Impact of radiogenomics in esophageal cancer on clinical outcomes: A pilot study

Table 4 Results of multivariate analysis for the stage I-II/stage III-IV classification task

Model order	Features involved	AUC ± SE	Sens ± SE	Spec ± SE	ACC ± SE
1	Wavelet-HHH GLCM joint entropy	0.896 ± 0.005	0.513 ± 0.021	0.865 ± 0.007	0.77 ± 0.006
2	Wavelet-LLH NGTDM complexity; Wavelet-HHH GLCM joint entropy	0.869 ± 0.008	0.643 ± 0.021	0.834 ± 0.008	0.79 ± 0.006
3	Wavelet-LLH NGTDM complexity; Wavelet-HHH GLCM joint entropy; Wavelet-HLH first order entropy	0.826 ± 0.009	0.523 ± 0.023	0.815 ± 0.009	0.744 ± 0.006
4	Wavelet-HLL GLCM cluster prominence; Wavelet-HHH GLCM joint entropy; Wavelet-LLH NGTDM complexity; Wavelet-HLH first order entropy	0.799 ± 0.009	0.668 ± 0.022	0.766 ± 0.009	0.752 ± 0.007
5	Wavelet-LLH GLDM high gray level emphasis; Wavelet-HHH GLCM joint entropy; Wavelet HLL GLCM cluster prominence; Wavelet HLH entropy; Wavelet LLH NGTDM complexity	0.724 ± 0.011	0.516 ± 0.025	0.762 ± 0.01	0.708 ± 0.008

For each model (from order 1 to 5), area under the receiver operating characteristic curve, sensitivity, specificity and accuracy were reported with the standard error on a 95%CI over all bootstrap sample. AUC: Area under the receiver operating characteristic curve; GLCM: Gray level co-occurrence matrix; GLDM: Gray level dependence matrix; GLRLM: Gray level run length matrix; GLSZM: Gray level size zone matrix; H: High-pass filter; L: Low-pass filter; NGTDM: Neighboring gray tone difference matrix; SE: Standard error.