Key result
Virtual ablation of re-entrant drivers in computational models resulted in 21 emergent drivers in 9 of 12 models, with 71.4% localizing near pre-ablation sites seen under varied electrophysiology.
Why the study?
Does virtual ablation of re-entrant drivers in computational models of persistent AF predict emergent RD localization and macro-reentry?
Population
12 patient-specific atrial computational models reconstructed from pre-procedure late gadolinium-enhanced…
Comparison
Virtual ablation of re-entrant driver sites seen… vs Pre-ablation simulations
Design
Preclinical
Authors
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May promote emergent drivers near pre-ablation sites in models; hypothesis-generating for tailored ablation in persistent AF.
Does virtual ablation of re-entrant drivers in computational models of persistent AF predict emergent RD localization and macro-reentry?
Computational modeling of virtual ablation in persistent AF suggests that emergent re-entrant drivers and macro-reentrant circuits around lesions perpetuate post-ablation arrhythmias, highlighting the need for tailored ablation strategies.
Hakim et al. (2018) studied Persistent atrial fibrillation (n=12). Virtual ablation of re-entrant driver sites was evaluated on Arrhythmia dynamics after virtual ablation of RD sites. Virtual ablation of re-entrant drivers in computational models resulted in 21 emergent drivers in 9 of 12 models, with 71.4% localizing near pre-ablation sites seen under varied electrophysiology.
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