Abstract
Background: There are few reports on the chest computed tomography (CT) imaging features of children with coronavirus disease 2019 (COVID-19), and most reports involve small sample sizes. Objectives: To systematically analyze the chestCT imaging features of children with COVID-19 and provide references for clinical practice. Data sources: We searched PubMed, Web of Science, and Embase; data published by Johns Hopkins University; and Chinese databases CNKI, Wanfang, and Chongqing Weipu. Methods: Reports on chest CT imaging features of children with COVID-19 from January 1, 2020 to August 10, 2020, were analyzed retrospectively and a meta-analysis carried out using Stata12.0 software. Results: Thirty-seven articles (1747 children) were included in this study. The heterogeneity of meta-analysis results ranged from 0% to 90.5%. The overall rate of abnormal lung CT findings was 63.2% (95% confidence interval [CI]: 55.8%-70.6%), with a rate of 61.0% (95% CI: 50.8%-71.2%) in China and 67.8%(95%CI: 57.1%-78.4%) in the rest of the world in the subgroup analysis. The incidence of groundglass opacities was 39.5% (95% CI: 30.7%-48.3%), multiple lung lobe lesions was 65.1% (95% CI: 55.1%-67.9%), and bilateral lung lesions was 61.5% (95% CI: 58.8%-72.2%). Other imaging features included nodules (25.7%), patchy shadows (36.8%), halo sign (24.8%), consolidation (24.1%), air bronchogram signs (11.2%), cord-like shadows (9.7%), crazy-paving pattern (6.1%), and pleural effusion (9.1%). Two articles reported 3 cases of white lung, another reported 2 cases of pneumothorax, and another 1 case of bullae. Conclusions: The lung CT results of children with COVID-19 are usually normal or slightly atypical. The lung lesions of COVID-19 pediatric patientsmostly involve both lungs ormultiple lobes, andthe commonmanifestations are patchy shadows, ground-glass opacities, consolidation, partial air bronchogram signs, nodules, and halo signs; white lung, pleural effusion, and paving stone signs are rare. Therefore, chest CT has limited value as a screening tool for childrenwith COVID-19 and can only be used as an auxiliary assessment tool.
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Wang, J. G., Mo, Y. F., Su, Y. H., Wang, L. C., Liu, G. B., Li, M., & Qin, Q. Q. (2021, September 24). Computed tomography features of COVID-19 in children A systematic review and meta-analysis. Medicine (United States). Lippincott Williams and Wilkins. https://doi.org/10.1097/MD.0000000000022571
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