Clinical trial · Observational
Risk Assessment for HBV-Related Liver Cancer
Research on Risk Assessment and Intervention of HBV-Related Liver Cancer Based on Multimodal Data Fusion
- 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)
Liver cancer is a severe disease worldwide. The incidence and mortality rates of liver cancer in China is the highest in the world. This project aims to perform a prospective, multi-center, large sample cohort study for HBV related high-risk individuals. Based on multimodal data fusion and AI technique, stratified management and follow-up system are conducted for HBV-related high-risk populations of liver cancer, in order to improve the early diagnosis rate of liver cancer.
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 |
|---|---|---|---|
| HBV-related Liver Cirrhosis | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI folow-up system | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Routine follow-up group
- description
- Patients in this cohor will be followed up every 24 weeks (or every 8-12 weeks for extremely high-risk population) routinely. Alpha fetoprotein, PIVKA-II, liver imaging examination, liver function, et al will be performed for these patients at each follow-up point.
- label
- AI system follow-up group
- description
- Patients in this cohor will be followed up every 24 weeks (or every 8-12 weeks for extremely high-risk population). Alpha fetoprotein, PIVKA-II, liver imaging examination, liver function, et al will be performed for these patients at each follow up point. An AI system will be used to manage follow-up patients.
- interventionNames
- Other: AI folow-up system
Primary outcomes (1)
- measure
- Number and specific time of participants progressing to liver cancer
- timeFrame
- 5 years
- description
- Number and specific time of participants progressing to liver cancer
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 30 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: must meet (a) and any one of (b) to (g). * (a).Positive for Hepatitis B surface antigen; (b).Ultrasound/CT/MR indicates liver cirrhosis; (c). Type II diabetes; (d). Has family history of liver cirrhosis/ liver cancer; (e). Long term alcohol consumption history (\>5 years), equivalent to alcohol consumption of ≥ 40g/d for males and ≥ 20g/d for females; (f). Liver histology Metavir fibrosis score F3 or above; (g). Fibroscan value (LSM) ≥ 8.0kPa. Exclusion Criteria: * (a).Diagnosed with malignant tumors; (b). Post liver transplantation; (c). Infected with HIV; (d). Expected survival time\<1 year; (e). With marked organ dysfunctions(heart, brain, kidney, lung, endocrine system, blood, etc.) or psychiatric patients.
References
Publications (2)
- RESULTShan T, Ran X, Li H, Feng G, Zhang S, Zhang X, Zhang L, Lu L, An L, Fu R, Sun K, Wang S, Chen R, Li L, Chen W, Wei W, Zeng H, He J. Disparities in stage at diagnosis for liver cancer in China. J Natl Cancer Cent. 2023 Jan 3;3(1):7-13. doi: 10.1016/j.jncc.2022.12.002. eCollection 2023 Mar. PMID 39036312
- RESULTSingh SP, Madke T, Chand P. Global Epidemiology of Hepatocellular Carcinoma. J Clin Exp Hepatol. 2025 Mar-Apr;15(2):102446. doi: 10.1016/j.jceh.2024.102446. Epub 2024 Oct 28. PMID 39659901