Selected article for: "correlation analysis and diagnostic performance"
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_26
    Snippet: The correlation analysis and diagnostic performance of CT features in distinguishing COVID-19 from influenza pneumonia were shown in Table 4 . In COVID-19 diagnosis, the crazy paving pattern achieved the highest correlation of 0.379 (P < 0.001), which had an AUC of 0.687 (95% CI: 0.611 ~ 0.764). Mixed GGO in peripheral area had a correlation of 0.320 (P < 0.001). The consolidation and pleural effusions were more common in influenza pneumonia comp.....
    Document: The correlation analysis and diagnostic performance of CT features in distinguishing COVID-19 from influenza pneumonia were shown in Table 4 . In COVID-19 diagnosis, the crazy paving pattern achieved the highest correlation of 0.379 (P < 0.001), which had an AUC of 0.687 (95% CI: 0.611 ~ 0.764). Mixed GGO in peripheral area had a correlation of 0.320 (P < 0.001). The consolidation and pleural effusions were more common in influenza pneumonia compared to COVID-19. The correlations for consolidation and for pleural effusions were -0.335 (P < 0.001) and -0.370 (P < 0.001), respectively. The typical CT imaging features of both diseases were illustrated in Figure 5 .

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