Table 2 The results of single-factor and multivariate regression analysis in clinical features.
From: An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade
Feature name | Single-factor regression analysis | Multivariate regression analysis | ||
|---|---|---|---|---|
Log (HR) | p | Log (HR) | p | |
Age | 0.003 | 0.233 | ||
Sex | 0.292 | < 0.001 | 0.214 | < 0.001 |
Location | -0.019 | 0.699 | ||
Size | 0.009 | < 0.001 | 0.002 | 0.106 |
Shape | 0.382 | < 0.001 | 0.174 | 0.001 |
Heterogenous enhancement | 0.189 | < 0.001 | -0.085 | 0.198 |
Necrosis or cystic degeneration | 0.24 | < 0.001 | 0.134 | 0.062 |
Dural tail | 0.06 | 0.232 | ||
Indistinct margin | 0.444 | < 0.001 | 0.169 | 0.011 |
Peritumoral edema | 0.317 | < 0.001 | 0.144 | 0.005 |
Surrounding invasion | 0.316 | < 0.001 | 0.069 | 0.27 |
