Susan T. Francis

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University of Nottingham
Country flagUnited Kingdom

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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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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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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

UNITED KINGDOM
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Michael Tretyakov

Professor

University of Nottingham

UNITED KINGDOM
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denis schluppeck

University of Nottingham

UNITED KINGDOM
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Michael Pavlides

-

UNITED KINGDOM
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Ulrich Lindberg

Copenhagen University Hospital

DENMARK
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Naaventhan Palaniyappan

Clinical Associate Professor in Hepatology

University of Nottingham

UNITED KINGDOM
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Gordon Moran

University of Nottingham

UNITED KINGDOM
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Marco Iglesias

Assistant Professor in Scientific Computation

University of Nottingham

UNITED KINGDOM
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Sally Eldeghaidy

Assistant Professor

University of Nottingham

UNITED KINGDOM
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Indra Neil Guha

University of Nottingham

UNITED KINGDOM
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Boye Lagerbon Jensen

University of Southern Denmark

DENMARK
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