Table 4.
Univariate and multivariate Cox proportional hazards regression analysis with SUV max as a dichotomous and continuous variable
|
Univariate Cox proportional hazards regression analysis | ||||
|---|---|---|---|---|
| |
PET SUV
max
(<5 vs ≥5) |
PET SUV
max
(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 |
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.