Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis
By combining multiparameter magnetic resonance imaging with the effectiveness and robustness of ML-based predictive models, the proposed clinical RFM can serve as an insight tool for preoperative assessment of MLM risk stratification and provide important information for individual diagnosis and treatment of rectal cancer patients.
Authors
- Zhi‐Da Long
- Zhi-Xiang Xing
- Yu Xiao (ORCID: https://orcid.org/0009-0007-7750-6631)
- Rui Wang (ORCID: https://orcid.org/0000-0002-2629-4735)
Institutions
- Yangtze University (CN)
Publication Details
- Journal
- World Journal of Gastrointestinal Oncology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.4251/wjgo.v17.i1.96598
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43