Differences and prediction of imaging characteristics of COVID-19 and non-COVID-19 viral pneumonia: A multicenter study.
Medicine (Baltimore)
; 99(42): e22747, 2020 Oct 16.
Article
in English
| MEDLINE | ID: covidwho-933924
ABSTRACT
To study the differences in imaging characteristics and prediction of COVID-19 and non-COVID-19 viral pneumonia through chest CT.Chest CT data of 128 cases of COVID-19 and 47 cases of non-COVID-19 viral pneumonia confirmed by several hospitals were retrospectively collected, the imaging performance was evaluated and recorded, different imaging features were statistically analyzed, and a prediction model and independent predicted imaging features were obtained by multivariable analysis.COVID-19 was more likely than non-COVID-19 pneumonia to have a high-grade ground glass opacities (Pâ=â.01), extensive lesion distribution (Pâ<â.001), mixed lesions of varying sizes (27.7% vs 57.0%, Pâ=â.001), subpleural prominence (23.4% vs 86.7%, Pâ<â.001), and lower lobe prominence (48.9% vs 82.0%, Pâ<â.001). However, peribronchial interstitial thickening was more likely to occur in non-COVID-19 viral pneumonia (36.2% vs 19.5%, Pâ=â.022). The statistically significant differences from multivariable analysis were the degree of ground glass opacities (Pâ=â.001), lesion distribution (Pâ=â.045), lesion size (Pâ=â.020), subpleural prominence (Pâ<â.001), and lower lobe prominence (Pâ=â.041). The sensitivity and specificity of the model were 94.5% and 76.6%, respectively, with an AUC of 0.91.The imaging characteristics of COVID-19 and non-COVID-19 viral pneumonia are different, and the prediction model can further improve the specificity of chest CT diagnosis.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Tomography, X-Ray Computed
/
Coronavirus Infections
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Medicine (Baltimore)
Year:
2020
Document Type:
Article
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