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Diagnostic value and key features of computed tomography in Coronavirus Disease 2019.pdf 953,02KB
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1000 Titel
  • Diagnostic value and key features of computed tomography in Coronavirus Disease 2019
1000 Autor/in
  1. Li, Bingjie |
  2. Li, Xin |
  3. Wang, Yaxuan |
  4. Han, Yikai |
  5. Wang, Yidi |
  6. Wang, Chen |
  7. Zhang, Guorui |
  8. Jin, Jianjun |
  9. Jia, Hongxia |
  10. Fan, Feifei |
  11. Ma, Wang |
  12. Liu, Hong |
  13. Zhou, Yue |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-04-23
1000 Erschienen in
1000 Quellenangabe
  • 9(1):787-793
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1080/22221751.2020.1750307 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191895/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Coronavirus Disease 2019
lokal computed tomography
lokal ground-glass opacity
lokal SARS-CoV-2
lokal diagnosis
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGksIEJpbmdqaWU=|https://frl.publisso.de/adhoc/uri/TGksIFhpbiA=|https://frl.publisso.de/adhoc/uri/V2FuZywgWWF4dWFu|https://frl.publisso.de/adhoc/uri/SGFuLCBZaWthaQ==|https://frl.publisso.de/adhoc/uri/V2FuZywgWWlkaQ==|https://frl.publisso.de/adhoc/uri/V2FuZywgQ2hlbg==|https://frl.publisso.de/adhoc/uri/WmhhbmcsIEd1b3J1aQ==|https://frl.publisso.de/adhoc/uri/SmluLCBKaWFuanVu|https://frl.publisso.de/adhoc/uri/SmlhLCBIb25neGlh|https://frl.publisso.de/adhoc/uri/RmFuLCBGZWlmZWk=|https://frl.publisso.de/adhoc/uri/TWEsIFdhbmc=|https://frl.publisso.de/adhoc/uri/TGl1LCBIb25n|https://frl.publisso.de/adhoc/uri/WmhvdSwgWXVl
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  1. Diagnostic value and key features of computed tomography in Coronavirus Disease 2019
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1000 @id frl:6420771.rdf
1000 Erstellt am 2020-05-12T07:12:32.431+0200
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1000 Zuletzt bearbeitet Tue May 12 07:40:31 CEST 2020
1000 Objekt bearb. Tue May 12 07:40:30 CEST 2020
1000 Vgl. frl:6420771
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