Literature DB >> 18269975

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

Matthias Reumann1, Julia Bohnert, Gunnar Seemann, Brigitte Osswald, Olaf Dössel.   

Abstract

Ablation strategies to prevent episodes of paroxysmal atrial fibrillation (AF) have been subject to many clinical studies. The issues mainly concern pattern and transmurality of the lesions. This paper investigates ten different ablation strategies on a multilayered 3-D anatomical model of the atria with respect to 23 different setups of AF initiation in a biophysical computer model. There were 495 simulations carried out showing that circumferential lesions around the pulmonary veins (PVs) yield the highest success rate if at least two additional linear lesions are carried out. The findings compare with clinical studies as well as with other computer simulations. The anatomy and the setup of ectopic beats play an important role in the initiation and maintenance of AF as well as the resulting therapy. The computer model presented in this paper is a suitable tool to investigate different ablation strategies. By including individual patient anatomy and electrophysiological measurement, the model could be parameterized to yield an effective tool for future investigation of tailored ablation strategies and their effects on atrial fibrillation.

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Year:  2008        PMID: 18269975     DOI: 10.1109/TBME.2007.912672

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  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

3.  Estimating the time scale and anatomical location of atrial fibrillation spontaneous termination in a biophysical model.

Authors:  Laurent Uldry; Vincent Jacquemet; Nathalie Virag; Lukas Kappenberger; Jean-Marc Vesin
Journal:  Med Biol Eng Comput       Date:  2012-01-21       Impact factor: 2.602

Review 4.  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

Review 5.  Image-based models of cardiac structure in health and disease.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Anton J Prassl; Junjie Chen; Ferdinand Kickinger; Peter Kohl; Gernot Plank; Natalia Trayanova
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Jul-Aug

Review 6.  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

7.  In the Spotlight: Cardiovascular Engineering.

Authors:  Natalia Trayanova
Journal:  IEEE Rev Biomed Eng       Date:  2009-11-17

8.  Potential Maintenance Mechanism in Atrial Fibrillation Patients Subject to Different Treatment Procedures: A Preliminary Study Based on a Human Atrial Model.

Authors:  Zhao-Lian Ouyang; Li-Ping Sun; Hui Chi; Ling Xia; Ying-Lan Gong; Yu-Bo Fan
Journal:  Curr Med Sci       Date:  2018-06-22

Review 9.  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 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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