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1000 Titel
  • Temporal lung changes on thin-section CT in patients with COVID-19 pneumonia
1000 Autor/in
  1. Zhang, Zhiyan |
  2. Tang, Runhui |
  3. Sun, Heyang |
  4. Dai, Haiyang |
  5. Chen, Kangyin |
  6. Ye, Xinmiao |
  7. Ye, Wei |
  8. Li, Shengkai |
  9. Lan, Bowen |
  10. Li, Li |
  11. Ou, Chun-Quan |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-11-12
1000 Erschienen in
1000 Quellenangabe
  • 10:19649
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41598-020-76776-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661534/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41598-020-76776-x#Sec31 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • We examined characteristics of chest CT across different time periods for patients with COVID-19 pneumonia in Huizhou, China. This study included 56 COVID-19 patients with abnormal CT acquired between January 22 and March 3, 2020. The 141 scans of 56 patients were classified into four groups (Groups 1–4) based on dates on which scans were obtained at the 1st, 2nd, 3rd week or longer than three weeks after illness onset. Forty-five patients with follow-up scans were categorized into four groups (Groups A–D) according to extent that lesions reduced (≥ 75%, 50–75%, 25–50% and < 25%). Ground-glass opacities (GGO) was prevalent in Groups 1–4 (58.1–82.6%), while percentages of consolidation ranged between 9.7% in Group 4 and 26.2% in Group 2. The highest frequency of fibrous stripes occurred in Group 3 (46.7%). Total CT scores were on average higher in Groups 2–3. Among 45 follow-up patients, 11 (24.4%) of them recovered with lesions reducing ≥ 75%, with the lowest median age and total CT scores on admission. There are temporal patterns of lung abnormalities in COVID-19 patients, with higher extent of lesion involvement occurring in the 2nd and 3rd week. Persisting lung changes indicate some patients may need isolation after discharge from hospital.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Infectious diseases
lokal Viral infection
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIFpoaXlhbg==|https://frl.publisso.de/adhoc/uri/VGFuZywgUnVuaHVp|https://frl.publisso.de/adhoc/uri/U3VuLCBIZXlhbmc=|https://frl.publisso.de/adhoc/uri/RGFpLCBIYWl5YW5n|https://frl.publisso.de/adhoc/uri/Q2hlbiwgS2FuZ3lpbiA=|https://frl.publisso.de/adhoc/uri/WWUsIFhpbm1pYW8=|https://frl.publisso.de/adhoc/uri/WWUsIFdlaQ==|https://frl.publisso.de/adhoc/uri/TGksIFNoZW5na2Fp|https://frl.publisso.de/adhoc/uri/TGFuLCBCb3dlbg==|https://frl.publisso.de/adhoc/uri/TGksIExp|https://frl.publisso.de/adhoc/uri/T3UsIENodW4tUXVhbg==
1000 Hinweis
  • A Publisher Correction to this article was published on 23 February 2021: https://www.nature.com/articles/s41598-021-84454-9 or https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901161/
1000 Label
1000 Förderer
  1. National Natural Science Foundation of China |
  2. China Postdoctoral Science Foundation |
1000 Fördernummer
  1. 82003555 ; 81973140
  2. 2020M672744 ; 2020TQ0135
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 82003555 ; 81973140
  2. 1000 joinedFunding-child
    1000 Förderer China Postdoctoral Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 2020M672744 ; 2020TQ0135
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6425732.rdf
1000 Erstellt am 2021-02-18T09:59:33.798+0100
1000 Erstellt von 5
1000 beschreibt frl:6425732
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-03-16T07:36:58.741+0100
1000 Objekt bearb. Tue Mar 16 07:36:33 CET 2021
1000 Vgl. frl:6425732
1000 Oai Id
  1. oai:frl.publisso.de:frl:6425732 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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