Table 4 Univariate and bivariate analysis to predict pathological subtype using optimal cut-off values
Variable | Univariate | Bitivariate | |||||
|---|---|---|---|---|---|---|---|
Cut-off vale | OR | 95%CI | p value | OR | 95%CI | p value | |
GGO size | >13.50 | 15.944 | (9.453,26.894) | 0.000 | 2.413 | (0.845,6.812) | 0.093 |
Age | >58.50 | 1.860 | (1.208,2.862) | 0.005 | 1.650 | (0.872,3.136) | 0.106 |
CEA | >1.97 | 2.185 | (1.396,3.419) | 0.001 | 1.217 | (0.638,2.305) | 0.536 |
GGO type | mGGO | 2.569 | (2.026,3.258) | 0.000 | 1.446 | (0.917,2.283) | 0.112 |
Imaging feature | Bubble-like sign | 1.936 | (1.258,4.263) | 0.001 | 1.213 | (0.645,2.134) | 0.127 |
Five-factor combination | 0.69 | 313.679 | (107.5868.8) | 0.000 | 58.238 | (7.536,440.632) | 0.000* |