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Review

Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis

1
Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei 230026, China
2
Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
3
CAS Key Laboratory for Brain Function and Disease, Department of Neurobiology, University of Science and Technology of China, Hefei 230026, China
4
Department of Neuropharmacology, Faculty of Basic Medical Sciences, Abubakar Tafawa Balewa University, Bauchi 740272, Nigeria
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Department of Biomedical Engineering, Shenzhen University, Shenzhen 518060, China
6
Department of Electrical and Electronic Engineering, Adeleke University, Ede 232103, Nigeria
7
Department of Biochemistry, Federal University of Oye Ekiti, Oye 371104, Nigeria
8
Jihua Laboratory, Foshan 528000, China
*
Author to whom correspondence should be addressed.
Diagnostics 2020, 10(12), 1023; https://doi.org/10.3390/diagnostics10121023
Received: 13 October 2020 / Revised: 16 November 2020 / Accepted: 26 November 2020 / Published: 28 November 2020
Background: The pooled prevalence of chest computed tomography (CT) abnormalities and other detailed analysis related to patients’ biodata like gender and different age groups have not been previously described for patients with coronavirus disease 2019 (COVID-19), thus necessitating this study. Objectives: To perform a meta-analysis to evaluate the diagnostic performance of chest CT, common CT morphological abnormalities, disease prevalence, biodata information, and gender prevalence of patients. Methods: Studies were identified by searching PubMed and Science Direct libraries from 1 January 2020 to 30 April 2020. Pooled CT positive rate of COVID-19 and RT-PCR, CT-imaging features, history of exposure, and biodata information were estimated using the quality effect (QE) model. Results: Out of 36 studies included, the sensitivity was 89% (95% CI: 80–96%) and 98% (95% CI: 90–100%) for chest CT and reverse transcription-polymerase chain reaction (RT-PCR), respectively. The pooled prevalence across lesion distribution were 72% (95% CI: 62–80%), 92% (95% CI: 84–97%) for lung lobe, 88% (95% CI: 81–93%) for patients with history of exposure, and 91% (95% CI: 85–96%) for patients with all categories of symptoms. Seventy-six percent (95% CI: 67–83%) had age distribution across four age groups, while the pooled prevalence was higher in the male with 54% (95% CI: 50–57%) and 46% (95% CI: 43–50%) in the female. Conclusions: The sensitivity of RT-PCR was higher than chest CT, and disease prevalence appears relatively higher in the elderly and males than children and females, respectively. View Full-Text
Keywords: age distribution; computed tomography; COVID-19; prevalence; meta-analysis age distribution; computed tomography; COVID-19; prevalence; meta-analysis
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MDPI and ACS Style

Komolafe, T.E.; Agbo, J.; Olaniyi, E.O.; Komolafe, K.; Yang, X. Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis. Diagnostics 2020, 10, 1023. https://doi.org/10.3390/diagnostics10121023

AMA Style

Komolafe TE, Agbo J, Olaniyi EO, Komolafe K, Yang X. Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis. Diagnostics. 2020; 10(12):1023. https://doi.org/10.3390/diagnostics10121023

Chicago/Turabian Style

Komolafe, Temitope E., John Agbo, Ebenezer O. Olaniyi, Kayode Komolafe, and Xiaodong Yang. 2020. "Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis" Diagnostics 10, no. 12: 1023. https://doi.org/10.3390/diagnostics10121023

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