Department of Radiodiagnosis and Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India; Department of Radiodiagnosis.
Department of Radiodiagnosis and Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India; Department of Radiodiagnosis.
Clin Imaging. 2021 Apr;72:75-82. doi: 10.1016/j.clinimag.2020.11.021. Epub 2020 Nov 11.
To evaluate pooled prevalence, sensitivity, and specificity of chest computed tomography (CT) and radiographic findings for novel coronavirus-2019 (COVID-19) pneumonia.
We performed systematic literature search in PubMed and Embase to identify articles reporting baseline imaging findings of COVID-19 pneumonia. The quality of the articles was assessed using NIH quality assessment tool for case series studies. The pooled prevalence, sensitivity, specificity, and diagnostic odds ratio of imaging findings were calculated.
Fifty-six studies (6007 patients, age, 2.1-70 years, 2887 females, 5762 CT, 396 radiographs,) were included. The mean interval between onset of symptoms and CT acquisition was 1-8 days. On CT, the pooled prevalence of ground glass opacities (GGO), GGO plus consolidation, and consolidation only was 66.9% (95% CI 60.8-72.4%), 44.9% (38.7-51.3%), and 32.1 (23.6-41.9%) respectively. Pooled sensitivity and specificity of GGO on CT was 73% (71%-80%) and 61% (41%-78%), respectively. For GGO plus consolidation and consolidation only, the pooled sensitivities/ specificities were 58% (48%-68%)/ 58% (41%-73%) and 49% (20%-78%)/ 56% (30%-78%), respectively. The pooled prevalence of GGO and consolidation on chest radiograph was 38.7% (22.2%-58.3%) and 46.9% (29.7%-64.9%), respectively. The diagnostic accuracy of radiographic findings could not be assessed due to small number of studies.
GGO on CT has the highest diagnostic performance for COVID-19 pneumonia, followed by GGO plus consolidation and consolidation only. However, the moderate to low sensitivity and specificity suggest that CT should not be used as the primary tool for diagnosis. Chest radiographic abnormalities are seen in half of the patients.
评估胸部计算机断层扫描(CT)和影像学对新型冠状病毒-2019(COVID-19)肺炎的总体患病率、敏感性和特异性。
我们在 PubMed 和 Embase 中进行了系统文献检索,以确定报告 COVID-19 肺炎基础影像学表现的文章。使用 NIH 病例系列研究质量评估工具评估文章的质量。计算影像学表现的总体患病率、敏感性、特异性和诊断比值比。
共纳入 56 项研究(6007 例患者,年龄 2.1-70 岁,女性 2887 例,6252 例 CT,396 例 X 线)。症状发作和 CT 采集之间的平均间隔为 1-8 天。在 CT 上,磨玻璃影(GGO)、GGO 合并实变和单纯实变的总体患病率分别为 66.9%(95%CI 60.8-72.4%)、44.9%(38.7-51.3%)和 32.1%(23.6-41.9%)。CT 上 GGO 的总体敏感性和特异性分别为 73%(71%-80%)和 61%(41%-78%)。对于 GGO 合并实变和单纯实变,总体敏感性/特异性分别为 58%(48%-68%)/58%(41%-73%)和 49%(20%-78%)/56%(30%-78%)。胸部 X 线摄影上 GGO 和实变的总体患病率分别为 38.7%(22.2%-58.3%)和 46.9%(29.7%-64.9%)。由于研究数量较少,无法评估影像学表现的诊断准确性。
CT 上的 GGO 对 COVID-19 肺炎具有最高的诊断性能,其次是 GGO 合并实变和单纯实变。然而,中度至低度的敏感性和特异性表明 CT 不应用于诊断。半数患者胸部 X 线摄影存在异常。