Noninvasive CT radiomics-clinical model accurately classifies anhydrous uric acid stones: a multicenter study
This study demonstrates that integrating CT-based radiomics with key clinical variables significantly improves preoperative differentiation of AUAs, providing a robust, non-invasive diagnostic tool that can enhance personalized treatment strategies. Future research should aim to incorporate metabolomic profiling and advanced imaging modalities to further optimize clinical translation and implementation.
Authors
- Zhen Xu (ORCID: https://orcid.org/0000-0002-0041-4882)
- Liming Zhang (ORCID: https://orcid.org/0000-0003-2339-1908)
- Lili Guo (ORCID: https://orcid.org/0000-0002-4034-6968)
- Xuzhong Liu
- Zhaofei Shi
- Wei Xing Zheng (ORCID: https://orcid.org/0000-0002-0572-5938)
Institutions
- Nantong University (CN)
- Huaian First People’s Hospital (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- World Journal of Urology
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1007/s00345-025-06152-9
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 0.00