Computed tomography radiomics-derived nomogram for prediciting early renal function decline after partial nephrectomy in renal cell carcinoma: a multicenter development/validation study
Radiomics signatures derived from CT images of both tumor and normal renal tissue, when integrated with clinical parameters, can accurately predict early renal function decline following PN. The proposed nomograms may facilitate individualized risk stratification and optimize surgical decision-making.
Authors
- Jie Chen (ORCID: https://orcid.org/0000-0002-9254-4413)
- Q S Zheng
- Jin Zhou (ORCID: https://orcid.org/0000-0002-5534-1123)
- Zhengsheng Liu (ORCID: https://orcid.org/0000-0002-9960-129X)
- Qian-Ren-Shun Qiu
- Xu Nl
- Huijun Chen (ORCID: https://orcid.org/0009-0006-1942-3080)
- Junyi Chen (ORCID: https://orcid.org/0000-0002-0388-2120)
- Shao-Hao Chen
- Ze-Yu Yi
- Ying-Jie Xv
- Jun-Ming Zhu
- Dun-Hao Huang
- Yong Wei
- Cheng-Long Zeng
- Xue-Yi Xue
- Xiao-Hui Wu
- Lu-Na Zhao
Institutions
- Fujian University of Traditional Chinese Medicine (CN)
- Fujian Medical University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2026-01-26
- DOI
- https://doi.org/10.1097/js9.0000000000004782
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00