TABLE 3.
Linear Mixed-Effects Models (Linear Regression for Liver)
Model | Fitted % difference in repeat scans | 95% confidence interval |
Model 1 (SUVmax)* | ||
A. Same scanner (n = 10) | 8% | 6%–11% |
B. Same institution, different scanner (n = 2) | 6% | 3%–11% |
C. Different institution and scanner (n = 11) | 18% | 13%–24% |
Model 2 (SUVmax)† | ||
Same scanner or institution | 8% | 6%–10% |
Different institution and scanner | 18% | 13%–24% |
Model 3 (liver SUVmean)‡ | ||
Same scanner or institution | 5% | 3%–10% |
Different scanner and institution | 6% | 3%–11% |
C > A (P = 0.0015), C > B (P = 0.003), A and B not different on average (P = 0.66) (Tukey–Kramer adjustment for pairwise comparisons).
P < 0.001, Wald test.
P = 0.85, Wald test (n = 23).
Group differences are back-transformed from log(absolute percentage difference + 1); n = 162 tumors in 23 patients.