• Users Online: 323
  • Print this page
  • Email this page
META-ANALYSIS
Year : 2021  |  Volume : 10  |  Issue : 5  |  Page : 179-189

Chest CT features in COVID-19 patients: A systematic review and meta-analysis


1 Vector-Borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran
2 Clinical Research Unit, Imam Hasan hospital, North Khorasan University of Medical Sciences, Bojnurd, Iran
3 Student Research Committee, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran
4 Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran
5 Department of Parasitology and Mycology, Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran

Correspondence Address:
Azar Shokri
Vector-Borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2221-6189.326907

Get Permissions

Objective: To derive the pooled estimate of chest computed tomography (CT) findings in coronavirus disease 2019 (COVID-19) patients. Methods: A comprehensive systematic search was conducted according to the PRISMA checklist from January 2020 to September 2020 in electronic databases including PubMed, Google Scholar, and Scopus based on search terms in title and texts. Original descriptive studies with epidemiological parameters of interest were included into the systematic review and meta-analysis. Results: Totally 54 articles comprised of 4 879 patients with a mean age of 49.05 years were eligible for this study. The pooled prevalence for abnormal CT images was 86.0%. Pooled prevalence for ground-glass opacity was 68.0%, 71.0% for bilateral abnormalities, 47.0% for mixed ground-glass opacity and consolidation and 29.0% for consolidation. In addition, 64.0% of lesions were peripheral, and 12.0% were central while 28.0% were both central and peripheral. Furthermore, 61.0% of lower lungs were involved, and 7.0% and 5.0% of the cases presented with pleural effusion and pericardial effusion, respectively. Besides, 11% of the cases showed lymphadenopathy, and 37% had air broncho gram sign. The pooled prevalence of other chest CT findings ranged from 8.0% to 65.0%. Conclusions: Chest CT can be used as predictive tools for the detection of COVID-19 disease along with clinical manifestations and the RT-PCR method.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed469    
    Printed0    
    Emailed0    
    PDF Downloaded78    
    Comments [Add]    

Recommend this journal