A predictive model for WHO/ISUP pathologic grading of renal clear cell carcinoma based on CT radiomics: a multicenter study
The combined model based on CT radiomics combined with clinical- imaging features can effectively predict the WHO/ISUP pathological grade of ccRCC, providing more basis for the prognosis assessment of patients.
Authors
- Yuzhen Xi
- Xu Wang (ORCID: https://orcid.org/0000-0002-9230-5754)
- Guangjin Li (ORCID: https://orcid.org/0000-0002-5956-4033)
- Weiying Sun
- Zhongxiang Ding (ORCID: https://orcid.org/0000-0001-7691-5571)
- Chunying Wu (ORCID: https://orcid.org/0000-0002-6782-2610)
- Juanjuan Hu (ORCID: https://orcid.org/0000-0001-9692-4678)
- Xiaofei Jiao
Institutions
- Westlake University (CN)
- Quzhou City People's Hospital (CN)
- 117th Hospital of People's Liberation Army (CN)
- Zhejiang Cancer Hospital (CN)
- Zhejiang Provincial People's Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
Publication Details
- Journal
- BMC Nephrology
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12882-025-04268-z
- Citations
- 1
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52