Predicting Resistance and Survival of HCC Patients Post-HAIC: Based on Shapley Additive exPlanations and Machine Learning
Pre-HAIC treatment, tumor size, HBV DNA, AKP, PT, and PVTT are effective predictors of post-HAIC resistance and survival in patients with unresectable advanced HCC.
Authors
- Bei Tang
- Bing Quan (ORCID: https://orcid.org/0000-0003-1821-2274)
- Shenxin Lu (ORCID: https://orcid.org/0000-0003-2744-5635)
- Xin Yin (ORCID: https://orcid.org/0000-0002-9892-7845)
- Jing Li (ORCID: https://orcid.org/0000-0002-2256-9818)
- Francis Y. Yao (ORCID: https://orcid.org/0000-0003-0623-0715)
- Jinlin Miao
Institutions
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/jhc.s523806
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36