- Poster presentation
- Open Access
Prevalence of fat by cardiac magnetic resonance imaging stratified by age in 940 patients referred for evaluation of arrhythmogenic (rv) dysplasia
© Medina-Zuluga et al; licensee BioMed Central Ltd. 2011
- Published: 2 February 2011
- Right Ventricular
- Cardiac Magnetic Resonance
- Cardiac Magnetic Resonance Imaging
- Arrhythmogenic Right Ventricular Dysplasia
- High Diagnostic Yield
To determine the prevalence and severity of RV fatty infiltration, stratified by age, in patients referred to cardiac MRI (cMRI) for suspected Arrhythmogenic Right Ventricular Dysplasia (ARVD).
cMRI is frequently used to assess right ventricular (RV) morphology and function in patients with suspected ARVD and is the gold standard for fatty metaplasia amongst all non-invasive imaging tests. However, the incidence and severity of RV fatty infiltration by cMRI is not well defined. Here, stratified by age, we investigate the prevalence and severity of RV fat infiltration in a large population undergoing dedicated imaging for fat detection.
All consecutive patients referred for cMRI with suspected ARVD between 2003-2010 in our institution were included. RV fat was determined by cine-balanced SSFP, gradient-echo, and spin-echo sequences with and without fat suppression. RV fat severity was graded as mild, moderate or severe depending on the extension of its distribution. Age was stratified in tertiles (T3 oldest, T2 middle and T1 youngest) and fatty infiltration severity in each of these age sub-groups was analyzed.
The prevalence of RV fat during cMRI in patients referred for suspected ARVD is high and older patients tend to the highest prevalence of fat and higher proportions of severe and moderate fat distribution. Our findings suggest that the presence RV fat above the age of 60 may represent a common finding related with aging whereas the same finding in the first two decades of life is uncommon and may have a higher diagnostic yield for ARVD.
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.