Author: Zhiqi Yang; Daiying Lin; Xiaofeng Chen; Jinming Qiu; Shengkai Li; Ruibin Huang; Hongfu Sun; Yuting Liao; Jianning Xiao; Yanyan Tang; Guorui Liu; Renhua Wu; Xiangguang Chen; Zhuozhi Dai
Title: Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features Document date: 2020_4_22
ID: ggwh91cc_40
Snippet: In conclusion, a total of 1537 lesions and 62 features were compared between COVID-19 and influenza pneumonia patients. Twenty-six features were significantly different between the two groups. In CT imaging, the crazy paving pattern was recognized as the most powerful feature in the differential diagnosis in the early stage, with AUC of 0.687 (95% CI: 0.611~0.764). In clinical manifestations, white blood cell count had the highest AUC of 0.811 (9.....
Document: In conclusion, a total of 1537 lesions and 62 features were compared between COVID-19 and influenza pneumonia patients. Twenty-six features were significantly different between the two groups. In CT imaging, the crazy paving pattern was recognized as the most powerful feature in the differential diagnosis in the early stage, with AUC of 0.687 (95% CI: 0.611~0.764). In clinical manifestations, white blood cell count had the highest AUC of 0.811 (95% CI: 0.731~0.890). These findings help to distinguish COVID-19 from influenza pneumonia.
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