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Table 1 The predicting performance for CT signs model, radiomics model and combined model

From: CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia

Model

CT signs

Radiomics

CT signs + radiomics

Threshold

0.431

0.107

0.458

AUC (95% CI)

0.906 (0.86–0.953)

0.888 (0.8335–0.9417)

0.959 (0.930–0.987)

Sensitivity (95% CI)

0.865 (0.7774 to 0.9227)

0.865 (0.7774 to 0.9227)

0.899 (0.8168 to 0.9479)

Specificity (95% CI)

0.815 (0.7029 to 0.8927)

0.784 (0.6691 to 0.8683)

0.907 (0.8096 to 0.9603)

Positive prediction (95% CI)

0.865 (0.7774 to 0.9227)

0.846 (0.7569 to 0.9074)

0.930 (0.8532 to 0.9705)

Negative prediction (95% CI)

0.815 (0.7029 to 0.8927)

0.809 (0.6944 to 0.8891)

0.868 (0.7650 to 0.9310)

Accuracy (95% CI)

0.844 (0.7780 to 0.8936)

0.831 (0.7636 to 0.8826)

0.903 (0.8445 to 0.9411)

  1. AUC, area under curve