Abstract
The objective of this paper is to perform a meta‐analysis regarding the chest computed tomography (CT) manifestations of coronavirus disease‐2019 (COVID‐19) pneumonia patients. PubMed, Embase, and Cochrane Library databases were searched from 1 December 2019 to 1 May 2020 using the keywords of “COVID‐19 virus,” “the 2019 novel coronavirus,” “novel coronavirus,” and “COVID‐19.” Studies that evaluated the CT manifestations of common and severe COVID‐19 pneumonia were included. Among the 9736 searched results, 15 articles describing 1453 common patients and 697 severe patients met the inclusion criteria. Based on the CT images, the common patients were less frequent to exhibit consolidation (odds ratio [OR] = 0.31), pleural effusion (OR = 0.19), lymphadenopathy (OR = 0.17), crazy‐paving pattern (OR = 0.22), interlobular septal thickening (OR = 0.27), reticulation (OR = 0.20), traction bronchiectasis (OR = 0.40) with over two lobes involved (OR = 0.07) and central distribution (OR = 0.18) while more frequent to bear unilateral pneumonia (OR = 4.65) involving one lobe (OR = 13.84) or two lobes (OR = 6.95) when compared with severe patients. Other CT features including ground‐glass opacities (P = .404), air bronchogram (P = .070), nodule (P = .093), bronchial wall thickening (P = .15), subpleural band (P = .983), vascular enlargement (P = .207), and peripheral distribution (P = .668) did not have a significant association with the severity of the disease. No publication bias among the selected studies was suggested (Harbord's tests, P > .05 for all.) We obtained reliable estimates of the chest CT manifestations of COVID‐19 pneumonia patients, which might provide an important clue for the diagnosis and classification of COVID‐19 pneumonia.
Highlights
Since 1st December 2019, a cluster of pneumonia of unknown etiology, known as coronavirus disease‐2019 (COVID‐19), has been reported in Wuhan, Hubei province, China.[1]
The remaining six features did not exhibit an apparent association with the severity of disease: nodule (OR = 1.75; 95% confidence interval (CI) = 0.47‐6.56; P = .093), subpleural bands (OR = 0.99; 95% confidence interval (95% CI) = 0.52‐1.89; P = .983), ground‐glass opacity (GGO) (OR = 0.75; 95% CI = 0.58‐0.97; P = .404), vascular enlargement (OR = 0.51; 95% CI = 0.24‐1.10; P = .207), air bronchogram (OR = 0.16; 95% CI = 0.02‐1.16; P = .070), and bronchial wall thickening (OR = 0.15; 95% CI = 0.02‐1.12; P = .064)
Deep sequencing analysis of samples in respiratory tract confirmed that the cause of the pneumonia was a novel beta‐CoVs coronavirus (COVID‐19 virus)
Summary
Since 1st December 2019, a cluster of pneumonia of unknown etiology, known as coronavirus disease‐2019 (COVID‐19), has been reported in Wuhan, Hubei province, China.[1]. The chest computed tomography (CT) characteristics of common patients and severe patients with COVID‐19 pneumonia
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
