CT-based subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma: an exploratory study of biological mechanisms
Subregional and peritumoral radiomics models accurately predicted ccRCC (clear cell renal cell carcinoma) histological T stage. Radiomics score identified that high-risk ccRCC patients had poorer overall survival. Predictive radiomic features (RFs) were associated with biological pathways underlying tumor invasion.
Authors
- Jingyi Huang (ORCID: https://orcid.org/0000-0002-1209-9699)
- Yuan Zeng (ORCID: https://orcid.org/0000-0003-1379-7840)
- Chenglong Wang (ORCID: https://orcid.org/0000-0003-2410-3824)
- Q Q Liu
- Dai-Quan Zhou
- Xuan Lang
Institutions
- West China Medical Center of Sichuan University (CN)
- Third People 's Hospital of Chongqing (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1186/s13244-026-02226-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00