Abstract #0779

The Application of FunctIonal Renal MRI to improve assessment of Chronic Kidney Disease (AFiRM) Study

Susan T Francis¹, Charlotte E Buchanan¹, Alexander J Daniel¹, David M Morris², Andrew Priest ³, Kevin Teh⁴, David Thomas^5,6,7, Mark Gilthorpe⁸, Philip Kalra⁹, Iosif Mendichovszky¹⁰, Maarten Taal¹¹, Steven Sourbron⁴, Nicholas Selby¹¹, and On behalf of the AFiRM investigators¹²

¹Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, ²Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom, ³Department of Radiology, University of Cambridge, Cambridge, United Kingdom, ⁴Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, ⁵Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁶Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁷Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁸Obesity Institute, Leeds Beckett University, Leeds, United Kingdom, ⁹Salford Royal NHS Foundation Trust, Salford, United Kingdom, ¹⁰Department of Radiology, Addenbrooke’s Hospital, Cambridge, United Kingdom, ¹¹Centre for Kidney Research and Innovation, University of Nottingham, Nottingham, United Kingdom, ¹²Lead study site: University of Nottingham, Nottingham, United Kingdom

Synopsis

Keywords: Kidney, Kidney

Motivation: The need for better biomarkers to assess progression of Chronic Kidney Disease (CKD).

Goal(s): To determine if multiparametric MRI can detect changes in structure and function in CKD.

Approach: In the Application of Functional Renal MRI (AFiRM) study, multiparametric MRI is to be collected on 400 CKD participants at baseline and Year 2. The MRI protocol comprises T₂- and T₁-weighted scans, B₀ and B₁ mapping, T_1,T₂ and T₂* relaxometry, DWI, MTR, PC-MRI and ASL perfusion.

Results: To date, 387 have been scanned, with preliminary MRI analyses on 300 datasets for B₀ and B₁, T₁, T₂*, MTR, and Total Kidney Volume (TKV).

Impact: Application of the UKRIN-MAPS multiparametric renal MRI protocol to study changes in renal structure and function in CKD progression. This will provide definitive evidence on the question of whether MRI is better at tracking disease progression than conventional biomarkers.

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