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10.1177/0846537120918834

http://scihub22266oqcxt.onion/10.1177/0846537120918834
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32306755!ä!32306755

suck abstract from ncbi


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pmid32306755      Can+Assoc+Radiol+J 2021 ; 72 (2): 279-284
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  • Clinical and Dynamic Computed Tomography Features of 24 Patients With Coronavirus Disease 2019 #MMPMID32306755
  • Jie B; Liu X; Suo H; Qiao G; Zheng Q; Xu W; Liu Z
  • Can Assoc Radiol J 2021[May]; 72 (2): 279-284 PMID32306755show ga
  • PURPOSE: To explore the clinical and dynamic computed tomography features of coronavirus disease 2019. METHODS: We enrolled 24 patients with coronavirus disease 2019 treated at a regional center in Dezhou, China, from January 22 to February 5, 2020, and analyzed data retrospectively. RESULTS: Nineteen cases had close contact with people with coronavirus disease 2019, and five patients denied a travel history in Wuhan City or contact with patients having coronavirus disease 2019. Symptoms were fever, cough, chest tightness, dyspnea, fatigue, and muscle pain. Chest computed tomography showed multiple ground-glass opacities distributed along peribronchial bundles and subpleural areas, often accompanied by bronchiectasis, vascular thickening, and interlobular septal thickening after coronavirus disease 2019 progression. CONCLUSIONS: Coronavirus disease 2019 has certain clinical characteristics and typical computed tomography features.
  • |*SARS-CoV-2[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/*diagnostic imaging[MESH]
  • |China[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Retrospective Studies[MESH]
  • |Tomography, X-Ray Computed/*methods[MESH]


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