Table III.
Univariate logistic regression analysis of the clinical and texture features to predict the microvascular invasion status in the training cohort.
| OR | ||||
|---|---|---|---|---|
| 95% CI | ||||
| Feature | Value | Lower | Upper | P-value |
| AP texture features | ||||
| Uniformity | 1.209×104 | 6.602 | 4.605×107 | 0.019 |
| Energy | 3.110×10121 | 4.556×1019 | 1.820×10229 | 0.022 |
| Entropy | 1.123×10−1 | 1.991×10−2 | 5.647×10−1 | 0.010 |
| UPP | 3.110×10121 | 4.556×1019 | 1.820×10229 | 0.022 |
| ClusterShade | 1.000 | 1.000 | 1.000 | 0.046 |
| ClusterProminence | 1.000 | 1.000 | 1.000 | 0.005 |
| GreyLevelNonuniformity | 1.003 | 1.001 | 1.007 | 0.023 |
| LowGreyLevelRunEmphasis | 0.000 | 0.000 | 3.320 ×10−192 | 0.034 |
| ShortRunLowGreyLevelEmphasis | 0.000 | 0.000 | 2.140×10−255 | 0.035 |
| LongRunLowGreyLevelEmphasis | 0.000 | 0.000 | 2.060 ×10−79 | 0.036 |
| PP texture features | ||||
| MinIntensity | 9.973×10−1 | 9.947×10−1 | 9.995×10−1 | 0.025 |
| VolumeCount | 1.000 | 1.000 | 1.000 | 0.027 |
| Uniformity | 1.087×10−3 | 9.070×10−7 | 6.241×10−1 | 0.044 |
| FrequencySize | 1.000 | 1.000 | 1.000 | 0.027 |
| GlcmTotalFrequency | 1.000 | 1.000 | 1.000 | 0.026 |
| GlcmEntropy | 6.627×10−1 | 4.454×10−1 | 9.462×10−1 | 0.030 |
| HaraEntroy | 3.266×105 | 2.273×101 | 1.286×1010 | 0.013 |
| AngularSecondMoment | 0.000 | 0.000 | 4.329×10−94 | 0.026 |
| sumAverage | 1.301×10−2 | 2.238×10−4 | 5.748×10−1 | 0.029 |
| sumEntropy | 1.896×104 | 4.127 | 1.996×108 | 0.028 |
| GreyLevelNonuniformity | 1.003 | 1.001 | 1.006 | 0.024 |
| RunLengthNonuniformity | 1.000 | 1.000 | 1.000 | 0.025 |
OR, odds ratio; CI, confidence interval; UPP, uniformity of distribution of positive gray-level pixel values; AP, arterial phase; PP, portal venous phase.