Multiphase MRI radiomics model for predicting microvascular invasion in HCC: Development and clinical validation
The multi-phase MRI-based radiomics model significantly improves MVI prediction accuracy in HCC patients. This non-invasive approach could enhance preoperative assessment and treatment planning.
Authors
- Nazar Zaki (ORCID: https://orcid.org/0000-0002-6259-9843)
- Ruodai Wu
- Fuqiang Chen (ORCID: https://orcid.org/0000-0001-7795-9891)
- Songxiong Wu
- Wenjian Qin (ORCID: https://orcid.org/0000-0003-2547-0394)
- Yue Peng (ORCID: https://orcid.org/0009-0003-1716-9355)
- Bing Xiong (ORCID: https://orcid.org/0000-0002-3006-7295)
Institutions
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- United Arab Emirates University (AE)
- University of Hong Kong - Shenzhen Hospital (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- iLiver
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1016/j.iliver.2025.100165
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08