Three-dimensional multimodal imaging for predicting early recurrence of hepatocellular carcinoma after surgical resection
The MM-RDLM model demonstrated strong predictive performance for early postoperative recurrence of HCC. These findings contribute to identifying patients at high risk for early recurrence and provide insights into the potential underlying biological mechanisms.
Authors
- Xia Ji (ORCID: https://orcid.org/0000-0001-7597-2769)
- Hanzhi Dong
- Hengtian Xu (ORCID: https://orcid.org/0000-0002-4259-9897)
- Ruining Li (ORCID: https://orcid.org/0000-0001-6180-8132)
- Chang Hong (ORCID: https://orcid.org/0000-0001-5467-7226)
- Lushan Xiao (ORCID: https://orcid.org/0000-0002-8387-6336)
- Hao Cui (ORCID: https://orcid.org/0000-0003-1445-0136)
- Li Liu (ORCID: https://orcid.org/0000-0002-5265-4159)
- Yan Li (ORCID: https://orcid.org/0000-0002-2422-7950)
- Hongbo Zhu
- Pu Jiang (ORCID: https://orcid.org/0000-0002-1942-5960)
- Jie Peng (ORCID: https://orcid.org/0000-0003-0928-3134)
- Lin Zeng (ORCID: https://orcid.org/0000-0001-9231-9374)
- Huangying Deng
- Qijie Deng
- Shengxing Liang
- Jiaren Wang
Institutions
- Nanchang University (CN)
- Guiyang Medical University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Jiangxi Provincial Cancer Hospital (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- First Affiliated Hospital of University of South China (CN)
- First Affiliated Hospital of Nanchang University (CN)
- Southern Medical University (CN)
- University of South China (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1016/j.jare.2025.06.031
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72