Prospective Multicenter Assessment of a New Intraprocedural Automated System for Localizing Idiopathic Ventricular Arrhythmia Origins

Shijie Zhou, Amir AbdelWahab, John L. Sapp, Eric Sung, Konstantinos N. Aronis, James W. Warren, Paul J. MacInnis, Rushil Shah, B. Milan Horáček, Ronald Berger, Harikrishna Tandri, Natalia A. Trayanova, Jonathan Chrispin

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

3 Citas (Scopus)

Resumen

Objectives: The objective of this study was to present a new system, the Automatic Arrhythmia Origin Localization (AAOL) system, which used incomplete electroanatomic mapping (EAM) for localization of idiopathic ventricular arrhythmia (IVA) origin on the patient-specific geometry of left ventricular, right ventricular, and neighboring vessels. The study assessed the accuracy of the system in localizing IVA source sites on cardiac structures where pace mapping is challenging. Background: An intraprocedural automated site of origin localization system was previously developed to identify the origin of early left ventricular activation by using 12-lead electrocardiograms (ECGs). However, it has limitations, as it could not identify the site of origin in the right ventricle and relied on acquiring a complete EAM. Methods: Twenty patients undergoing IVA catheter ablation had a 12-lead ECG recorded during clinical arrhythmia and during pacing at various locations identified on EAM geometries. The new system combined 3-lead (III, V2, and V6) 120-ms QRS integrals and patient-specific EAM geometry with pace mapping to predict the site of earliest ventricular activation. The predicted site was projected onto EAM geometry. Results: Twenty-three IVA origin sites were clinically identified by activation mapping and/or pace mapping (8, right ventricle; 15, left ventricle, including 8 from the posteromedial papillary muscle, 2 from the aortic root, and 1 from the distal coronary sinus). The new system achieved a mean localization accuracy of 3.6 mm for the 23 mapped IVAs. Conclusions: The new intraprocedural AAOL system achieved accurate localization of IVA origin in ventricles and neighboring vessels, which could facilitate ablation procedures for patients with IVAs.

Idioma originalEnglish
Páginas (desde-hasta)395-407
Número de páginas13
PublicaciónJACC: Clinical Electrophysiology
Volumen7
N.º3
DOI
EstadoPublished - mar. 2021

Nota bibliográfica

Funding Information:
This work was supported by funding from the Cardiac Arrhythmia Network of Canada Post-doc Fellowship and the Heart Rhythm Society Post-doc Fellowship to Dr. Zhou; Department of Medicine of Dalhousie University and a Maritime Heart Centre grant to Dr. AbdelWahab; National Institutes of Health (R01HL142496 and R01HL126802) and Leducq Foundation (16CVD02) grants to Dr. Trayanova; and the Robert E. Meyerhoff Professorship to Dr. Chrispin. Dr. Sapp is a co-holder of a patent for automated ventricular tachycardia (VT) localization (no licensing, royalties, or income currently or anticipated); has research funding from Biosense Webster and Abbott (for clinical trial of catheter ablation of VT); and modest speaker honoraria from Medtronic, Biosense Webster, and Abbott. Dr. Horáček is a co-holder of a patent for automated VT localization (no licensing, royalties, or income currently or anticipated). Dr. AbdelWahab has received speaker honoraria from Abbott and Medtronic. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Publisher Copyright:
© 2021 American College of Cardiology Foundation

ASJC Scopus Subject Areas

  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

PubMed: MeSH publication types

  • Journal Article
  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

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