A computed tomography-based radiomics prediction model for BRAF mutation status in colorectal cancer
A machine learning model based on CT radiomics can effectively predict BRAF mutations in patients with colorectal cancer. The unexpanded RF model demonstrated optimal predictive performance.
Authors
- Baohua Zhou (ORCID: https://orcid.org/0000-0001-9699-6292)
- Bin Huang (ORCID: https://orcid.org/0000-0002-8878-828X)
- Yuxuan Wang (ORCID: https://orcid.org/0000-0002-2932-6042)
- Zhijie Wang (ORCID: https://orcid.org/0000-0002-7722-4956)
- Junlin Zhou (ORCID: https://orcid.org/0000-0001-8109-6347)
- Shihui Zhang (ORCID: https://orcid.org/0000-0002-6418-5513)
- Zhan Wang (ORCID: https://orcid.org/0000-0002-5791-1097)
- Huaqing Tan
- Xiaobo Zhu
- Yuntai Cao (ORCID: https://orcid.org/0000-0002-1747-4232)
Institutions
- Qinghai University Affiliated Hospital (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1007/s00261-025-04983-z
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36