Table 2.
Multivariate Logistic regression using backward elimination strategy
Radiomic Features | Beta value | OR | 95%CI OR | P value | AUCa | ||
---|---|---|---|---|---|---|---|
log-sigma-1-0-mm-3D | glcm | Imc1 | −1.24 | 0.29 | 0.10–0.82 | 0.019 | 0.637 |
log-sigma-2-5-mm-3D | glcm | MaximumProbability | 1.14 | 3.13 | 1.34–7.33 | 0.009 | 0.638 |
wavelet-LHL | glcm | MCC | −1.02 | 0.36 | 0.16–0.82 | 0.015 | 0.690 |
wavelet-LHH | glszm | ZoneEntropy | 1.56 | 4.74 | 1.70–13.20 | 0.003 | 0.661 |
wavelet-HLH | glszm | SizeZoneNonUniformityNormalized | 1.23 | 3.43 | 1.45–8.13 | 0.005 | 0.696 |
wavelet-HHL | glcm | MCC | −0.80 | 0.45 | 0.18–1.12 | 0.086 | 0.644 |
OR Odds ratio, CI confidence interval
a Area under the receiver operator characteristic curve