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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.

Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years Thumbnail


Authors

Huda Mahmoud

ELEANOR COX ELEANOR.COX@NOTTINGHAM.AC.UK
Senior Research Fellow

Rebecca A. Noble



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., …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

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