MRI-Based Deep Learning and Radiomics Nomogram for Predicting Hepatocellular Carcinoma Recurrence Within Six Months After Thermal Ablation
The DL-Rad-Clinical nomogram helped in identifying HCC patients with early recurrence within six months following thermal ablation.
Authors
- Chengshi Chen
- Zheng Lin (ORCID: https://orcid.org/0000-0001-5242-716X)
- Hong-Tao Hu (ORCID: https://orcid.org/0000-0002-5432-4014)
- Han Qi (ORCID: https://orcid.org/0000-0002-2803-5059)
- Weiwei Guan (ORCID: https://orcid.org/0000-0003-3602-6221)
- Yanan Zhao (ORCID: https://orcid.org/0000-0002-6634-2949)
- Yao Chen (ORCID: https://orcid.org/0000-0001-7231-9860)
- Xiang Geng (ORCID: https://orcid.org/0009-0008-2311-9705)
- Di Wu (ORCID: https://orcid.org/0000-0003-0604-4314)
- Ho-Young Song
Institutions
- Sun Yat-sen University (CN)
- Henan Cancer Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-10-01
- DOI
- https://doi.org/10.2147/jhc.s541329
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Henan Province