Literature DB >> 15909652

Evaluation of ablation patterns using a biophysical model of atrial fibrillation.

L Dang1, N Virag, Z Ihara, V Jacquemet, J M Vesin, J Schlaepfer, P Ruchat, L Kappenberger.   

Abstract

Atrial fibrillation (AF) is the most common form of cardiac arrhythmia. Surgical/Radiofrequency (RF) ablation is a therapeutic procedure that consists of creating lines of conduction block to interrupt AF. The present study evaluated 13 different ablation patterns by means of a biophysical model of the human atria. In this model, ablation lines were abruptly applied transmurally during simulated sustained AF, and success rate, time to AF termination and average beat-to-beat interval were documented. The gold standard Cox's Maze III procedure was taken as reference. The effectiveness of twelve less invasive patterns was compared to it. In some of these incomplete lines (entailing a gap) were simulated. Finally, the computer simulations were compared to clinical data. The results show that the model reproduces observations made in vivo: (1) the Maze III is the most efficient ablation procedure; (2) less invasive patterns should include lines in both right and left atrium; (3) incomplete ablation lines between the pulmonary veins and the mitral valve annulus lead to uncommon flutter; (4) computer simulations of incomplete lines are consistent with clinical results of non-transumural RF ablation. Biophysical modeling may therefore be considered as a useful tool for understanding the mechanisms underlying AF therapies.

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Year:  2005        PMID: 15909652     DOI: 10.1007/s10439-005-2502-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  18 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

Review 2.  Lessons from computer simulations of ablation of atrial fibrillation.

Authors:  Vincent Jacquemet
Journal:  J Physiol       Date:  2016-03-04       Impact factor: 5.182

Review 3.  Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2014-04-25       Impact factor: 17.367

4.  A two layers monodomain model of cardiac electrophysiology of the atria.

Authors:  Yves Coudière; Jacques Henry; Simon Labarthe
Journal:  J Math Biol       Date:  2015-03-15       Impact factor: 2.259

5.  George Ralph Mines (1886-1914): the dawn of cardiac nonlinear dynamics.

Authors:  Michael R Guevara; Alvin Shrier; John Orlowski; Leon Glass
Journal:  J Physiol       Date:  2016-05-01       Impact factor: 5.182

6.  Mechanisms for the Termination of Atrial Fibrillation by Localized Ablation: Computational and Clinical Studies.

Authors:  Wouter-Jan Rappel; Junaid A B Zaman; Sanjiv M Narayan
Journal:  Circ Arrhythm Electrophysiol       Date:  2015-09-10

Review 7.  How computer simulations of the human heart can improve anti-arrhythmia therapy.

Authors:  Natalia A Trayanova; Kelly C Chang
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

Review 8.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

9.  Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.

Authors:  Natalia A Trayanova; Patrick M Boyle; Plamen P Nikolov
Journal:  Curr Opin Biomed Eng       Date:  2018-03

Review 10.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

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