MRI-derived radiomics for risk stratification of tumor deposits in rectal cancer: a dual-center study
Tumor and nodule features support effective stratification of TD. The fusion model for TD classification outperforms two radiologists. MRI-based radiomics aids TD risk stratification.
Authors
- Yindeng Luo
- Zehong Cao
- Huan Zhao
- Feng Shi
- Changjiang Zhang
- Yi Yang
- Xiaojing He
- Xinjie Liu
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- United Imaging Healthcare (China) (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1186/s13244-025-02204-1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00