Scientific Reports (Sep 2021)

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

  • Susana Merino-Caviedes,
  • Lilian K. Gutierrez,
  • José Manuel Alfonso-Almazán,
  • Santiago Sanz-Estébanez,
  • Lucilio Cordero-Grande,
  • Jorge G. Quintanilla,
  • Javier Sánchez-González,
  • Manuel Marina-Breysse,
  • Carlos Galán-Arriola,
  • Daniel Enríquez-Vázquez,
  • Carlos Torres,
  • Gonzalo Pizarro,
  • Borja Ibáñez,
  • Rafael Peinado,
  • Jose Luis Merino,
  • Julián Pérez-Villacastín,
  • José Jalife,
  • Mariña López-Yunta,
  • Mariano Vázquez,
  • Jazmín Aguado-Sierra,
  • Juan José González-Ferrer,
  • Nicasio Pérez-Castellano,
  • Marcos Martín-Fernández,
  • Carlos Alberola-López,
  • David Filgueiras-Rama

DOI
https://doi.org/10.1038/s41598-021-97399-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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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.