MRI Features and Neutrophil-to-Lymphocyte Ratio (NLR)-Based Nomogram to Predict Prognosis of Microvascular Invasion-Negative Hepatocellular Carcinoma
The nomogram prognostic model based on MRI features and NLR for predicting RFS showed high accuracy in MVI-negative HCC patients after curative resection. It can help clinicians make treatment decisions for MVI-negative HCC patients and identify high-risk patients for timely intervention.
Authors
- Yang Zhao (ORCID: https://orcid.org/0000-0002-2558-8563)
- Wei Pei (ORCID: https://orcid.org/0000-0001-5201-6432)
- Hai Liao (ORCID: https://orcid.org/0000-0003-0095-0826)
- Yunyun Wei (ORCID: https://orcid.org/0000-0003-2547-2402)
- Xiaowu Huang
Institutions
- Guangxi Medical University (CN)
- Hegang People's Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/jhc.s486955
- Citations
- 1
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- Natural Science Foundation of Guangxi Province
- Guangxi Medical University