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Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis
PURPOSE: To date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American College of Radiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151282/ https://www.ncbi.nlm.nih.gov/pubmed/32283052 http://dx.doi.org/10.1016/j.jacr.2020.03.006 |
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author | Bao, Cuiping Liu, Xuehuan Zhang, Han Li, Yiming Liu, Jun |
author_facet | Bao, Cuiping Liu, Xuehuan Zhang, Han Li, Yiming Liu, Jun |
author_sort | Bao, Cuiping |
collection | PubMed |
description | PURPOSE: To date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and the expected CT imaging manifestations. METHODS: Studies were identified by searching PubMed database for articles published between December 2019 and February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were estimated using a random-effect model. RESULTS: A total of 13 studies met inclusion criteria. The pooled positive rate of the CT imaging was 89.76% and 90.35% when only including thin-section chest CT. Typical CT signs were ground glass opacities (83.31%), ground glass opacities with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%), and lymphadenopathy (3.38%). The most anatomic distributions were bilateral lung infection (78.2%) and peripheral distribution (76.95%). The incidences were highest in the right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%), and left upper lobe (69.43%) were also commonly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had three or more lobes involved (70.81%). CONCLUSIONS: The detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially using thin-section chest CT. The most common CT features in patients affected by COVID-19 included ground glass opacities and consolidation involving the bilateral lungs in a peripheral distribution. |
format | Online Article Text |
id | pubmed-7151282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American College of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-71512822020-04-13 Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis Bao, Cuiping Liu, Xuehuan Zhang, Han Li, Yiming Liu, Jun J Am Coll Radiol Article PURPOSE: To date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and the expected CT imaging manifestations. METHODS: Studies were identified by searching PubMed database for articles published between December 2019 and February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were estimated using a random-effect model. RESULTS: A total of 13 studies met inclusion criteria. The pooled positive rate of the CT imaging was 89.76% and 90.35% when only including thin-section chest CT. Typical CT signs were ground glass opacities (83.31%), ground glass opacities with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%), and lymphadenopathy (3.38%). The most anatomic distributions were bilateral lung infection (78.2%) and peripheral distribution (76.95%). The incidences were highest in the right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%), and left upper lobe (69.43%) were also commonly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had three or more lobes involved (70.81%). CONCLUSIONS: The detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially using thin-section chest CT. The most common CT features in patients affected by COVID-19 included ground glass opacities and consolidation involving the bilateral lungs in a peripheral distribution. American College of Radiology 2020-06 2020-03-25 /pmc/articles/PMC7151282/ /pubmed/32283052 http://dx.doi.org/10.1016/j.jacr.2020.03.006 Text en © 2020 American College of Radiology. 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 Bao, Cuiping Liu, Xuehuan Zhang, Han Li, Yiming Liu, Jun Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title | Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title_full | Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title_fullStr | Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title_full_unstemmed | Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title_short | Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis |
title_sort | coronavirus disease 2019 (covid-19) ct findings: a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151282/ https://www.ncbi.nlm.nih.gov/pubmed/32283052 http://dx.doi.org/10.1016/j.jacr.2020.03.006 |
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