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WeightNameValue
1000 Titel
  • Quantitative lung lesion features and temporal changes on chest CT in patients with common and severe SARS-CoV-2 pneumonia
1000 Autor/in
  1. Zhang, Yue |
  2. Liu, Ying |
  3. Gong, Honghan |
  4. Wu, Lin |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-24
1000 Erschienen in
1000 Quellenangabe
  • 15(7):e0236858
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0236858 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380626/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236858#sec012 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The purpose of this study was to describe the temporal evolution of quantitative lung lesion features on chest computed tomography (CT) in patients with common and severe types of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Records of patients diagnosed with SARS-CoV-2 pneumonia were reviewed retrospectively from 24 January 2020 to 15 March 2020. Patients were classified into common and severe groups according to the diagnostic criteria of severe pneumonia. The quantitative CT features of lung lesions were automatically calculated using artificial intelligence algorithms, and the percentages of ground-glass opacity volume (PGV), consolidation volume (PCV) and total lesion volume (PTV) were determined in both lungs. PGV, PCV and PTV were analyzed based on the time from the onset of initial symptoms in the common and severe groups. In the common group, PTV increased slowly and peaked at approximately 12 days from the onset of the initial symptoms. In the severe group, PTV peaked at approximately 17 days. The severe pneumonia group exhibited increased PGV, PCV and PTV compared with the common group. These features started to appear in Stage 2 (4–7 days from onset of initial symptoms) and were observed in all subsequent stages (p<0.05). In severe SARS-CoV-2 pneumonia patients, PGV, PCV and PTV began to significantly increase in Stage 2 and decrease in Stage 5 (22–30 days). Compared with common SARS-CoV-2 pneumonia patients, the patients in the severe group exhibited increased PGV, PCV and PTV as well as a later peak time of lesion and recovery time.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Virus testing
lokal Artificial intelligence
lokal Computed axial tomography
lokal Pneumonia
lokal Lesions
lokal SARS-CoV-2
lokal Diagnostic medicine
lokal Opacity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIFl1ZQ==|https://frl.publisso.de/adhoc/uri/TGl1LCBZaW5n|https://frl.publisso.de/adhoc/uri/R29uZywgSG9uZ2hhbg==|https://orcid.org/0000-0001-7449-9922
1000 Label
1000 Förderer
  1. Natural Science Foundation of Jiangxi Province |
  2. Jiangxi Health Committee |
  3. Education Department of Jiangxi Province |
1000 Fördernummer
  1. 2017BAB215048
  2. 20181020
  3. 700993003
1000 Förderprogramm
  1. -
  2. Science and Technology Project
  3. Science and Technology Research Project
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Natural Science Foundation of Jiangxi Province |
    1000 Förderprogramm -
    1000 Fördernummer 2017BAB215048
  2. 1000 joinedFunding-child
    1000 Förderer Jiangxi Health Committee |
    1000 Förderprogramm Science and Technology Project
    1000 Fördernummer 20181020
  3. 1000 joinedFunding-child
    1000 Förderer Education Department of Jiangxi Province |
    1000 Förderprogramm Science and Technology Research Project
    1000 Fördernummer 700993003
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6422413.rdf
1000 Erstellt am 2020-08-10T09:54:47.075+0200
1000 Erstellt von 122
1000 beschreibt frl:6422413
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2020-08-10T10:14:45.417+0200
1000 Objekt bearb. Mon Aug 10 09:55:46 CEST 2020
1000 Vgl. frl:6422413
1000 Oai Id
  1. oai:frl.publisso.de:frl:6422413 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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