ReviewThe Journal of physiology2016
Lessons from computer simulations of ablation of atrial fibrillation.
Review in The Journal of physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A Semi-automatic Pipeline for Generation of Large Cohorts of Four-Chamber Heart Meshes.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Computational modeling: What does it tell us about atrial fibrillation therapy?International journal of cardiology · 2019Review
- Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies.Frontiers in physiology · 2019Article
- Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics.PLoS computational biology · 2018Article
- A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.Frontiers in physiology · 2018Article
- Patient-Specific Identification of Atrial Flutter Vulnerability-A Computational Approach to Reveal Latent Reentry Pathways.Frontiers in physiology · 2018Article
- Three-dimensional Integrated Functional, Structural, and Computational Mapping to Define the Structural "Fingerprints" of Heart-Specific Atrial Fibrillation Drivers in Human Heart Ex Vivo.Journal of the American Heart Association · 2017Article
- Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.Journal of the Royal Society, Interface · 2017Article
- Commentary: VirtualFrontiers in physiology · 2017Article
- VirtualFrontiers in physiology · 2017Article
- Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.Pharmacology & therapeutics · 2016Review
- Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.The Journal of physiology · 2016Review
- George Ralph Mines (1886-1914): the dawn of cardiac nonlinear dynamics.The Journal of physiology · 2016Article
Corrections and comments
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Authors and funding
1 author.
Funding
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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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.