Infarct myocardium tissue heterogeneity assessment using pre-contrast and post-contrast T1 maps acquired with Modified Look-Locker Inversion Recovery (MOLLI) imaging

Abstract

Summary: T1 relaxation-time mapping allows direct myocardial signal quantification and therefore enables true quantitative characterisation of myocardial tissue heterogeneity. Differences between healthy (Figure presented) myocardium and scarred tissues can be reliably distinguished from the R1 values derived from pre-contrast T1 maps. In patients with scarred tissues, ΔR1 value derived from both the pre- and the post-contrast T1 maps provides better distinction between grey zone and scar core than either pre-contrast or post-contrast R1 value alone. Background: Cardiac magnetic resonance imaging with late gadolinium enhancement (LGE-CMR) has been the standard tool for assessing regional fibrosis. Tissue heterogeneity quantification by traditional signalintensity (SI-) based methods is not without limitations. T1 relaxation-time mapping allows direct myocardial signal quantification and therefore enables true quantitative characterisation of myocardial tissue heterogeneity. We aim to explore tissue heterogeneity assessment using T1 maps generated with the modified Look Locker (MOLLI) sequence in patients with previous myocardial infarct. Methods: Seven patients with ischaemic infarct history underwent left ventricular scar assessment with standard inversion-recovery gradient-echo sequence 10 minutes post-contrast (gadolinium-DTPA, 0.2mmol/kg) in short axis (voxel size 1.8x1.8x8mm) on a 1.5T scanner (Philips Healthcare, Best, Netherlands). Three separate slices of MOLLI images were taken preand 20 minutes post-contrast in the same geometry. SI-based tissue heterogeneity assessment on the LGE-CMR images identified the regions of remote healthy myocardium (n=21), scar core (n=21) and grey zone (n=21); 2-standard-deviation SI from the Remote <0.05. At 20 minutes post-contrast, the T1 values were significantly reduced in all regions with the greatest reduction seen in scar core; p<0.05. The R1 and the ΔR1 (defined as (PostContrastR1-PreContrastR1)/PreContrastR1) for each region are plotted in Figure 1. ROC curve analysis showed that the native pre-contrast R1 provided the best prediction for healthy myocardium whereas the ΔR1 provided better prediction for scar core and grey zone than either the pre-contrast or the post-contrast R1 value alone (Figure 2). A cut-off of pre-contrast R1 of 0.996 provided the best distinction for the healthy myocardium; a ΔR1 of 2.47 provided the best distinction between the scar core and the grey zone. Conclusions: T1 maps acquired from MOLLI sequence allow quantitative assessment of tissue heterogeneity. Differences between healthy myocardium and scarred tissues can be reliably distinguished from the R1 values derived from pre-contrast T1 maps. Potentially, patients without scarred myocardium do not need post-contrast imaging. In patients with scarred tissues, ΔR1 value derived from both the pre- and the postcontrast T1 maps provides better distinction between grey zone and scar core than either pre-contrast or post-contrast R1 value alone.