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

ABSTRACT:

Introduction

We recently developed two noninvasive methodologies to help guide VT ablation: population-derived automated VT exit localization (PAVEL) and virtual-heart arrhythmia ablation targeting (VAAT). We hypothesized that while very different in their nature, limitations, and type of ablation targets (substrate-based vs. clinical VT), the image-based VAAT and the ECG-based PAVEL technologies would be spatially concordant in their predictions.

Objective

The objective is to test this hypothesis in ischemic cardiomyopathy patients in a retrospective feasibility study.

Methods

Four post-infarct patients who underwent LV VT ablation and had pre-procedural LGE-CMRs were enrolled. Virtual hearts with patient-specific scar and border zone identified potential VTs and abl

SUBMITTER: Zhou S 

PROVIDER: S-EPMC8209410 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature