Dr Charlotte Buchanan CHARLOTTE.BUCHANAN@NOTTINGHAM.AC.UK
RESEARCH FELLOW
Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years
Buchanan, Charlotte E.; Mahmoud, Huda; Cox, Eleanor F.; Prestwich, Benjamin L.; Noble, Rebecca A.; Selby, Nicholas M.; Taal, Maarten W.; Francis, Susan T.
Authors
Huda Mahmoud
Dr ELEANOR COX ELEANOR.COX@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Dr BEN PRESTWICH Ben.Prestwich@nottingham.ac.uk
RESEARCH FELLOW
Rebecca A. Noble
Professor NICHOLAS SELBY Nicholas.Selby@nottingham.ac.uk
PROFESSOR OF NEPHROLOGY
Professor MAARTEN TAAL M.TAAL@NOTTINGHAM.AC.UK
PROFESSOR OF MEDICINE
Professor SUSAN FRANCIS susan.francis@nottingham.ac.uk
PROFESSOR OF PHYSICS
Abstract
Background: Multiparametric renal Magnetic Resonance Imaging (MRI) provides a non-invasive method to assess kidney structure and function, but longitudinal studies are limited. Methods: A total of 22 patients with CKD category G3-4 (estimated glomerular filtration rate (eGFR) 15–59 mL/min/1.73 m2) were recruited. Annual 3T multiparametric renal MRI scans were performed, comprising total kidney volume (TKV), longitudinal relaxation time (T1), apparent diffusion coefficient (ADC), Arterial Spin Labelling, and Blood Oxygen Level Dependent relaxation time (T2*), with 15 patients completing a Year 2 scan. CKD progression over 2 years was defined as eGFR_slope ≥ −5 mL/min/1.73 m2/year. Results: At baseline, T1 was higher (cortex p = 0.05, medulla p = 0.03) and cortex perfusion lower (p = 0.015) in participants with subsequent progression versus stable eGFR. A significant decrease in TKV and ADC and an increase in cortex T1 occurred in progressors at Year 1 and Year 2, with a significant decrease in perfusion in progressors only at Year 2. The only decline in the stable group was a reduction in TKV. There was no significant change in cortex or medulla T2* at Year 1 or Year 2 for progressors or stable participants. Conclusion: Lower renal cortex perfusion and higher T1 in the cortex and medulla may predict CKD progression, while renal cortex T1, TKV, and ADC may be useful to monitor progression. This study provides pilot data for future large-scale studies.
Citation
Buchanan, C. E., Mahmoud, H., Cox, E. F., Prestwich, B. L., Noble, R. A., Selby, N. M., Taal, M. W., & Francis, S. T. (2023). Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years. Journal of Clinical Medicine, 12(23), Article 7282. https://doi.org/10.3390/jcm12237282
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 20, 2023 |
Online Publication Date | Nov 24, 2023 |
Publication Date | Dec 1, 2023 |
Deposit Date | Nov 22, 2023 |
Publicly Available Date | Nov 23, 2023 |
Journal | Journal of Clinical Medicine |
Electronic ISSN | 2077-0383 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 23 |
Article Number | 7282 |
DOI | https://doi.org/10.3390/jcm12237282 |
Keywords | Chronic kidney disease; magnetic resonance imaging; multiparametric; progression; monitoring |
Public URL | https://nottingham-repository.worktribe.com/output/27591151 |
Publisher URL | https://www.mdpi.com/2077-0383/12/23/7282 |
Files
jcm-12-07282
(1.8 Mb)
PDF
Licence
https://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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