Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients
Single-modality radiomics models exhibit limited predictive ability for DFS and OS in ESCC patients, whereas multi-modality radiomics models enhance predictive accuracy significantly.
Authors
- Z Z Wang
- Dexuan Li
- Bingmei Bai
- Chenyu Wang (ORCID: https://orcid.org/0000-0002-6527-2897)
- Funing Chu
- Keke Zhao
- Shuting Wang
- Guang Yang
Institutions
- Zhengzhou University (CN)
- Henan Cancer Hospital (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Translational Oncology
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1016/j.tranon.2026.102686
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00