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CT平扫可发现肺栓塞?看看国外高手是怎么做到的

2019-06-12 孙丹雄 小小医生之有趣的医学

让我们通过病例来学习如何通过胸部CT来发现和诊断肺栓塞。

胸部高分辨CT平扫,可发现肺栓塞,甚至国外有高手在某些情况下直接拿来诊断肺栓塞。哎,看世界纷纷扰扰,刀光剑影,高手出招,总让人耳目一新。

今天把近期整理的文献和大家分享,期望与大家一起探讨。先上病例,我喜欢在病例分析中学习。

病例一

作者单位:Department of Radiology, Thoracic Imaging Section, San Francisco General Hospital(旧金山总医院)。



如图,高密度影的那一条。
不怕,有增强CT证实。



是不是很有趣。
再来一个图。



仔细看,有端倪。
增强CT可以核实。



很明显,患者做了CT平扫,我们要仔细阅片,发现可疑,及时增强CT,要不然就漏诊了。

上面图片的英文原版
↓↓↓



病例二

作者单位:Department of Radiology, University of Washington MedicalCenter, University of Washington School of Medicine(华盛顿医科大学)。

翠花上菜,学者上图。



发现嫌疑犯,立即逮捕。



增强CT对比,一目了然。



上面的患者,增强CT放大了。
下面是另外一个
↓↓↓



星号的地方。




再来一个





很明显:扯蛋肺栓塞。



没看够?
再来一个,让你一次看个够。





不光是肺栓塞,连主动脉夹层,都发现了。
牛。我来标记一下。





究竟是美国的设备好,还是他们认真仔细?两者相辅相成。生产工具很重要,人的努力也很重要。

另外,社会要和谐。

老外报道一例患者,门诊急诊CT平扫发现肺栓塞,但是患者危重,再次外出做增强CT很危险,别人直接高分辨CT诊断肺栓塞,直接治疗,病情缓解再出去检查。在中国,你懂的(抱歉:有些文献下载要钱,穷,没有下载到)。

病例三:

其实,我大中华也有医生用CT平扫发现可疑肺栓塞。

下面是上海交通大学的论文
↓↓↓



基本上看得到。

病例四:

再介绍一位牛人:首都医科大学,附属北京友谊医院,放射科主任医师,李铁一教授。以前买过一本他的书。当时在读研究生,刚好有点钱,就买了,可惜书太老,图像不清楚,但书写得很好。

2004年,李铁一教授就说了:对于不能使用对比剂或因非典型心肺症状而仅作平扫的病例,肺动脉CT平扫的异常密度改变能提示急性肺动脉栓塞的存在。



中国的扫描仪质量有待提高,各位意会一下。

文献五

国外有高手专门研究了CT平扫诊断肺栓塞的可靠程度。

高分辨CT平扫管腔内高密度征象诊断肺栓塞的敏感性36.0%, 特异性99.0%,阳性预测值90.0%,阴性预测值85.6% 。

高分辨CT平扫管腔内高密度征象诊断中心肺栓塞敏感性66.7%, 特异性99.1%。

另外,CT发现肺纹理减少,也要警惕肺栓塞。先来说说马赛克。

马赛克征象:由于气道疾病或肺血管性疾病,引起相邻的肺区血液灌注上的差别而出现的不均匀肺密度区,称马赛克灌注。

以图说话,下面都是马赛克,注意了
↓↓↓









马赛克是什么意思,
就是马赛克存在的意义?
如图:



假如CT平扫发现肺部某些地方血管稀疏,灌注不足,千万不要以为没事,有时候,就是肺栓塞,需要警惕。

马赛克,需要警惕肺栓塞,它是肺栓塞的间接表现。并且,在临床中,间断会遇到这样的情况。



至于典型的“倒三角”要考虑肺栓塞,这些太经典,我就不赘述。


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    2020-12-02 运动康复治疗师

    学习了,感谢

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=904129, encodeId=d76d90412975, content=学习了,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=96, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201208/2b12108564cd4f528b86fdc17f359da9/9dbfd74f6e6341f3b2033d7d8383f74b.jpg, createdBy=366d5418345, createdName=运动康复治疗师, createdTime=Wed Dec 02 08:31:47 CST 2020, time=2020-12-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900218, encodeId=517690021854, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdqq.qlogo.cn/qqapp/1103841572/19A78ACCA514A62ED89322FF8BE440FD/100, createdBy=3fd82549592, createdName=一叶,一菩提, createdTime=Wed Nov 18 16:16:05 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=893923, encodeId=070289392383, content=受益, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201019/bd6d2e6e6f694305bc0be2e1392cf1ce/e187adf778154291a9d464d8473e85fa.jpg, createdBy=2fbc5427229, createdName=ms3000002077686663, createdTime=Fri Oct 23 10:22:20 CST 2020, time=2020-10-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=881016, encodeId=1d7788101642, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=de3c5410793, createdName=蓝莓, createdTime=Sun Aug 30 19:16:01 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1519003, encodeId=66f11519003a4, content=<a href='/topic/show?id=44275455fd' target=_blank style='color:#2F92EE;'>#CT平扫#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5455, encryptionId=44275455fd, topicName=CT平扫)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=bb4811230693, createdName=shenxlcyp, createdTime=Fri Jun 14 07:48:00 CST 2019, time=2019-06-14, status=1, ipAttribution=)]
    2020-11-18 一叶,一菩提

    学习

    0

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    2020-10-23 ms3000002077686663

    受益

    0

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    2020-08-30 蓝莓

    学习

    0

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