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Eur Neurol:脑室周围白质高信号可预测其边缘梗死

2015-12-21 phylis 译 MedSci原创

背景:白质高信号(WMH)预测卒中和新的腔隙性梗死的发生;此外,WMH也影响梗死部位。这篇研究旨在确定WMH和急性腔隙性脑梗死之间的空间关系。方法:共有590名幕上区急性腔隙性梗死的患者。进行轴位和冠状位MRI评估梗死和WMH的四种情况:与WMH无接触(0级),接触不重叠(Ia级),部分重叠(Ib级)和完全重叠(II级)。此外,研究者定义Ia级,Ib级梗死定义为边缘部位梗死,并且调查其预测因子极其

背景:白质高信号(WMH)预测卒中和新的腔隙性梗死的发生;此外,WMH也影响梗死部位。这篇研究旨在确定WMH和急性腔隙性脑梗死之间的空间关系。

方法:共有590名幕上急性腔隙性脑梗死的患者。进行轴位和冠状位MRI评估梗死和WMH的四种情况:与WMH无接触(0级)、接触不重叠(Ia级)、部分重叠(Ib级)和完全重叠(II级)。此外,研究者定义Ia级,Ib级梗死定义为边缘部位梗死,并且调查其预测因子极其短期预后。

结果:47.9%(283)的患者为Ia级和Ib级(Ia级= 27.6%,IB级= 20.3%);51.5%(304)名为0级;只有0.5%(3)为II级。与非边缘梗死患者相比,边缘梗死患者的入院梗死面积较大,WMH较严重,NHISS分数较高,BI分数较低。边缘梗死患者出院分数也较低。皮质下白质梗死,弥散加权成像面积,脑室周围WMH及深部WMH是边缘梗死的预测因子。

结论:半数腔隙性脑梗死位于WMH边缘。脑室周围WMH和深部WMH是边缘局部梗死的预测因子。

原文出处:

Zhang X, Ding L, et al.  Spatial Relationship between Acute Lacunar Infarction and White Matter Hyperintensities. Eur Neurol.2015 Dec 9.


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    2016-01-10 docwu2019
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    2015-12-26 hixiaoluo

    值得收藏,学习,谢谢分享

    0

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  6. [GetPortalCommentsPageByObjectIdResponse(id=1765563, encodeId=40671e65563c6, content=<a href='/topic/show?id=252ae1803a3' target=_blank style='color:#2F92EE;'>#白质#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=83, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=71803, encryptionId=252ae1803a3, topicName=白质)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=778d36, createdName=柳叶一刀, createdTime=Wed May 04 11:52:00 CST 2016, time=2016-05-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1950792, encodeId=7afa1950e92eb, content=<a href='/topic/show?id=20101021e97e' target=_blank style='color:#2F92EE;'>#高信号#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=80, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=102179, encryptionId=20101021e97e, topicName=高信号)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=08e4137, createdName=meichuangyi, createdTime=Tue Aug 16 06:52:00 CST 2016, time=2016-08-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1999619, encodeId=ecf81999619c7, content=<a href='/topic/show?id=d5df12695e6' target=_blank style='color:#2F92EE;'>#Neurol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=68, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12695, encryptionId=d5df12695e6, topicName=Neurol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a12645, createdName=docwu2019, createdTime=Sun Jan 10 19:52:00 CST 2016, time=2016-01-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=48155, encodeId=98ca48155bc, content=值得收藏,学习,谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=157, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bc301610909, createdName=hixiaoluo, createdTime=Sat Dec 26 15:38:00 CST 2015, time=2015-12-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1417556, encodeId=0eef141e5565e, content=<a href='/topic/show?id=c667e181616' target=_blank style='color:#2F92EE;'>#白质高信号#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=66, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=71816, encryptionId=c667e181616, topicName=白质高信号)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=44693296090, createdName=zhangph, createdTime=Wed Dec 23 10:52:00 CST 2015, time=2015-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1630520, encodeId=d58e163052038, content=<a href='/topic/show?id=80f484805a4' target=_blank style='color:#2F92EE;'>#脑室#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=92, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=84805, encryptionId=80f484805a4, topicName=脑室)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=3eab21540873, createdName=tastas, createdTime=Wed Dec 23 10:52:00 CST 2015, time=2015-12-23, status=1, ipAttribution=)]
    2015-12-23 tastas

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