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Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

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dc.contributor.authorShi, Feng-
dc.contributor.authorWei, Ying-
dc.contributor.authorXia, Liming-
dc.contributor.authorShan, Fei-
dc.contributor.authorMo, Zhanhao-
dc.contributor.authorYan, Fuhua-
dc.contributor.authorShen, Dinggang-
dc.date.accessioned2021-08-30T04:33:58Z-
dc.date.available2021-08-30T04:33:58Z-
dc.date.created2021-06-19-
dc.date.issued2021-01-
dc.identifier.issn1201-9712-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/50217-
dc.description.abstractThe ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19. (C) 2020 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.titleLung volume reduction and infection localization revealed in Big data CT imaging of COVID-19-
dc.typeArticle-
dc.contributor.affiliatedAuthorShen, Dinggang-
dc.identifier.doi10.1016/j.ijid.2020.10.095-
dc.identifier.scopusid2-s2.0-85096907258-
dc.identifier.wosid000604702000057-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v.102, pp.316 - 318-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF INFECTIOUS DISEASES-
dc.citation.titleINTERNATIONAL JOURNAL OF INFECTIOUS DISEASES-
dc.citation.volume102-
dc.citation.startPage316-
dc.citation.endPage318-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaInfectious Diseases-
dc.relation.journalWebOfScienceCategoryInfectious Diseases-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthorCommunity-Acquired pneumonia-
dc.subject.keywordAuthorNon-Pneumonia subjects-
dc.subject.keywordAuthorLung-
dc.subject.keywordAuthorBig data-
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