Literature DB >> 26846178

Lessons from computer simulations of ablation of atrial fibrillation.

Vincent Jacquemet1,2.   

Abstract

This paper reviews the simulations of catheter ablation in computer models of the atria, from the first attempts to the most recent anatomical models. It describes how postulated substrates of atrial fibrillation can be incorporated into mathematical models, how modelling studies can be designed to test ablation strategies, what their current trade-offs and limitations are, and what clinically relevant lessons can be learnt from these simulations. Drawing a parallel between clinical and modelling studies, six ablation targets are considered: pulmonary vein isolation, linear ablation, ectopic foci, complex fractionated atrial electrogram, rotors and ganglionated plexi. The examples presented for each ablation target illustrate a major advantage of computer models, the ability to identify why a therapy is successful or not in a given atrial fibrillation substrate. The integration of pathophysiological data to create detailed models of arrhythmogenic substrates is expected to solidify the understanding of ablation mechanisms and to provide theoretical arguments supporting substrate-specific ablation strategies.
© 2016 The Authors. The Journal of Physiology © 2016 The Physiological Society.

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Year:  2016        PMID: 26846178      PMCID: PMC4850195          DOI: 10.1113/JP271660

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  97 in total

1.  Personalization of atrial anatomy and electrophysiology as a basis for clinical modeling of radio-frequency ablation of atrial fibrillation.

Authors:  Martin W Krueger; Gunnar Seemann; Kawal Rhode; D U J Keller; Christopher Schilling; Aruna Arujuna; Jaswinder Gill; Mark D O'Neill; Reza Razavi; Olaf Dössel
Journal:  IEEE Trans Med Imaging       Date:  2012-05-30       Impact factor: 10.048

2.  Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Authors:  Matthew J Gonzales; Kevin P Vincent; Wouter-Jan Rappel; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

3.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

Review 4.  Principles of cardiac electric propagation and their implications for re-entrant arrhythmias.

Authors:  Peter Spector
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-06

5.  Stability of rotors and focal sources for human atrial fibrillation: focal impulse and rotor mapping (FIRM) of AF sources and fibrillatory conduction.

Authors:  Vijay Swarup; Tina Baykaner; Armand Rostamian; James P Daubert; John Hummel; David E Krummen; Rishi Trikha; John M Miller; Gery F Tomassoni; Sanjiv M Narayan
Journal:  J Cardiovasc Electrophysiol       Date:  2014-11-11

6.  Human atrial action potential and Ca2+ model: sinus rhythm and chronic atrial fibrillation.

Authors:  Eleonora Grandi; Sandeep V Pandit; Niels Voigt; Antony J Workman; Dobromir Dobrev; José Jalife; Donald M Bers
Journal:  Circ Res       Date:  2011-09-15       Impact factor: 17.367

7.  Role of arrhythmogenic superior vena cava on atrial fibrillation.

Authors:  Shinsuke Miyazaki; Masateru Takigawa; Shigeki Kusa; Taishi Kuwahara; Hiroshi Taniguchi; Kenji Okubo; Hiroaki Nakamura; Hitoshi Hachiya; Kenzo Hirao; Atsushi Takahashi; Yoshito Iesaka
Journal:  J Cardiovasc Electrophysiol       Date:  2014-01-06

8.  Morphology of inter-atrial conduction routes in patients with atrial fibrillation.

Authors:  P G Platonov; L B Mitrofanova; L V Chireikin; S B Olsson
Journal:  Europace       Date:  2002-04       Impact factor: 5.214

9.  Preventive ablation strategies in a biophysical model of atrial fibrillation based on realistic anatomical data.

Authors:  Matthias Reumann; Julia Bohnert; Gunnar Seemann; Brigitte Osswald; Olaf Dössel
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

Review 10.  Optimization of catheter ablation of atrial fibrillation: insights gained from clinically-derived computer models.

Authors:  Jichao Zhao; Sanjay R Kharche; Brian J Hansen; Thomas A Csepe; Yufeng Wang; Martin K Stiles; Vadim V Fedorov
Journal:  Int J Mol Sci       Date:  2015-05-13       Impact factor: 5.923

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  11 in total

Review 1.  Computational modeling: What does it tell us about atrial fibrillation therapy?

Authors:  Eleonora Grandi; Dobromir Dobrev; Jordi Heijman
Journal:  Int J Cardiol       Date:  2019-01-25       Impact factor: 4.164

2.  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

Review 3.  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

Review 4.  Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.

Authors:  Trine Krogh-Madsen; Eric A Sobie; David J Christini
Journal:  J Physiol       Date:  2016-02-04       Impact factor: 5.182

5.  Commentary: Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study.

Authors:  Axel Loewe; Olaf Dössel
Journal:  Front Physiol       Date:  2017-12-22       Impact factor: 4.566

6.  Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.

Authors:  Yen Ting Lin; Eugene T Y Chang; Julie Eatock; Tobias Galla; Richard H Clayton
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

7.  Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics.

Authors:  Caroline H Roney; Jason D Bayer; Hubert Cochet; Marianna Meo; Rémi Dubois; Pierre Jaïs; Edward J Vigmond
Journal:  PLoS Comput Biol       Date:  2018-05-24       Impact factor: 4.475

8.  Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study.

Authors:  Jaemin Shim; Minki Hwang; Jun-Seop Song; Byounghyun Lim; Tae-Hoon Kim; Boyoung Joung; Sung-Hwan Kim; Yong-Seog Oh; Gi-Byung Nam; Young Keun On; Seil Oh; Young-Hoon Kim; Hui-Nam Pak
Journal:  Front Physiol       Date:  2017-10-11       Impact factor: 4.566

9.  Three-dimensional Integrated Functional, Structural, and Computational Mapping to Define the Structural "Fingerprints" of Heart-Specific Atrial Fibrillation Drivers in Human Heart Ex Vivo.

Authors:  Jichao Zhao; Brian J Hansen; Yufeng Wang; Thomas A Csepe; Lidiya V Sul; Alan Tang; Yiming Yuan; Ning Li; Anna Bratasz; Kimerly A Powell; Ahmet Kilic; Peter J Mohler; Paul M L Janssen; Raul Weiss; Orlando P Simonetti; John D Hummel; Vadim V Fedorov
Journal:  J Am Heart Assoc       Date:  2017-08-22       Impact factor: 5.501

10.  A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.

Authors:  Martino Alessandrini; Maddalena Valinoti; Laura Unger; Tobias Oesterlein; Olaf Dössel; Cristiana Corsi; Axel Loewe; Stefano Severi
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

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