Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT.
Identifieur interne : 000072 ( PubMed/Corpus ); précédent : 000071; suivant : 000073Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT.
Auteurs : Chun Shuang Guan ; Zhi Bin Lv ; Shuo Yan ; Yan Ni Du ; Hui Chen ; Lian Gui Wei ; Ru Ming Xie ; Bu Dong ChenSource :
- Academic radiology [ 1878-4046 ] ; 2020.
Abstract
To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT.
DOI: 10.1016/j.acra.2020.03.002
PubMed: 32204990
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<author><name sortKey="Guan, Chun Shuang" sort="Guan, Chun Shuang" uniqKey="Guan C" first="Chun Shuang" last="Guan">Chun Shuang Guan</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Lv, Zhi Bin" sort="Lv, Zhi Bin" uniqKey="Lv Z" first="Zhi Bin" last="Lv">Zhi Bin Lv</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Yan, Shuo" sort="Yan, Shuo" uniqKey="Yan S" first="Shuo" last="Yan">Shuo Yan</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Du, Yan Ni" sort="Du, Yan Ni" uniqKey="Du Y" first="Yan Ni" last="Du">Yan Ni Du</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Chen, Hui" sort="Chen, Hui" uniqKey="Chen H" first="Hui" last="Chen">Hui Chen</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Wei, Lian Gui" sort="Wei, Lian Gui" uniqKey="Wei L" first="Lian Gui" last="Wei">Lian Gui Wei</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Xie, Ru Ming" sort="Xie, Ru Ming" uniqKey="Xie R" first="Ru Ming" last="Xie">Ru Ming Xie</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Chen, Bu Dong" sort="Chen, Bu Dong" uniqKey="Chen B" first="Bu Dong" last="Chen">Bu Dong Chen</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China. Electronic address: budongchen@sina.com.</nlm:affiliation>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT.</title>
<author><name sortKey="Guan, Chun Shuang" sort="Guan, Chun Shuang" uniqKey="Guan C" first="Chun Shuang" last="Guan">Chun Shuang Guan</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
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<author><name sortKey="Lv, Zhi Bin" sort="Lv, Zhi Bin" uniqKey="Lv Z" first="Zhi Bin" last="Lv">Zhi Bin Lv</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
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<author><name sortKey="Yan, Shuo" sort="Yan, Shuo" uniqKey="Yan S" first="Shuo" last="Yan">Shuo Yan</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
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<author><name sortKey="Du, Yan Ni" sort="Du, Yan Ni" uniqKey="Du Y" first="Yan Ni" last="Du">Yan Ni Du</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Chen, Hui" sort="Chen, Hui" uniqKey="Chen H" first="Hui" last="Chen">Hui Chen</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
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<author><name sortKey="Wei, Lian Gui" sort="Wei, Lian Gui" uniqKey="Wei L" first="Lian Gui" last="Wei">Lian Gui Wei</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
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<author><name sortKey="Xie, Ru Ming" sort="Xie, Ru Ming" uniqKey="Xie R" first="Ru Ming" last="Xie">Ru Ming Xie</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Chen, Bu Dong" sort="Chen, Bu Dong" uniqKey="Chen B" first="Bu Dong" last="Chen">Bu Dong Chen</name>
<affiliation><nlm:affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China. Electronic address: budongchen@sina.com.</nlm:affiliation>
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<series><title level="j">Academic radiology</title>
<idno type="eISSN">1878-4046</idno>
<imprint><date when="2020" type="published">2020</date>
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<front><div type="abstract" xml:lang="en">To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32204990</PMID>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>24</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1878-4046</ISSN>
<JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year>
<Month>Mar</Month>
<Day>20</Day>
</PubDate>
</JournalIssue>
<Title>Academic radiology</Title>
<ISOAbbreviation>Acad Radiol</ISOAbbreviation>
</Journal>
<ArticleTitle>Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">S1076-6332(20)30143-4</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.acra.2020.03.002</ELocationID>
<Abstract><AbstractText Label="RATIONALE AND OBJECTIVES" NlmCategory="OBJECTIVE">To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT.</AbstractText>
<AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Fourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included "crazy-paving pattern" (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">COVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area.</AbstractText>
<CopyrightInformation>Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Guan</LastName>
<ForeName>Chun Shuang</ForeName>
<Initials>CS</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China.</Affiliation>
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<Author ValidYN="Y"><LastName>Yan</LastName>
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<Author ValidYN="Y"><LastName>Du</LastName>
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<Author ValidYN="Y"><LastName>Chen</LastName>
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<Initials>BD</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China. Electronic address: budongchen@sina.com.</Affiliation>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Coronavirus</Keyword>
<Keyword MajorTopicYN="N">Lung</Keyword>
<Keyword MajorTopicYN="N">Multidetector computed tomography</Keyword>
<Keyword MajorTopicYN="N">Pneumonia</Keyword>
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