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Non-invasive localization of premature ventricular focus: A prospective multicenter study.
- Source :
-
Journal of electrocardiology [J Electrocardiol] 2022 May-Jun; Vol. 72, pp. 6-12. Date of Electronic Publication: 2022 Feb 19. - Publication Year :
- 2022
-
Abstract
- Background: Accurate localization of premature ventricular contractions (PVC) focus is a prerequisite to successful catheter ablation.<br />Objective: The objective was to evaluate the software View Into Ventricular Onset (VIVO) accuracy at locating the anatomical origins for premature ventricular contractions. The VIVO device noninvasively creates a model of the patient's heart and torso, with exact locations of 12‑lead ECG electrodes, and applies a mathematical algorithm from surface signals to determine the origin of the arrhythmia. We sought to compare the agreement between VIVO-predicted locations to invasive electroanatomical mapping results.<br />Methods: 51 consecutive patients who presented for PVC ablations at the study centers were recruited. VIVO images were collected at baseline preprocedure and all patients underwent invasive electroanatomical activation mapping of the clinical arrhythmia. Pacing was performed in pre-specified locations in the right and/or left ventricle. The successful sites of ablation and the pacing locations were compared to VIVO predicted locations. The results were adjudicated by physician experts in a blinded fashion.<br />Results: Seven patients were excluded from analyses. VIVO accurately identified the origin of the clinical premature ventricular contractions in 44/44 patients (100.00%). The accuracy in identifying the paced location for all patients (right and left sides of the heart) was 99.5% using the VIVO system. No adverse events were reported.<br />Conclusions: VIVO is a novel noninvasive system that could be used to help guide ablation procedures with a high degree of accuracy. The VIVO algorithm is easy to use and may be useful in the workflow for ventricular arrhythmia ablation.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1532-8430
- Volume :
- 72
- Database :
- MEDLINE
- Journal :
- Journal of electrocardiology
- Publication Type :
- Academic Journal
- Accession number :
- 35220047
- Full Text :
- https://doi.org/10.1016/j.jelectrocard.2022.02.007