Interpretable model based on multisequence magnetic resonance imaging radiomics for predicting the pathological grades of hepatocellular carcinomas
An interpretable ML model based on MRI radiomics provides a noninvasive tool for predicting the pathological grade of HCCs, which will help clinicians develop personalized treatment plans.
Authors
- Zu-Mao Li
- Jing Zheng
- Lin Yang
- Peng Zhang
- Li Li
- Hui-Min Yang
- Yue Shi
Institutions
- North Sichuan Medical University (CN)
- Affiliated Hospital of North Sichuan Medical College (CN)
Publication Details
- Journal
- World Journal of Radiology
- Published
- 2025-12-26
- DOI
- https://doi.org/10.4329/wjr.v17.i12.112911
- Citations
- 1
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.32