# Table 3 Multivariate analysis of relationship of variables to SUVmax in the log scale*

Percent increase in (SUVmax + 1) per unit increase in variable, univariate model (95% CI)* p value univariate Percent increase in (SUVmax + 1) per unit increase in variable, multivariate model (95% CI)* p value multivariate***
Log(TMB + 1) 27.9% (18.0%, 38.7%)** < 0.001 27.8% (17.8%, 38.7%) < 0.001
Age (years) 0.2% (− 0.4%, 0.9%)** 0.5
Men (N = 117) 4.3% (− 13.5%, 25.7%) 0.7
Women (N = 156) Reference
Melanoma (N = 15) 12.6% (− 29.3%, 79.2%) 0.07 –3.5% (–37.9%, 50.0%) 0.08
Lung cancer (N = 61) 48.8% (8.3%, 104.5%)   45.1% (7.5%, 95.8%)
Gastrointestinal (N = 36) Reference   Reference
Breast (N = 43) 3.3% (− 26.6%, 45.5%)   13.3% (− 18.0%, 56.6%)
Other (N = 118) 13.6% (− 14.8%, 51.6%)   17.1% (− 10.7%, 53.7%)
1. *Statistical model diagnostics indicated that SUVmax and TMB should be analyzed on the log scale, due to the highly skewed distributions of both TMB and SUVmax. TMB and SUVmax values are analyzed as linear variables on shifted-log scale. CI confidence interval
2. **For every 1 unit increase in log(TMB + 1), there is a 27.9% increase in the predicted geometric mean. Similarly, for every year increase in age, there is a 0.2% increase in the predicted geometric mean. See “Methods” section for statistical analysis
3. ***Only variables with p value ≤ 0.1 in univariate were tested in multivariate analysis
4. ****Higher log(TMB + 1) was significantly correlated with increased (SUVmax + 1)