Evidence map›Paper›PMID 39398816›Full record

ArticleCureus2024

Evaluating the Accuracy of Chest CT in Detecting COVID-19 Through Tracheobronchial Wall Thickness: Insights From Emergency Department Patients in Mid-2023.

Akiyuki Kotoku, Hiroki Horinouchi, Tatsuya Nishii, Midori Fukuyama, Yasutoshi Ohta, Tetsuya Fukuda

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Akiyuki KotokuRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Hiroki HorinouchiRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Tatsuya NishiiRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Midori FukuyamaRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Yasutoshi OhtaRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.
Tetsuya FukudaRadiology, National Cerebral and Cardiovascular Center, Suita, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The post-pandemic phase of the coronavirus infectious disease that emerged in 2019 (COVID-19) has necessitated updates in radiology, with emerging evidence suggesting tracheobronchial wall thickness as a potential new diagnostic marker. Purpose To evaluate the accuracy of chest computed tomography (CT) scans in identifying COVID-19 by assessing tracheobronchial wall thickness in mid-2023. Material and methods A retrospective review was conducted on 60 patients who underwent thoracoabdominal CT and the severe acute respiratory syndrome coronavirus (SARS-CoV-2) antigen tests during emergency visits between June and August 2023. Tracheobronchial wall thickness was measured using a 4-point scale (1=no thickening, 2=mild, 3=moderate, 4=significant). Lung assessment employed the COVID-19 Reporting and Data System (CO-RADS). Patients were classified based on antigen test results. The Mann-Whitney U test and Fisher's exact test compared characteristics and CT findings. Diagnostic performance was evaluated using the area under the receiver operating characteristic curves (AUC). Results The SARS-CoV-2-positive group showed significantly thicker tracheobronchial walls (median 1.5 mm vs. 1.2 mm, P < 0.001), especially in the trachea's membranous wall (median 1.2 mm vs. 0.9 mm, P < 0.001) and higher scores (median 3 vs. 2, P < 0.001). CO-RADS scores showed no significant difference. Quantitative and qualitative wall thickness assessments demonstrated high diagnostic value, with AUCs of 0.90 and 0.94, and accuracies of 85% and 87%, respectively. Conclusion Tracheobronchial wall thickness on chest CT exhibited high diagnostic accuracy, establishing it as a reliable marker for COVID-19 detection in mid-2023.

Indexed as

covid-19diagnostic imagingsars-cov-2tomographytracheax-ray computed

Identifiers

PMID39398816
PMCPMC11467821

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