Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma
The machine learning-based multiparametric MRI radiomics nomogram provides a highly predictive, non-invasive tool for preoperative prediction of WHO/ISUP nuclear grading in patients with ccRCC.
Authors
- Mengtong Liu
- Huabin Hu (ORCID: https://orcid.org/0000-0003-1352-2206)
- Jianjun Zhang (ORCID: https://orcid.org/0000-0002-9853-3416)
- Ziwei Zhang (ORCID: https://orcid.org/0000-0002-5705-4611)
- Yunze Yang
Institutions
- Hebei Medical University (CN)
- Chengde Medical University (CN)
- Baoding People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-07
- DOI
- https://doi.org/10.3389/fonc.2024.1467775
- Citations
- 9
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.77