Literature DB >> 17275757

The effect of lesion size and tissue remodeling on ST deviation in partial-thickness ischemia.

Mark Potse1, Ruben Coronel, Stéphanie Falcao, A-Robert LeBlanc, Alain Vinet.   

Abstract

BACKGROUND: Myocardial ischemia causes ST segment elevation or depression in electrocardiograms and epicardial leads. ST depression in epicardium overlying the ischemic zone indicates that the ischemia is nontransmural. However, nontransmural ischemia does not always cause ST depression. Especially in animal models, ST depression is hard to reproduce.
OBJECTIVE: The purpose of this study was to determine the circumstances in which ST depression could be expected.
METHODS: We studied ischemia in a large-scale computer model of the human heart. A realistic representation of the ischemia-induced changes in resting membrane potential was used, which was based on diffusion of extracellular potassium. Ischemia diameter, transmural extent, and tissue conductivity were varied.
RESULTS: Our simulations confirm earlier work showing that partial-thickness ischemia, like full-thickness ischemia, typically causes ST elevation in an anisotropic model of the ventricles. However, we identified three situations in which ST depression can occur in overlying leads. The first is a reduced anisotropy ratio of the intracellular conductivity, which may result from hypertrophy and gap-junctional remodeling, circumstances that are likely to accompany ischemia. Second, an increase of the extracellular anisotropy has the same effect. Third, ST depression was found, independent of the anisotropy ratios, in very large and thin ischemic regions, resembling those that may occur in left-main or multivessel disease.
CONCLUSION: Both tissue remodeling and geometric factors can explain ST depression in overlying epicardial leads. We note at the same time that ST elevation is found in most circumstances, while depression occurs as a reciprocal effect, even in partial-thickness ischemia.

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Mesh:

Year:  2006        PMID: 17275757     DOI: 10.1016/j.hrthm.2006.10.022

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  12 in total

1.  A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2013-07-28       Impact factor: 2.602

2.  A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials.

Authors:  Brett M Burton; Kedar K Aras; Wilson W Good; Jess D Tate; Brian Zenger; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2018-05-21       Impact factor: 3.934

3.  The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart.

Authors:  Brett M Burton; Jess D Tate; Wilson Good; Rob S Macleod
Journal:  Comput Cardiol (2010)       Date:  2017-03-02

4.  The role of extracellular potassium transport in computer models of the ischemic zone.

Authors:  Mark Potse; Ruben Coronel; A-Robert LeBlanc; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2007-10-30       Impact factor: 2.602

5.  Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy.

Authors:  Marieke Pluijmert; Joost Lumens; Mark Potse; Tammo Delhaas; Angelo Auricchio; Frits W Prinzen
Journal:  Arrhythm Electrophysiol Rev       Date:  2015-03-10

6.  Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations.

Authors:  B M Burton; K K Aras; W W Good; J D Tate; B Zenger; R S MacLeod
Journal:  J Electrocardiol       Date:  2018-05-18       Impact factor: 1.438

Review 7.  Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Authors:  Aurore Lyon; Ana Mincholé; Juan Pablo Martínez; Pablo Laguna; Blanca Rodriguez
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

Review 8.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

Review 9.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

10.  Regulation of ion gradients across myocardial ischemic border zones: a biophysical modelling analysis.

Authors:  Steven Niederer
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

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