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.
Virol J. 2020 Oct 21;17(1):159. doi: 10.1186/s12985-020-01432-9.
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.
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.
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).
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.
总结中国住院的 2019 冠状病毒病(COVID-19)患者胸部 CT 影像学特征,为临床常规进一步提供可靠证据。
检索 PubMed、Embase 和 Web of Science 数据库,查找涉及中国 COVID-19 患者胸部 CT 影像学特征的相关文章。所有数据均利用 R i386 4.0.0 软件进行分析。采用随机效应模型计算合并均数差。
纳入 19 项回顾性研究(1332 例)。结果显示,磨玻璃影(GGO)的合并比例为 0.79(95%CI 0.68,0.89),实变影为 0.34(95%CI 0.23,0.47);GGO 与实变影混合存在的比例为 0.46(95%CI 0.37;0.56);空气支气管征为 0.41(95%CI 0.26;0.55);碎石路征为 0.32(95%CI 0.17,0.47);小叶间隔增厚为 0.55(95%CI 0.42,0.67);网状影为 0.30(95%CI 0.12,0.48);支气管壁增厚为 0.24(95%CI 0.11,0.40);血管增粗为 0.74(95%CI 0.64,0.86);肋胸膜下线影为 0.28(95%CI 0.12,0.48);胸腔内淋巴结肿大为 0.03(95%CI 0.00,0.07);胸腔积液为 0.03(95%CI 0.02,0.06)。肺部分布:中央区的合并比例为 0.05(95%CI 0.01,0.11);外周区为 0.74(95%CI 0.62,0.84);外周区累及中央区为 0.38(95%CI 0.19,0.75);弥漫性为 0.19(95%CI 0.06,0.32);单灶累及为 0.09(95%CI 0.05,0.14);多灶累及为 0.57(95%CI 0.48,0.68);单侧为 0.16(95%CI 0.10,0.23);双侧为 0.83(95%CI 0.78,0.89);累及肺叶数(>2)的合并比例为 0.70(95%CI 0.61,0.78);累及肺叶数(≦2)为 0.35(95%CI 0.26,0.44)。
COVID-19 患者中 GGO、血管增粗、小叶间隔增厚更为常见,其分布特征为外周、双侧、累及肺叶数>2。因此,基于 COVID-19 的胸部 CT 特征,这可能是识别 COVID-19 的一种有前途的手段。