Table 4.
Selected features by least absolute shrinkage and selection operator regression in the multi-region radiomics analysis.
ROI | Imaging filter | Feature | |
---|---|---|---|
Lung-GTV | Wavelet-LLH | glcm | JointAverage |
Lung-GTV | Wavelet-LLH | firstorder | Minimum |
Lung-GTV | Wavelet-HHL | gldm | Small Dependence Low Gray Level Emphasis |
Lung-PTVad20 | Wavelet-LLH | ngtdm | Strength |
5.00 Gy | Wavelet-LHL | firstorder | Skewness |
20.00 Gy | Wavelet-LHL | firstorder | Skewness |
30 Gy ∩ Lung-GTV | Wavelet-HLL | gldm | Gray Level Non-Uniformity |
50 Gy ∩ Lung-GTV | wavelet-LHL | glszm | Large Area High Gray Level Emphasis |
60 Gy ∩ Lung-GTV | Original | Shape | MajorAxis |
60 Gy ∩ Lung-GTV | Original | Shape | Flatness |
20 Gy ∩ Lung | Original | Shape | MinorAxis |
30 Gy ∩ Lung | Original | Shape | MajorAxis |
60 Gy ∩ Lung-PTV | Original | Shape | Maximum 3D Diameter |