Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2.
Identifieur interne : 000C10 ( Ncbi/Merge ); précédent : 000C09; suivant : 000C11Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2.
Auteurs : Yu-Huan Xu [République populaire de Chine] ; Jing-Hui Dong [République populaire de Chine] ; Wei-Min An [République populaire de Chine] ; Xiao-Yan Lv [République populaire de Chine] ; Xiao-Ping Yin [République populaire de Chine] ; Jian-Zeng Zhang [République populaire de Chine] ; Li Dong [République populaire de Chine] ; Xi Ma [République populaire de Chine] ; Hong-Jie Zhang [République populaire de Chine] ; Bu-Lang Gao [République populaire de Chine]Source :
- The Journal of infection [ 1532-2742 ] ; 2020.
Abstract
To investigate the clinical and imaging characteristics of computed tomography (CT) in novel coronavirus pneumonia (NCP) caused by SARS-CoV-2.
DOI: 10.1016/j.jinf.2020.02.017
PubMed: 32109443
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<author><name sortKey="Gao, Bu Lang" sort="Gao, Bu Lang" uniqKey="Gao B" first="Bu-Lang" last="Gao">Bu-Lang Gao</name>
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<series><title level="j">The Journal of infection</title>
<idno type="eISSN">1532-2742</idno>
<imprint><date when="2020" type="published">2020</date>
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<front><div type="abstract" xml:lang="en">To investigate the clinical and imaging characteristics of computed tomography (CT) in novel coronavirus pneumonia (NCP) caused by SARS-CoV-2.</div>
</front>
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<pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">32109443</PMID>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>24</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-2742</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>80</Volume>
<Issue>4</Issue>
<PubDate><Year>2020</Year>
<Month>Apr</Month>
</PubDate>
</JournalIssue>
<Title>The Journal of infection</Title>
<ISOAbbreviation>J. Infect.</ISOAbbreviation>
</Journal>
<ArticleTitle>Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2.</ArticleTitle>
<Pagination><MedlinePgn>394-400</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0163-4453(20)30100-6</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jinf.2020.02.017</ELocationID>
<Abstract><AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">To investigate the clinical and imaging characteristics of computed tomography (CT) in novel coronavirus pneumonia (NCP) caused by SARS-CoV-2.</AbstractText>
<AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">A retrospective analysis was performed on the imaging findings of patients confirmed with COVID-19 pneumonia who had chest CT scanning and treatment after disease onset. The clinical and imaging data were analyzed.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Fifty patients were enrolled, including mild type in nine, common in 28, severe in 10 and critically severe in the rest three. Mild patients (29 years) were significantly (P<0.03) younger than either common (44.5 years) or severe (54.7) and critically severe (65.7 years) patients, and common patients were also significantly (P<0.03) younger than severe and critically severe patients. Mild patients had low to moderate fever (<39.1 °C), 49 (98%) patients had normal or slightly reduced leukocyte count, 14 (28%) had decreased counts of lymphocytes, and 26 (52%) patients had increased C-reactive protein. Nine mild patients were negative in CT imaging. For all the other types of NCP, the lesion was in the right upper lobe in 30 cases, right middle lobe in 22, right lower lobe in 39, left upper lobe in 33 and left lower lobe in 36. The lesion was primarily located in the peripheral area under the pleura with possible extension towards the pulmonary hilum. Symmetrical lesions were seen in 26 cases and asymmetrical in 15. The density of lesion was mostly uneven with ground glass opacity as the primary presentation accompanied by partial consolidation and fibrosis.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">CT imaging presentations of NCP are mostly patchy ground glass opacities in the peripheral areas under the pleura with partial consolidation which will be absorbed with formation of fibrotic stripes if improved. CT scanning provides important bases for early diagnosis and treatment of NCP.</AbstractText>
<CopyrightInformation>Copyright © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Yu-Huan</ForeName>
<Initials>YH</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dong</LastName>
<ForeName>Jing-Hui</ForeName>
<Initials>JH</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>An</LastName>
<ForeName>Wei-Min</ForeName>
<Initials>WM</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lv</LastName>
<ForeName>Xiao-Yan</ForeName>
<Initials>XY</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China. Electronic address: 15001008285@139.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yin</LastName>
<ForeName>Xiao-Ping</ForeName>
<Initials>XP</Initials>
<AffiliationInfo><Affiliation>CT/MRI Room, Affiliated Hospital of Hebei University, 212 Eastern Yuhua Road, Baoding, Hebei Province 071000, China. Electronic address: yinxiaoping78@sina.com.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Jian-Zeng</ForeName>
<Initials>JZ</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dong</LastName>
<ForeName>Li</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Baoding City People's Hospital, Baoding, Hebei Province 071000, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ma</LastName>
<ForeName>Xi</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>CT/MRI Room, Affiliated Hospital of Hebei University, 212 Eastern Yuhua Road, Baoding, Hebei Province 071000, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Hong-Jie</ForeName>
<Initials>HJ</Initials>
<AffiliationInfo><Affiliation>Clinical College, Hebei University, Boding, Hebei Province, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gao</LastName>
<ForeName>Bu-Lang</ForeName>
<Initials>BL</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, 100 West Fourth Ring Road, Fengtai District, Beijing 100039, China. Electronic address: browngao@163.com.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>02</Month>
<Day>25</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Infect</MedlineTA>
<NlmUniqueID>7908424</NlmUniqueID>
<ISSNLinking>0163-4453</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Computed tomography</Keyword>
<Keyword MajorTopicYN="N">Covid-19</Keyword>
<Keyword MajorTopicYN="N">Imaging finding</Keyword>
<Keyword MajorTopicYN="N">Novel coronavirus pneumonia</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
</KeywordList>
<CoiStatement>Declaration of Competing Interest None.</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>02</Month>
<Day>19</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>02</Month>
<Day>21</Day>
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<Month>2</Month>
<Day>29</Day>
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<name sortKey="Lv, Xiao Yan" sort="Lv, Xiao Yan" uniqKey="Lv X" first="Xiao-Yan" last="Lv">Xiao-Yan Lv</name>
<name sortKey="Ma, Xi" sort="Ma, Xi" uniqKey="Ma X" first="Xi" last="Ma">Xi Ma</name>
<name sortKey="Yin, Xiao Ping" sort="Yin, Xiao Ping" uniqKey="Yin X" first="Xiao-Ping" last="Yin">Xiao-Ping Yin</name>
<name sortKey="Zhang, Hong Jie" sort="Zhang, Hong Jie" uniqKey="Zhang H" first="Hong-Jie" last="Zhang">Hong-Jie Zhang</name>
<name sortKey="Zhang, Jian Zeng" sort="Zhang, Jian Zeng" uniqKey="Zhang J" first="Jian-Zeng" last="Zhang">Jian-Zeng Zhang</name>
</country>
</tree>
</affiliations>
</record>
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