Baidu
map

2020 RSNA专家共识:COVID-19相关的胸部CT报告

2020-03-25 Radiol Cardiothorac Imaging.2020 Mar 25;2(2):e200152.

2020年3月,北美放射学会(RSNA)发布了COVID-19相关的胸部CT报告共识,本文的主要目的是协助放射科医生对于COVID-19肺炎的发现和报告。

中文标题:

2020 RSNA专家共识:COVID-19相关的胸部CT报告

英文标题:

Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19:

发布机构:

发布日期:

2020-03-25

简要介绍:

2020年3月,北美放射学会(RSNA)发布了COVID-19相关的胸部CT报告共识,本文的主要目的是协助放射科医生对于COVID-19肺炎的发现和报告。

 

相关资料下载:
[AttachmentFileName(sort=1, fileName=2020 RSNA专家共识:COVID-19相关的胸部CT报告.pdf)] GetToolGuiderByIdResponse(projectId=1, id=2444a1c00210037d, title=2020 RSNA专家共识:COVID-19相关的胸部CT报告, enTitle=Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19:, guiderFrom=Radiol Cardiothorac Imaging.2020 Mar 25;2(2):e200152., authorId=0, author=, summary=2020年3月,北美放射学会(RSNA)发布了COVID-19相关的胸部CT报告共识,本文的主要目的是协助放射科医生对于COVID-19肺炎的发现和报告。, cover=https://img.medsci.cn/2021518/1621268792506_2020535.jpg, journalId=0, articlesId=null, associationId=0, associationName=, associationIntro=, copyright=0, guiderPublishedTime=Wed Mar 25 00:00:00 CST 2020, originalUrl=, linkOutUrl=, content=<div class="one_info2" style="color: #373737;"> <div id="all_content"> <div class="editor_mirror editor_mirror_del"> <p>2020年3月,北美放射学会(RSNA)发布了COVID-19相关的胸部CT报告共识,本文的主要目的是协助放射科医生对于COVID-19肺炎的发现和报告。</p> </div> </div> </div> <div class="box_info" style="color: #373737;">&nbsp;</div>, tagList=[TagDto(tagId=8857, tagName=胸部CT)], categoryList=[CategoryDto(categoryId=12, categoryName=呼吸, tenant=100), CategoryDto(categoryId=40, categoryName=影像放射, tenant=100), CategoryDto(categoryId=85, categoryName=指南&解读, tenant=100), CategoryDto(categoryId=21100, categoryName=达仁堂循证e学界, tenant=100)], articleKeywordId=0, articleKeyword=, articleKeywordNum=6, guiderKeywordId=8857, guiderKeyword=胸部CT, guiderKeywordNum=6, haveAttachments=1, attachmentList=null, guiderType=0, guiderArea=共识, guiderLanguage=1, guiderRegion=4, opened=0, paymentType=, paymentAmount=10, recommend=0, recommendEndTime=null, sticky=0, stickyEndTime=null, allHits=2653, appHits=53, showAppHits=0, pcHits=354, showPcHits=2600, likes=1, shares=4, comments=3, approvalStatus=1, publishedTime=Tue May 18 00:40:50 CST 2021, publishedTimeString=2020-03-25, pcVisible=1, appVisible=1, editorId=2020535, editor=qiushida2, waterMark=0, formatted=0, memberCards=[], isPrivilege=0, deleted=0, version=2, createdBy=null, createdName=qiushida2, createdTime=Tue May 18 00:26:47 CST 2021, updatedBy=2020535, updatedName=qiushida2, updatedTime=Sat Jan 06 16:06:31 CST 2024, courseDetails=[], otherVersionGuiders=[], isGuiderMember=false, ipAttribution=, attachmentFileNameList=[AttachmentFileName(sort=1, fileName=2020 RSNA专家共识:COVID-19相关的胸部CT报告.pdf)])
2020 RSNA专家共识:COVID-19相关的胸部CT报告.pdf
下载请点击:
评论区 (2)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=967242, encodeId=9fef96e242ff, content=好文章!, beContent=null, objectType=guider, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Thu May 20 16:00:37 CST 2021, time=2021-05-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=967075, encodeId=174796e0752a, content=学习了, beContent=null, objectType=guider, channel=null, level=null, likeNumber=102, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210515/7df7f6cbd49042d4a6329ae70c7ad7b5/b120f34b2f8846ae821ba21ac1adeab3.jpg, createdBy=24324873661, createdName=1903329706, createdTime=Wed May 19 22:12:34 CST 2021, time=2021-05-19, status=1, ipAttribution=)]
    2021-05-20 jyzxjiangqin

    好文章!

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=967242, encodeId=9fef96e242ff, content=好文章!, beContent=null, objectType=guider, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Thu May 20 16:00:37 CST 2021, time=2021-05-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=967075, encodeId=174796e0752a, content=学习了, beContent=null, objectType=guider, channel=null, level=null, likeNumber=102, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210515/7df7f6cbd49042d4a6329ae70c7ad7b5/b120f34b2f8846ae821ba21ac1adeab3.jpg, createdBy=24324873661, createdName=1903329706, createdTime=Wed May 19 22:12:34 CST 2021, time=2021-05-19, status=1, ipAttribution=)]
    2021-05-19 1903329706

    学习了

    0

拓展阅读

胸部CT肺结节数据标注与质量控制专家共识(2018)

中华医学会放射学分会(CSR,chinese society of radiology) 心胸学组 · 2019-01-30

胸部CT扫描规范化专家共识

暂未更新 · 2020-02-28

2021 NICE 医疗技术创新简报:人工智能用于胸部CT图像分析【MIB243】

英国国家卫生与临床优化研究所(NICE,National Institute for Health and Clinical Excellence) · 2021-01-05

Baidu
map
Baidu
map
Baidu
map