Key result
Potential-based ECGI accurately maps abnormal repolarization despite inaccuracies in epicardial breakthroughs and conduction block.
Why the study?
With increasing clinical use of Electrocardiographic Imaging (ECGI), understanding the limits of this technique for activation and repolarization mapping in sinus rhythm was imperative.
Does potential-based ECGI accurately reconstruct activation and repolarization maps compared to direct epicardial recordings in a pig heart model?
Does potential-based ECGI accurately reconstruct activation and repolarization maps compared to direct epicardial recordings in a pig heart model?
Potential-based ECGI can accurately identify regions of abnormal repolarization and activation patterns in sinus rhythm, despite some inaccuracies in epicardial breakthroughs and artificial lines of block.
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Supports ECGI repolarization mapping in preclinical models; leaves open translation to human use.
Bear et al. (2019) studied Sinus rhythm, left bundle branch block, and repolarization abnormalities (n=8). Potential-based Electrocardiographic Imaging (ECGI) vs. Directly recorded electrograms was evaluated on Activation and repolarization mapping accuracy. Potential-based ECGI accurately identified regions of abnormal repolarization in terms of size, location, and timing, despite inaccuracies in epicardial breakthroughs and lines of conduction block.
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