Computed tomography lung lesions in coronavirus disease 2019 patients: a systematic review and met analysis


  • Elham Zarei, Zohre Joudaki, Hamideh Dinari Ghozhdi, Samira Hajisadeghi, Abolfazl Namazi


Computed tomography, COVID-19, lung lesions


Purpose: evaluate computed tomography lung lesions in coronavirus disease 2019 patients.

Method: The present study is a systematic review and meta-analysis (PRISMA guidelines) study based on information collected from regular search of Internet resources using logical functions between keywords in PubMed, Scopus, Science Direct, Embase and scholar. Google search engine, uses English keywords between January 2019 and March 2022. 95% confidence interval on effect size were done with random effect model and REML method. Meta-analysis was performed using STATA.V16 software. 

Results: general search for relevant sources was Computed tomography lung lesions and COVID-19, 561 articles, finally eleven articles that were published between January 2019 and March 2022 and met the inclusion criteria, entered the analysis. Effect size was 2.46 (ES; 95% confidence interval 2.22 to 2.70); 83.77% of COVID-19 patients had Abnormal CT. Effect size of Ground Glass Opacity was 2.27 (ES; 95% confidence interval 1.97 to 2.56).

Conclusion: one of the most important features of CT that has a high prevalence in COVID-19 patients is ground glass opacities; bilateral lung involvement is also seen in these patients.