Computed tomography imaging features of COVID-19 pneumonia: a systematic review and met analysis

Authors

  • Mona Salahi, Nazanin Zeynali, Rana Abbaszadeh, Rahele Alimoradzadeh, Sara Parviz

Keywords:

COVID-19, Ground-glass opacity, Computed tomography, CT scan

Abstract

Background and aim: the purpose of present study was evaluate Computed tomography imaging features of COVID-19 pneumonia.

Method: all articles published in international databases such as PubMed, Scopus, Science Direct, Embase between January 2019 and March 2022 included. Google Scholar search engine was used. Data analysis was performed using STATA.V16 software.

Result: In the initial search, 1065 studies were identified; full text of 149 articles was reviewed; finally ten articles entered the analysis. Effect size of Abnormal chest CT of COVID-19 pneumonia was 2.55 (ES; 95 CI (2.18, 2.92)). Effect size of Computed tomography imaging features was 0.99 (ES; 95 CI (0.58, 1.40)).

Conclusion: Computed tomography imaging helps in the early diagnosis of COVID-19 pneumonia, Hospitalized patients had significant Ground-glass opacity.

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Published

2022-04-12