Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models
A combined model of cortical f<sub>IVIM</sub>, MK<sub>DKI</sub> and eGFR provides a useful comprehensive tool for grading IF, with cortical f<sub>IVIM</sub> and α<sub>SEM</sub> as potential biomarkers for CKD progression.
Authors
- Wen‐Jone Chen (ORCID: https://orcid.org/0000-0002-2098-5922)
- Ting Yin
- Omar Darwish (ORCID: https://orcid.org/0000-0003-4747-9007)
- Guanjie Yuan
- Lingli Cai (ORCID: https://orcid.org/0009-0005-1978-2764)
- Ping Liang (ORCID: https://orcid.org/0000-0002-8305-1326)
- Zhouyan Liao
- Chuou Xu (ORCID: https://orcid.org/0000-0002-2346-3150)
- Kailun Zhou (ORCID: https://orcid.org/0009-0008-3967-2791)
- Zhen Li (ORCID: https://orcid.org/0000-0001-8037-4245)
- Min Han (ORCID: https://orcid.org/0000-0001-6240-8667)
Institutions
- Siemens Healthineers (Germany) (DE)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1080/0886022x.2025.2480751
- Citations
- 4
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 5.44