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. 2019 Aug;31(4):641–652. doi: 10.21147/j.issn.1000-9604.2019.04.08

3.

Logistic regression prediction models developed in development cohort

Variables RPRS Clinical model
Coefficient OR (95% CI) P Coefficient OR (95% CI) P
CT, computed tomography; LN, lymph node; RPRS, radiomics-based predictive risk score; OR, odds ratio; 95% CI, 95% confidence interval; NA, not applicable.
Age group −0.659 0.517
(0.316, 0.846)
0.009 −0.622 0.537
(0.333, 0.866)
0.011
Tumor diameter 0.581 1.788
(1.077, 2.969)
0.025 0.750 2.117
(1.294, 3.463)
0.003
Tumor location 1.624 5.073
(2.835, 9.079)
<0.001 1.742 5.710
(3.219, 10.128)
<0.001
CT-based LN status 0.678 1.970
(1.184, 3.276)
0.009 0.923 2.517
(1.543, 4.107)
<0.001
Radiomics-based classifier 1.514 4.546
(2.347, 8.806)
<0.001 NA NA NA