Automatic identification of ablation targets in persistent atrial fibrillation: Initial experience with a new mapping tool

The algorithmic detection of EGMs consistent with localized reentry during sequential mapping of persAF provided reproducible targets for ablation. This allowed personalized PVI and limited, highly-selective, extra-PV ablation. Results of this initial experience included progressive organization of AF with ablation and a low recurrence rate after a single procedure.

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Publication Details

Journal
Journal of Cardiovascular Electrophysiology
Published
2024-08-19
DOI
https://doi.org/10.1111/jce.16397
Citations
4
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
1.61
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Automatic identification of ablation targets in persistent atrial fibrillation: Initial experience with a new mapping tool

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Automatic identification of ablation targets in persistent atrial fibrillation: Initial experience with a new mapping tool

Nazih Benhenda, Marianna Meo, Chloe Lerebours, Bogdan Enache, Silvia Canepa, Decebal Gabriel Lațcu, Nadir Saoudi, Amanda Kingston, Sofia Milanese
article en
4 citations

Abstract

The algorithmic detection of EGMs consistent with localized reentry during sequential mapping of persAF provided reproducible targets for ablation. This allowed personalized PVI and limited, highly-selective, extra-PV ablation. Results of this initial experience included progressive organization of AF with ablation and a low recurrence rate after a single procedure.

Journal of Cardiovascular ElectrophysiologyVol. 35(10)
Princess Grace Hospital Centre (MC), Boston Scientific (United States) (US), Cambridge Scientific (United States) (US)
Openalex Percentile: Top 15%
Atrial Fibrillation Management and Outcomes
1.61
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