Modeling 5-Year Hepatocellular Carcinoma Risk in Alaska Native Peoples With Hepatitis B Virus Infection
We developed an HCC risk prediction model using rich information from different time points in a patient's disease trajectory. Our model can accurately estimate HCC risk at different time points during follow-up for risk stratification and risk-based surveillance.
Authors
- Trang VoPham (ORCID: https://orcid.org/0000-0003-4787-1201)
- Yong‐Jun Liu (ORCID: https://orcid.org/0000-0002-1728-480X)
- Janet M. Johnston (ORCID: https://orcid.org/0000-0001-8738-9677)
- Nicole J. Kim (ORCID: https://orcid.org/0000-0003-2348-0580)
- Qianchuan He (ORCID: https://orcid.org/0000-0001-7044-6591)
- George N. Ioannou (ORCID: https://orcid.org/0000-0003-1796-8977)
- Xiaohong Li (ORCID: https://orcid.org/0000-0003-4438-2664)
- Ziding Feng (ORCID: https://orcid.org/0000-0003-3051-8882)
- William M. Grady (ORCID: https://orcid.org/0000-0002-0129-7809)
- Tracey L. Marsh (ORCID: https://orcid.org/0000-0002-6865-5092)
- Brian J. McMahon (ORCID: https://orcid.org/0000-0002-2347-7771)
- Jorge Mera (ORCID: https://orcid.org/0000-0003-2865-552X)
- Chriss Homan
Institutions
- Alaska Native Tribal Health Consortium (US)
- University of Washington (US)
- Cherokee Nation (US)
- Fred Hutch Cancer Center (US)
- VA Puget Sound Health Care System (US)
Publication Details
- Journal
- Gastro Hep Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.gastha.2025.100661
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Foundation for the National Institutes of Health
- National Institutes of Health