Table 3.
Summary of the results of the logistic regression model used to identify the predictors of radiographic OA vs. control group classification with T1ρ and T2 averages within the region of interests (ROIs).
| Group Classification (radiographic OA vs. controls) | ||||
|---|---|---|---|---|
| ROI Averages | Estimate | SE | tStat | p value |
| Intercept | 6.407e-05 | 0.907 | 7.062e-05 | 0.999 |
| T1ρ Femoral | −0.028 | 0.028 | −1.030 | 0.305 |
| T1ρ Acetabular | 0.031 | 0.028 | 1.096 | 0.276 |
| T2 Femoral | 0.017 | 0.022 | 0.792 | 0.430 |
| T2 Acetabular | 0.007 | 0.027 | 0.265 | 0.791 |
| Age | 0.013 | 0.003 | 3.375 | 0.001 |
| BMI | −0.034 | 0.018 | −1.855 | 0.067 |
| Sex | −0.116 | 0.117 | −0.994 | 0.322 |
| Prediction model summary: | ||||
| 88 observations, 80 error degrees of freedom | ||||
| Estimated Dispersion: 0.212 | ||||
| F-statistic vs. constant model: 2.48, p value=0.0237 | ||||