Comparison of Radiomic Features from Different MRI Sequences for Predicting Synchronous Liver Metastases after Rectal Cancer
The optimal feature set-based predictive model demonstrated the highest accuracy for SLM detection, with the RF algorithm outperforming LR and SVM by consistently achieving the best AUC and balanced diagnostic performance.
Authors
- Xiaofu Li (ORCID: https://orcid.org/0000-0002-9999-4732)
- Han Liu (ORCID: https://orcid.org/0000-0002-3029-0171)
- Yuhang Wang (ORCID: https://orcid.org/0009-0007-1601-7412)
- Yu‐Peng Wu (ORCID: https://orcid.org/0000-0001-7712-4317)
- Jiayi Xie
- Shun-Bing Shi (ORCID: https://orcid.org/0009-0004-8062-0628)
- Apekshya Singh
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-11-28
- DOI
- https://doi.org/10.2174/0115734056399652251029204023
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00