The prognostic value of CT-measured body composition combined with radiomics in predicting the survival of patients with resectable colon cancer
Nomogram combining body composition and tumor radiomics features can help predict the long-term prognosis of patients with resectable colon cancer and may serve as an effective tool to promote individualized treatment.
Authors
- Tong Nie (ORCID: https://orcid.org/0009-0003-2544-3780)
- Chuansheng Zheng (ORCID: https://orcid.org/0000-0002-2435-1417)
- Xiaoyu Wu (ORCID: https://orcid.org/0000-0001-7179-4280)
- Mingming Song (ORCID: https://orcid.org/0000-0003-2140-9705)
- Yinghao Cao (ORCID: https://orcid.org/0000-0001-8221-7251)
- Feihong Wu (ORCID: https://orcid.org/0000-0002-2476-4203)
- Zhihao Liu (ORCID: https://orcid.org/0000-0003-1644-0679)
- Jiaxin Xu (ORCID: https://orcid.org/0000-0003-0478-5215)
- Xiaoling Zhi
- Yixin Heng
Institutions
- Union Hospital (HK)
- Harbin Medical University (CN)
- Jianghan University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Precision for Medicine (United States) (US)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Wuhan Union Hospital (CN)
- First Affiliated Hospital of Shihezi University Medical College (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
- Hubei University (CN)
- China Medical University (CN)
Publication Details
- Journal
- La radiologia medica
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1007/s11547-025-02135-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities