Key result
In silico patient-specific models from 3D DE-MRI successfully simulated intracardiac electrograms, showing significant differences between normal and abnormal EGM distributions (p=0.0001).
Why the study?
Can in silico patient-specific models based on DE-MRI accurately simulate intracardiac electrograms to identify ablation targets?
Population
In silico patient-specific models constructed from three-dimensional delayed-enhanced magnetic resonance…
Design
Preclinical
Authors
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May inform noninvasive ablation targeting; leaves open human validation from animal data.
Can in silico patient-specific models based on DE-MRI accurately simulate intracardiac electrograms to identify ablation targets?
p-value: p=0.0001
Coupling simplified cardiac electrophysiology models with imaging data to generate intracardiac EGM is feasible and may help noninvasively identify radiofrequency ablation targets.
Lozoya et al. (2016) studied Abnormal ventricular electrograms. In silico patient-specific models from 3D DE-MRI was evaluated on Quantitative assessment of signal features between normal and abnormal EGM (p=0.0001). In silico patient-specific models from 3D DE-MRI successfully simulated intracardiac electrograms, showing significant differences between normal and abnormal EGM distributions (p=0.0001).
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