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Abstract #4635

Multiparametric MRI based assessment of kidney injury in a mouse model of ischemia reperfusion injury

Sourav Bhaduri*1,2, Soham Mukherjee*3, Rachel Harwood4, Patricia Murray5, Bettina Wilm6, Rachel Bearon7, and Harish Poptani3
1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India, 2Institute for Advancing Intelligence, TCG Crest, Kolkata, India, 3Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom, 4University of Liverpool, Liverpool, United Kingdom, 5Department of Women’s and Children’s health, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, University of Liverpool, Liverpool, United Kingdom, 6Department of Women’s and Children’s health, University of Liverpool, Liverpool, United Kingdom, 7Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom

Synopsis

Keywords: Kidney, Kidney, Multiparametric MRI, IRI

Motivation: Assessment of kidney health is paramount for early diagnosis of impairment and subsequent methods of intervention.

Goal(s): This study enhances our understanding of kidney pathophysiology using multiparametric MRI analysis

Approach: Parsimonious pharmacokinetic modelling of the DCE-MRI data along with ASL and DWI was used to assess longitudinal changes in glomerular filtration rate (GFR) and kidney function in a mouse model of ischemia reperfusion injury.

Results: Findings suggest that Renal Blood Flow (RBF), parsimonious filtration quotient (Ft), GFR, kidney volume, and Apparent Diffusion Coefficient (ADC) are important in comprehending the renal effects induced by ischemia reperfusion injury.

Impact: This study provides an improved understanding of renal pathophysiology and underscores the value of multi-parametric MR imaging for assessing early changes in kidney function due to IRI, which may aid in early diagnosis of kidney injury and monitoring treatment response.

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Keywords