A consistent decision support system for interpreting of magnetocardiographic data as a tool to improve the acceptance of magnetocardiography in clinical practice

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer methods and programs in biomedicine Pub Date : 2024-11-04 DOI:10.1016/j.cmpb.2024.108489
Illya Chaikovsky, Igor Nedayvoda, Mykhailo Primin
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Abstract

Background

Magnetocardiography undoubtedly has exceptionally high sensitivity to electrophysiological changes in the myocardium. This is an absolutely non-invasivemethod with no contraindications. However, several barriers exist to the widespread adoption of this technique into clinical routine. One of the most important is the lack of a clear and consistent medical algorithm for interpreting magnetocardiographic data, leading to a clinically significant decision.

Areas covered

The article outlines the main clinical questions clinicians pose using the magnetocardiography method. Methods for assessing the degree of abnormality of the results of a magnetocardiographic study and differential diagnosis based on the analysis of CDV maps are described in detail. Both methods for visual evaluation of sets of these maps and automatic decision rules based on linear discriminant analysis and pattern recognition are characterized. Also, techniques are described for localizing the pathological changes in the myocardium. As an example of using the developed system for interpreting magnetocardiographic data, the results of two multicenter studies in which this system of interpretation of MCG studies was used are presented.

Сonclusion

The magnetocardiographic examination is reliable for diagnosing chronic coronary heart disease, including in difficult-to-diagnose cases. A consistent system for interpreting of magnetocardiographic data allows medical practitioners to easily master the MCG technology and obtain the correct examination result.
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用于解释磁心动图数据的一致决策支持系统,作为提高磁心动图在临床实践中的接受度的工具。
背景:磁共振心动图无疑对心肌的电生理变化具有极高的灵敏度。这是一种绝对无创的方法,没有任何禁忌症。然而,在临床常规中广泛采用这种技术还存在一些障碍。其中最重要的一个障碍是缺乏明确一致的医学算法来解释磁心动图数据,从而做出具有临床意义的决定:文章概述了临床医生使用磁心动图方法提出的主要临床问题。详细描述了评估磁心动图研究结果异常程度的方法和基于 CDV 图分析的鉴别诊断。描述了对这些图集进行视觉评估的方法以及基于线性判别分析和模式识别的自动判定规则。此外,还介绍了心肌病理变化的定位技术。作为使用所开发系统解释磁心动图数据的一个例子,介绍了两项多中心研究的结果,其中使用了该系统解释 MCG 研究。结论:磁共振心动图检查是诊断慢性冠心病的可靠方法,包括难以诊断的病例。统一的磁心动图数据解读系统能让医生轻松掌握 MCG 技术并获得正确的检查结果。
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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