Susan T. Francis
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Recent Grants
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MICA - DEfining MechanIsms Shared across mulTI-organ FIbrosis to prevent the development of long-term multi-morbidity DEMISTIFI-Multi Morbidity
Open Date: 2021-11-01
Close Date: 2025-10-31
Grant: Close
Proton and Sodium Magnetic Resonance Imaging of Skin
Open Date: 2021-09-30
Close Date: 2025-09-29
Grant: Close
Understanding the Consequences of Recreational Noise Exposure
Open Date: 2021-03-31
Close Date: 2026-03-30
Grant: Close
AIDED - Acute kIDnEy injury in coviD-19.
Open Date: 2020-11-01
Close Date: 2021-12-31
Grant: Open
Application of functional MRI to improve assessment of chronic kidney disease (AFiRM study)
Open Date: 2020-09-01
Close Date: 2027-02-28
Articles (11)
Year:
2023
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.
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2023
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2022
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2022
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2022
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2022
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2021
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2021
Collaborators (11)
Paul Greenhaff
Professor of Muscle Metabolism
University of Nottingham
Michael Tretyakov
Professor
University of Nottingham
denis schluppeck
University of Nottingham
Michael Pavlides
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Ulrich Lindberg
Copenhagen University Hospital
Naaventhan Palaniyappan
Clinical Associate Professor in Hepatology
University of Nottingham
Gordon Moran
University of Nottingham
Marco Iglesias
Assistant Professor in Scientific Computation
University of Nottingham
Sally Eldeghaidy
Assistant Professor
University of Nottingham
Indra Neil Guha
University of Nottingham
Boye Lagerbon Jensen
University of Southern Denmark
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