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Title: Clinical validation of automatic local activation time annotation during focal premature ventricular complex ablation procedures.
Authors: Acosta, Juan
Soto-Iglesias, David
Fernández-Armenta, Juan
Frutos-López, Manuel
Jáuregui, Beatriz
Arana-Rueda, Eduardo
Fernández, Marcos
Penela, Diego
Alcaine, Alejandro
Cano, Lucas
Pedrote, Alonso
Berruezo, Antonio
metadata.dc.subject.mesh: Action Potentials
Catheter Ablation
Electrophysiologic Techniques, Cardiac
Heart Rate
Middle Aged
Predictive Value of Tests
Reproducibility of Results
Signal Processing, Computer-Assisted
Time Factors
Treatment Outcome
Ventricular Premature Complexes
Issue Date: 2018
Abstract: Current navigation systems incorporate algorithms for automatic identification of local activation time (LAT). However, data about their utility and accuracy in premature ventricular complex (PVC) ablation procedures are scarce. This study analyses the accuracy of an algorithmic method based on automatic annotation of the maximal negative slope of the unipolar electrogram within the window demarcated by the bipolar electrogram compared with conventional manual annotation during PVC ablation procedures. Forty patients with successful ablation of focal PVC in three centres were included. Electroanatomical activation maps obtained with the automatic system (WF-map) were compared with manual annotation maps (M-map). Correlation and concordance of LAT obtained with both methods were assessed at 3536 points. The distance between the earliest activation site (EAS) and the effective radiofrequency application point (e-RFp) were determined in M-map and WF-map. The distance between WF-EAS and M-EAS was assessed. Successful ablation sites included left ventricular outflow tract (LVOT; 55%), right ventricular outflow tract (40%), and tricuspid annulus (5%). Good correlation was observed between the two annotation approaches (r = 0.655; P  Good correlation was found between M-map and WF-map. Local activation time detection was systematically delayed in WF-map, especially in LVOT. Accurate identification of e-RFp was achieved with both annotation approaches.
metadata.dc.identifier.doi: 10.1093/europace/eux306
Appears in Collections:Producción 2020

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