Multiparametric MRI-based radiomics and clinical nomogram predicts the recurrence of hepatocellular carcinoma after postoperative adjuvant transarterial chemoembolization
A multiparametric MRI-based radiomics model can predict RFS of HCC patients receiving PA-TACE and a nomogram can be served as an individualized tool for prognosis.
Authors
- Chaoming Huang (ORCID: https://orcid.org/0000-0001-5075-1994)
- Lingling Zhou (ORCID: https://orcid.org/0000-0002-2274-6749)
- Minjiang Chen (ORCID: https://orcid.org/0000-0002-4040-6115)
- Xinyu Guo (ORCID: https://orcid.org/0000-0002-7282-7379)
- Jingjing Song (ORCID: https://orcid.org/0000-0003-0506-4671)
- Jianfei Tu (ORCID: https://orcid.org/0009-0008-1391-8239)
- Shuang Liu (ORCID: https://orcid.org/0000-0003-4046-5905)
- Feng Chen
- Lingyi Zhu
- Guihan Lin
- Weiyue Chen (ORCID: https://orcid.org/0000-0002-1313-0168)
- Zhongwei Zhao (ORCID: https://orcid.org/0000-0002-4790-5005)
- Liyun Zheng (ORCID: https://orcid.org/0000-0001-7750-4109)
- Jiansong Ji (ORCID: https://orcid.org/0000-0003-4727-2794)
Institutions
- Zhejiang Chinese Medical University (CN)
- Wenzhou Medical University (CN)
- Lishui University (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1186/s12885-025-14079-y
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 10.88