Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading
The triphasic CT radiomics model provides a noninvasive tool for preoperative prediction of HCC pathological grading (Ed, MVI, SN), enhancing diagnostic accuracy for clinical decision-making and prognostic evaluation.
Authors
- Xianpan Pan
- Qiao Ling Zhao
- Yingdan Zhang (ORCID: https://orcid.org/0000-0002-9676-0746)
- Yingying Huang (ORCID: https://orcid.org/0000-0002-0073-8780)
- Lei Chen (ORCID: https://orcid.org/0000-0002-9582-922X)
- Wei Lu (ORCID: https://orcid.org/0000-0003-1658-1703)
- Ke Ding (ORCID: https://orcid.org/0000-0001-7869-4143)
- Jie Yang
- Yaohong Deng
- Haibo Huang
- Lifeng Huang (ORCID: https://orcid.org/0000-0001-6494-544X)
Institutions
- Guangxi Medical University (CN)
- Beibu Gulf University (CN)
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- United Imaging Healthcare (China) (CN)
- Riverside Hospital of Guangxi Zhuang Autonomous Region (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-08-01
- DOI
- https://doi.org/10.2147/jhc.s527056
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00