Predictive Computed Tomography and Clinical Features for Diagnosis of COVID-19 Pneumonia: Compared With Common Viral Pneumonia

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
Source: Journal of Computer Assisted Tomography - Category: Radiology Tags: THORACIC IMAGING Source Type: research