Table 2.

Summary of the results of the logistic regression model used to identify the predictors of radiographic OA vs. control group classification for the first 5 PCs from each T_1ρ and T2 map. Only significant predictors were listed here.

Group Classification (radiographic OA vs. controls)
T1ρ Mapping	Estimate	SE	tStat	p value
Intercept	1.558	0.571	2.727	0.007
PC2	−0.006	0.002	−2.545	0.012
PC4	−0.010	0.002	−3.386	0.001
BMI	−0.048	0.017	−2.681	0.008
Prediction model summary:
88 observations, 79 error degrees of freedom
Estimated Dispersion: 0.188
F-statistic vs. constant model: 3.86, p value=0.000699
T2 Mapping
Intercept	1.539	0.543	2.834	0.005
PC5	0.014	0.003	4.591	1.638e-05
Age	0.010	0.003	2.677	0.009
BMI	−0.054	0.017	−3.093	0.002
Prediction model summary:
88 observations, 79 error degrees of freedom
Estimated Dispersion: 0.174
F-statistic vs. constant model: 4.93, p value=5.72e-05

Abbreviations: BMI, body mass index; OA: Osteoarthritis.