Predictive Value of Hepatic Steatosis for Postoperative Recurrence in Hepatitis B-Related Hepatocellular Carcinoma: Development of a Machine Learning-Based Prognostic Model
Preoperative hepatic steatosis is an independent predictor of recurrence after radical resection in patients with HBV-related HCC. The RSF-based machine learning model incorporating hepatic steatosis and other clinicopathological factors effectively predicts postoperative recurrence risk and may facilitate personalized clinical decision-making in this patient population.
Authors
- Weiyu Hu (ORCID: https://orcid.org/0000-0001-6480-7979)
- Chao Qu (ORCID: https://orcid.org/0000-0002-6313-5688)
- Changlei Li
- Ai-xia Hao
- Na Li (ORCID: https://orcid.org/0000-0002-6227-8433)
- Kun Li (ORCID: https://orcid.org/0000-0002-0678-1122)
- Ruitao Sun
- Jingyu Cao (ORCID: https://orcid.org/0009-0005-6184-5220)
- Bin Tan
- Guanming Shao
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-10-31
- DOI
- https://doi.org/10.2147/jhc.s536629
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00