However, just one-year post-ablation, the recurrence is reported between 23% and 62% ( 2). The most promising treatment for ALAF is ablation, with reported acute success rates between 51% and 100% ( 2, 3). 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.Ītypical left atrial flutter (ALAF) is an often-stable arrhythmia commonly seen in approximately 80% of the 20% of ablations for atrial fibrillation that results in atrial arrhythmias ( 1). Validation of the computational model was motivated by recording from electroanatomical mapping. The simulation-predicted flutters were visualized and presented to clinicians. The model was tested prospectively in patients undergoing atypical flutter ablation. In the model conductivities are adjusted for different tissue regions and flutter was induced with a premature pacing protocol. We propose a personalized computational model using patient specific scar information, to generate a monodomain model. MRI can reliably identify left atrial scar. These flutters are typically set up around areas of scar in the left atrium. 5Department of Internal Medicine, Division of Cardiovascular Medicine, University of Utah School of Medicine, Salt Lake City, UT, United StatesĪtypical atrial flutter is seen post-ablation in patients, and it can be challenging to map.4Scientific Computing and Imaging Institute, The University of Utah, Salt Lake City, UT, United States.3Department of Surgery, Division of Cardiothoracic Surgery, University of Utah School of Medicine, Salt Lake City, UT, United States.2Biomedical Engineering, The University of Utah, Salt Lake City, UT, United States.1Nora Eccles Harrison Cardiovascular Research and Training Institute, The University of Utah, Salt Lake City, UT, United States.Matthias Lange 1 Eugene Kwan 1,2 Derek J.
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