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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.