Key result
Personalized computational models of fibrosis show promise for understanding arrhythmias and guiding individualized catheter ablation.
Personalized computational modeling of atrial fibrosis is a promising tool for understanding arrhythmia mechanisms and planning individualized ablation procedures.
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May guide personalized ablation research; leaves open prospective outcome validation in clinical practice.
Boyle et al. (2016) conducted a review in Atrial arrhythmia. Personalized computational modelling was evaluated. Personalized computational models based on clinical imaging of fibrotic tissue distribution offer a promising approach to understand arrhythmia mechanisms and plan individualized catheter ablation.
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