Table 3.
Multivariate logistic regression analysis of the significant radiomic features to predict Ki‐67 status
| Radiomic features | B | SE | Wald | df | Sig. | Exp (B) | 95% CI for EXP (B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Inverse variance (GLCM) | 18.30 | 6.68 | 7.50 | 1.00 | 0.01 | 88 591 554.41 | 181.63 | 4.3211E + 13 |
| Minor axis (shape) | −0.44 | 0.20 | 5.00 | 1.00 | 0.03 | 0.65 | 0.44 | 0.95 |
| Elongation (shape) | 9.91 | 4.00 | 6.13 | 1.00 | 0.01 | 20 160.92 | 7.88 | 51 564 672.82 |
| Surface volume ratio (shape) | 2.05 | 2.89 | 0.50 | 1.00 | 0.48 | 7.78 | 0.03 | 2250.67 |
| Volume (shape) | 0.00 | 0.00 | 1.90 | 1.00 | 0.17 | 1.00 | 1.00 | 1.00 |
| Surface area (shape) | 0.00 | 0.00 | 0.57 | 1.00 | 0.45 | 1.00 | 1.00 | 1.00 |
| Least axis (shape) | 0.18 | 0.12 | 2.29 | 1.00 | 0.13 | 1.20 | 0.95 | 1.52 |
| Maximum 2D diameter column (shape) | 0.10 | 0.08 | 1.68 | 1.00 | 0.19 | 1.11 | 0.95 | 1.29 |
| Maximum 2D diameter row (shape) | 0.11 | 0.06 | 3.08 | 1.00 | 0.08 | 1.12 | 0.99 | 1.26 |
| Gray Level Non‐uniformity (GLCM) | 0.00 | 0.00 | 1.18 | 1.00 | 0.28 | 1.00 | 1.00 | 1.00 |
| Zone variance (GLSZM) | 0.00 | 0.00 | 0.01 | 1.00 | 0.91 | 1.00 | 0.99 | 1.01 |
| Large area emphasis (GLSZM) | 0.00 | 0.00 | 0.01 | 1.00 | 0.91 | 1.00 | 0.99 | 1.01 |
2D, two‐dimensional; CI, confidence interval; GLCM, Gray Level Non‐uniformity; GLSZM, Gray Level Size Zone Matrix; SE, standard error.