The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies

Abstract

Objective 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. Methods 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. Results 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). Conclusion 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.

Computed tomographic features of coronavirus disease-2019 (COVID-19) pneumonia in three groups of Iranian patients: A single center study

“… 27 , 28 However, other special classic signs, including reverse halo sign, intralesional traction bronchiectasis and lymphadenopathy were rare. Similarly to our results, Yang et al, 29 reported the low frequency of the intrathoracic lymph node enlargement, pleural effusions, the lesion distribution in lung of central, unifocal, and unilateral.…”

Role of High Resolution Computed Tomography chest in the diagnosis and evaluation of COVID -19 patients -A systematic review and meta-analysis

“…, Bao C. et al[57], Zheng Y. et al[58], Zhu J. et al[59], Zhou X. et al[70], Homsi M. et al[71], and Yang H. et al[72] reported GGO to be 77 18. %, 83.31 %, 78 %, 68.1 %, 68 %, 71.70 %,and 79 % respectively.…”

Origin of COVID-19: Dismissing the Mojiang mine theory and the laboratory accident narrative

“…Typical COVID-19 radiological features are CT patterns of acute viral pneumonia including bilateral peripheral ground-glass opacities, crazy paving, air space consolidation, vascular enlargement, and reticulations. Importantly, mediastinal lymphadenopathies that were found in all cases, and pleural effusions or thickening reported in 4/6 cases, are extremely rare in COVID-19 patients with 0.03 combined proportions reported by meta-analysis ( Long et al, 2020 ; Yang et al, 2020 ). Radiological features of the two moderate cases 5 and 6 associated inflamed lymph nodes in mediastinum with chestnut shaped nodules in both lungs without any patterns of COVID-19.…”