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Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy

Citation

Merino-Caviedes S, Gutierrez LK, Alfonso-Almazán JM, Sanz-Estébanez S, Cordero-Grande L, Quintanilla JG, Sánchez-González J, Marina-Breysse M, Galán-Arriola C, Enríquez-Vázquez D, Torres C, Pizarro G, Ibáñez B, Peinado R, Merino JL, Pérez-Villacastín J, Jalife J, López-Yunta M, Vázquez M, Aguado-Sierra J, González-Ferrer JJ, Pérez-Castellano N, Martín-Fernández M, Alberola-López C, Filgueiras-Rama D. Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy. Sci Rep. 2021 Sep 28;11(1):18722. doi: 10.1038/s41598-021-97399-w. PMID: 34580343; PMCID: PMC8476552.

Abstract

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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