Table 6.
Linear regression model parameters.
| Linear Regression of the Textural Features Extracted by VIBE_FA10 with Respect to the Front of Tumor Growth | Coefficients | p Value | p Value |
| Intercept | −7.37 | 0.08 | 0.000 |
| original_shape_SurfaceVolumeRatio | −0.85 | 0.58 | |
| wavelet_LHL_glszm_SmallAreaLowGrayLevelEmphasis | 1.50 | 0.19 | |
| wavelet_LLH_glcm_InverseVariance | 4.15 | 0.00 | |
| wavelet_HHH_glrlm_ShortRunHighGrayLevelEmphasis | 0.14 | 0.00 | |
| wavelet_HHH_glrlm_ShortRunEmphasis | 6.25 | 0.51 | |
| wavelet_HHH_glrlm_RunPercentage | −6.73 | 0.57 | |
| wavelet_HHH_glrlm_RunLengthNonUniformityNormalized | 5.15 | 0.40 | |
| wavelet_HHL_glcm_MaximumProbability | 16.11 | 0.00 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA10 with Respect to the Tumor Budding | Coefficients | p value | p value |
| Intercept | −17.88 | 0.00 | 0.000 |
| wavelet_HLL_gldm_LargeDependenceLowGrayLevelEmphasis | 0.11 | 0.32 | |
| wavelet_HLL_glrlm_LongRunLowGrayLevelEmphasis | −3.28 | 0.33 | |
| wavelet_HLL_glszm_GrayLevelNonUniformityNormalized | −4.28 | 0.05 | |
| wavelet_LLH_glrlm_GrayLevelNonUniformityNormalized | 2.15 | 0.07 | |
| wavelet_HLH_glcm_JointEnergy | 48.41 | 0.00 | |
| wavelet_HLH_firstorder_10Percentile | 0.00 | 0.96 | |
| wavelet_HHH_glcm_MaximumProbability | 1.42 | 0.87 | |
| wavelet_HHL_glcm_MaximumProbability | 24.94 | 0.00 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA10 with Respect to the Mucinous Type | Coefficients | p value | p value |
| Intercept | 3.31 | 0.14 | 0.000 |
| wavelet_LHL_gldm_DependenceNonUniformity | 0.00 | 0.03 | |
| wavelet_LHL_ngtdm_Strength | −1.20 | 0.08 | |
| wavelet_LHL_ngtdm_Busyness | 0.00 | 0.07 | |
| wavelet_LHH_glcm_ClusterTendency | 7.50 | 0.00 | |
| wavelet_HLH_gldm_DependenceEntropy | −0.03 | 0.97 | |
| wavelet_HLH_firstorder_Mean | 0.12 | 0.59 | |
| wavelet_HHH_ngtdm_Busyness | 0.00 | 0.08 | |
| wavelet_HHL_gldm_DependenceEntropy | −1.44 | 0.04 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA10 with Respect to the Recurrence Presence | Coefficients | p value | p value |
| Intercept | −2.95 | 0.05 | 0.030 |
| wavelet_LLH_glrlm_ShortRunEmphasis | 8.19 | 0.04 | |
| wavelet_LLH_glrlm_RunLengthNonUniformityNormalized | −5.25 | 0.10 | |
| wavelet_HHH_ngtdm_Busyness | 0.00 | 0.49 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA30 with Respect to the Front of Tumor Growth | Coefficients | p value | p value |
| Intercept | −4.868 | 0.010 | 0.000 |
| original_glcm_InverseVariance | 1.484 | 0.260 | |
| wavelet_HLL_gldm_GrayLevelVariance | −4.907 | 0.206 | |
| wavelet_HLL_glcm_InverseVariance | 4.257 | 0.165 | |
| wavelet_HLL_glcm_DifferenceVariance | −0.967 | 0.182 | |
| wavelet_HLL_glcm_SumEntropy | 1.329 | 0.195 | |
| wavelet_HLL_glcm_SumSquares | −0.462 | 0.540 | |
| wavelet_HLL_firstorder_RobustMeanAbsoluteDeviation | 0.360 | 0.244 | |
| wavelet_HLL_firstorder_MeanAbsoluteDeviation | −0.612 | 0.161 | |
| wavelet_HLL_firstorder_RootMeanSquared | 0.153 | 0.273 | |
| wavelet_HLL_firstorder_RootMeanSquared | 0.823 | 0.717 | |
| wavelet_HLL_firstorder_Variance | 0.010 | 0.162 | |
| wavelet_LHH_glrlm_ShortRunLowGrayLevelEmphasis | −0.018 | 0.944 | |
| wavelet_HLH_glcm_MaximumProbability | 8.613 | 0.051 | |
| wavelet_HLH_glcm_MaximumProbability | 0.903 | 0.817 | |
| wavelet_LLL_gldm_SmallDependenceLowGrayLevelEmphasis | 24.740 | 0.440 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA30 with Respect to the Tumor Budding | Coefficients | p value | p value |
| Intercept | 5.220 | 0.521 | 0.000 |
| original_glcm_InverseVariance | 2.978 | 0.008 | |
| wavelet_HLL_glcm_JointEnergy | −12.594 | 0.008 | |
| wavelet_HLL_glcm_Idm | 114.999 | 0.000 | |
| wavelet_HLL_glcm_Id | −123.518 | 0.002 | |
| wavelet_HLL_firstorder_Uniformity | −18.651 | 0.011 | |
| wavelet_HLL_firstorder_10Percentile | −0.005 | 0.801 | |
| wavelet_HLL_glrlm_GrayLevelNonUniformityNormalized | 14.712 | 0.009 | |
| wavelet_HLL_glszm_GrayLevelNonUniformityNormalized | −0.804 | 0.458 | |
| wavelet_LHL_glcm_Idm | −71.494 | 0.012 | |
| wavelet_LHL_glcm_Id | 79.815 | 0.014 | |
| wavelet_LHH_firstorder_10Percentile | −0.003 | 0.941 | |
| wavelet_LLH_firstorder_Uniformity | 10.540 | 0.002 | |
| wavelet_LLH_glrlm_GrayLevelNonUniformityNormalized | −12.808 | 0.002 | |
| wavelet_LLH_glszm_GrayLevelNonUniformityNormalized | 2.066 | 0.156 | |
| wavelet_HHL_glcm_JointEnergy | 1.672 | 0.853 | |
| wavelet_HHL_firstorder_10Percentile | 0.202 | 0.006 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA30 with Respect to the Mucinous Type | Coefficients | p value | p value |
| Intercept | 13.293 | 0.018 | 0.000 |
| original_shape_SurfaceVolumeRatio | −2.669 | 0.000 | |
| wavelet_LHH_gldm_DependenceNonUniformity | 0.004 | 0.113 | |
| wavelet_LHH_gldm_GrayLevelNonUniformity | 0.000 | 0.710 | |
| wavelet_HLH_gldm_DependenceNonUniformity | −0.014 | 0.000 | |
| wavelet_HLH_glrlm_GrayLevelNonUniformity | 0.005 | 0.003 | |
| wavelet_HHH_gldm_DependenceNonUniformity | −0.002 | 0.473 | |
| wavelet_HHH_glszm_ZonePercentage | 67.121 | 0.000 | |
| wavelet_HHH_ngtdm_Busyness | 0.000 | 0.000 | |
| wavelet_HHL_gldm_DependenceNonUniformity | 0.012 | 0.000 | |
| wavelet_HHL_glrlm_GrayLevelNonUniformity | −0.005 | 0.004 | |
| wavelet_HHL_glszm_ZoneVariance | 0.000 | 0.462 | |
| wavelet_LLL_glcm_Idmn | −12.578 | 0.025 | |
| Linear Regression of the Textural Features Extracted by VIBE_FA30 with Respect to the Recurrence Presence | Coefficients | p value | p value |
| Intercept | −0.018 | 0.966 | 0.000 |
| original_glszm_ZonePercentage | 0.852 | 0.540 | |
| wavelet_HLL_glcm_Correlation | −0.464 | 0.684 | |
| wavelet_LHL_glcm_Correlation | 5.324 | 0.001 | |
| wavelet_LHL_glcm_SumEntropy | −0.243 | 0.474 | |
| wavelet_LHL_glcm_Imc2 | v2.956 | 0.037 | |
| wavelet_LHL_glcm_ClusterTendency | −0.014 | 0.891 | |
| wavelet_HLH_glcm_Correlation | 2.266 | 0.341 | |
| wavelet_HHL_glrlm_HighGrayLevelRunEmphasis | 0.033 | 0.010 |