Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study
The DLRN model based on multiphase CT imaging provides an accurate, non-invasive tool for preoperative prediction of ccRCC nuclear grade.
Authors
- Tianhao Ma (ORCID: https://orcid.org/0000-0003-3523-4248)
- Wenfeng Liao
- C. Yang
- Y.B. Luo
- Hongcheng Zhao (ORCID: https://orcid.org/0009-0005-2944-7011)
- Buwei Wu
- Zhiling Zhang
- Xin Yao
Institutions
- Sun Yat-sen University (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1186/s12880-026-02268-5
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00