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 chest CT 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 ground-glass 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 patients mostly involve both lungs or multiple lobes, and the common manifestations 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 children with COVID-19 and can only be used as an auxiliary assessment tool.
Subject(s)
COVID-19/diagnostic imaging , Lung/diagnostic imaging , Thorax/diagnostic imaging , Tomography, X-Ray Computed/statistics & numerical data , Adolescent , Blister/diagnostic imaging , Blister/epidemiology , Blister/virology , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/virology , Child , Child, Preschool , Data Management , Female , Humans , Incidence , Infant , Lung/pathology , Lung/virology , Male , Pleural Effusion/diagnostic imaging , Pleural Effusion/epidemiology , Pleural Effusion/virology , Pneumothorax/diagnostic imaging , Pneumothorax/epidemiology , Retrospective Studies , SARS-CoV-2/genetics , Solitary Pulmonary Nodule/diagnostic imaging , Solitary Pulmonary Nodule/epidemiology , Solitary Pulmonary Nodule/virology , Tomography, X-Ray Computed/methods , Tomography, X-Ray Computed/trendsABSTRACT
Air samples were collected around industrial parks in Jiangsu, China, to allow the concentrations, profiles, and risk assessment of polybrominated dibenzo-p-dioxins and dibenzofurans (PBDD/Fs), polychlorinated naphthalenes (PCNs), and metals to be investigated. The concentrations of ΣPBDD/Fs and ΣPCNs were 1324.26-2080.98 fg/m3 (11.35-42.57 fg I-TEQ/m3) and 10,404.9-29,322.9 fg/m3 (1.32-7.19 fg I-TEQ/â¯m3), respectively. The highest concentration of ΣPBDD/Fs and ΣPCNs were observed at site C. PBDD/Fs were mainly dominated by PBDFs. The main contributor to the ΣPBDD/Fs in all samples was 1,2,3,4,6,7,8-HpBDF, which accounted for 25.75%-39.4%. For PCNs, the predominating homologues were tetra-, tri- and penta-CNs, which contributed 30.7%-43.3%, 24.7%-31.0%, and 10.6%-21.6%, respectively. As for metals, the pollution of As, Mn, Cr, and Ni in most samples exceeded National Ambient Air Quality Standards of China. Assessing the risk of inhalation exposure showed that there were potential carcinogenic risks to local residents.
Subject(s)
Dioxins , Polychlorinated Dibenzodioxins , Atmosphere , China , Dibenzofurans/analysis , Dibenzofurans, Polychlorinated/analysis , Dioxins/analysis , Environmental Monitoring , Humans , Naphthalenes , Polychlorinated Dibenzodioxins/analysis , Risk AssessmentABSTRACT
Concentrations and sources of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), dioxin-like polychlorinated biphenyls (dl-PCBs), and polycyclic aromatic hydrocarbons (PAHs) in a rural atmosphere near industrial zones in Jiangsu, China were determined and the associated risks were assessed. The concentrations of ΣPCDD/Fs, ΣPCBs, and ΣPAHs ranged from 11.9-57.7 pg·m-3, 0.58-2.71 pg m-3, and 11-18 ng m-3, respectively. Principal component analysis suggested that the contamination of air with PCDD/Fs and PCBs mainly originated from industrial activities and combustion processes. In contrast, the major source of PAHs was the combustion of petroleum, coal, and biomass. These data were used to estimate the exposure of the population living nearby to these persistent organic pollutants and to evaluate the non-carcinogenic and carcinogenic risks associated with their inhalation. Our study are likely to be helpful for developing and implementing regulation strategies for PCDD/Fs, dl-PCBs, and PAHs in the atmosphere around industrial and surrounding residential areas.
