Early chest computed tomography to diagnose COVID-19 from suspected patients: A multicenter retrospective study
Detection Principle
Imaging-CT scan
Target
ground glass opacities (GGOs), crazy-paving pattern and air bronchogram
Testing Method Category
In_silico
Testing Method
To identify differences in CT imaging and clinical manifestations between pneumonia patients with and without COVID-19
Testing Method - Additional Info
Reported Performance
Remark: Sensitivity and specificity: The typical CT imaging features of the positive group were ground glass opacities (GGOs), the crazy-paving pattern and air bronchogram. The lesions were mostly distributed bilaterally and close to the lower lungs or the pleura. When features were combined, GGOs with bilateral pulmonary distribution and GGOs with pleural distribution were more common among the positive patients, 57.4% and 55.6%, respectively. The combinations were almost all statistically significant (P < .05), except for the combination of GGOs with consolidation. Most combinations presented relatively low sensitivity but extremely high specificity. The average specificity of these combinations was approximately 90%.
Sample Size
54 patients positive to covid and 76 patients negative
Assay Type
Peer-reviewed
yes
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