Article ; Online: Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years
Journal of Clinical Medicine, Vol 12, Iss 23, p
2023 Volume 7282
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 ... ...
| 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 m 2 ) were recruited. Annual 3T multiparametric renal MRI scans were performed, comprising total kidney volume (TKV), longitudinal relaxation time (T 1 ), apparent diffusion coefficient (ADC), Arterial Spin Labelling, and Blood Oxygen Level Dependent relaxation time (T 2 *), with 15 patients completing a Year 2 scan. CKD progression over 2 years was defined as eGFR_slope ≥ −5 mL/min/1.73 m 2 /year. Results: At baseline, T 1 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 T 1 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 T 2 * at Year 1 or Year 2 for progressors or stable participants. Conclusion: Lower renal cortex perfusion and higher T 1 in the cortex and medulla may predict CKD progression, while renal cortex T 1 , TKV, and ADC may be useful to monitor progression. This study provides pilot data for future large-scale studies. |
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| Keywords | chronic kidney disease ; magnetic resonance imaging ; multiparametric ; progression ; monitoring ; Medicine ; R |
| Language | English |
| Publishing date | 2023-11-01T00:00:00Z |
| Publisher | MDPI AG |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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