ArticleFrontiers in cardiovascular medicine2022
Case report: Personalized computational model guided ablation for left atrial flutter.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Image quality assessment and automation in late gadolinium-enhanced MRI of the left atrium in atrial fibrillation patients.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025Article
- Uncertainty Quantification of Fibrotic Conductivity Effects on Computational Model-Derived Ablation of Atypical Left Atrial Flutter.Computing in cardiology · 2024Article
- A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations.Computing in cardiology · 2023Article
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Authors and funding
6 authors.
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Abstract
Atypical atrial flutter is seen post-ablation in patients, and it can be challenging to map. These flutters are typically set up around areas of scar in the left atrium. MRI can reliably identify left atrial scar. We propose a personalized computational model using patient specific scar information, to generate a monodomain model. In the model conductivities are adjusted for different tissue regions and flutter was induced with a premature pacing protocol. The model was tested prospectively in patients undergoing atypical flutter ablation. The simulation-predicted flutters were visualized and presented to clinicians. Validation of the computational model was motivated by recording from electroanatomical mapping. These personalized models successfully predicted clinically observed atypical flutter circuits and at times even better than invasive maps leading to flutter termination at isthmus sites predicted by the model.
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