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Mapping of Complex Arrhythmias: Auxiliary Approach ...
Mapping of Complex Arrhythmias: Auxiliary Approach ...
Mapping of Complex Arrhythmias: Auxiliary Approaches to Improve Outcomes
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Video Summary
The session chaired by Omer Berenfeld and Anand Ganesan focused on mapping complex arrhythmias, particularly atrial fibrillation (AF), using advanced imaging and computational modeling techniques. The discussion highlighted various imaging modalities, such as MRI and PET, which, when combined, could enhance understanding and treatment strategies for heart arrhythmias by providing insights into both anatomical and functional aspects of the heart. The session emphasized the potential of multifunctional imaging to locate crucial pathways involved in arrhythmias, which could lead to more targeted ablation therapies and improved patient outcomes.<br /><br />Dr. Michael Dickfeld discussed using PET imaging to correlate voltage maps with metabolic defects, which could help find crucial areas for ablation in patients with ischemic cardiomyopathy. Furthermore, the session explored using modalities like SPECT for innervation imaging, aiming to uncover arrhythmogenic structures not easily visible via traditional methods.<br /><br />Another focal point was the potential of topological approaches in mapping atrial flutter, as discussed by Dr. Anand Ganesan. This includes applying mathematical principles to identify and treat atypical atrial flutters based on their rotational activities and anatomical structures, aiming for more precise ablation interventions.<br /><br />Dr. Vadim Fedorov spoke on using adenosine to stabilize atrial fibrillation for mapping, suggesting that combining this with structural imaging could better identify and target re-entrant circuits within the human atrial wall.<br /><br />Lastly, Dr. Carolyn Roney presented on computational models, particularly for personalizing AF treatments and conducting large-scale in silico clinical trials. These models simulate patient-specific anatomical and electro-physiological characteristics to predict outcomes and optimize therapies, posing potential for clinical applications in mapping and treating complex arrhythmias. The session concluded with discussions on integrating these advanced methodologies into clinical practice for improved atrial fibrillation management.
Keywords
complex arrhythmias
atrial fibrillation
advanced imaging
computational modeling
multifunctional imaging
ablation therapies
ischemic cardiomyopathy
topological approaches
adenosine stabilization
personalized AF treatments
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