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脑血管畸形的常规和高级 MRI 评估。

Conventional and advanced MRI evaluation of brain vascular malformations.

机构信息

MRI Unit, Radiology Department, HT Medica, Jaén, Spain.

Servicio de Radiología, Hospital General Universitario de Alicante, Alicante, Spain.

出版信息

J Neuroimaging. 2021 May;31(3):428-445. doi: 10.1111/jon.12853. Epub 2021 Apr 15.

DOI:10.1111/jon.12853
PMID:33856735
Abstract

Vascular malformations (VMs) of the central nervous system (CNS) include a wide range of pathological conditions related to intra and extracranial vessel abnormalities. Although some VMs show typical neuroimaging features, other VMs share and overlap pathological and neuroimaging features that hinder an accurate differentiation between them. Hence, it is not uncommon to misclassify different types of VMs under the general heading of arteriovenous malformations. Thorough knowledge of the imaging findings of each type of VM is mandatory to avoid these inaccuracies. Conventional MRI sequences, including MR angiography, have allowed the evaluation of CNS VMs without using ionizing radiation. Newer MRI techniques, such as susceptibility-weighted imaging, black blood sequences, arterial spin labeling, and 4D flow imaging, have an added value of providing physiopathological data in real time regarding the hemodynamics of VMs. Beyond MR images, new insights using 3D printed models are being incorporated as part of the armamentarium for a noninvasive evaluation of VMs. In this paper, we briefly review the pathophysiology of CNS VMs, focusing on the MRI findings that may be helpful to differentiate them. We discuss the role of each conventional and advanced MRI sequence for VMs assessment and provide some insights about the value of structured reports of 3D printing to evaluate VMs.

摘要

中枢神经系统(CNS)血管畸形(VMs)包括一系列与颅内和颅外血管异常相关的广泛病理状况。尽管一些 VMs 显示出典型的神经影像学特征,但其他 VMs 具有共同的和重叠的病理和神经影像学特征,这阻碍了它们之间的准确区分。因此,将不同类型的 VMs 错误地归类为动静脉畸形并不罕见。为了避免这些不准确,必须彻底了解每种类型的 VMs 的影像学表现。包括磁共振血管造影在内的常规 MRI 序列已允许在不使用电离辐射的情况下评估 CNS VMs。新的 MRI 技术,如磁敏感加权成像、黑血序列、动脉自旋标记和 4D 流成像,具有提供有关 VMs 血流动力学的实时生理病理数据的附加价值。除了 MRI 图像之外,使用 3D 打印模型的新见解正在被纳入 CNS VMs 无创评估的武器库中。在本文中,我们简要回顾了 CNS VMs 的病理生理学,重点介绍了可能有助于区分它们的 MRI 发现。我们讨论了每种常规和高级 MRI 序列在 VMs 评估中的作用,并提供了一些关于 3D 打印结构化报告评估 VMs 的价值的见解。

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