- Oral presentation
- Open Access
MRI relaxation parameters predict functional outcome after experimental myocardial infarction
© Haberkorn et al. 2016
- Published: 27 January 2016
- Cardiovascular Magnetic Resonance
- Leave Anterior Descend
- Fractional Shorten
- Experimental Myocardial Infarction
- Entire Left Ventricle
Characterization of infarcted myocardial tissue by current cardiovascular magnetic resonance (CMR) methods is predominantly carried out after i.v. application of Gadolinium (Gd)-based contrast agents (CA). However, recent advances in CMR enable the acquisition of parametric maps making use of endogenous tissue properties for diagnostic purposes, which may supersede the need for injection of CA. In the present study, we systematically compared myocardial tissue characterization by Gd-based techniques with intrinsic T1/T2 mapping and their correlation with local cardiac function after experimental myocardial infarction (MI).
Longitudinal analysis of mice after MI revealed substantial alterations in MR parameters: At day 1 after MI pre-contrast T1 and T2 increased up to 1461 ± 19.2 ms and 37 ± 0.5 ms, respectively, while post-contrast T1 dropped down to 173.9 ± 5.7 ms in infarcted myocardium (Fig. 1). Concomitantly, ECV increased to 48.6 ± 1.9%. To evaluate the prognostic power of the individual measures for functional outcome, data acquired at day 1 were correlated to local wall movement determined at day 21 (Fig. 2). Quantitative analysis of 160 sectors covering the entire LV revealed for all parameters significant agreement with the later outcome (pre-contrast T1 r = -0.851; T2 r = -0.700; post-contrast T1 r = 0.606; ECV r = -0.691; LGE r = -0.786, all p < 0.0001). Surprisingly, pre-contrast T1 maps on day 1 showed an even better correlation with the FS 21 days after MI than LGE (-0.851 vs. -0.786).
The present study shows that pre-contrast T1 mapping with variable flip angle analysis carried out 1 day after MI predicts the functional outcome after 21 days at least as reliable as LGE. Compared to the latter technique providing plain signal enhancement, the current approach determines quantitative maps with a large dynamic range, which may pave the way for reliable myocardial tissue characterization without any CA.
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/4.0), 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.