Cor Vasa 2022, 64(6):571-578 | DOI: 10.33678/cor.2022.017

Evaluation of five algorithms in predicting the sublocalisation of right ventricular outflow tract arrhythmia (RVOTA) when compared to 3D electroanatomical mapping origin

Raluca Sirbu Prisecarua, Cristina Leatua, Leila Riahib, Victor Costachec, Ioan Manitiuc
a Cardiology Department, European Polisano Medlife Hospital, Sibiu, Romania
b Cardiology Department, Military Hospital Tunis, Tunis, Tunisia
c Lucian Blaga University Sibiu, Sibiu, Romania

Aim: To compare the predictive accuracy of five different algorithms as verified by successful ablation site using 3D electroanatomical non-contact mapping in patients with symptomatic and asymptomatic but high ventricular burden right ventricular outflow tract (RVOT) tachycardias.

Methods: 28 consecutive patients admitted for radiofrequency catheter ablation for symptomatic and asymptomatic, but high ventricular burden idiopathic premature ventricular contractions (PVC) were recruited for this study. All patients had previous failed or intolerant to beta-blocker and/or at least one class IC anti-arrhythmic agents, and they had normal left ventricular ejection fraction. All patients had documented monomorphic PVC with left bundle branch block morphology and an inferior axis. Concordance of the arrhythmia origin based on ECG algorithm and 3D mapping system site were further evaluated. Of the five algorithms, two algorithms with easy-applicability and having a memorable design (Dixit and Joshi) and three algorithms with more complex and detailed design (Ito, Zhang, Pytkowski) were selected for comparisons.

Keywords: ECG algorithms, Left bundle branch block morphology, Radiofrequency ablation, Sublocalisation RVOT origin, VPC,

Received: January 10, 2022; Revised: February 27, 2022; Accepted: March 3, 2022; Published: December 15, 2022  Show citation

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Prisecaru RS, Leatu C, Riahi L, Costache V, Manitiu I. Evaluation of five algorithms in predicting the sublocalisation of right ventricular outflow tract arrhythmia (RVOTA) when compared to 3D electroanatomical mapping origin. Cor Vasa. 2022;64(6):571-578. doi: 10.33678/cor.2022.017.
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