Radiomics-based tumor heterogeneity augments clinicopathological models for predicting recurrence in high-risk clear cell renal cell carcinoma after nephrectomy
For high-risk ccRCC, CT radiomics provides incremental prognostic value beyond conventional clinicopathological models, enabling more precise recurrence risk stratification. This approach bridges imaging and precision oncology, with potential to optimize surveillance protocols and adjuvant therapy trial design.
Authors
- Zhengyu Hu (ORCID: https://orcid.org/0000-0001-6283-691X)
- Yaoyao Wu
- Zhan Feng (ORCID: https://orcid.org/0000-0001-9496-4211)
- Wenting Lan
- Zhi Li (ORCID: https://orcid.org/0000-0002-4750-9838)
- Piao Yang
Institutions
- First People's Hospital of Yuhang District (CN)
- Ningbo University Affiliated Hospital (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- Abdominal Radiology
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1007/s00261-025-05108-2
- Citations
- 1
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province