Suppr超能文献

[磁共振成像在心脏瓣膜病评估中的应用]

[Magnetic resonance imaging in the assessment of valvular heart disease].

作者信息

Gallego Pastora

机构信息

Unidad de Técnicas Diagnósticas de Imagen, Servicio de Cardiología, Hospital Universitario Virgen Macarena, Sevilla, España.

出版信息

Rev Esp Cardiol. 2011 Jul;64 Suppl 2:10-8. doi: 10.1016/j.recesp.2011.01.021.

Abstract

Although Doppler echocardiography remains the most frequently used imaging modality for assessing valvular heart disease, the technique has a number of limitations that could affect the quality of imaging studies and make the results difficult to interpret. Cardiac magnetic resonance (CMR) imaging could be superior to echocardiography in a number of ways: for example, for assessing ventricular dimensions, volumes, function and mass, for quantifying valvular regurgitation, and for investigating areas of myocardial fibrosis and extracardiac structures. In carrying out these tasks, CMR uses a variety of pulse sequences that are specially created to obtain information on specific tissue characteristics or on particular aspects of blood flow through heart valves. This general review article focuses on the usefulness of CMR in the clinical diagnosis of valvular heart disease and reviews how the data acquired using the technique can be incorporated into algorithms for the clinical management of patients with significant valvular heart lesions.

摘要

尽管多普勒超声心动图仍是评估心脏瓣膜病最常用的成像方式,但该技术存在一些局限性,可能会影响成像研究的质量,使结果难以解读。心脏磁共振(CMR)成像在许多方面可能优于超声心动图:例如,用于评估心室大小、容积、功能和质量,量化瓣膜反流,以及研究心肌纤维化区域和心外结构。在执行这些任务时,CMR使用各种专门创建的脉冲序列,以获取有关特定组织特征或通过心脏瓣膜的血流特定方面的信息。这篇综述文章重点介绍了CMR在心脏瓣膜病临床诊断中的作用,并回顾了如何将使用该技术获取的数据纳入算法,以用于患有严重心脏瓣膜病变患者的临床管理。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验