RESEARCH ARTICLE


Body Surface Mapping of T-wave Alternans Depends on the Distribution of Myocardial Scarring



Amy Zeller, Behnaz Ghoraani*
Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, USA


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Creative Commons License
© Zeller and Ghoraani; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Institute Hall (Bldg. 73), Room 3108, Department of Biomedical Engineering, Rochester Institute of Technology (RIT), 160 Lomb Memorial Drive Rochester, NY 14623-5604, USA; Tel: 585-475-6197; Fax: 585-475-4350;, E-mail: bghoraani@mail.rit.edu


Abstract

T-Wave alternans (TWA) testing using 12-lead electrocardiogram/Frank leads is emerging as an important non-invasive biomarker to identify patients at high risk of Sudden Cardiac Death (SCD). Cardiac scarring is very common among cardiomyopathy patients; however, its influence on the body surface distribution of TWA has not yet been defined. Our objective was to perform a simulation study in order to determine whether cardiac scarring affects the distribution of TWA on thorax such that the standard leads fail to detect TWA in some of cardiomyopathy patients; thereby producing a false-negative test. Developing such a novel lead configuration could improve TWA quantification and potentially optimize electrocardiogram (ECG) lead configuration and risk stratification of SCD in cardiomyopathy patients. The simulation was performed in a 1500-node heart model using ECGSIM. TWA was mimicked by simulating action potential duration alternans in the ventricles. Cardiac scarring with different sizes were simulated by manipulating the apparent velocity, transmembrane potential and transition zone at varied locations along the left ventricular posterior wall. Our simulation study showed that the location of maximum TWA depends on the location and size of the myocardium scarring in patients with cardiomyopathy, which can give rise to false-negative TWA signal detection using standard clinical leads. The TWA amplitude generally increased with the increment of scar size (P<0.00001). We found one specific location (a non-standard lead) that consistently appeared as the top five maximum TWA leads and could be considered as an additional lead to improve the outcome of the TWA testing in cardiomyopathy patients.

Keyword: : Body surface mapping, cardiomy-opathy, ECGSIM, sudden cardiac death, t-wave alternans testing.