Preoperative Noninvasive Prediction of Recurrence-Free Survival in Hepatocellular Carcinoma Using CT-Based Radiomics Model
The clinical-radiomics model effectively predicts RFS in HCC patients and identifies high-risk individuals for recurrence.
Authors
- Ya-Qiong He (ORCID: https://orcid.org/0000-0002-4848-9584)
- Ting Dai (ORCID: https://orcid.org/0009-0004-6136-6310)
- Qianbiao Gu (ORCID: https://orcid.org/0000-0002-2545-3175)
- Yingjie Peng (ORCID: https://orcid.org/0000-0003-0939-9671)
- Chuan-lin Yu
- Peng Liu (ORCID: https://orcid.org/0000-0002-0792-0657)
Institutions
- Hunan Normal University (CN)
- Hunan Provincial People's Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2024-11-01
- DOI
- https://doi.org/10.2147/jhc.s493044
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province