## Abstract A first‐pass upslope approach was used to estimate differential renal blood flow (DRBF) and a Patlak‐Rutland approach was used to estimate differential renal function (DRF) using Gd‐DTPA‐BMA‐enhanced MRI. DRBF and DRF were estimated in rat kidneys under three different experimental cond
Evaluation of dynamic contrast-enhanced MRI in detecting renal scarring in a rat injury model
✍ Scribed by Bingyin Wang; Graham Sommer; Daniel Spielman; Linda M. Dairiki Shortliffe
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 531 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Purpose:
To create a reliable rat model with small renal cortical scars and evaluate the accuracy and sensitivity of dynamic contrast‐enhanced MRI in detecting the kinds of lesions that are associated with reflux nephropathy.
Materials and Methods:
In 16 rats, three unilateral renal cortical lesions were created using either electrocautery or pure alcohol with the contralateral kidney serving as control. MRI on a 1.5 Tesla GE Signa was performed 10–14 days after surgery. After bolus injection of 0.2 mM/Kg Gd‐DTPA, sequential MRI acquisitions were performed using a 4‐inch quadrature birdcage coil. Renal and scar volumes and pathology were compared after scanning and killing.
Results:
Of the 48 points of injury, 40 (83%) in the 16 rats were detected grossly. Under microscopy, 36 injuries (75%) were detected on mid‐kidney cross‐sections. The average lesion was 4.2 mm^3^ corresponding to 0.5% of the kidney volume. Using pathological findings as the gold standard, the sensitivity and specificity of scar detection using MRI was 69% and 93%, respectively.
Conclusion:
A rat model was created to demonstrate the sensitivity of dynamic contrast‐enhanced MRI for detecting renal scars. Alcohol and electrocautery created reliable renal scars that were confirmed pathologically. MRI detected these lesions that averaged 4.2 mm^3^ (0.5% total renal volume) with sensitivity and specificity of 69% and 93%, respectively. J. Magn. Reson. Imaging 2010;31:1132–1136. © 2010 Wiley‐Liss, Inc.
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