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Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT

RATIONALE AND OBJECTIVES: To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. MATERIALS AND METHODS: Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists indepen...

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Autores principales: Guan, Chun Shuang, Lv, Zhi Bin, Yan, Shuo, Du, Yan Ni, Chen, Hui, Wei, Lian Gui, Xie, Ru Ming, Chen, Bu Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association of University Radiologists. Published by Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156158/
https://www.ncbi.nlm.nih.gov/pubmed/32204990
http://dx.doi.org/10.1016/j.acra.2020.03.002
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author Guan, Chun Shuang
Lv, Zhi Bin
Yan, Shuo
Du, Yan Ni
Chen, Hui
Wei, Lian Gui
Xie, Ru Ming
Chen, Bu Dong
author_facet Guan, Chun Shuang
Lv, Zhi Bin
Yan, Shuo
Du, Yan Ni
Chen, Hui
Wei, Lian Gui
Xie, Ru Ming
Chen, Bu Dong
author_sort Guan, Chun Shuang
collection PubMed
description RATIONALE AND OBJECTIVES: To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. MATERIALS AND METHODS: Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion. RESULTS: Fourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included “crazy-paving pattern” (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients. CONCLUSION: COVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area.
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spelling pubmed-71561582020-04-15 Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT Guan, Chun Shuang Lv, Zhi Bin Yan, Shuo Du, Yan Ni Chen, Hui Wei, Lian Gui Xie, Ru Ming Chen, Bu Dong Acad Radiol Article RATIONALE AND OBJECTIVES: To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. MATERIALS AND METHODS: Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion. RESULTS: Fourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included “crazy-paving pattern” (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients. CONCLUSION: COVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area. The Association of University Radiologists. Published by Elsevier Inc. 2020-05 2020-03-20 /pmc/articles/PMC7156158/ /pubmed/32204990 http://dx.doi.org/10.1016/j.acra.2020.03.002 Text en © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. 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 Article
Guan, Chun Shuang
Lv, Zhi Bin
Yan, Shuo
Du, Yan Ni
Chen, Hui
Wei, Lian Gui
Xie, Ru Ming
Chen, Bu Dong
Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title_full Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title_fullStr Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title_full_unstemmed Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title_short Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT
title_sort imaging features of coronavirus disease 2019 (covid-19): evaluation on thin-section ct
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156158/
https://www.ncbi.nlm.nih.gov/pubmed/32204990
http://dx.doi.org/10.1016/j.acra.2020.03.002
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