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_31
Snippet: Correlation analysis showed that the WBC count had the highest correlation (r = -0.526, P < 0.001), with a threshold of 6.435 × 10 9 /L, followed by neutrophil count (r = -0.500, P < 0.001). Four CT imaging features were identified as the most significant for differential diagnosis in the early stage of both diseases, including crazy paving pattern, mixed ground-glass opacity in peripheral area, pleural effusions, and consolidation......
Document: Correlation analysis showed that the WBC count had the highest correlation (r = -0.526, P < 0.001), with a threshold of 6.435 × 10 9 /L, followed by neutrophil count (r = -0.500, P < 0.001). Four CT imaging features were identified as the most significant for differential diagnosis in the early stage of both diseases, including crazy paving pattern, mixed ground-glass opacity in peripheral area, pleural effusions, and consolidation.
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