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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Virol. Sep 25, 2022; 11(5): 331-340
Published online Sep 25, 2022. doi: 10.5501/wjv.v11.i5.331
Published online Sep 25, 2022. doi: 10.5501/wjv.v11.i5.331
Effect of age on computed tomography findings: Specificity and sensitivity in coronavirus disease 2019 infection
Erdal Karavas, Sonay Aydın, Erdem Fatihoglu, Department of Radiology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey
Edhem Unver, Gonul Seven Yalcin, Department of Pulmonology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey
Ufuk Kuyrukluyildiz, Department of Anesthesiology and Reanimation, Erzincan Binali Yıldırım University, Erzincan 24100, Turkey
Yusuf Kemal Arslan, Department of Biostatistics, Erzincan Binali Yildirim University, Erzincan 24100, Turkey
Mustafa Yazici, Department of Dermatology, Erzincan Binali Yildirim University, Erzincan 24100, Turkey
Author contributions: Karavaş E and Ünver E were responsible for the conceptualization, methodology, and project administration; Karavaş E did the writing-review & editing; Karavaş E, Aydin S, Yalçin GS, Fatihoglu E, Kuyrukluyildiz U, and Yazici M were responsible for the investigation and resources; Aydin S wrote the original draft; Aydin S and Arslan Y performed the data curation and formal analysis.
Institutional review board statement: The study was reviewed and approved by the Erzincan Binali Yildirim University Institutional Review Board (Approval No: 22/06/2020-06/04).
Informed consent statement: The Institutional Ethical Review Board waived informed consent due to the retrospective nature of the study procedure.
Conflict-of-interest statement: The authors whose names are listed immediately above certify that they have NO affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sonay Aydın, MD, Associate Professor, Department of Radiology, Erzincan Binali Yildirim University, Erzincan Binali Yıldırım Üniversitesi Tıp Fakültesi Dekanlığı Başbağlar Mahallesi 1429, Sokak No:2/1 24100 ERZİNCAN, Erzincan 24100, Turkey. sonay.aydin@erzincan.edu.tr
Received: April 24, 2022
Peer-review started: April 24, 2022
First decision: May 12, 2022
Revised: June 1, 2022
Accepted: August 25, 2022
Article in press: August 25, 2022
Published online: September 25, 2022
Processing time: 152 Days and 18.4 Hours
Peer-review started: April 24, 2022
First decision: May 12, 2022
Revised: June 1, 2022
Accepted: August 25, 2022
Article in press: August 25, 2022
Published online: September 25, 2022
Processing time: 152 Days and 18.4 Hours
Core Tip
Core Tip: Despite its high sensitivity for identifying coronavirus disease 2019 (COVID-19) pneumonia, the diagnostic potential of computed tomography findings has not been thoroughly investigated, particularly in relation to age subgroups. It is worth noting that the prevalence of COVID-19 pneumonia can vary by age. Even common results, such as ground glass opacities, can be reduced in younger individuals, particularly in the pediatric population. Additionally, the findings of this study may raise awareness about the proper use of computed tomography scans in children and contribute to radiation protection by limiting computed tomography scans in age groups with low sensitivity.