Comprehensive machine learning analysis of a radiomics-based model for predicting microsatellite instability in right Colon Cancer
The RF-based joint clinicopathological-radiomics model exhibited excellent performance in predicting the dMMR status in right colon cancer, with good generalizability across the entire colon. This noninvasive model can serve as a reliable clinical decision support tool to optimize risk stratification and guide early intervention for patients with right colon cancer.
Authors
- Runxin Yang
- Dong Li (ORCID: https://orcid.org/0000-0002-0331-6022)
- Hailong Liu (ORCID: https://orcid.org/0000-0002-4161-3108)
- W. Wang
- Junchuan Li
- Lian Yin
- Li Liu
- Xiaoqiong Zhong
Institutions
- Qujiang People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fonc.2026.1759980
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00