ArticleCirculation. Arrhythmia and electrophysiology2015
Quantification of the transmural dynamics of atrial fibrillation by simultaneous endocardial and epicardial optical mapping in an acute sheep model.
Article in Circulation. Arrhythmia and electrophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 42 citations in OpenAlex.
- Using computed tomography atrial myocardial thickness maps in cryoballoon pulmonary vein isolation: the UTMOST AF II randomized clinical trial.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Trial
- Using computed tomogram atrial myocardial thickness maps in high-power short-duration radiofrequency pulmonary vein isolation: UTMOST AF.Journal of arrhythmia · 2024Article
- Critical Link between Calcium Regional Heterogeneity and Atrial Fibrillation Susceptibility in Sheep Left Atria.Journal of clinical medicine · 2023Article
- Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2022Article
- Electrophysiology and Arrhythmogenesis in the Human Right Ventricular Outflow Tract.Circulation. Arrhythmia and electrophysiology · 2022Article
- Simultaneous Whole-Chamber Non-contact Mapping of Highest Dominant Frequency Sites During Persistent Atrial Fibrillation: A Prospective Ablation Study.Frontiers in physiology · 2022Article
- Review
- Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a HybridFrontiers in physiology · 2021Article
- Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers.Circulation. Arrhythmia and electrophysiology · 2020Article
- Challenges Associated with Interpreting Mechanisms of AF.Arrhythmia & electrophysiology review · 2020Review
- A Novel Tool for the Identification and Characterization of Repetitive Patterns in High-Density Contact Mapping of Atrial Fibrillation.Frontiers in physiology · 2020Article
- Ranolazine-Mediated Attenuation of Mechanoelectric Feedback in Atrial Myocyte Monolayers.Frontiers in physiology · 2020Article
- Epicardial Fibrosis Explains Increased Endo-Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation.Frontiers in physiology · 2020Article
- Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.Computer methods and programs in biomedicine · 2019Review
- Optical coherence tomography imaging of cardiac substrates.Quantitative imaging in medicine and surgery · 2019Review
- Determinants of new wavefront locations in cholinergic atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2018Article
- Critical Volume of Human Myocardium Necessary to Maintain Ventricular Fibrillation.Circulation. Arrhythmia and electrophysiology · 2018Article
- Article
- Image-Based Computational Evaluation of the Effects of Atrial Wall Thickness and Fibrosis on Re-entrant Drivers for Atrial Fibrillation.Frontiers in physiology · 2018Article
- Mechanistic targets for the ablation of atrial fibrillation.Global cardiology science & practice · 2017Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTherapy strategies for atrial fibrillation based on electric characterization are becoming viable personalized medicine approaches to treat a notoriously difficult disease. In light of these approaches that rely on high-density surface mapping, this study aims to evaluate the presence of 3-dimensional electric substrate variations within the transmural wall during acute episodes of atrial fibrillation. METHODS AND
resultsOptical signals were simultaneously acquired from the epicardial and endocardial tissue during acute fibrillation in ovine isolated left atria. Dominant frequency, regularity index, propagation angles, and phase dynamics were assessed and correlated across imaging planes to gauge the synchrony of the activation patterns compared with paced rhythms. Static frequency parameters were well correlated spatially between the endocardium and the epicardium (dominant frequency, 0.79 ± 0.06 and regularity index, 0.93 ± 0.009). However, dynamic tracking of propagation vectors and phase singularity trajectories revealed discordant activity across the transmural wall. The absolute value of the difference in the number, spatial stability, and temporal stability of phase singularities between the epicardial and the endocardial planes was significantly >0 with a median difference of 1.0, 9.27%, and 19.75%, respectively. The number of wavefronts with respect to time was significantly less correlated and the difference in propagation angle was significantly larger in fibrillation compared with paced rhythms.
conclusionsAtrial fibrillation substrates are dynamic 3-dimensional structures with a range of discordance between the epicardial and the endocardial tissue. The results of this study suggest that transmural propagation may play a role in atrial fibrillation maintenance mechanisms.
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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.