Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation

Caroline Roney (1) , Steven Williams (1) , Hubert Cochet (2) , Rahul Mukherjee (1) , Louisa O'Neill (1) , Iain Sim (1) , John F. Whitaker (1) , Orod Razeghi (1) , George Klein (3) , Edward Vigmond (4) , Mark O'Neill (1) , Steven Niederer (1)

1 King‘s College London
2 IHU-LIRYC
3 Western University of Health Sciences
4 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque

Treatments for persistent atrial fibrillation (AF) offer limited efficacy. One potential strategy aims to return the right atrium (RA) to sinus rhythm (SR) by ablating interatrial connections (IAC) to isolate the atria, but there is limited clinical data to evaluate this ablation approach. We aimed to use simulation to evaluate and predict patient-specific suitability for ablation of IAC to treat AF.

Domaines: Ingénierie biomédicale; Cardiologie et système cardiovasculaire

Caroline Roney, Steven Williams, Hubert Cochet, Rahul Mukherjee, Louisa O'Neill, et al.. Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation. EP-Europace, 2018, 20 (suppl_3), pp.iii55-iii68. ⟨10.1093/europace/euy232⟩. ⟨hal-02885628⟩