Key result
Inverse estimation of personalized Purkinje networks yields a ~7 ms average local activation time error.
Why the study?
Estimating a patient-specific compatible Purkinje network from an electro-anatomical map is challenging, but could improve electrophysiology simulation models and aid therapy planning such as radiofrequency ablation.
A novel methodology can accurately estimate patient-specific Purkinje networks from electro-anatomical maps, potentially aiding in electrophysiology simulations and therapy planning like radiofrequency ablation.
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Hypothesis-generating for personalized EP modeling; leaves open prospective validation before clinical adoption.
Barber et al. (2021) studied Patients undergoing electro-anatomical mapping (n=28). Inverse estimation of personalized Purkinje network was evaluated on Average local activation time error in the endocardium. Inverse estimation of personalized Purkinje networks from 28 patient maps yielded an average local activation time error of 6.8±2.2 ms and simulated-clinical ECG correlations >0.85.
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