- Poster presentation
- Open Access
Interobserver reproducibility of fully quantitative pixel-wise analysis of clinical CMR perfusion imaging
https://doi.org/10.1186/1532-429X-16-S1-P350
© Conn et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
Keywords
- Cardiac Magnetic Resonance
- Myocardial Blood Flow
- Invasive Coronary Angiography
- Regadenoson
- Coronary Artery Disease Group
Background
Quantitative first pass cardiac magnetic resonance (CMR) perfusion imaging has shown excellent interobserver agreement at a sector level in healthy volunteers and patients. In this study, we compare the myocardial blood flow (MBF) estimates in sector-wise and pixel-wise analysis. We also study the interobserver variability in pixel-wise MBF estimates from patients with coronary artery disease (CAD).
Methods
First pass CMR imaging was performed on 29 patients with known or suspected CAD (15 females, age 54.9 ± 14.3 years). Twenty of the patients, defined as the normal group, had minimal or no stenosis ( < 30% by computed tomographic angiogram) and nine patients, defined as the CAD group, had significant CAD ( > 70% stenosis by invasive coronary angiography). All patients were scanned on a 1.5T scanner using a steady state free precession imaging sequence for regadenoson stress perfusion followed by rest perfusion 20 minutes later. Two observers independently traced the myocardial regions of interest in the mid-ventricular slice and quantified the MBF in sector-wise and pixel-wise analyses by a model-constrained deconvolution approach. Pixel-wise MBF estimates were averaged to six transmural sectors to compare with sector-wise analysis. Pearson correlation, Bland-Altman analysis, and paired student t-test were used to compare the results.
Results
Excellent correlation between pixel-wise vs. sector-wise MBF quantification.
Excellent agreement of pixel-wise MBF quantification between two independent observers.
Conclusions
Clinical first pass CMR perfusion can be quantified at the pixel level and the results agree well with sector-wise comparison. There is an excellent interobserver agreement in pixel-wise quantification of patients with CAD.
Funding
This research was supported by the Intramural Research Program of the National Heart, Lung, and Blood Institute, National Institutes of Health.
Authors’ Affiliations
Copyright
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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.