Machine learning prediction model for lateral lymph node metastasis in rectal cancer
EMVI, MRI cN stage, and NoELLN are significant predictive factors for predicting lateral lymph node pathology in patients with rectal cancer. These findings offer guidance for determining patient eligibility for LLND surgery.
Authors
- Songmei Geng (ORCID: https://orcid.org/0000-0001-8731-6267)
- Hongjie Yang (ORCID: https://orcid.org/0000-0002-8054-9313)
- Peishi Jiang (ORCID: https://orcid.org/0000-0001-7334-7660)
- Zhichun Zhang (ORCID: https://orcid.org/0000-0001-9626-8244)
- Longchun Dong
- Yi Sun (ORCID: https://orcid.org/0000-0001-8169-0530)
- Qingsheng Zeng (ORCID: https://orcid.org/0000-0001-6853-5245)
- Peng Li (ORCID: https://orcid.org/0000-0002-1719-8370)
- Yuanda Zhou (ORCID: https://orcid.org/0000-0002-3431-4599)
- Xipeng Zhang (ORCID: https://orcid.org/0000-0002-2434-8226)
- Shiyong Du
Institutions
- Nankai University (CN)
- Tianjin First Center Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Gastroenterology
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3389/fgstr.2025.1598686
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nankai University