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

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 analysisApproach: 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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4635
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Soham Mukherjee, Harish Poptani, Patricia Murray, Rachel Harwood et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

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

Soham Mukherjee, Harish Poptani, Patricia Murray, Rachel Harwood, Bettina Wilm, Sourav Bhaduri, Rachel N. Bearon
article en

Abstract

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 analysisApproach: 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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 65%
Advanced MRI Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.