Literature DB >> 26415018

Noninvasive electrocardiographic imaging of chronic myocardial infarct scar.

B Milan Horáček1, Linwei Wang2, Fady Dawoud3, Jingjia Xu2, John L Sapp3.   

Abstract

BACKGROUND: Myocardial infarction (MI) scar constitutes a substrate for ventricular tachycardia (VT), and an accurate delineation of infarct scar may help to identify reentrant circuits and thus facilitate catheter ablation. One of the recent advancements in characterization of a VT substrate is its volumetric delineation within the ventricular wall by noninvasive electrocardiographic imaging. This paper compares, in four specific cases, epicardial and volumetric inverse solutions, using magnetic resonance imaging (MRI) with late gadolinium enhancement as a gold standard.
METHODS: For patients with chronic MI, who presented at Glasgow Western Infirmary, delayed-enhancement MRI and 120-lead body surface potential mapping (BSPM) data were acquired and 4 selected cases were later made available to a wider community as part of the 2007 PhysioNet/Computers in Cardiology Challenge. These data were used to perform patient-specific inverse solutions for epicardial electrograms and morphology-based criteria were applied to delineate infarct scar on the epicardial surface. Later, the Rochester group analyzed the same data by means of a novel inverse solution for reconstructing intramural transmembrane potentials, to delineate infarct scar in three dimensions. Comparison of the performance of three specific inverse-solution algorithms is presented here, using scores based on the 17-segment ventricular division scheme recommended by the American Heart Association.
RESULTS: The noninvasive methods delineating infarct scar as three-dimensional (3D) intramural distribution of transmembrane action potentials outperform estimates providing scar delineation on the epicardial surface in all scores used for comparison. In particular, the extent of infarct scar (its percentage mass relative to the total ventricular mass) is rendered more accurately by the 3D estimate. Moreover, the volumetric rendition of scar border provides better clues to potential targets for catheter ablation.
CONCLUSIONS: Electrocardiographic inverse solution providing transmural distribution of ventricular action potentials is a promising tool for noninvasively delineating the extent and location of chronic MI scar. Further validation on a larger data set with detailed gold-standard data is needed to confirm observations reported in this study.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electrocardiography; Inverse solution; Myocardial infarction

Mesh:

Year:  2015        PMID: 26415018      PMCID: PMC4646064          DOI: 10.1016/j.jelectrocard.2015.08.035

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


  24 in total

1.  Universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Harvey D White
Journal:  J Am Coll Cardiol       Date:  2007-11-27       Impact factor: 24.094

Review 2.  Electrocardiographic signs of remote myocardial infarction.

Authors:  Mark A Michael; Hicham El Masry; Bilal R Khan; Mithilesh K Das
Journal:  Prog Cardiovasc Dis       Date:  2007 Nov-Dec       Impact factor: 8.194

Review 3.  The QRS complex--a biomarker that "images" the heart: QRS scores to quantify myocardial scar in the presence of normal and abnormal ventricular conduction.

Authors:  David G Strauss; Ronald H Selvester
Journal:  J Electrocardiol       Date:  2008-09-13       Impact factor: 1.438

4.  The inverse problem of electrocardiography: a solution in terms of single- and double-layer sources of the epicardial surface.

Authors:  B M Horácek; J C Clements
Journal:  Math Biosci       Date:  1997-09       Impact factor: 2.144

5.  Ablation targets in reentrant ventricular tachycardia.

Authors:  Edward J Ciaccio
Journal:  Heart Rhythm       Date:  2013-05-09       Impact factor: 6.343

6.  Noninvasive transmural electrophysiological imaging based on minimization of total-variation functional.

Authors:  Jingjia Xu; Azar Rahimi Dehaghani; Fei Gao; Linwei Wang
Journal:  IEEE Trans Med Imaging       Date:  2014-05-16       Impact factor: 10.048

7.  Using inverse electrocardiography to image myocardial infarction--reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge.

Authors:  Fady Dawoud; Galen S Wagner; George Moody; B Milan Horácek
Journal:  J Electrocardiol       Date:  2008 Nov-Dec       Impact factor: 1.438

8.  ST-segment deviation analysis of the admission 12-lead electrocardiogram as an aid to early diagnosis of acute myocardial infarction with a cardiac magnetic resonance imaging gold standard.

Authors:  Thomas N Martin; Bjoern A Groenning; Heather M Murray; Tracey Steedman; John E Foster; Alex T Elliot; Henry J Dargie; Ronald H Selvester; Olle Pahlm; Galen S Wagner
Journal:  J Am Coll Cardiol       Date:  2007-08-24       Impact factor: 24.094

9.  Infarct size by contrast enhanced cardiac magnetic resonance is a stronger predictor of outcomes than left ventricular ejection fraction or end-systolic volume index: prospective cohort study.

Authors:  E Wu; J T Ortiz; P Tejedor; D C Lee; C Bucciarelli-Ducci; P Kansal; J C Carr; T A Holly; D Lloyd-Jones; F J Klocke; R O Bonow
Journal:  Heart       Date:  2007-12-10       Impact factor: 5.994

10.  Performance of delayed-enhancement magnetic resonance imaging with gadoversetamide contrast for the detection and assessment of myocardial infarction: an international, multicenter, double-blinded, randomized trial.

Authors:  Raymond J Kim; Timothy S E Albert; James H Wible; Michael D Elliott; John C Allen; Jennifer C Lee; Michele Parker; Alicia Napoli; Robert M Judd
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

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  4 in total

1.  Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Authors:  Jake Bergquist; Lindsay Rupp; Brian Zenger; James Brundage; Anna Busatto; Rob S MacLeod
Journal:  Hearts (Basel)       Date:  2021-11-05

2.  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

Review 3.  Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications.

Authors:  Matthijs Cluitmans; Dana H Brooks; Rob MacLeod; Olaf Dössel; María S Guillem; Peter M van Dam; Jana Svehlikova; Bin He; John Sapp; Linwei Wang; Laura Bear
Journal:  Front Physiol       Date:  2018-09-20       Impact factor: 4.566

4.  Statistical guidance of VT ablation.

Authors:  Miguel Rodrigo; Sanjiv M Narayan
Journal:  J Cardiovasc Electrophysiol       Date:  2018-06-07       Impact factor: 2.942

  4 in total

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