Body composition radiomics combined with machine learning for early recurrence prediction in intrahepatic cholangiocarcinoma following curative surgery: A Multi-Center study
Integration of body composition radiomics and clinical factors in RCML models significantly improves ER prediction for resected ICC, enabling clinically actionable risk stratification. This approach leverages routinely acquired preoperative CT to quantify metabolic-immunologic derangements, providing opportunities for personalized surveillance protocols targeting high-risk patients.
Authors
- L T Wang
- Yong Gan (ORCID: https://orcid.org/0000-0002-7330-2937)
- Ziyan Chen (ORCID: https://orcid.org/0009-0005-0598-9617)
- Jian Lin
- Bin Zhou (ORCID: https://orcid.org/0000-0002-8076-0960)
- Lijun Wu (ORCID: https://orcid.org/0000-0002-3120-3121)
- Ziyi Zhang (ORCID: https://orcid.org/0000-0003-1927-8451)
- Gang Chen (ORCID: https://orcid.org/0000-0001-6067-6959)
- Xin Zhao (ORCID: https://orcid.org/0000-0002-2478-8483)
- Yurong Wang (ORCID: https://orcid.org/0000-0003-1137-1520)
- Xiao Liang (ORCID: https://orcid.org/0000-0002-4079-4752)
- Zefeng Shen (ORCID: https://orcid.org/0000-0003-1233-2275)
- W. Guan (ORCID: https://orcid.org/0009-0003-5086-849X)
- Cailian Cheng
- Enguang Zou
- Yi Wang (ORCID: https://orcid.org/0000-0001-9081-120X)
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Zhejiang Lab (CN)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1007/s00259-025-07538-y
- Citations
- 1
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- National Natural Science Foundation of China
- Wenzhou Municipal Science and Technology Bureau
- National Health Commission of the People's Republic of China
- National Key Research and Development Program of China