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. 2019 May;60(5):608–614. doi: 10.2967/jnumed.118.209544

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.