Prognostic model for predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study
We developed a reliable nomogram that can accurately predict the 1-, 3-, and 5-year RFS for HCC patients with high SII levels following ablation therapy.
Authors
- Wenying Qiao (ORCID: https://orcid.org/0000-0002-9687-4073)
- Yonghong Zhang (ORCID: https://orcid.org/0000-0002-5963-0256)
- Jinglong Chen (ORCID: https://orcid.org/0000-0003-1640-7115)
- Xiaoyan Ding
- Yiqi Xiong
- Ningning Lu
- Chuanren Zhao
- Shugui Sheng
Institutions
- Capital Medical University (CN)
- Beijing YouAn Hospital (CN)
- Beijing Ditan Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3389/fimmu.2024.1459740
- Citations
- 7
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.98