Why the study?
Personalized arrhythmia simulations have the potential to improve diagnosis and guide therapy, prompting the development of a framework incorporating scar.
A personalized computational framework for ventricular electrophysiology simulations based on MRI-detected scar was developed, but highlighted the need for further personalization of both the heart model and the stress test to accurately reproduce clinical ventricular fibrillation.
Personalized scar-based models may aid PVC simulation; leaves open accurate VF reproduction pending further model and protocol refinement.
Personalized arrhythmia simulations have the potential to improve diagnosis and guide therapy. Here, we introduce a computational framework for personalized simulations of ventricular electrophysiology (EP) incorporating scar. This framework was utilized in a patient who had ventricular fibrillation (VF).
No takes yet. Share an insight, caveat, or question.
Lau et al. (2019) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: