- Poster presentation
- Open Access
Quantification of coronary enhancement - reproducibility of methods and feasibility of quantification in health and disease
© Varma et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Mean Difference
- Steady State Free Precession
- Balance Steady State Free Precession
- Steady State Free Precession Sequence
- Balance Steady State
Coronary enhancement (CE) imaging by magnetic resonance (MR) is a novel, non-invasive approach for visualization of contrast uptake within the coronary artery vessel wall. Quantification of CE may help to individualize sub-populations at risk for the benefit of early risk assessment and intervention. Here we sought to compare the reproducibility of several quantification methods and to investigate the feasibility to detect differences in healthy subjects and disease.
Analysis could be performed in 100 and 93% of thirty subjects for M1-2 and M3, respectively. M1 and M3 both showed reasonable overall intraobserver agreement (M1: r=0.91; P<0.01, mean difference (MD)±SD=-0.04±1.1; M3: r=0.89, P<0.01, MD±SD=-0.2±0.4). Between observers, M1 and M3 showed good reproducibility (M1: r=0.88, P<0.01; M3: MD±SD=0.5±2.8 r=0.75, MD±SD=2.1±1.4, P<0.01). Method M2 showed inferior intra and inter-observer agreement. Using M1 and M3, there was a significant difference between healthy subjects (n=7), CAD (n=10) and SLE (n=13) patients, respectively (M1, CNR (mean±SD) 1.9±0.8 vs. 5.4±1.9 vs. 6.4±1.3, one-way ANOVA: P<0.01; M3, mm2: 1.03±0.9 vs. 3.8±2.2 vs. 3.2±1.4, P=0.002. Using M2, no distinction between healthy subjects and patients could be made (p=0.2).
Quantification of visualized CE in proximal coronary segments using CNR and total area is feasible and reproducible. Both methods are able to discern significant differences between health and disease.
NIHR Biomedical Research Centre award (Atherosclerosis theme).
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.