Retrospective Study
Copyright ©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
Effect of age on computed tomography findings: Specificity and sensitivity in coronavirus disease 2019 infection
Erdal Karavas, Edhem Unver, Sonay Aydın, Gonul Seven Yalcin, Erdem Fatihoglu, Ufuk Kuyrukluyildiz, Yusuf Kemal Arslan, Mustafa Yazici
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
Abstract
BACKGROUND

Coronavirus disease 2019 (COVID-19) is a pandemic caused by the severe acute respiratory syndrome coronavirus in 2019. Although the real-time reverse tr-anscription PCR test for viral nucleic acids is the gold standard for COVID-19 diagnosis, computed tomography (CT) has grown in importance.

AIM

To evaluate the sensitivity and specificity of thoracic CT findings of COVID-19 pneumonia according to age groups.

METHODS

PCR and CT results from 411 patients were reviewed. The diagnosis of COVID-19 pneumonia was made by three radiologists. Lymphadenopathy, pericardial effusion, pleurisy, pleural thickening, pleural effusion, location features of the lesions, ground glass, consolidation, air bronchogram, vascular enlargement, bronchial dilatation, halo finding, inverted halo sign, nodularity, air bubble, subpleural band (curvilinear density), reticular density, crazy paving pattern, and fibrosis findings were recorded. The patients were divided into nine groups by decades while calculating the sensitivity, specificity, and diagnostic efficacy for CT positivity.

RESULTS

The mean age of the cases was 48.1 ± 22.7 years. The CT finding with the highest diagnostic power was ground glass. Vascular enlargement and bronchial dilatation followed ground glass. Peri-cardial effusion was the finding with the lowest diagnostic accuracy. The incidence of lymphadenopathy, pleurisy, pleural thickening, peripheral localization, bilateral, ground glass, vascular enlargement, bronchial dilatation, subpleural band, reticular density, crazy paving appearance, and fibrosis all increased increase significantly with age in patients with positive real-time reverse transcription PCR test.

CONCLUSION

There are few publications comparing sensitivity and specificity of thoracic CT findings according to age. In cases of COVID-19 pneumonia, there is an increase in the variety and frequency of CT findings with age, and parallel to this the sensitivity and specificity of the findings increase. COVID-19 cases in the pediatric age group have fewer lung findings than adults, and this situation decreases the diagnostic value of CT in pediatric patients.

Keywords: Thoracic computerized tomography, SARS-CoV-2, COVID-19, Diagnosis, Pediatric age

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.