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Imaging of COVID-19: An update of current evidences

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 mana...

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Autores principales: Kato, Shingo, Ishiwata, Yoshinobu, Aoki, Ryo, Iwasawa, Tae, Hagiwara, Eri, Ogura, Takashi, Utsunomiya, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Société française de radiologie. Published by Elsevier Masson SAS. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148573/
https://www.ncbi.nlm.nih.gov/pubmed/34088635
http://dx.doi.org/10.1016/j.diii.2021.05.006
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author Kato, Shingo
Ishiwata, Yoshinobu
Aoki, Ryo
Iwasawa, Tae
Hagiwara, Eri
Ogura, Takashi
Utsunomiya, Daisuke
author_facet Kato, Shingo
Ishiwata, Yoshinobu
Aoki, Ryo
Iwasawa, Tae
Hagiwara, Eri
Ogura, Takashi
Utsunomiya, Daisuke
author_sort Kato, Shingo
collection PubMed
description 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.
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spelling pubmed-81485732021-05-26 Imaging of COVID-19: An update of current evidences Kato, Shingo Ishiwata, Yoshinobu Aoki, Ryo Iwasawa, Tae Hagiwara, Eri Ogura, Takashi Utsunomiya, Daisuke Diagn Interv Imaging Review 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. Société française de radiologie. Published by Elsevier Masson SAS. 2021-09 2021-05-25 /pmc/articles/PMC8148573/ /pubmed/34088635 http://dx.doi.org/10.1016/j.diii.2021.05.006 Text en © 2021 Société française de radiologie. Published by Elsevier Masson SAS. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review
Kato, Shingo
Ishiwata, Yoshinobu
Aoki, Ryo
Iwasawa, Tae
Hagiwara, Eri
Ogura, Takashi
Utsunomiya, Daisuke
Imaging of COVID-19: An update of current evidences
title Imaging of COVID-19: An update of current evidences
title_full Imaging of COVID-19: An update of current evidences
title_fullStr Imaging of COVID-19: An update of current evidences
title_full_unstemmed Imaging of COVID-19: An update of current evidences
title_short Imaging of COVID-19: An update of current evidences
title_sort imaging of covid-19: an update of current evidences
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148573/
https://www.ncbi.nlm.nih.gov/pubmed/34088635
http://dx.doi.org/10.1016/j.diii.2021.05.006
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