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实验性脑卒中的多模态 MRI 研究

Multimodal MRI of experimental stroke.

机构信息

Research Imaging Institute, Departments of Ophthalmology, Radiology and Physiology, University of Texas Health Science Center, 8403 Floyd Curl Dr, San Antonio, TX, 78229, USA,

出版信息

Transl Stroke Res. 2012 Mar;3(1):8-15. doi: 10.1007/s12975-011-0140-y. Epub 2011 Dec 14.

Abstract

Stroke is the fourth leading cause of death and the leading cause of long-term disability in USA. Brain imaging data from experimental stroke models and stroke patients have shown that there is often a gradual progression of potentially reversible ischemic injury toward infarction. Reestablishing tissue perfusion and/or treating with neuroprotective drugs in a timely fashion are expected to salvage some ischemic tissues. Diffusion-weighted imaging based on magnetic resonance imaging (MRI) in which contrast is based on water motion can detect ischemic injury within minutes after onsets, whereas computed tomography and other imaging modalities fail to detect stroke injury for at least a few hours. Along with quantitative perfusion imaging, the perfusion-diffusion mismatch which approximates the ischemic penumbra could be imaged noninvasively. This review describes recent progresses in the development and application of multimodal MRI and image analysis techniques to study ischemic tissue at risk in experimental stroke in rats.

摘要

在美国,中风是第四大致死原因,也是导致长期残疾的首要原因。来自实验性中风模型和中风患者的脑部影像数据表明,潜在的可逆转缺血性损伤通常会逐渐发展为梗死。及时恢复组织灌注和/或使用神经保护药物有望挽救一些缺血组织。基于磁共振成像(MRI)的弥散加权成像,其对比基于水的运动,可在发病后几分钟内检测到缺血性损伤,而计算机断层扫描和其他成像方式至少在数小时内无法检测到中风损伤。与定量灌注成像一起,可无创性地对灌注-弥散不匹配进行成像,这种不匹配近似于缺血半影区。本综述描述了多模态 MRI 和图像分析技术在研究大鼠实验性中风中缺血组织风险方面的最新进展。

相似文献

1
Multimodal MRI of experimental stroke.实验性脑卒中的多模态 MRI 研究
Transl Stroke Res. 2012 Mar;3(1):8-15. doi: 10.1007/s12975-011-0140-y. Epub 2011 Dec 14.
2
MRI in experimental stroke.实验性中风的磁共振成像
Methods Mol Biol. 2011;711:473-85. doi: 10.1007/978-1-61737-992-5_24.

本文引用的文献

1
Probing ischemic tissue fate with BOLD fMRI of brief oxygen challenge.利用短暂氧挑战的 BOLD fMRI 探测缺血组织命运
Brain Res. 2011 Nov 24;1425:132-41. doi: 10.1016/j.brainres.2011.09.052. Epub 2011 Oct 1.

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