2.
Radiomics features selected in LASSO regression analysis
| Intercept and radiomics features | Coefficients |
| Thirteen radiomics features with non-zero coefficients in the least absolute shrinkage and selection operator method (LASSO) logistic regression model were selected. The radiomics signature was constructed based on the regression analysis with a radiomics score calculated for each patient. The formula to calculate the score of radiomics signature is Score = Intercept + Coefficient × Radiomics features. The details of radiomics features were described in Supplementary Table S1 . | |
| Intercept | −0.893 |
| Contrast_135_1_0 | 0.099 |
| Contrast_90_2_0 | 0.011 |
| Correlation_45_3_0 | −0.178 |
| Homogeneity_135_2_0 | 0.241 |
| Homogeneity_90_3_0 | 0.076 |
| Gln_45_0 | −0.145 |
| His_10_Mean_0 | 0.075 |
| Entropy_0_3_1.0 | −0.007 |
| His_25_SD_1.0 | −0.060 |
| Correlation_0_1_1.5 | −0.186 |
| Entropy_0_3_1.5 | −0.015 |
| His_10_SD_2.0 | 0.091 |
| Gabor_2_4 | −0.095 |