ArticleFrontiers in physiology2018
A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 20 citations in OpenAlex.
- Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.Interdisciplinary cardiovascular and thoracic surgery · 2025Review
- Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Effect of Spatial Resolution on Accurate Detection and Localization of Arrhythmia Rotors in Human Right Ventricular Tachycardia.Journal of cardiovascular development and disease · 2024Article
- A computational modeling framework for pre-clinical evaluation of cardiac mapping systems.Frontiers in physiology · 2023Article
- Applications of multimodality imaging for left atrial catheter ablation.European heart journal. Cardiovascular Imaging · 2021Review
- Article
- Current progress of computational modeling for guiding clinical atrial fibrillation ablation.Journal of Zhejiang University. Science. B · 2021Review
- Novel mapping techniques for rotor core detection using simulated intracardiac electrograms.Journal of cardiovascular electrophysiology · 2021Article
- Computational Analysis of Mapping Catheter Geometry and Contact Quality Effects on Rotor Detection in Atrial Fibrillation.Frontiers in physiology · 2021Article
- The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment.International journal of cardiology · 2019Review
- Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes.Medical image analysis · 2019Article
- Understanding AF Mechanisms Through Computational Modelling and Simulations.Arrhythmia & electrophysiology review · 2019Review
- Patient-Specific Identification of Atrial Flutter Vulnerability-A Computational Approach to Reveal Latent Reentry Pathways.Frontiers in physiology · 2018Article
- A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.Frontiers in physiology · 2018Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Catheter ablation is a curative therapeutic approach for atrial fibrillation (AF). Ablation of rotational sources based on basket catheter measurements has been proposed as a promising approach in patients with persistent AF to complement pulmonary vein isolation. However, clinically reported success rates are equivocal calling for a mechanistic investigation under controlled conditions. We present a computational framework to benchmark ablation strategies considering the whole cycle from excitation propagation to electrogram acquisition and processing to virtual therapy. Fibrillation was induced in a patient-specific 3D volumetric model of the left atrium, which was homogeneously remodeled to sustain reentry. The resulting extracellular potential field was sampled using models of grid catheters as well as realistically deformed basket catheters considering the specific atrial anatomy. The virtual electrograms were processed to compute phase singularity density maps to target rotor tips with up to three circular ablations. Stable rotors were successfully induced in different regions of the homogeneously remodeled atrium showing that rotors are not constrained to unique anatomical structures or locations. Density maps of rotor tip trajectories correctly identified and located the rotors (deviation < 10 mm) based on catheter recordings only for sufficient resolution (inter-electrode distance ≤3 mm) and proximity to the wall (≤10 mm). Targeting rotor sites with ablation did not stop reentries in the homogeneously remodeled atria independent from lesion size (1-7 mm radius), from linearly connecting lesions with anatomical obstacles, and from the number of rotors targeted sequentially (≤3). Our results show that phase maps derived from intracardiac electrograms can be a powerful tool to map atrial activation patterns, yet they can also be misleading due to inaccurate localization of the rotor tip depending on electrode resolution and distance to the wall. This should be considered to avoid ablating regions that are in fact free of rotor sources of AF. In our experience, ablation of rotor sites was not successful to stop fibrillation. Our comprehensive simulation framework provides the means to holistically benchmark ablation strategies
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