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The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies.
Virol J. 2020 10 21; 17(1):159.VJ

Abstract

OBJECTIVE

Aimed to summarize the characteristics of chest CT imaging in Chinese hospitalized patients with Coronavirus Disease 2019 (COVID-19) to provide reliable evidence for further guiding clinical routine.

METHODS

PubMed, Embase and Web of Science databases were searched to identify relevant articles involving the features of chest CT imaging in Chinese patients with COVID-19. All data were analyzed utilizing R i386 4.0.0 software. Random-effects models were employed to calculate pooled mean differences.

RESULTS

19 retrospective studies (1332 cases) were included. The results demonstrated that the combined proportion of ground-glass opacities (GGO) was 0.79 (95% CI 0.68, 0.89), consolidation was 0.34 (95% CI 0.23, 0.47); mixed GGO and consolidation was 0.46 (95% CI 0.37; 0.56); air bronchogram sign was 0.41 (95% CI 0.26; 0.55); crazy paving pattern was 0.32 (95% CI 0.17, 0.47); interlobular septal thickening was 0.55 (95% CI 0.42, 0.67); reticulation was 0.30 (95% CI 0.12, 0.48); bronchial wall thickening was 0.24 (95% CI 0.11, 0.40); vascular enlargement was 0.74 (95% CI 0.64, 0.86); subpleural linear opacity was 0.28 (95% CI 0.12, 0.48); intrathoracic lymph node enlargement was 0.03 (95% CI 0.00, 0.07); pleural effusions was 0.03 (95% CI 0.02, 0.06). The distribution in lung: the combined proportion of central was 0.05 (95% CI 0.01, 0.11); peripheral was 0.74 (95% CI 0.62, 0.84); peripheral involving central was 0.38 (95% CI 0.19, 0.75); diffuse was 0.19 (95% CI 0.06, 0.32); unifocal involvement was 0.09 (95% CI 0.05, 0.14); multifocal involvement was 0.57 (95% CI 0.48, 0.68); unilateral was 0.16 (95% CI 0.10, 0.23); bilateral was 0.83 (95% CI 0.78, 0.89); The combined proportion of lobes involved (> 2) was 0.70 (95% CI 0.61, 0.78); lobes involved (≦ 2) was 0.35 (95% CI 0.26, 0.44).

CONCLUSION

GGO, vascular enlargement, interlobular septal thickening more frequently occurred in patients with COVID-19, which distribution features were peripheral, bilateral, involved lobes > 2. Therefore, based on chest CT features of COVID-19 mentioned, it might be a promising means for identifying COVID-19.

Links

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Authors+Show Affiliations

Yang H
Department of Pulmonary and Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Dongjie Road No. 134, Fuzhou, 350001, Fujian, China.
Lan Y
Department of Pulmonary and Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Dongjie Road No. 134, Fuzhou, 350001, Fujian, China.
Yao X
Department of Pulmonary and Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Dongjie Road No. 134, Fuzhou, 350001, Fujian, China.
Lin S
Department of Pulmonary and Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Dongjie Road No. 134, Fuzhou, 350001, Fujian, China.
Xie B
Department of Pulmonary and Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Dongjie Road No. 134, Fuzhou, 350001, Fujian, China. xbaosong@126.com.

MeSH

AdolescentAdultAgedAged, 80 and overBetacoronavirusCOVID-19COVID-19 TestingChinaClinical Laboratory TechniquesCoronavirus InfectionsDatabases, FactualFemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedYoung Adult

Pub Type(s)

Journal Article
Meta-Analysis

Language

eng

PubMed ID

33087181

Citation

Yang, Haitao, et al. "The Chest CT Features of Coronavirus Disease 2019 (COVID-19) in China: a Meta-analysis of 19 Retrospective Studies." Virology Journal, vol. 17, no. 1, 2020, p. 159.
Yang H, Lan Y, Yao X, et al. The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies. Virol J. 2020;17(1):159.
Yang, H., Lan, Y., Yao, X., Lin, S., & Xie, B. (2020). The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies. Virology Journal, 17(1), 159. https://doi.org/10.1186/s12985-020-01432-9
Yang H, et al. The Chest CT Features of Coronavirus Disease 2019 (COVID-19) in China: a Meta-analysis of 19 Retrospective Studies. Virol J. 2020 10 21;17(1):159. PubMed PMID: 33087181.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies. AU - Yang,Haitao, AU - Lan,Yuzhu, AU - Yao,Xiujuan, AU - Lin,Sheng, AU - Xie,Baosong, Y1 - 2020/10/21/ PY - 2020/07/11/received PY - 2020/10/07/accepted PY - 2020/10/22/entrez PY - 2020/10/23/pubmed PY - 2020/11/6/medline KW - COVID-19 KW - Chest CT findings KW - Coronavirus KW - Meta-analysis SP - 159 EP - 159 JF - Virology journal JO - Virol J VL - 17 IS - 1 N2 - OBJECTIVE: Aimed to summarize the characteristics of chest CT imaging in Chinese hospitalized patients with Coronavirus Disease 2019 (COVID-19) to provide reliable evidence for further guiding clinical routine. METHODS: PubMed, Embase and Web of Science databases were searched to identify relevant articles involving the features of chest CT imaging in Chinese patients with COVID-19. All data were analyzed utilizing R i386 4.0.0 software. Random-effects models were employed to calculate pooled mean differences. RESULTS: 19 retrospective studies (1332 cases) were included. The results demonstrated that the combined proportion of ground-glass opacities (GGO) was 0.79 (95% CI 0.68, 0.89), consolidation was 0.34 (95% CI 0.23, 0.47); mixed GGO and consolidation was 0.46 (95% CI 0.37; 0.56); air bronchogram sign was 0.41 (95% CI 0.26; 0.55); crazy paving pattern was 0.32 (95% CI 0.17, 0.47); interlobular septal thickening was 0.55 (95% CI 0.42, 0.67); reticulation was 0.30 (95% CI 0.12, 0.48); bronchial wall thickening was 0.24 (95% CI 0.11, 0.40); vascular enlargement was 0.74 (95% CI 0.64, 0.86); subpleural linear opacity was 0.28 (95% CI 0.12, 0.48); intrathoracic lymph node enlargement was 0.03 (95% CI 0.00, 0.07); pleural effusions was 0.03 (95% CI 0.02, 0.06). The distribution in lung: the combined proportion of central was 0.05 (95% CI 0.01, 0.11); peripheral was 0.74 (95% CI 0.62, 0.84); peripheral involving central was 0.38 (95% CI 0.19, 0.75); diffuse was 0.19 (95% CI 0.06, 0.32); unifocal involvement was 0.09 (95% CI 0.05, 0.14); multifocal involvement was 0.57 (95% CI 0.48, 0.68); unilateral was 0.16 (95% CI 0.10, 0.23); bilateral was 0.83 (95% CI 0.78, 0.89); The combined proportion of lobes involved (> 2) was 0.70 (95% CI 0.61, 0.78); lobes involved (≦ 2) was 0.35 (95% CI 0.26, 0.44). CONCLUSION: GGO, vascular enlargement, interlobular septal thickening more frequently occurred in patients with COVID-19, which distribution features were peripheral, bilateral, involved lobes > 2. Therefore, based on chest CT features of COVID-19 mentioned, it might be a promising means for identifying COVID-19. SN - 1743-422X UR - https://www.unboundmedicine.com/medline/citation/33087181/The_chest_CT_features_of_coronavirus_disease_2019__COVID_19__in_China:_a_meta_analysis_of_19_retrospective_studies_ DB - PRIME DP - Unbound Medicine ER -