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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association of University Radiologists. Published by Elsevier Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7156158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Association of University Radiologists. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
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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