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二尖瓣脱垂患者的心血管磁共振成像

Cardiovascular magnetic resonance in patients with mitral valve prolapse.

作者信息

Figliozzi Stefano, Di Maio Silvana, Georgiopoulos Georgios, Vandenberk Bert, Chiribiri Amedeo, Francone Marco, Aung Nay, Petersen Steffen E, Leiner Tim, Bogaert Jan, Masci Pier-Giorgio

机构信息

IRCCS Humanitas Research Hospital, Milano, Italy; Department of Biomedical Sciences, Humanitas University, Milano, Italy; School of Biomedical Engineering and Imaging Sciences-Faculty of Life Sciences and Medicine, King's College London, London, UK.

IRCCS Humanitas Research Hospital, Milano, Italy.

出版信息

J Cardiovasc Magn Reson. 2024 Dec 25;27(1):101137. doi: 10.1016/j.jocmr.2024.101137.

DOI:10.1016/j.jocmr.2024.101137
PMID:39725235
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11786644/
Abstract

With a prevalence of 2-3% in the general population, mitral valve prolapse (MVP) is the most common valvular heart disease. The clinical course is benign in the majority of patients, although severe mitral regurgitation, heart failure, and sudden cardiac death affect a non-negligible subset of patients. Imaging of MVP was confined to echocardiography until a few years ago when it became apparent that cardiovascular magnetic resonance (CMR) could offer comparative advantages for detecting and quantifying mitral valve abnormalities alongside tissue myocardial characterization. The present review highlights the growing body of evidence supporting the role of CMR in patients with MVP. Based on the recent literature, CMR appears not as a simple alternative to echocardiography in patients with poor acoustic windows, but as a complementary imaging modality instrumental for better quantifying mitral valve abnormalities, mitral regurgitation severity, ventricular remodeling, and myocardial tissue changes. In this respect, pivotal CMR studies highlight that mitral annular disjunction and myocardial fibrosis by late gadolinium enhancement are associated with a heightened risk of life-threatening ventricular arrhythmias (arrhythmic MVP). We also delineate how these and other markers (e.g., the severity of mitral regurgitation) could enable a personalized risk assessment in patients with MVP and implement clinical decision-making. Here, we provide a comprehensive review of the current literature, with an emphasis on the arrhythmic MVP phenotype. The review also provides some practical suggestions on how to carry out a dedicated CMR protocol in MVP and composes a thorough report to inform clinicians on key aspects of this valvular heart disease.

摘要

二尖瓣脱垂(MVP)在普通人群中的患病率为2%-3%,是最常见的心脏瓣膜病。尽管严重二尖瓣反流、心力衰竭和心源性猝死会影响到一部分不可忽视的患者,但大多数患者的临床病程是良性的。直到几年前,MVP的影像学检查还仅限于超声心动图,当时人们发现心血管磁共振(CMR)在检测和量化二尖瓣异常以及心肌组织特征方面具有比较优势。本综述强调了越来越多的证据支持CMR在MVP患者中的作用。根据最近的文献,CMR在声学窗口不佳的患者中似乎不是超声心动图的简单替代方法,而是一种有助于更好地量化二尖瓣异常、二尖瓣反流严重程度、心室重塑和心肌组织变化的补充成像方式。在这方面,关键的CMR研究强调,二尖瓣环分离和钆延迟增强显示的心肌纤维化与危及生命的室性心律失常(心律失常性MVP)风险增加有关。我们还阐述了这些以及其他标志物(如二尖瓣反流的严重程度)如何能够对MVP患者进行个性化风险评估并实施临床决策。在此,我们对当前文献进行全面综述,重点关注心律失常性MVP表型。本综述还就如何在MVP中实施专门的CMR方案提供了一些实用建议,并撰写了一份详尽的报告,以便为临床医生提供有关这种心脏瓣膜病关键方面的信息。

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本文引用的文献

1
Early Right Heart Remodeling in Patients With Mitral Valve Prolapse.二尖瓣脱垂患者的右心早期重构。
Echocardiography. 2024 Nov;41(11):e70017. doi: 10.1111/echo.70017.
2
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J Cardiovasc Magn Reson. 2024;26(2):101056. doi: 10.1016/j.jocmr.2024.101056. Epub 2024 Jul 4.
3
Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.
心律失常性二尖瓣脱垂表型:一项基于多中心心脏 MRI 注册研究的无监督机器学习分析。
Radiol Cardiothorac Imaging. 2024 Jun;6(3):e230247. doi: 10.1148/ryct.230247.
4
Scar architecture affects the electrophysiological characteristics of induced ventricular arrhythmias in hypertrophic cardiomyopathy.瘢痕结构影响肥厚型心肌病诱导性室性心律失常的电生理特征。
Europace. 2024 Mar 1;26(3). doi: 10.1093/europace/euae050.
5
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.4D Flow 心血管磁共振共识声明:2023 更新版。
J Cardiovasc Magn Reson. 2023 Jul 20;25(1):40. doi: 10.1186/s12968-023-00942-z.
6
Mitral valve regurgitation assessed by intraventricular CMR 4D-flow: a systematic review on the technological aspects and potential clinical applications.通过心室内CMR 4D血流评估二尖瓣反流:关于技术方面和潜在临床应用的系统评价
Int J Cardiovasc Imaging. 2023 Oct;39(10):1963-1977. doi: 10.1007/s10554-023-02893-z. Epub 2023 Jun 16.
7
Machine Learning-Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events.基于机器学习的 MVP 表型分组确定与心肌纤维化和心血管事件相关的特征。
JACC Cardiovasc Imaging. 2023 Oct;16(10):1271-1284. doi: 10.1016/j.jcmg.2023.03.009. Epub 2023 May 17.
8
The use of dedicated long-axis views focused on the left atrium improves the accuracy of left atrial volumes and emptying fraction measured by cardiovascular magnetic resonance.使用专门的左心房长轴视图可提高心血管磁共振测量的左心房容积和排空分数的准确性。
J Cardiovasc Magn Reson. 2023 Feb 16;25(1):10. doi: 10.1186/s12968-022-00905-w.
9
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JACC Cardiovasc Imaging. 2022 Nov;15(11):1856-1866. doi: 10.1016/j.jcmg.2022.07.015. Epub 2022 Oct 19.