Combining serum biomarkers and MRI radiomics to predict treatment outcome after thermal ablation in hepatocellular carcinoma
The integrated clinical-radiological-radiomics model showed excellent predictive performance for the prognosis of HCC patients undergoing RFA, surpassing individual models. Key predictors included serum AFP, AFP-L3 levels, intratumoral hemorrhage, and peritumoral low signal intensity. This multimodal approach offers a promising tool for individualized prognostic assessment and improved clinical decision-making.
Authors
- Ludong Zhao
Institutions
- Linyi People's Hospital (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- American Journal of Translational Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62347/tfrf1430
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72