Key result
Transmural scar assessment using 3D-upsampled models from 2D LGE-CMR images revealed that patients with ventricular tachycardia recurrences had lower scar areas compared to those without recurrences.
Why the study?
LGE-CMR requires novel and time-efficient approaches to characterize the myocardial substrate associated with ventricular arrhythmia in patients with ischemic cardiomyopathy.
Does 3D-upsampled transmural scar assessment from 2D LGE-CMR images improve the characterization of myocardial substrate associated with VT features and recurrences compared to conventional 2D assessment in ischemic cardiomyopathy?
Cohort (n=14)
Yes
Does 3D-upsampled transmural scar assessment from 2D LGE-CMR images improve the characterization of myocardial substrate associated with VT features and recurrences compared to conventional 2D assessment in ischemic cardiomyopathy?
A novel 3D-upsampled methodology from standard 2D LGE-CMR images provides a time-efficient and superior alternative to conventional 2D assessment for characterizing arrhythmogenic scar substrate and predicting VT recurrences in ischemic cardiomyopathy.
Answers are grounded in this paper and cite their sources.
Questions scar burden as VT recurrence predictor; leaves open validation of 3D-upsampled LGE-CMR models.
Delayed gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) imaging requires novel and time-efficient approaches to characterize the myocardial substrate associated with ventricular arrhythmia in patients with ischemic cardiomyopathy. Using a translational approach in pigs and patients with established myocardial infarction, we tested and validated a novel 3D methodology to assess ventricular scar using custom transmural criteria and a semiautomatic approach to obtain transmural scar maps in ventricular models reconstructed from both 3D-acquired and 3D-upsampled-2D-acquired LGE-CMR images. The results showed that 3D-upsampled models from 2D LGE-CMR images provided a time-efficient alternative to 3D-acquired sequences to assess the myocardial substrate associated with ischemic cardiomyopathy. Scar assessment from 2D-LGE-CMR sequences using 3D-upsampled models was superior to conventional 2D assessment to identify scar sizes associated with the cycle length of spontaneous ventricular tachycardia episodes and long-term ventricular tachycardia recurrences after catheter ablation. This novel methodology may represent an efficient approach in clinical practice after manual or automatic segmentation of myocardial borders in a small number of conventional 2D LGE-CMR slices and automatic scar detection.
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Merino‐Caviedes et al. (2021) conducted a cohort in Ischemic cardiomyopathy with spontaneous ventricular tachycardia (n=14). 3D-upsampled models from 2D LGE-CMR images vs. Conventional 2D LGE-CMR assessment was evaluated on Scar area on 3D-upsampled models (transmurality < 0.2) in patients with vs without VT recurrences (p=0.04). Transmural scar assessment using 3D-upsampled models from 2D LGE-CMR images revealed that patients with ventricular tachycardia recurrences had lower scar areas compared to those without recurrences.
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