Deep learning-based MRI model for predicting P53-mutated hepatocellular carcinoma
The combined model incorporating AP, VP, T2WI, and HBP sequences demonstrated numerically highest performance in predicting P53-mutated HCC.
Authors
- J Q Lei
- Gang Huang (ORCID: https://orcid.org/0009-0006-6794-5481)
- Jinkui. Li
- Xinxin Guo (ORCID: https://orcid.org/0000-0001-7127-770X)
- Hao Xu (ORCID: https://orcid.org/0000-0002-6979-3761)
- Qing Yang
- Zhijun Wang
- Lulu Jia
- Hanchen Jiang
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- University of California, Los Angeles (US)
- Gansu Provincial Hospital (CN)
- Ningxia Medical University (CN)
- Anqing City Hospital (CN)
- Ningxia Medical University General Hospital (CN)
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1186/s12880-025-02045-w
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Anhui Provincial Department of Education