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Feasibility study shows concordance between image-based virtual-heart ablation targets and predicted ECG-based arrhythmia exit-sites.

Shijie ZhouEric SungAdityo PrakosaKonstantinos N AronisJonathan ChrispinHarikrishna TandriAmir AbdelWahabB Milan HoráčekJohn L SappNatalia A Trayanova
Published in: Pacing and clinical electrophysiology : PACE (2021)
VAAT targets are concordant with the patient-specific PAVEL-predicted VT exit sites. These findings support investigation into combining these two complementary technologies as a noninvasive, clinical tool for targeting clinically induced VTs and regions likely to harbor potential VTs.
Keyphrases
  • high glucose
  • diabetic rats
  • heart failure
  • deep learning
  • heart rate variability
  • cancer therapy
  • heart rate
  • atrial fibrillation
  • radiofrequency ablation
  • endothelial cells
  • blood pressure
  • machine learning