13 more locations
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Guizhou Provincial People's Hospital
Guiyang, Guizhou, China Recruiting -
Henan Provincial People's Hospital
Zhengzhou, Henan, China Recruiting -
Shengjing Hospital
Shenyang, Liaoning, China Recruiting -
West China Hospital
Chengdu, Sichuan, China Recruiting -
Dazhou Central Hospital
Dazhou, Sichuan, China Recruiting -
First Affiliated Hospital of Kunming Medical University
Kunming, Yunnan, China Recruiting -
The First People's Hospital of Yunnan Province
Kunming, Yunnan, China Recruiting -
Yunnan Cancer Hospital
Kunming, Yunnan, China Recruiting -
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting -
Beijing Tsinghua Changgeng Hospital
Beijing, China Recruiting -
Beijing YouAn Hospital
Beijing, China Recruiting -
Peking Union Medical College Hospital
Beijing, China Recruiting -
Eastern Hepatobiliary Surgery Hospital
Shanghai, China Recruiting
Study contacts
- Study coordinator: Di Dong, Ph.D.
- Email: di.dong@ia.ac.cn
- Phone: +86 13811833760
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.