Cargando…
Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis
BACKGROUND: Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland China are applicable to those found in patients out...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616120/ https://www.ncbi.nlm.nih.gov/pubmed/36311632 http://dx.doi.org/10.3389/fpubh.2022.939095 |
_version_ | 1784820581068177408 |
---|---|
author | Hou, Nianzong Wang, Lin Li, Mingzhe Xie, Bing He, Lu Guo, Mingyu Liu, Shuo Wang, Meiyu Zhang, Rumin Wang, Kai |
author_facet | Hou, Nianzong Wang, Lin Li, Mingzhe Xie, Bing He, Lu Guo, Mingyu Liu, Shuo Wang, Meiyu Zhang, Rumin Wang, Kai |
author_sort | Hou, Nianzong |
collection | PubMed |
description | BACKGROUND: Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland China are applicable to those found in patients outside. METHODS: Relevant studies were retrieved comprehensively by searching PubMed, Embase, and Cochrane Library databases before 15 April 2022. Quality assessment of diagnostic accuracy studies (QUADAS) was used to evaluate the quality of the included studies, which were divided into two groups according to whether they were in mainland China or outside. Data on diagnostic performance, unilateral or bilateral lung involvement, and typical chest CT imaging appearances were extracted, and then, meta-analyses were performed with R software to compare the CT features of COVID-19 pneumonia between patients from within and outside mainland China. RESULTS: Of the 8,258 studies screened, 19 studies with 3,400 patients in mainland China and 14 studies with 554 outside mainland China were included. Overall, the risk of quality assessment and publication bias was low. The diagnostic value of chest CT is similar between patients from within and outside mainland China (93, 91%). The pooled incidence of unilateral lung involvement (15, 7%), the crazy-paving sign (31, 21%), mixed ground-glass opacities (GGO) and consolidations (51, 35%), air bronchogram (44, 25%), vascular engorgement (59, 33%), bronchial wall thickening (19, 12%), and septal thickening (39, 26%) in patients from mainland China were significantly higher than those from outside; however, the incidence rates of bilateral lung involvement (75, 84%), GGO (78, 87%), consolidations (45, 58%), nodules (12, 17%), and pleural effusion (9, 15%) were significantly lower. CONCLUSION: Considering that the chest CT features of patients in mainland China may not reflect those of the patients abroad, radiologists and clinicians should be familiar with various CT presentations suggestive of COVID-19 in different regions. |
format | Online Article Text |
id | pubmed-9616120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96161202022-10-29 Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis Hou, Nianzong Wang, Lin Li, Mingzhe Xie, Bing He, Lu Guo, Mingyu Liu, Shuo Wang, Meiyu Zhang, Rumin Wang, Kai Front Public Health Public Health BACKGROUND: Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland China are applicable to those found in patients outside. METHODS: Relevant studies were retrieved comprehensively by searching PubMed, Embase, and Cochrane Library databases before 15 April 2022. Quality assessment of diagnostic accuracy studies (QUADAS) was used to evaluate the quality of the included studies, which were divided into two groups according to whether they were in mainland China or outside. Data on diagnostic performance, unilateral or bilateral lung involvement, and typical chest CT imaging appearances were extracted, and then, meta-analyses were performed with R software to compare the CT features of COVID-19 pneumonia between patients from within and outside mainland China. RESULTS: Of the 8,258 studies screened, 19 studies with 3,400 patients in mainland China and 14 studies with 554 outside mainland China were included. Overall, the risk of quality assessment and publication bias was low. The diagnostic value of chest CT is similar between patients from within and outside mainland China (93, 91%). The pooled incidence of unilateral lung involvement (15, 7%), the crazy-paving sign (31, 21%), mixed ground-glass opacities (GGO) and consolidations (51, 35%), air bronchogram (44, 25%), vascular engorgement (59, 33%), bronchial wall thickening (19, 12%), and septal thickening (39, 26%) in patients from mainland China were significantly higher than those from outside; however, the incidence rates of bilateral lung involvement (75, 84%), GGO (78, 87%), consolidations (45, 58%), nodules (12, 17%), and pleural effusion (9, 15%) were significantly lower. CONCLUSION: Considering that the chest CT features of patients in mainland China may not reflect those of the patients abroad, radiologists and clinicians should be familiar with various CT presentations suggestive of COVID-19 in different regions. Frontiers Media S.A. 2022-10-14 /pmc/articles/PMC9616120/ /pubmed/36311632 http://dx.doi.org/10.3389/fpubh.2022.939095 Text en Copyright © 2022 Hou, Wang, Li, Xie, He, Guo, Liu, Wang, Zhang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Hou, Nianzong Wang, Lin Li, Mingzhe Xie, Bing He, Lu Guo, Mingyu Liu, Shuo Wang, Meiyu Zhang, Rumin Wang, Kai Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title | Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title_full | Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title_fullStr | Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title_full_unstemmed | Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title_short | Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis |
title_sort | do covid-19 ct features vary between patients from within and outside mainland china? findings from a meta-analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616120/ https://www.ncbi.nlm.nih.gov/pubmed/36311632 http://dx.doi.org/10.3389/fpubh.2022.939095 |
work_keys_str_mv | AT hounianzong docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT wanglin docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT limingzhe docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT xiebing docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT helu docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT guomingyu docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT liushuo docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT wangmeiyu docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT zhangrumin docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis AT wangkai docovid19ctfeaturesvarybetweenpatientsfromwithinandoutsidemainlandchinafindingsfromametaanalysis |