Artificial intelligence-driven CT radiomics model predicts prognosis in TACE-refractory hepatocellular carcinoma
The machine learning-based combined model can effectively predict the prognosis of HCC patients who continue TACE after developing TACE resistance. Rad-score, BCLC stage, and LMR are potential prognostic indicators for repeated TACE following TACE refractoriness.
Authors
- Hao Li (ORCID: https://orcid.org/0009-0005-4886-9666)
- Wei‐Xin Ren (ORCID: https://orcid.org/0000-0003-0314-0407)
- Yuanyuan Fan
- Yinghua Li (ORCID: https://orcid.org/0000-0002-2391-6738)
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- Sixth Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1007/s00261-025-05285-0
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00