Predictive Radiomics-Based Model for Recurrence-Free Survival After Curative Resection in Patients with Hepatocellular Carcinoma
This postoperative predictive model allows for better screening of patients at a high risk of recurrence and is a valuable instrument to guide clinicians in clinical treatment decisions.
Authors
- Zhongkun Lin (ORCID: https://orcid.org/0000-0002-5381-5081)
- Wensheng Qiu (ORCID: https://orcid.org/0000-0002-4293-9193)
- Jìng Guo (ORCID: https://orcid.org/0000-0002-2177-6970)
- Shasha Wang (ORCID: https://orcid.org/0000-0001-6262-0537)
- Jing Lv (ORCID: https://orcid.org/0000-0003-2801-743X)
- Siyi Zhang (ORCID: https://orcid.org/0000-0001-8669-5285)
- Jialin Song (ORCID: https://orcid.org/0000-0002-2588-3554)
- Jinfeng Cui (ORCID: https://orcid.org/0000-0002-8928-3902)
- Xiaojuan Huang
Institutions
- Qingdao University (CN)
- Shandong Provincial Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-08-01
- DOI
- https://doi.org/10.2147/jhc.s535492
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Beijing Xisike Clinical Oncology Research Foundation