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10.1038/s41598-020-76776-x

http://scihub22266oqcxt.onion/10.1038/s41598-020-76776-x
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suck abstract from ncbi


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pmid33184424      Sci+Rep 2020 ; 10 (1): 19649
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  • Temporal lung changes on thin-section CT in patients with COVID-19 pneumonia #MMPMID33184424
  • Zhang Z; Tang R; Sun H; Dai H; Chen K; Ye X; Ye W; Li S; Lan B; Li L; Ou CQ
  • Sci Rep 2020[Nov]; 10 (1): 19649 PMID33184424show ga
  • 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.
  • |*Tomography, X-Ray Computed[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*complications/epidemiology[MESH]
  • |Disease Progression[MESH]
  • |Female[MESH]
  • |Follow-Up Studies[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging/pathology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*complications/epidemiology[MESH]


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