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多模态影像学在心肌病的诊断和管理中的作用。

Role of multimodality imaging in the diagnosis and management of cardiomyopathies.

机构信息

Department of Cardiology, Hôpital Saint Antoine, AP-HP, 75012 Paris, France; INSERM U-856 (Thrombose, Athérothrombose et Pharmacologie Appliquée), 75571 Paris, France.

Service de Cardiologie, CHU Ambroise Paré, AP-HP, 92100 Boulogne Billancourt, France; INSERM U-1018, CESP, Team 5 (EpReC, Renal and Cardiovascular Epidemiology), UVSQ, 94807 Villejuif, France.

出版信息

Arch Cardiovasc Dis. 2019 Oct;112(10):615-629. doi: 10.1016/j.acvd.2019.07.004. Epub 2019 Oct 10.

Abstract

Multimodality imaging plays an important role in the initial evaluation, diagnosis and management of patients suspected of having a cardiomyopathy. Beyond functional and anatomical information, multimodality imaging provides important variables that facilitate risk stratification and prognosis evaluation. Whatever the underlying suspected cardiomyopathy, echocardiography is the most common initial imaging test used to establish the presence of cardiomyopathy, by depicting structural and functional abnormalities. However, echocardiographic findings are non-specific, and therefore have a limited role in identifying the underlying aetiology. Cardiac magnetic resonance imaging allows characterization of myocardial tissue, which can be of great help in identifying the aetiology of the cardiomyopathy. When a specific aetiology is suspected, particularly inflammation, F-fluorodeoxyglucose positron emission tomography is recommended. The clinician should be capable of selecting the appropriate imaging techniques for each clinical scenario. Each technique has strengths and weaknesses, which should be known. In order to improve diagnostic performance, and as proposed by the European Association for Cardiovascular Imaging, cardiovascular imaging groups must be composed of experts from all modalities. The future of multimodality imaging in the diagnosis and management of cardiomyopathies will also involve evolution of its use in care, teaching and research. Training goals for future cardiac imaging experts must be defined; academic and industry partnerships should enable the connection to be made between imaging data and clinical data on the one hand and outcomes on the other hand, using big-data analysis and artificial intelligence.

摘要

多模态影像学在疑似心肌病患者的初始评估、诊断和管理中发挥着重要作用。除了功能和解剖学信息外,多模态影像学还提供了有助于风险分层和预后评估的重要变量。无论潜在的疑似心肌病如何,超声心动图都是最常用的初始影像学检查方法,用于通过描绘结构和功能异常来确定心肌病的存在。然而,超声心动图的发现是非特异性的,因此在确定潜在病因方面作用有限。心脏磁共振成像可以对心肌组织进行特征描述,这在确定心肌病的病因方面非常有帮助。当怀疑特定病因,特别是炎症时,建议使用 F-氟脱氧葡萄糖正电子发射断层扫描。临床医生应该能够为每个临床情况选择适当的影像学技术。每种技术都有其优势和劣势,这是必须了解的。为了提高诊断性能,正如欧洲心血管成像协会所建议的,心血管成像小组必须由来自所有模态的专家组成。多模态成像在心肌病的诊断和管理中的未来也将涉及在护理、教学和研究中使用的发展。必须为未来的心脏成像专家设定培训目标;学术和行业合作应能够将成像数据与临床数据以及使用大数据分析和人工智能的结果联系起来。

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