Abstract
Background ICD implantation is known to improve prognosis in patients with ischemic cardiomyopathy (ICM). Determining which patients are at high risk of ventricular arrhythmias and sudden death remains difficult. The presence and extent of grey zone detected by CMR has been linked to ventricular arrhythmias and may be useful in determining which patients should have an ICD. Several processing methods to define the area of grey zone based on traditional late enhancement sequences (LGE) have been developed. Recently, a novel delayed enhancement sequence (MCDE) combined with an automated segmentation method was introduced to more accurately assess the peri-infarct area. 1,2 One limitation of this technique is the presence of cardiac motion in the image making the analysis cumbersome as the images from the same point in the cardiac cycle need to be filtered out of the dataset during postprocessing. An alternative option for the quantitative T1 measurement of the grey zone is the modified look-locker (MOLLI), which is not affected by cardiac motion. In the current study, the MCDE and MOLLI sequences were compared for the evaluation of the grey zone.
Highlights
ICD implantation is known to improve prognosis in patients with ischemic cardiomyopathy (ICM)
A novel delayed enhancement sequence (MCDE) combined with an automated segmentation method was introduced to more accurately assess the peri-infarct area. 1,2 One limitation of this technique is the presence of cardiac motion in the image making the analysis cumbersome as the images from the same point in the cardiac cycle need to be filtered out of the dataset during postprocessing
Analysis was performed using T1-mapping software (Philips, Hamburg, Germany). Both the MCDE and the MOLLI resulted in the images similar to traditional LGE with the MOLLI more closely correlated due to cardiac motion correction (Figure 1)
Summary
ICD implantation is known to improve prognosis in patients with ischemic cardiomyopathy (ICM). Several processing methods to define the area of grey zone based on traditional late enhancement sequences (LGE) have been developed. A novel delayed enhancement sequence (MCDE) combined with an automated segmentation method was introduced to more accurately assess the peri-infarct area.
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