Volume 13 Supplement 1
Early detection of contractile dysfunction in GRMD dogs by post-processing of standard cine FLASH-MRI
© Gilles et al; licensee BioMed Central Ltd. 2011
Published: 2 February 2011
Duchenne muscular dystrophy (DMD) due to dystrophin deficiency leads to death by heart failure in nearly 30% of cases. An early detection of myocardial abnormalities in these patients would help in the optimization of their management. The GRMD is a canine model of DMD, that develops a severe cardiomyopathy.
Post-processing of standard cine-MR images of young GRMD dogs, before any sign of cardiac global dysfunction is patent. The aim of the study was to detect minor changes in synchronism or contraction patterns of the left ventricle of golden retriever muscular dystrophy (GRMD) dog as compared to control dogs.
6-month old GRMD (n=5) and control dogs (n=4) were imaged using a Siemens Magnetom Trio TIM with a standard cine-FLASH sequence in short axis. Acquisition parameters were as follows: TE:3.06ms, TR:19.74ms, flip angle:15°, slice thickness:6mm, in plane resolution:1.8x1.8mm2, NEX:3, GRAPPA:2. Each dog heart was covered by 8 slices. We used the Segment® software to define the endo- and epicardial contours and analyze radii and wall thicknesses in each slice with a 6 segment model. The radii and wall thickness curves were smoothed using a Savitzky-Golay filter. For each slice, a dyssynchrony index was calculated, as the SD of the normalized radii across the six segments throughout the cardiac cycle. Max dRadius/dt and max dWT/dt were also extracted for each segment of each slice.
Pre-clinical contractile abnormalities can be detected by post-hoc analysis of standard cine MR images in GRMD dogs. This preliminary results should encourage further work on early detection of myocardial minimal dysfunction in GRMD dogs but also in DMD and Becker muscular dystrophy patients.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.