AI-based automatic estimation of single-kidney glomerular filtration rate and split renal function using non-contrast CT
Renal function can be assessed using non-contrast CT and AI. Estimated renal function significantly correlated with the SPECT-based measurements. The efficiency of renal function estimation can be refined by the proposed method.
Authors
- Qiu-Yue Han (ORCID: https://orcid.org/0000-0002-2555-7580)
- Daoying Geng (ORCID: https://orcid.org/0000-0002-3585-6883)
- Xin Gao (ORCID: https://orcid.org/0000-0001-9906-0596)
- Bin Xu (ORCID: https://orcid.org/0000-0001-5732-7985)
- Yiwei Wang (ORCID: https://orcid.org/0000-0003-1314-1833)
- Wei Xia (ORCID: https://orcid.org/0000-0003-3368-4050)
- Feng Xu (ORCID: https://orcid.org/0009-0003-2371-9579)
Institutions
- Chinese Academy of Sciences (CN)
- Fudan University (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- Shanghai Ninth People's Hospital (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1186/s13244-025-01959-x
- Citations
- 2
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Government of Jiangsu Province
- Key Technology Research and Development Program of Shandong