A left ventricle model to predict post-revascularization ejection fraction based on cine magnetic resonance images

Hai Chao Han; John N. Oshinski; David N. Ku; Roderic I. Pettigrew

doi:10.1115/1.1428555

A left ventricle model to predict post-revascularization ejection fraction based on cine magnetic resonance images

Hai Chao Han, John N. Oshinski, David N. Ku, Roderic I. Pettigrew

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The left ventricular ejection fraction (LVEF) is an important clinical indicator of the cardiac function and long-term outcome for patients with coronary artery disease. A biomechanical model of the left ventricle was developed to quantitatively predict postrevascularization LVEF based on noninvasive magnetic resonance imaging. The myocardium was categorized into normal, hibernating, and infarcted regions from the ventricular short-axis images. Assuming that hibernating tissue would potentially regain contractility after revascularization, the expected maximum post-revascularization LVEF was calculated for four patients with chronic left ventricular dysfunction. The predictions were within three ejection fraction points of the follow-up LVEFs. This model may be useful to estimate the outcome and efficacy of revascularization plans.

Original language	English (US)
Pages (from-to)	52-55
Number of pages	4
Journal	Journal of Biomechanical Engineering
Volume	124
Issue number	1
DOIs	https://doi.org/10.1115/1.1428555
State	Published - 2002

Keywords

Cardiac Function
Coronary Artery Disease
Hibernating Myocardium
Myocardial Ischemia

ASJC Scopus subject areas

Biomedical Engineering
Physiology (medical)

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10.1115/1.1428555

Cite this

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title = "A left ventricle model to predict post-revascularization ejection fraction based on cine magnetic resonance images",

abstract = "The left ventricular ejection fraction (LVEF) is an important clinical indicator of the cardiac function and long-term outcome for patients with coronary artery disease. A biomechanical model of the left ventricle was developed to quantitatively predict postrevascularization LVEF based on noninvasive magnetic resonance imaging. The myocardium was categorized into normal, hibernating, and infarcted regions from the ventricular short-axis images. Assuming that hibernating tissue would potentially regain contractility after revascularization, the expected maximum post-revascularization LVEF was calculated for four patients with chronic left ventricular dysfunction. The predictions were within three ejection fraction points of the follow-up LVEFs. This model may be useful to estimate the outcome and efficacy of revascularization plans.",

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AU - Han, Hai Chao

AU - Oshinski, John N.

AU - Ku, David N.

AU - Pettigrew, Roderic I.

PY - 2002

Y1 - 2002

N2 - The left ventricular ejection fraction (LVEF) is an important clinical indicator of the cardiac function and long-term outcome for patients with coronary artery disease. A biomechanical model of the left ventricle was developed to quantitatively predict postrevascularization LVEF based on noninvasive magnetic resonance imaging. The myocardium was categorized into normal, hibernating, and infarcted regions from the ventricular short-axis images. Assuming that hibernating tissue would potentially regain contractility after revascularization, the expected maximum post-revascularization LVEF was calculated for four patients with chronic left ventricular dysfunction. The predictions were within three ejection fraction points of the follow-up LVEFs. This model may be useful to estimate the outcome and efficacy of revascularization plans.

AB - The left ventricular ejection fraction (LVEF) is an important clinical indicator of the cardiac function and long-term outcome for patients with coronary artery disease. A biomechanical model of the left ventricle was developed to quantitatively predict postrevascularization LVEF based on noninvasive magnetic resonance imaging. The myocardium was categorized into normal, hibernating, and infarcted regions from the ventricular short-axis images. Assuming that hibernating tissue would potentially regain contractility after revascularization, the expected maximum post-revascularization LVEF was calculated for four patients with chronic left ventricular dysfunction. The predictions were within three ejection fraction points of the follow-up LVEFs. This model may be useful to estimate the outcome and efficacy of revascularization plans.

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A left ventricle model to predict post-revascularization ejection fraction based on cine magnetic resonance images

Abstract

Keywords

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