Table 2. Univariate regression analysis of pre-treatment FDG PET images fit to 3 month post-treatment FDG images for a linear model versus a linear mixture model.
Estimated Regression Coefficient and Hypothesis Test | Regression Models | |||
---|---|---|---|---|
Single-fit Linear | Mixed-fit Linear | |||
CR | NR | |||
FDGpre | βFDG, pop | 0.22 ± 0.11 | 0.13 ± 0.08 | 0.30 ± 0.10 |
p for βFDG, pop = 0 | 0.07 | 0.16 | 0.02 | |
| ||||
R2 | 0.17 | 0.52 |
Means and standard errors of regression coefficients in the mixture model were calculated for the complete responding (CR) and non-responding (NR) voxel subpopulations. Bolded p values are considered significant. R2 for each model was determined by averaging individual patient z scores.