Functional imaging of acute kidney injury at 3 Tesla: investigating multiple parameters using DCE-MRI and a

Frank G Zöllner1, Fabian Zimmer1, Sarah Klotz2

  • 1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Abstract

Insights

Glomerular filtration rate (GFR) effectively detects kidney damage in acute kidney injury (AKI) models. Dynamic contrast-enhanced MRI and a filtration model show GFR as a key indicator of renal functional changes in AKI.

Area of Science:

  • Nephrology
  • Radiology
  • Medical Imaging

Background:

  • Acute kidney injury (AKI) is a critical condition affecting kidney function.
  • Assessing renal functional changes in AKI is crucial for timely diagnosis and treatment.
  • Dynamic contrast-enhanced MRI (DCE-MRI) offers a non-invasive method to evaluate kidney perfusion.

Purpose of the Study:

  • To evaluate the utility of MR-based parameters in reflecting functional changes in kidneys with AKI.
  • To compare DCE-MRI derived parameters with a two-compartment renal filtration model in an AKI model.
  • To identify which MR-based parameters are most sensitive to AKI-induced renal dysfunction.

Main Methods:

  • Retrospective analysis of DCE-MRI data from eight male Lewis rats (five AKI, three control).
  • Perfusion imaging using DCE-MRI to assess renal parameters.
  • Calculation of renal blood volume, glomerular filtration rate (GFR), and mean transit times from renal cortex ROIs.
  • Statistical analysis using paired t-test to compare healthy and AKI kidneys.

Main Results:

  • Glomerular filtration rate (GFR) was the only parameter showing significant differences between healthy and AKI kidneys (P = 0.0254).
  • Diseased kidneys in AKI rats exhibited significantly lower GFR compared to contralateral healthy kidneys and kidneys in the control group.
  • While other parameters like renal blood volume and transit times showed differences, they were not statistically significant.

Conclusions:

  • Glomerular filtration rate (GFR) is a sensitive MR-based parameter for detecting functional damage in AKI.
  • Spatially resolved GFR measurements using MRI can aid in identifying AKI-related renal tissue abnormalities.
  • DCE-MRI combined with filtration modeling shows promise for non-invasive AKI assessment.

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