Distinguishing COVID-19 From Influenza Pneumonia in the Early Stage Through CT Imaging and Clinical Features

• DOI: 10.3389/fmicb.2022.847836
• Publication Date: 2022-05-06T06:47:35Z
• Authors: Zhiqi Yang; Daiying Lin; Xiaofeng Chen; Jinming Qiu; Shengkai Li; Ruibin Huang; Zhijian Yang; Hongfu Sun; Yuting Liao; Jianning Xiao; Yanyan Tang; Xiangguang Chen; Sheng Zhang; Zhuozhi Dai
• Keywords: 2019-20 coronavirus outbreak; Pandemic; Betacoronavirus; Viral Pneumonia

Both coronavirus disease 2019 (COVID-19) and influenza pneumonia are highly contagious present with similar symptoms. We aimed to identify differences in CT imaging clinical features between COVID-19 the early stage most valuable differential diagnosis. Seventy-three patients confirmed by real-time reverse transcription-polymerase chain reaction (RT-PCR) 48 direct/indirect immunofluorescence antibody staining or RT-PCR were retrospectively reviewed. Clinical data including course of disease, age, sex, body temperature, symptoms, total white blood cell (WBC) count, lymphocyte ratio, neutrophil C-reactive protein, as well 22 qualitative 25 numerical from non-contrast-enhanced chest images obtained compared groups. Correlation tests feature metrics diagnosis outcomes assessed. The diagnostic performance each differentiating was also evaluated. 41 male 32 female mean age 41.9 ± 14.1 30 18 40.4 27.3 Temperature, WBC crazy paving pattern, pure GGO peripheral area, GGO, lesion sizes (1-3 cm), emphysema, pleural traction significantly independent associated COVID-19. AUC clinical-based model on combination temperature count is 0.880 (95% CI: 0.819-0.940). radiological-based 0.957 0.924-0.989). combined based radiological 0.991 0.980-0.999). can be distinguished features, highest 0.991, which crazy-paving pattern play important role