Literature DB >> 24028996

Quantitative localization of premature ventricular contractions using myocardial activation ECGI from the standard 12-lead electrocardiogram.

Peter M van Dam1, Roderick Tung, Kalyanam Shivkumar, Michael Laks.   

Abstract

BACKGROUND: The precise localization of the site of origin of a premature ventricular contractions (PVC) prior to ablation would facilitate the planning and execution of the electrophysiological procedure. Current electrocardiographic imaging (ECGI) techniques require body surface maps, a costly and complex procedure, that requires as many as 256 leads to localize the PVC origin. We developed and tested a novel myocardial activation based ECGI technique utilizing the readily available 12-lead ECG to localize the PVC origin.
METHODS: The major components of the 12-lead ECGI method are: the source model, proximity effect and spatial orientation, volume conductor, and patient specific model of the heart, lungs, and thorax as derived from magnetic resonance imaging (MRI). For the PVC origin localization, the fastest route algorithm is used on patient specific models created by newly developed morphing software. PVC localization by the 12-lead ECGI was correlated to the site of successful ablation.
RESULTS: Seven patients that underwent electrophysiological mapping and ablation of PVCs were studied. All patients (7/7) had accurate prediction of the PVC origin. However in two patients, no specific MRI was used for localization that resulted in an incorrect switch between the RV free wall and septum of the RVOT. With patient-specific models, these latter two cases would likely be localized correctly.
CONCLUSIONS: This feasibility study of a novel myocardial activation-based ECGI using only the standard 12-lead ECG shows promise to localize the origin of PVC. This ECGI method yields activation estimates of isochrones on both ventricles from which the PVC origin location is derived. This method has the capability to localize the PVC from any part of the ventricular endocardium, intra-myocardium or epicardium.
© 2013.

Entities:  

Keywords:  12 lead ECG; Myocardial activation ECGI; PVC localization

Mesh:

Year:  2013        PMID: 24028996     DOI: 10.1016/j.jelectrocard.2013.08.005

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  12 in total

1.  Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

Authors:  Ting Yang; Long Yu; Qi Jin; Liqun Wu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2017-09-25       Impact factor: 4.538

2.  Computing volume potentials for noninvasive imaging of cardiac excitation.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Vincent J H M van Driel; Hemanth Ramanna; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-17       Impact factor: 1.468

Review 3.  Noninvasive imaging of cardiac excitation: current status and future perspective.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Hemanth Ramanna; Vincent J H M van Driel; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-02-19       Impact factor: 1.468

4.  Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.

Authors:  Mohammed Alawad; Linwei Wang
Journal:  IEEE Trans Med Imaging       Date:  2018-11-09       Impact factor: 10.048

5.  Noninvasive epicardial and endocardial electrocardiographic imaging of scar-related ventricular tachycardia.

Authors:  Linwei Wang; Omar A Gharbia; B Milan Horáček; John L Sapp
Journal:  J Electrocardiol       Date:  2016-07-28       Impact factor: 1.438

6.  Three-Dimensional Noninvasive Imaging of Ventricular Arrhythmias in Patients With Premature Ventricular Contractions.

Authors:  Long Yu; Qi Jin; Zhaoye Zhou; Liqun Wu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2017-10-02       Impact factor: 4.538

7.  Noninvasive Imaging of Epicardial and Endocardial Potentials With Low Rank and Sparsity Constraints.

Authors:  Lin Fang; Jingjia Xu; Hongjie Hu; Yunmei Chen; Pengcheng Shi; Linwei Wang; Huafeng Liu
Journal:  IEEE Trans Biomed Eng       Date:  2019-01-21       Impact factor: 4.538

8.  Noninvasive reconstruction of cardiac electrical activity: update on current methods, applications and challenges.

Authors:  M J M Cluitmans; R L M Peeters; R L Westra; P G A Volders
Journal:  Neth Heart J       Date:  2015-06       Impact factor: 2.380

9.  Feasibility and Accuracy of Cardiac Magnetic Resonance Imaging-Based Whole-Heart Inverse Potential Mapping of Sinus Rhythm and Idiopathic Ventricular Foci.

Authors:  Pranav Bhagirath; Maurits van der Graaf; Elise van Dongen; Jacques de Hooge; Vincent van Driel; Hemanth Ramanna; Natasja de Groot; Marco J W Götte
Journal:  J Am Heart Assoc       Date:  2015-10-14       Impact factor: 5.501

10.  A priori model independent inverse potential mapping: the impact of electrode positioning.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Clin Res Cardiol       Date:  2015-07-28       Impact factor: 5.460

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