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

From: Relationship between tumor mutational burden and maximum standardized uptake value in 2-[18F]FDG PET (positron emission tomography) scan in cancer patients

 

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)