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Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis.
J Am Coll Radiol. 2020 Jun; 17(6):701-709.JA

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.

Authors+Show Affiliations

Department of Radiology, Tianjin Union Medical Center, Tianjin, China.Department of Radiology, Tianjin Union Medical Center, Tianjin, China.Department of Radiology, Tianjin Union Medical Center, Tianjin, China.Department of Radiology, Tianjin Union Medical Center, Tianjin, China. Electronic address: riminglee@126.com.Department of Radiology, Tianjin Union Medical Center, Tianjin, China. Electronic address: cjr.liujun@vip.163.com.

Pub Type(s)

Journal Article
Meta-Analysis
Systematic Review

Language

eng

PubMed ID

32283052

Citation

Bao, Cuiping, et al. "Coronavirus Disease 2019 (COVID-19) CT Findings: a Systematic Review and Meta-analysis." Journal of the American College of Radiology : JACR, vol. 17, no. 6, 2020, pp. 701-709.
Bao C, Liu X, Zhang H, et al. Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis. J Am Coll Radiol. 2020;17(6):701-709.
Bao, C., Liu, X., Zhang, H., Li, Y., & Liu, J. (2020). Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis. Journal of the American College of Radiology : JACR, 17(6), 701-709. https://doi.org/10.1016/j.jacr.2020.03.006
Bao C, et al. Coronavirus Disease 2019 (COVID-19) CT Findings: a Systematic Review and Meta-analysis. J Am Coll Radiol. 2020;17(6):701-709. PubMed PMID: 32283052.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis. AU - Bao,Cuiping, AU - Liu,Xuehuan, AU - Zhang,Han, AU - Li,Yiming, AU - Liu,Jun, Y1 - 2020/03/25/ PY - 2020/03/05/received PY - 2020/03/11/revised PY - 2020/03/11/accepted PY - 2020/4/14/pubmed PY - 2020/6/18/medline PY - 2020/4/14/entrez KW - COVID-19 KW - CT imaging findings KW - ground glass opacities KW - meta-analysis KW - thin-section chest CT SP - 701 EP - 709 JF - Journal of the American College of Radiology : JACR JO - J Am Coll Radiol VL - 17 IS - 6 N2 - 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. SN - 1558-349X UR - https://www.unboundmedicine.com/medline/citation/32283052/Coronavirus_Disease_2019__COVID_19__CT_Findings:_A_Systematic_Review_and_Meta_analysis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1546-1440(20)30262-3 DB - PRIME DP - Unbound Medicine ER -