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Table 4 Univariate and multivariate Cox proportional hazards regression analysis with SUV max as a dichotomous and continuous variable

From: Pretreatment SUVmax predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy

Univariate Cox proportional hazards regression analysis
  PET SUVmax(<5 vs ≥5) PET SUVmax(Continuous)
  HR (95% CI) p HR (95% CI) p
Local control -- NS 1.124 (1.002 – 1.260) .045
Distant control -- NS -- .059
Progression-free survival 0.359 (0.143 – 0.905) .030 1.098 (1.033 – 1.168) .003
Overall survival 0.478 (0.249 – 0.920) .027 1.061 (1.005 – 1.119) .032
Multivariate Cox proportional hazards regression analysis
Local control -- NS -- .057
Distant control -- NS -- .092
Progression-free survival -- .105 1.111 (1.027 – 1.201) .008
  1. Univariate Cox hazards regression analysis of SUVmax as a dichotomous variable shows significance for progression-free and overall survivals. As a continuous variable, SUVmax significantly predicts for local control, progression-free and overall survivals. In multivariate Cox analysis, SUVmax remains a significant predictor of progression-free survival.