Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancer
How do tumor and peritumoral (3-5 mm) models-based SR images perform in predicting lymph node metastasis (LNM)? The DWI_T2WI_IntraPeri3mm model, when combined with clinical factors, improves diagnostic accuracy. Multiparametric, multiregional super-resolution (SR)-MRI radiomics models exhibit good performance for LNM.
Authors
- Yuhang Wang (ORCID: https://orcid.org/0000-0003-3715-8349)
- Jiayi Xie (ORCID: https://orcid.org/0000-0002-8712-326X)
- Xiaofu Li (ORCID: https://orcid.org/0000-0002-5201-3466)
- Shengming Shi
- Apekshya Singh
- Yupeng Wu
- Tao Jiang
- Han Liu
Institutions
- Harbin Medical University (CN)
- Daqing City People's Hospital (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1186/s13244-025-02173-5
- Citations
- 1
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 24.20