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Temporal and spatial characteristics of the area at risk investigated using computed tomography and T1-weighted magnetic resonance imaging

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Journal of Cardiovascular Magnetic Resonance201517 (Suppl 1) :P154

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  • Cardiovascular Magnetic Resonance
  • Perfusion Imaging
  • Left Ventricular Mass
  • Compute Tomography Perfusion
  • Lateral Portion


Cardiovascular magnetic resonance (CMR) imaging can measure the myocardial area at risk (AAR), but the technique has received criticism for inadequate validation. CMR commonly depicts an AAR that is wider than the infarct, which in turn would require a lateral perfusion gradient within the AAR. We investigated the presence of a lateral perfusion gradient within the AAR and validated CMR measures of AAR against 3 independent reference standards of high quality.


Computed tomography (CT) perfusion imaging, microsphere blood flow analysis, T1-weighted 3T CMR, and fluorescent microparticle pathology were used to investigate the AAR in a canine model (n=10) of ischemia and reperfusion.


AAR size by CMR correlated well with CT (R2=0.80), microsphere blood flow (R2=0.80), and pathology (R2=0.74) with good limits of agreement (-0.79±4.02 % of the left ventricular mass (LVM) versus CT; -1.49±4.04 %LVM versus blood flow and -1.01±4.18 %LVM versus pathology). The lateral portion of the AAR had higher perfusion than the core of the AAR by CT perfusion imaging (40.7±11.8 vs 25.2±17.7 Hounsfield units, p=0.0008) and microsphere blood flow (0.11±0.04 vs 0.05±0.02 ml/g/min, lateral vs core, p=0.001). The transmural extent of MI was lower in the lateral portion of the AAR than the core (28.2±10.2 vs 17.4±8.4 % of the wall, p = 0.001).


T1-weighted CMR accurately quantifies size of the AAR with excellent agreement compared to 3 independent reference standards. A lateral perfusion gradient results in lower transmural extent of infarction at the edges of the AAR compared with the core.


The project described was funded by the Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health.
Figure 1
Figure 1

Representative examples of area at risk imaging modalities.

Authors’ Affiliations

National Institutes of Health, Bethesda, MD, USA


© van et al; licensee BioMed Central Ltd. 2015

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 (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.