Machine learning-based radiomics approach assessing preoperative non-contrast CT for microsatellite instability prediction in colon cancer
We validated the feasibility of non-contrast CT for MSI prediction in colon cancer with radiomics analysis, highlighting its potential as a flexible and cost-effective preliminary screening tool. This approach, which does not require supplementary medical examination, may enhance clinical decision-making by providing a valuable tool for identifying MSI-H molecular subtypes in colon cancer patients.
Authors
- Tao Shen (ORCID: https://orcid.org/0009-0009-3999-937X)
- Jianfeng He (ORCID: https://orcid.org/0000-0002-7700-788X)
- Yingjuan Wang (ORCID: https://orcid.org/0000-0001-7633-6203)
- Dongming Ren
- Luda Chen
Institutions
- Kunming University of Science and Technology (CN)
- Kunming Medical University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3389/fphys.2025.1672636
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00