Multiparameter computed tomography (CT) radiomics signature fusion-based model for the preoperative prediction of clear cell renal cell carcinoma nuclear grade: a multicenter development and external validation study
The multiparameter CT RS fusion-based model had high accuracy in differentiating between high- and low-grade CCRCC preoperatively. Thus, it has great potential as a useful tool for personalized treatment planning and clinical decision making for CCRCC patients.
Authors
- Haoming Guo (ORCID: https://orcid.org/0009-0000-3168-4167)
- Fajin Lv (ORCID: https://orcid.org/0000-0002-1100-5494)
- Yineng Zheng
- Qing Jiang (ORCID: https://orcid.org/0000-0003-1875-6263)
- Mingzhao Xiao (ORCID: https://orcid.org/0000-0001-6989-5971)
- Yingjie Xv (ORCID: https://orcid.org/0000-0001-5585-6058)
- Zongjie Wei
- Xuan Zhang (ORCID: https://orcid.org/0000-0001-8775-1699)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-09-23
- DOI
- https://doi.org/10.21037/qims-24-35
- Citations
- 4
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Chongqing Medical University
- Chongqing Municipal Education Commission