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A low-dose chest CT protocol for the diagnosis of COVID-19 pneumonia: a prospective study
Authors
B. Farhood
A. Gholamrezanezhad
+6 more
N. Mehri
H. Rahimi
H. Rajebi
R. Razzaghi
S.M.H. Tabatabaei
H. Talari
Publication date
1 January 2020
Publisher
'Springer Fachmedien Wiesbaden GmbH'
Abstract
Purpose: The increasing trend of chest CT utilization during the COVID-19 pandemic necessitates novel protocols with reduced dose and maintained diagnostic accuracy. We aimed to investigate the diagnostic accuracy of 30-mAs chest CT protocol in comparison with a 150-mAs standard-dose routine protocol for imaging of COVID-19 pneumonia. Methods: Upon IRB approval, consecutive laboratory-confirmed positive COVID-19 patients aged 50 years or older who were referred for chest CT scan and had same-day normal CXR were invited to participate in this prospective study. First, a standard-dose chest CT scan (150 mAs) was performed. Only if typical COVID-19 pneumonia features were identified, then a low-dose CT (30 mAs) was done immediately. Diagnostic accuracy of low-dose and standard-dose CT in the detection of typical COVID-19 pneumonia features were compared. Results: Twenty patients with a mean age of 64.20 ± 13.8 were enrolled in the study. There was excellent intrareader agreement in detecting typical findings of COVID-19 pneumonia between low-dose and standard-dose (intraclass correlation coefficient ICC = 0.98–0.99, P values < 0.001 all readers). The mean effective dose values in standard- and low-dose groups were 6.60 ± 1.47 and 1.80 ± 0.42 mSv, respectively. Also, absolute cancer risk per mean cumulative effective dose values obtained from the standard- and low-dose CT examinations were 2.71 × 10−4 and 0.74 × 10−4, respectively. Conclusions: According to our study, it was found that proposed low-dose CT chest protocol is reliable in detecting COVID-19 pneumonia in daily practice with significant reduction in radiation dose and estimated cancer risk. © 2020, American Society of Emergency Radiology
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kashan university of medical sciences
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Last time updated on 25/11/2020