Literature DB >> 31707808

Spatial Accuracy of a Clinically Established Noninvasive Electrocardiographic Imaging System for the Detection of Focal Activation in an Intact Porcine Model.

Stephan Hohmann1, Maryam E Rettmann1, Hiroki Konishi1, Anna Borenstein2, Songyun Wang1, Atsushi Suzuki1, Gregory J Michalak3, Kristi H Monahan1, Kay D Parker1, L Katie Newman1, Douglas L Packer1.   

Abstract

BACKGROUND: Noninvasive electrocardiographic imaging (ECGi) is used clinically to map arrhythmias before ablation. Despite its clinical use, validation data regarding the accuracy of the system for the identification of arrhythmia foci is limited.
METHODS: Nine pigs underwent closed-chest placement of endocardial fiducial markers, computed tomography, and pacing in all cardiac chambers with ECGi acquisition. Pacing location was reconstructed from biplane fluoroscopy and registered to the computed tomography using the fiducials. A blinded investigator predicted the pacing location from the ECGi data, and the distance to the true pacing catheter tip location was calculated.
RESULTS: A total of 109 endocardial and 9 epicardial locations were paced in 9 pigs. ECGi predicted the correct chamber of origin in 85% of atrial and 92% of ventricular sites. Lateral locations were predicted in the correct chamber more often than septal locations (97% versus 79%, P=0.01). Absolute distances in space between the true and predicted pacing locations were 20.7 (13.8-25.6) mm (median and [first-third] quartile). Distances were not significantly different across cardiac chambers.
CONCLUSIONS: The ECGi system is able to correctly identify the chamber of origin for focal activation in the vast majority of cases. Determination of the true site of origin is possible with sufficient accuracy with consideration of these error estimates.

Entities:  

Keywords:  echocardiography; electrocardiography; electrophysiology; fluoroscopy; tomography

Mesh:

Year:  2019        PMID: 31707808     DOI: 10.1161/CIRCEP.119.007570

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  5 in total

Review 1.  Stereotactic radioablation for ventricular tachycardia.

Authors:  Stephan Hohmann; Henrike A K Hillmann; Johanna Müller-Leisse; Jörg Eiringhaus; Christos Zormpas; Roland Merten; Christian Veltmann; David Duncker
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2021-11-26

2.  Combining endocardial mapping and electrocardiographic imaging (ECGI) for improving PVC localization: A feasibility study.

Authors:  Wilson W Good; Brian Zenger; Jake A Bergquist; Lindsay C Rupp; Karli Gillette; Nathan Angel; Derrick Chou; Gernot Plank; Rob S MacLeod
Journal:  J Electrocardiol       Date:  2021-09-30       Impact factor: 1.380

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

Authors:  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
Journal:  JACC Clin Electrophysiol       Date:  2020-11-25

4.  The interconnected atrium: Acute impact of pulmonary vein isolation on remote atrial tissue.

Authors:  Albert J Rogers; Tina Baykaner; Sanjiv M Narayan
Journal:  J Cardiovasc Electrophysiol       Date:  2020-02-23       Impact factor: 2.942

5.  Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.

Authors:  Ke-Wei Chen; Laura Bear; Che-Wei Lin
Journal:  Sensors (Basel)       Date:  2022-03-17       Impact factor: 3.576

  5 in total

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