Chest CT features in COVID-19 patients: A systematic review and meta-analysis

IF 0.4 Q4 CRITICAL CARE MEDICINE

Journal of Acute Disease Pub Date : 2021-09-01 DOI:10.4103/2221-6189.326907

M. Taghavi, A. Shokri, P. Niloofar, Salar Poorbarat, S. Mollazadeh, H. Milani

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引用次数: 2

Abstract

Objective: To derive the pooled estimate of chest computed tomography (CT) findings in coronavirus disease 2019 (COVID-19) patients. Methods: A comprehensive systematic search was conducted according to the PRISMA checklist from January 2020 to September 2020 in electronic databases including PubMed, Google Scholar, and Scopus based on search terms in title and texts. Original descriptive studies with epidemiological parameters of interest were included into the systematic review and meta-analysis. Results: Totally 54 articles comprised of 4 879 patients with a mean age of 49.05 years were eligible for this study. The pooled prevalence for abnormal CT images was 86.0%. Pooled prevalence for ground-glass opacity was 68.0%, 71.0% for bilateral abnormalities, 47.0% for mixed ground-glass opacity and consolidation and 29.0% for consolidation. In addition, 64.0% of lesions were peripheral, and 12.0% were central while 28.0% were both central and peripheral. Furthermore, 61.0% of lower lungs were involved, and 7.0% and 5.0% of the cases presented with pleural effusion and pericardial effusion, respectively. Besides, 11% of the cases showed lymphadenopathy, and 37% had air broncho gram sign. The pooled prevalence of other chest CT findings ranged from 8.0% to 65.0%. Conclusions: Chest CT can be used as predictive tools for the detection of COVID-19 disease along with clinical manifestations and the RT-PCR method.

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新冠肺炎患者胸部CT特征的系统回顾和荟萃分析

目的：推导2019冠状病毒病（新冠肺炎）患者胸部计算机断层扫描（CT）结果的汇总估计。方法：根据PRISMA检查表，于2020年1月至2020年9月在PubMed、Google Scholar和Scopus等电子数据库中根据标题和文本中的搜索词进行全面系统的搜索。将具有感兴趣的流行病学参数的原始描述性研究纳入系统综述和荟萃分析。结果：共有54篇文章，包括4879名患者，平均年龄49.05岁。异常CT图像的合并患病率为86.0%。毛玻璃样混浊的合并患病度为68.0%，双侧异常为71.0%，混合毛玻璃样不透明和实变为47.0%，实变为29.0%。此外，64.0%的病变为外周病变，12.0%为中心病变，28.0%为中心和外周病变。此外，61.0%的下肺受累，7.0%和5.0%的病例分别出现胸腔积液和心包积液。除此之外，11%的病例表现为淋巴结肿大，37%的病例表现出空气支气管征。其他胸部CT表现的合并患病率在8.0%至65.0%之间。结论：胸部CT可作为检测新冠肺炎疾病、临床表现和RT-PCR方法的预测工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Acute Disease CRITICAL CARE MEDICINE-

自引率

20.00%

发文量

652

审稿时长

12 weeks

期刊介绍： The articles published mainly deal with pre-hospital and hospital emergency medicine, cardiopulmonary-cerebral resuscitation, critical cardiovascular disease, sepsis, severe infection, multiple organ failure, acute and critical diseases in different medical fields, sudden cardiac arrest, Intensive Care Unit (ICU), critical care medicine, disaster rescue medicine (earthquakes, fires, floods, mine disaster, air crash, et al.), acute trauma, acute toxicology, acute heart disease, and related topics. JAD sets up columns for special subjects in each issue.