MRI radiomic study on prediction of nonenlarged lymph node metastasis of rectal cancer: reduced field-of-view versus conventional DWI
rDWI, cDWI, and T2WI radiomics could help assess NELNM of rectal cancer. Radiomic features based on rADC outperformed those based on rDWIb800, cADC, cDWIb800, and T2WI in predicting NELNM. For rDWI radiomics, the ADC map was more accurate and reliable than DWI to assess NELNM for region of interest delineation.
Authors
- Xuemei Hu (ORCID: https://orcid.org/0000-0003-3584-5639)
- Weinuo Qu
- Daoyu Hu (ORCID: https://orcid.org/0000-0001-9281-8552)
- Jing Wang (ORCID: https://orcid.org/0000-0003-3318-2130)
- Yaqi Shen (ORCID: https://orcid.org/0000-0003-0589-8975)
- Zhen Li (ORCID: https://orcid.org/0000-0001-8037-4245)
- Peng Yang
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1186/s41747-025-00575-0
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China