Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 Jun;17(6):701-709.
doi: 10.1016/j.jacr.2020.03.006. Epub 2020 Mar 25.

Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis

Affiliations
Meta-Analysis

Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis

Cuiping Bao et al. J Am Coll Radiol. 2020 Jun.

Abstract

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.

Keywords: COVID-19; CT imaging findings; ground glass opacities; meta-analysis; thin-section chest CT.

PubMed Disclaimer

Figures

Fig 1
Fig 1
Baseline CT images (a-d) of a 50 year-old man admitted for symptoms of fever for 1 day: there were multiple patchy ground-glass opacities in the left upper lobe and right lower lobe (a, b). Air bronchogram and crazy paving pattern can be seen (c). Lesions are located in the peripheral area of the lung (d).
Fig 2
Fig 2
Flowchart on the article selection process.
Fig 3
Fig 3
Forest plot of the studies for abnormal CT among presumed coronavirus disease 2019 infection. CI = confidence interval; ES = effect size.
Fig 4
Fig 4
Forest plot of the studies for CT findings (GGO, consolidation, GGO with mixed consolidation). CI = confidence interval; ES = effect size; GGO = ground-glass opacities.

Comment in

  • Tomographic Findings and Thrombogenic Effects of COVID-19.
    Mourão R, Correa D, Ventura N, Pereira R. Mourão R, et al. J Am Coll Radiol. 2020 Dec;17(12):1545. doi: 10.1016/j.jacr.2020.06.034. Epub 2020 Jul 13. J Am Coll Radiol. 2020. PMID: 32735918 Free PMC article. No abstract available.
  • [COVID-19 and pleural effusions].
    Underner M, Peiffer G, Perriot J, Jaafari N. Underner M, et al. Rev Mal Respir. 2021 Feb;38(2):219-221. doi: 10.1016/j.rmr.2021.01.007. Epub 2021 Jan 19. Rev Mal Respir. 2021. PMID: 33516596 Free PMC article. French. No abstract available.

References

    1. Nizzari M., Thellung S., Corsaro A. Neurodegeneration in Alzheimer disease: role of amyloid precursor protein and presenilin 1 intracellular signaling. J Toxicol. 2012;2012:187297. - PMC - PubMed
    1. Huang C., Wang Y., Li X. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. - PMC - PubMed
    1. Chen N., Zhou M., Dong X. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507–513. - PMC - PubMed
    1. Higgins J.P., Thompson S.G. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–1558. - PubMed
    1. Egger M., Davey Smith G., Schneider M. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–634. - PMC - PubMed

MeSH terms