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Computed tomography scan in COVID-19: a systematic review and meta-analysis

PURPOSE: Computed tomography (CT) scan is a commonly used tool for the diagnosis of the novel coronavirus disease 2019 (COVID-19), similarly to reverse transcription-polymerase chain reaction (RT-PCR). Because of the limitations of RT-PCR, there is growing interest in the usability of the CT scan. T...

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Autores principales: Sharif, Pouya Mahdavi, Nematizadeh, Mehran, Saghazadeh, Mahdia, Saghazadeh, Amene, Rezaei, Nima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814899/
https://www.ncbi.nlm.nih.gov/pubmed/35140824
http://dx.doi.org/10.5114/pjr.2022.112613
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author Sharif, Pouya Mahdavi
Nematizadeh, Mehran
Saghazadeh, Mahdia
Saghazadeh, Amene
Rezaei, Nima
author_facet Sharif, Pouya Mahdavi
Nematizadeh, Mehran
Saghazadeh, Mahdia
Saghazadeh, Amene
Rezaei, Nima
author_sort Sharif, Pouya Mahdavi
collection PubMed
description PURPOSE: Computed tomography (CT) scan is a commonly used tool for the diagnosis of the novel coronavirus disease 2019 (COVID-19), similarly to reverse transcription-polymerase chain reaction (RT-PCR). Because of the limitations of RT-PCR, there is growing interest in the usability of the CT scan. The present systematic review and meta-analysis aims to summarize the available data on the CT scan features of COVID-19. MATERIAL AND METHODS: We conducted a systematic search in electronic databases to find eligible studies published between 1 December 2019 and 4 April 2020, which investigated the computed tomographic features of patients with COVID-19. All preprint and peer-reviewed articles were included. No language limitation was applied. For proportional data, pooled prevalence was calculated using a Freeman-Tukey double arcsine transformation, with a 95% confidence interval (CI). RESULTS: Eighty-six studies were eligible to be included in the meta-analysis. For 7956 patients, the most common CT findings were bilateral pattern of involvement (78%; 95% CI: 0.73-0.82; p < 0.001), involvement of more than 1 lobe (75%; 95% CI: 0.68-0.82; p < 0.001), ground-glass opacities (GGO) (73%; 95% CI: 0.67-0.78; p < 0.001), and peripheral distribution of signs (69%; 95% CI: 0.61-0.76; p < 0.001). Only 5% of patients had a normal CT scan (95% CI:0.03-0.07; p < 0.001). The proportion of paediatric patients (age < 18 years) with unremarkable CT findings was higher (40%; 95% CI: 0.27-0.55; p < 0.001). Subgroup analysis showed that patients with the severe or critical type of COVID-19 were more likely to have pleural effusion (RR 7.77; 95% CI: 3.97-15.18; p < 0.001) and consolidation (RR 3.13; 95% CI: 1.57-6.23; p < 0.001). CT results in patients with COVID-19 were comparable with those of people having pneumonia from other causes, except for the lower incidence of consolidation (RR 0.81; 95% CI: 0.71-0.91; p < 0.001) and higher risk of showing GGO (RR 1.45; 95% CI: 1.13-1.86; p < 0.001). The mortality rate was slightly higher in patients with bilateral involvement (RR 3.19; 95% CI: 1.07-9.49; p = 0.04). CONCLUSIONS: Our study results show that COVID-19 shares some features with other viral types of pneumonia, despite some differences. They commonly present as GGO along with vascular thickening, air bronchogram and consolidations. Normal CT images, lymphadenopathies, and pleural effusions are not common. Consolidations and pleural effusions correlate with more severe disease. CT features are different between COVID-19 and non-COVID-19 pneumonia. Also, they differ by age, disease severity, and outcomes within COVID-19 patients.
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spelling pubmed-88148992022-02-08 Computed tomography scan in COVID-19: a systematic review and meta-analysis Sharif, Pouya Mahdavi Nematizadeh, Mehran Saghazadeh, Mahdia Saghazadeh, Amene Rezaei, Nima Pol J Radiol Review Paper PURPOSE: Computed tomography (CT) scan is a commonly used tool for the diagnosis of the novel coronavirus disease 2019 (COVID-19), similarly to reverse transcription-polymerase chain reaction (RT-PCR). Because of the limitations of RT-PCR, there is growing interest in the usability of the CT scan. The present systematic review and meta-analysis aims to summarize the available data on the CT scan features of COVID-19. MATERIAL AND METHODS: We conducted a systematic search in electronic databases to find eligible studies published between 1 December 2019 and 4 April 2020, which investigated the computed tomographic features of patients with COVID-19. All preprint and peer-reviewed articles were included. No language limitation was applied. For proportional data, pooled prevalence was calculated using a Freeman-Tukey double arcsine transformation, with a 95% confidence interval (CI). RESULTS: Eighty-six studies were eligible to be included in the meta-analysis. For 7956 patients, the most common CT findings were bilateral pattern of involvement (78%; 95% CI: 0.73-0.82; p < 0.001), involvement of more than 1 lobe (75%; 95% CI: 0.68-0.82; p < 0.001), ground-glass opacities (GGO) (73%; 95% CI: 0.67-0.78; p < 0.001), and peripheral distribution of signs (69%; 95% CI: 0.61-0.76; p < 0.001). Only 5% of patients had a normal CT scan (95% CI:0.03-0.07; p < 0.001). The proportion of paediatric patients (age < 18 years) with unremarkable CT findings was higher (40%; 95% CI: 0.27-0.55; p < 0.001). Subgroup analysis showed that patients with the severe or critical type of COVID-19 were more likely to have pleural effusion (RR 7.77; 95% CI: 3.97-15.18; p < 0.001) and consolidation (RR 3.13; 95% CI: 1.57-6.23; p < 0.001). CT results in patients with COVID-19 were comparable with those of people having pneumonia from other causes, except for the lower incidence of consolidation (RR 0.81; 95% CI: 0.71-0.91; p < 0.001) and higher risk of showing GGO (RR 1.45; 95% CI: 1.13-1.86; p < 0.001). The mortality rate was slightly higher in patients with bilateral involvement (RR 3.19; 95% CI: 1.07-9.49; p = 0.04). CONCLUSIONS: Our study results show that COVID-19 shares some features with other viral types of pneumonia, despite some differences. They commonly present as GGO along with vascular thickening, air bronchogram and consolidations. Normal CT images, lymphadenopathies, and pleural effusions are not common. Consolidations and pleural effusions correlate with more severe disease. CT features are different between COVID-19 and non-COVID-19 pneumonia. Also, they differ by age, disease severity, and outcomes within COVID-19 patients. Termedia Publishing House 2022-01-05 /pmc/articles/PMC8814899/ /pubmed/35140824 http://dx.doi.org/10.5114/pjr.2022.112613 Text en © Pol J Radiol 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Review Paper
Sharif, Pouya Mahdavi
Nematizadeh, Mehran
Saghazadeh, Mahdia
Saghazadeh, Amene
Rezaei, Nima
Computed tomography scan in COVID-19: a systematic review and meta-analysis
title Computed tomography scan in COVID-19: a systematic review and meta-analysis
title_full Computed tomography scan in COVID-19: a systematic review and meta-analysis
title_fullStr Computed tomography scan in COVID-19: a systematic review and meta-analysis
title_full_unstemmed Computed tomography scan in COVID-19: a systematic review and meta-analysis
title_short Computed tomography scan in COVID-19: a systematic review and meta-analysis
title_sort computed tomography scan in covid-19: a systematic review and meta-analysis
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814899/
https://www.ncbi.nlm.nih.gov/pubmed/35140824
http://dx.doi.org/10.5114/pjr.2022.112613
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