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10.1016/j.diii.2021.05.006

http://scihub22266oqcxt.onion/10.1016/j.diii.2021.05.006
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34088635!8148573!34088635
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suck abstract from ncbi

pmid34088635      Diagn+Interv+Imaging 2021 ; 102 (9): 493-500
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  • Imaging of COVID-19: An update of current evidences #MMPMID34088635
  • Kato S; Ishiwata Y; Aoki R; Iwasawa T; Hagiwara E; Ogura T; Utsunomiya D
  • Diagn Interv Imaging 2021[Sep]; 102 (9): 493-500 PMID34088635show ga
  • Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported as a global emergency. As respiratory dysfunction is a major clinical presentation of COVID-19, chest computed tomography (CT) plays a central role in the diagnosis and management of patients with COVID-19. Recent advances in imaging approaches using artificial intelligence have been essential as a quantification and diagnostic tool to differentiate COVID-19 from other respiratory infectious diseases. Furthermore, cardiovascular involvement in patients with COVID-19 is not negligible and may result in rapid worsening of the disease and sudden death. Cardiac magnetic resonance imaging can accurately depict myocardial involvement in SARS-CoV-2 infection. This review summarizes the role of the radiology department in the management and the diagnosis of COVID-19, with a special emphasis on ultra-high-resolution CT findings, cardiovascular complications and the potential of artificial intelligence.
  • |*COVID-19/complications/diagnostic imaging[MESH]
  • |*Heart Diseases/virology[MESH]
  • |Artificial Intelligence[MESH]
  • |Humans[MESH]


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