Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shi, Feng | - |
dc.contributor.author | Wei, Ying | - |
dc.contributor.author | Xia, Liming | - |
dc.contributor.author | Shan, Fei | - |
dc.contributor.author | Mo, Zhanhao | - |
dc.contributor.author | Yan, Fuhua | - |
dc.contributor.author | Shen, Dinggang | - |
dc.date.accessioned | 2021-08-30T04:33:58Z | - |
dc.date.available | 2021-08-30T04:33:58Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2021-01 | - |
dc.identifier.issn | 1201-9712 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/50217 | - |
dc.description.abstract | The 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.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shen, Dinggang | - |
dc.identifier.doi | 10.1016/j.ijid.2020.10.095 | - |
dc.identifier.scopusid | 2-s2.0-85096907258 | - |
dc.identifier.wosid | 000604702000057 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v.102, pp.316 - 318 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES | - |
dc.citation.title | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES | - |
dc.citation.volume | 102 | - |
dc.citation.startPage | 316 | - |
dc.citation.endPage | 318 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Infectious Diseases | - |
dc.relation.journalWebOfScienceCategory | Infectious Diseases | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | Community-Acquired pneumonia | - |
dc.subject.keywordAuthor | Non-Pneumonia subjects | - |
dc.subject.keywordAuthor | Lung | - |
dc.subject.keywordAuthor | Big data | - |
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