Selection of Target Area for Interventional and Cell Therapy after Myocardial Infarction Using 3d Echocardiography

IF 2.6 3区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.31

C. Matei, T. Benedek, M. Chițu, I.A. Sarbu-Pop, I. Kovács, I. Benedek, K. Eniko, K. Judit

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引用次数: 0

Abstract

Computerized 3D echocardiography could be an alternative in order to identify viable myocardium as target area for revascularization and cell therapy after myocardial infarction, especially when other imagistic techniques (SPECT, PET) are not available. Stem cell transplantation after myocardial infarction is an innovative therapy in order to save larger myocardial areas and to recover hibernated myocardium postinfarction. We studied 39 patients with acute myocardial infarction classified in three groups, according to the treatment performed. For all patients we used computerized 3D echocardiography to determine objective parameters for complex analyze of left ventricular contractility, synchronism and remodeling. Parameters determined were: contraction dis-synchronism between different segments, time delay until reaching the maximum contraction amplitude, maximum contraction excursion, ejection fraction at different segments, ventricular volumes in different moments of cardiac cycle.

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利用三维超声心动图选择心肌梗死后介入和细胞治疗的靶区

在心肌梗死后，计算机三维超声心动图可以作为一种替代方法，以确定可存活的心肌作为血运重建和细胞治疗的靶区，特别是在其他成像技术(SPECT, PET)不可用的情况下。心肌梗死后干细胞移植是一种创新的治疗方法，可以挽救更大的心肌面积，恢复梗死后冬眠的心肌。我们研究了39例急性心肌梗死患者，根据所接受的治疗分为三组。对于所有患者，我们使用计算机三维超声心动图来确定左心室收缩性、同步性和重构的复杂分析的客观参数。测定的参数有:不同节段间的收缩不同步性、到达最大收缩幅度的时间延迟、最大收缩偏移、不同节段的射血分数、心周期不同时刻的心室容积。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems Science & Complexity 数学-数学跨学科应用

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.