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Predictive Computed Tomography and Clinical Features for Diagnosis of COVID-19 Pneumonia: Compared With Common Viral Pneumonia.
Zhou, Cuiping; Luo, Lin; Luo, Zhendong; Shen, Xinping.
  • Zhou C; From the Department of Radiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.
J Comput Assist Tomogr ; 44(5): 627-632, 2020.
Article in English | MEDLINE | ID: covidwho-1501243
ABSTRACT

OBJECTIVE:

To determine the predictive computed tomography (CT) and clinical features for diagnosis of COVID-19 pneumonia.

METHODS:

The CT and clinical data including were analyzed using univariate analysis and multinomial logistic regression, followed by receiver operating characteristic curve analysis.

RESULTS:

The factors including size of ground grass opacity (GGO), GGO with reticular and/or interlobular septal thickening, vascular enlargement, "tree-in-bud" opacity, centrilobular nodules, and stuffy or runny nose were associated with the 2 groups of viral pneumonia, as determined by univariate analysis (P < 0.05). Only GGO with reticular and/or interlobular septal thickening, centrilobular nodules, and stuffy or runny nose remained independent risk factors in multinomial logistic regression analysis. Receiver operating characteristic curve analysis showed that the area under curve of the obtained logistic regression model was 0.893.

CONCLUSION:

Computed tomography and clinical features including GGO with reticular and/or interlobular septal thickening, absence of centrilobular nodules, and absence of stuffy or runny nose are potential patients with COVID-19 pneumonia.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus / Lung Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Language: English Journal: J Comput Assist Tomogr Year: 2020 Document Type: Article Affiliation country: RCT.0000000000001100

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus / Lung Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Language: English Journal: J Comput Assist Tomogr Year: 2020 Document Type: Article Affiliation country: RCT.0000000000001100