Comparison of reduced field‐of‐view DWI with conventional DWI for machine learning‐based assessment of lymphovascular invasion in rectal cancer
RDWI-derived radiomics performed better than T2WI and fDWI in differentiating LVI. Radiomic models based on rDWI were promising tools for facilitating clinical assessment of LVI status in rectal cancer.
Authors
- 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/0000-0002-8853-4941)
- Peng Yang
- Jiali Li (ORCID: https://orcid.org/0000-0002-9480-9569)
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1002/mp.70015
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00