ArticleInternational journal of cardiology2019
Velocity characteristics of atrial fibrillation sources determined by electrographic flow mapping before and after catheter ablation.
Article in International journal of cardiology, 2019. 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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13 citing papers in PubMed, 18 citations in OpenAlex.
- Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibrillation.Frontiers in cardiovascular medicine · 2025Article
- Electrographic flow mapping of persistent atrial fibrillation: intra- and inter-procedure reproducibility in the absence of 'ground truth'.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 · 2023Article
- Electrographic flow mapping for atrial fibrillation: theoretical basis and preliminary observations.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023Review
- Left atrial anatomical variations correlate with atrial fibrillation sources near the left atrial ridge.Frontiers in cardiovascular medicine · 2022Article
- Stochastic termination of spiral wave dynamics in cardiac tissue.Frontiers in network physiology · 2022Article
- First-in-human demonstration of 18-month spatiotemporal stability of active atrial fibrillation source detected by electrographic flow mapping in persistent atrial fibrillation.HeartRhythm case reports · 2021Article
- Functional electrographic flow patterns in patients with persistent atrial fibrillation predict outcome of catheter ablation.Journal of cardiovascular electrophysiology · 2021Article
- Re-interpreting complex atrial tachycardia maps using global atrial vectors.Journal of cardiovascular electrophysiology · 2021Article
- Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry.PloS one · 2021Article
- Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2020Article
- Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Catheter Ablation of Atrial Fibrillation: State of the Art and Future Perspectives.Cardiology and therapy · 2020Review
- Toward Mechanism-Directed Electrophenotype-Based Treatments for Atrial Fibrillation.Frontiers in physiology · 2020Review
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectrographic-Flow-(EGF)-Mapping is a novel method to identify Atrial Fibrillation (AF) drivers. Sources of excitation during AF can be characterized and monitored.
objectiveThe aim of this study was to evaluate the correlation between velocity of EGF around a respective AF source and its spatial variability (SV) and stability (SST).
methods25 patients with AF were included in this study (persistent: n = 24, long-standing persistent: n = 1; mean age 70 ± 8.3 years, male: n = 17). Focal impulse and Rotor-Mapping (FIRM) was performed in addition to pulmonary vein isolation. One-minute epochs of unipolar electrograms recorded via a 64-pole basket catheter in both atria were re-analyzed with EGF-Mapping. SST was calculated as the percentage of time in which a source was detected.
resultsAF sources identified with EGF-Mapping show a wide range of SV during 1 min covering between 0.12% and 38% of the recorded basket-catheter surface. The 12 atria where the sources showed highest temporal stability (TS; between 34% and 97% of 1 min recorded) and those 12 with the lowest TS (between 11 and 20%) differed significantly in their velocities (17.8 el/s vs 12.2 el/s; p < 0.01). In 11 atria ablation caused an average decrease of TS by 47% and of velocity by 27% while SV more than doubled.
conclusionLess stable AF-sources with high spatial variability showed reduced excitation propagation velocity while stable AF sources displayed a high average velocity in their vicinity. Importantly, catheter ablation reduced stability of sources and velocity suggesting a role of these parameters in guidance of ablation. CONDENSED ABSTRACT: Electrographic Flow (EGF)-Mapping is a novel method to identify Atrial Fibrillation (AF) drivers based on modeling of an electrical potential surface and subsequent flow analysis. Sources of excitation during AF can be characterized and monitored. The aim of this study was to evaluate the correlation between velocity of EGF around a respective AF source and its spatial variability and stability. Less stable AF sources with high spatial variability showed reduced excitation propagation velocity while very stable AF sources displayed a high average velocity in their vicinity. Catheter ablation reduced stability of sources and velocity.
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