Localization of Accessory Pathways in Pediatric Patients With Wolff-Parkinson-White Syndrome Using 3D-Rendered Electromechanical Wave Imaging.


Journal

JACC. Clinical electrophysiology
ISSN: 2405-5018
Titre abrégé: JACC Clin Electrophysiol
Pays: United States
ID NLM: 101656995

Informations de publication

Date de publication:
04 2019
Historique:
received: 15 08 2018
revised: 02 12 2018
accepted: 04 12 2018
entrez: 20 4 2019
pubmed: 20 4 2019
medline: 4 7 2020
Statut: ppublish

Résumé

This study sought to demonstrate the feasibility of electromechanical wave imaging (EWI) for localization of accessory pathways (AP) prior to catheter ablation in a pediatric population. Prediction of AP locations in patients with Wolff-Parkinson-White syndrome is currently based on analysis of 12-lead electrocardiography (ECG). In the pediatric population, specific algorithms have been developed to aid in localization, but these can be unreliable. EWI is a noninvasive imaging modality relying on a high frame rate ultrasound sequence capable of visualizing cardiac electromechanical activation. Pediatric patients with ventricular pre-excitation presenting for catheter ablation were imaged with EWI immediately prior to the start of the procedure. Two clinical pediatric electrophysiologists predicted the location of the AP based on ECG. Both EWI and ECG predictions were blinded to the results of catheter ablation. EWI and ECG localizations were subsequently compared with the site of successful ablation. Fifteen patients were imaged with EWI. One patient was excluded for poor echocardiographic windows and the inability to image the entire ventricular myocardium. EWI correctly predicted the location of the AP in all 14 patients. ECG analysis correctly predicted 11 of 14 (78.6%) of the AP locations. EWI was shown to be capable of consistently localizing accessory pathways. EWI predicted the site of successful ablation more frequently than analysis of 12-lead ECG. EWI isochrones also provide anatomical visualization of ventricular pre-excitation. These findings suggest that EWI can predict AP locations, and EWI may have the potential to better inform clinical electrophysiologists prior to catheter ablation procedures.

Sections du résumé

OBJECTIVES
This study sought to demonstrate the feasibility of electromechanical wave imaging (EWI) for localization of accessory pathways (AP) prior to catheter ablation in a pediatric population.
BACKGROUND
Prediction of AP locations in patients with Wolff-Parkinson-White syndrome is currently based on analysis of 12-lead electrocardiography (ECG). In the pediatric population, specific algorithms have been developed to aid in localization, but these can be unreliable. EWI is a noninvasive imaging modality relying on a high frame rate ultrasound sequence capable of visualizing cardiac electromechanical activation.
METHODS
Pediatric patients with ventricular pre-excitation presenting for catheter ablation were imaged with EWI immediately prior to the start of the procedure. Two clinical pediatric electrophysiologists predicted the location of the AP based on ECG. Both EWI and ECG predictions were blinded to the results of catheter ablation. EWI and ECG localizations were subsequently compared with the site of successful ablation.
RESULTS
Fifteen patients were imaged with EWI. One patient was excluded for poor echocardiographic windows and the inability to image the entire ventricular myocardium. EWI correctly predicted the location of the AP in all 14 patients. ECG analysis correctly predicted 11 of 14 (78.6%) of the AP locations.
CONCLUSIONS
EWI was shown to be capable of consistently localizing accessory pathways. EWI predicted the site of successful ablation more frequently than analysis of 12-lead ECG. EWI isochrones also provide anatomical visualization of ventricular pre-excitation. These findings suggest that EWI can predict AP locations, and EWI may have the potential to better inform clinical electrophysiologists prior to catheter ablation procedures.

Identifiants

pubmed: 31000096
pii: S2405-500X(18)30975-7
doi: 10.1016/j.jacep.2018.12.001
pmc: PMC6478397
mid: NIHMS1516657
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

427-437

Subventions

Organisme : NHLBI NIH HHS
ID : K08 HL122526
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB006042
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL114358
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL140646
Pays : United States

Informations de copyright

Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Auteurs

Lea Melki (L)

Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York.

Christopher S Grubb (CS)

Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, New York.

Rachel Weber (R)

Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York.

Pierre Nauleau (P)

Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York.

Hasan Garan (H)

Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, New York.

Elaine Wan (E)

Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, New York.

Eric S Silver (ES)

Pediatric Electrophysiology, Division of Pediatric Cardiology, Department of Pediatrics, Columbia University Medical Center, New York, New York.

Leonardo Liberman (L)

Pediatric Electrophysiology, Division of Pediatric Cardiology, Department of Pediatrics, Columbia University Medical Center, New York, New York.

Elisa E Konofagou (EE)

Ultrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York; Department of Radiology, Columbia University Medical Center, New York, New York. Electronic address: ek2191@columbia.edu.

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