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淋巴系统的磁共振成像与建模

Magnetic Resonance Imaging and Modeling of the Glymphatic System.

作者信息

Kaur Jasleen, Davoodi-Bojd Esmaeil, Fahmy Lara M, Zhang Li, Ding Guangliang, Hu Jiani, Zhang Zhenggang, Chopp Michael, Jiang Quan

机构信息

Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.

Department of Physics, Oakland University, Rochester, MI 48309, USA.

出版信息

Diagnostics (Basel). 2020 May 27;10(6):344. doi: 10.3390/diagnostics10060344.

Abstract

The glymphatic system is a newly discovered waste drainage pathway in the brain; it plays an important role in many neurological diseases. Ongoing research utilizing various cerebrospinal fluid tracer infusions, either directly or indirectly into the brain parenchyma, is investigating clearance pathways by using distinct imaging techniques. In the present review, we discuss the role of the glymphatic system in various neurological diseases and efflux pathways of brain waste clearance based on current evidence and controversies. We mainly focus on new magnetic resonance imaging (MRI) modeling techniques, along with traditional computational modeling, for a better understanding of the glymphatic system function. Future sophisticated modeling techniques hold the potential to generate quantitative maps for glymphatic system parameters that could contribute to the diagnosis, monitoring, and prognosis of neurological diseases. The non-invasive nature of MRI may provide a safe and effective way to translate glymphatic system measurements from bench-to-bedside.

摘要

胶质淋巴系统是大脑中一个新发现的废物排出途径;它在许多神经系统疾病中发挥着重要作用。目前正在进行的研究通过将各种脑脊液示踪剂直接或间接注入脑实质,利用不同的成像技术来研究清除途径。在本综述中,我们基于当前的证据和争议,讨论了胶质淋巴系统在各种神经系统疾病中的作用以及脑废物清除的流出途径。我们主要关注新的磁共振成像(MRI)建模技术以及传统的计算建模,以便更好地理解胶质淋巴系统的功能。未来先进的建模技术有可能生成胶质淋巴系统参数的定量图谱,这可能有助于神经系统疾病的诊断、监测和预后评估。MRI的非侵入性可能为将胶质淋巴系统测量从实验室转化到临床提供一种安全有效的方法。

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