Pulmonary Vein Isolation Lesion Set Assessment During Radiofrequency Catheter Ablation for Atrial Fibrillation

Copyright: © 2017 Innovations in Cardiac Rhythm Management..

This article reviews methods for lesion set assessment during radiofrequency catheter ablation for atrial fibrillation (AF). Pulmonary vein isolation (PVI) is the foundation for AF ablation, but PV reconnection can lead to treatment failure. Testing for entrance block can help confirm PVI, although complex electrograms that consist of both near- and far-field potentials may make assessment of entrance block challenging. Differential pacing maneuvers can help appropriately identify PV potentials. After entrance block has been achieved, pacing within the PVs to demonstrate capture of PV musculature with exit block may also help to confirm completeness of lesion sets for PVI. Employing a waiting period of at least 30 min or administering adenosine or isoproterenol can reveal dormant conduction, warranting adjunctive ablation. Additional techniques to confirm durable PVI include testing the ablation lines for excitability with high amplitude pacing, and automated waveform analysis of local electrogram morphology. Newer techniques like real-time magnetic resonance imaging and acoustic radiation force impulse elastography may have a role in testing the completeness of lesion sets in the future.

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

The Journal of innovations in cardiac rhythm management - 8(2017), 2 vom: 05. Feb., Seite 2602-2611

Sprache:

Englisch

Beteiligte Personen:

Sze, Edward [VerfasserIn]
Bahnson, Tristram D [VerfasserIn]

Links:

Volltext

Themen:

Atrial fibrillation
Catheter ablation
Journal Article
Lesion set assessment
Pulmonary vein isolation
Review

Anmerkungen:

Date Revised 28.09.2020

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.19102/icrm.2017.080204

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310581974