tetano
Editor, Senior Moderator
J Med Virol. 2020 Apr 21. doi: 10.1002/jmv.25910. [Epub ahead of print]
CT imaging features of 4,121 patients with COVID-19: a meta-analysis.
Zhu J[SUP]1[/SUP], Zhong Z[SUP]1[/SUP], Li H[SUP]1[/SUP], Ji P[SUP]1[/SUP], Pang J[SUP]1[/SUP], Li B[SUP]1[/SUP], Zhang J[SUP]1[/SUP].
Author information
Abstract
OBJECTIVE:
We systematically reviewed the CT imaging features of COVID-19 in order to provide reference for clinical practice.
METHODS:
Our article comprehensively searched PubMed, FMRS, EMbase, CNKI,WanFang databases and VIP databases to collect literatures about the CT imaging features of COVID-19 from 1 January 2020 to 16 March 2020. Three reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, and then, this meta-analysis was performed by using Stata12.0 software.
RESULTS:
34 retrospective studies involving a total of 4 121 COVID-19 patients were included. The results of meta-analysis showed that most patients presented bilateral lung involvement (73.8%, 95%CI: 65.9%-81.1%) or multilobar involvement (67.3%,95%CI: 54.8%-78.7 %) and just a little patients showed normal CT findings (8.4%). We found that the most common changes in lesion density was ground-glass opacities (68.1%,95%CI: 56.9%-78.2%). Other changes in density included air bronchogram sign(44.7%), crazy-paving pattern (35.6%) and consolidation (32.0%). Patchy (40.3%), spider web sign (39.5%), cord-like (36.8%) and nodular (20.5%) were common lesion shapes in COVID-19 patients. Pleural thickening (27.1%) was found in some patients. Lymphadenopathy(5.4%) and pleural effusion (5.3%) were rare.
CONCLUSION:
The lung lesions of patients with COVID-19 were mostly bilateral lungs or multilobar involved. The most common chest CT findings were patchy and ground-glass opacities. Some patients had air bronchogram, spider web sign and cord-like. Lymphadenopathy and pleural effusion were rare. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
KEYWORDS:
Computed tomography; Coronavirus disease 2019; Imaging features; Meta-analysis; Pneumonia; Systematical review
PMID:32314805DOI:10.1002/jmv.25910
CT imaging features of 4,121 patients with COVID-19: a meta-analysis.
Zhu J[SUP]1[/SUP], Zhong Z[SUP]1[/SUP], Li H[SUP]1[/SUP], Ji P[SUP]1[/SUP], Pang J[SUP]1[/SUP], Li B[SUP]1[/SUP], Zhang J[SUP]1[/SUP].
Author information
Abstract
OBJECTIVE:
We systematically reviewed the CT imaging features of COVID-19 in order to provide reference for clinical practice.
METHODS:
Our article comprehensively searched PubMed, FMRS, EMbase, CNKI,WanFang databases and VIP databases to collect literatures about the CT imaging features of COVID-19 from 1 January 2020 to 16 March 2020. Three reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, and then, this meta-analysis was performed by using Stata12.0 software.
RESULTS:
34 retrospective studies involving a total of 4 121 COVID-19 patients were included. The results of meta-analysis showed that most patients presented bilateral lung involvement (73.8%, 95%CI: 65.9%-81.1%) or multilobar involvement (67.3%,95%CI: 54.8%-78.7 %) and just a little patients showed normal CT findings (8.4%). We found that the most common changes in lesion density was ground-glass opacities (68.1%,95%CI: 56.9%-78.2%). Other changes in density included air bronchogram sign(44.7%), crazy-paving pattern (35.6%) and consolidation (32.0%). Patchy (40.3%), spider web sign (39.5%), cord-like (36.8%) and nodular (20.5%) were common lesion shapes in COVID-19 patients. Pleural thickening (27.1%) was found in some patients. Lymphadenopathy(5.4%) and pleural effusion (5.3%) were rare.
CONCLUSION:
The lung lesions of patients with COVID-19 were mostly bilateral lungs or multilobar involved. The most common chest CT findings were patchy and ground-glass opacities. Some patients had air bronchogram, spider web sign and cord-like. Lymphadenopathy and pleural effusion were rare. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
KEYWORDS:
Computed tomography; Coronavirus disease 2019; Imaging features; Meta-analysis; Pneumonia; Systematical review
PMID:32314805DOI:10.1002/jmv.25910