计算机断层扫描在COVID-19中的应用:系统综述和荟萃分析。

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Polish Journal of Radiology Pub Date : 2022-01-05 eCollection Date: 2022-01-01 DOI:10.5114/pjr.2022.112613
Pouya Mahdavi Sharif, Mehran Nematizadeh, Mahdia Saghazadeh, Amene Saghazadeh, Nima Rezaei
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引用次数: 8

摘要

目的:计算机断层扫描(CT)是新型冠状病毒病2019 (COVID-19)的常用诊断工具,类似于逆转录聚合酶链反应(RT-PCR)。由于RT-PCR的局限性,人们对CT扫描的可用性越来越感兴趣。本系统综述和荟萃分析旨在总结COVID-19 CT扫描特征的现有数据。材料和方法:我们在电子数据库中进行了系统检索,以查找2019年12月1日至2020年4月4日期间发表的符合条件的研究,这些研究调查了COVID-19患者的计算机断层扫描特征。所有预印本和同行评议的文章都包括在内。没有使用语言限制。对于比例数据,使用Freeman-Tukey双反正弦变换计算合并患病率,95%置信区间(CI)。结果:86项研究符合纳入meta分析的条件。7956例患者中,最常见的CT表现为双侧受累模式(78%;95% ci: 0.73-0.82;P < 0.001),超过一个肺叶受累(75%;95% ci: 0.68-0.82;p < 0.001),毛玻璃混浊(GGO) (73%;95% ci: 0.67-0.78;P < 0.001),以及体征的周边分布(69%;95% ci: 0.61-0.76;P < 0.001)。只有5%的患者CT扫描正常(95% CI:0.03-0.07;P < 0.001)。儿童患者(年龄< 18岁)CT表现不明显的比例较高(40%;95% ci: 0.27-0.55;P < 0.001)。亚组分析显示,重症或危重型COVID-19患者更容易发生胸腔积液(RR 7.77;95% ci: 3.97-15.18;p < 0.001)和合并(RR 3.13;95% ci: 1.57-6.23;P < 0.001)。COVID-19患者的CT结果与其他原因的肺炎患者相当,但实变发生率较低(RR 0.81;95% ci: 0.71-0.91;p < 0.001),出现GGO的风险更高(RR 1.45;95% ci: 1.13-1.86;P < 0.001)。双侧受累患者的死亡率略高(RR 3.19;95% ci: 1.07-9.49;P = 0.04)。结论:我们的研究结果表明,COVID-19与其他病毒性肺炎有一些共同的特征,尽管存在一些差异。它们通常表现为GGO,并伴有血管增厚、空气支气管征和实变。正常CT图像、淋巴结病变和胸腔积液并不常见。实变和胸腔积液与更严重的疾病有关。COVID-19肺炎与非COVID-19肺炎的CT表现不同。此外,它们因年龄、疾病严重程度和COVID-19患者的预后而异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Computed tomography scan in COVID-19: a systematic review and meta-analysis.

Computed tomography scan in COVID-19: a systematic review and meta-analysis.

Computed tomography scan in COVID-19: a systematic review and meta-analysis.

Computed tomography scan in COVID-19: a systematic review and meta-analysis.

Purpose: Computed tomography (CT) scan is a commonly used tool for the diagnosis of the novel coronavirus disease 2019 (COVID-19), similarly to reverse transcription-polymerase chain reaction (RT-PCR). Because of the limitations of RT-PCR, there is growing interest in the usability of the CT scan. The present systematic review and meta-analysis aims to summarize the available data on the CT scan features of COVID-19.

Material and methods: We conducted a systematic search in electronic databases to find eligible studies published between 1 December 2019 and 4 April 2020, which investigated the computed tomographic features of patients with COVID-19. All preprint and peer-reviewed articles were included. No language limitation was applied. For proportional data, pooled prevalence was calculated using a Freeman-Tukey double arcsine transformation, with a 95% confidence interval (CI).

Results: Eighty-six studies were eligible to be included in the meta-analysis. For 7956 patients, the most common CT findings were bilateral pattern of involvement (78%; 95% CI: 0.73-0.82; p < 0.001), involvement of more than 1 lobe (75%; 95% CI: 0.68-0.82; p < 0.001), ground-glass opacities (GGO) (73%; 95% CI: 0.67-0.78; p < 0.001), and peripheral distribution of signs (69%; 95% CI: 0.61-0.76; p < 0.001). Only 5% of patients had a normal CT scan (95% CI:0.03-0.07; p < 0.001). The proportion of paediatric patients (age < 18 years) with unremarkable CT findings was higher (40%; 95% CI: 0.27-0.55; p < 0.001). Subgroup analysis showed that patients with the severe or critical type of COVID-19 were more likely to have pleural effusion (RR 7.77; 95% CI: 3.97-15.18; p < 0.001) and consolidation (RR 3.13; 95% CI: 1.57-6.23; p < 0.001). CT results in patients with COVID-19 were comparable with those of people having pneumonia from other causes, except for the lower incidence of consolidation (RR 0.81; 95% CI: 0.71-0.91; p < 0.001) and higher risk of showing GGO (RR 1.45; 95% CI: 1.13-1.86; p < 0.001). The mortality rate was slightly higher in patients with bilateral involvement (RR 3.19; 95% CI: 1.07-9.49; p = 0.04).

Conclusions: Our study results show that COVID-19 shares some features with other viral types of pneumonia, despite some differences. They commonly present as GGO along with vascular thickening, air bronchogram and consolidations. Normal CT images, lymphadenopathies, and pleural effusions are not common. Consolidations and pleural effusions correlate with more severe disease. CT features are different between COVID-19 and non-COVID-19 pneumonia. Also, they differ by age, disease severity, and outcomes within COVID-19 patients.

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来源期刊
Polish Journal of Radiology
Polish Journal of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
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