Distinguishing COVID-19 From Influenza Pneumonia in the Early Stage Through CT Imaging and Clinical Features.
Abstract | Background: Methods: Seventy-three patients with COVID-19 confirmed by real-time reverse transcription-polymerase chain reaction (RT-PCR) and 48 patients with influenza pneumonia confirmed by direct/indirect immunofluorescence antibody staining or RT-PCR were retrospectively reviewed. Clinical data including course of disease, age, sex, body temperature, clinical symptoms, total white blood cell (WBC) count, lymphocyte count, lymphocyte ratio, neutrophil count, neutrophil ratio, and C-reactive protein, as well as 22 qualitative and 25 numerical imaging features from non-contrast-enhanced chest CT images were obtained and compared between the COVID-19 and influenza pneumonia groups. Correlation tests between feature metrics and diagnosis outcomes were assessed. The diagnostic performance of each feature in differentiating COVID-19 from influenza pneumonia was also evaluated. Results: Seventy-three COVID-19 patients including 41 male and 32 female with mean age of 41.9 ± 14.1 and 48 influenza pneumonia patients including 30 male and 18 female with mean age of 40.4 ± 27.3 were reviewed. Temperature, WBC count, crazy paving pattern, pure GGO in peripheral area, pure GGO, lesion sizes (1-3 cm), emphysema, and pleural traction were significantly independent associated with COVID-19. The AUC of clinical-based model on the combination of temperature and WBC count is 0.880 (95% CI: 0.819-0.940). The AUC of radiological-based model on the combination of crazy paving pattern, pure GGO in peripheral area, pure GGO, lesion sizes (1-3 cm), emphysema, and pleural traction is 0.957 (95% CI: 0.924-0.989). The AUC of combined model based on the combination of clinical and radiological is 0.991 (95% CI: 0.980-0.999). Conclusion:
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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 |
Journal | Frontiers in microbiology
(Front Microbiol)
Vol. 13
Pg. 847836
( 2022)
ISSN: 1664-302X [Print] Switzerland |
PMID | 35602019
(Publication Type: Journal Article)
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Copyright | Copyright © 2022 Yang, Lin, Chen, Qiu, Li, Huang, Yang, Sun, Liao, Xiao, Tang, Chen, Zhang and Dai. |
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