Table 3.
Correlation analysis among different parameters
| SUV max | p53 | ERCC1 | Tumor size | Long | Differentiation | Grading | Age | Gender | ||
|---|---|---|---|---|---|---|---|---|---|---|
|
Pearson correlation |
SUV
max
|
1.000 |
.508** |
-.067 |
.174 |
.206 |
-.327** |
.143 |
-.118 |
-.168 |
| |
p53 |
.508** |
1.000 |
-.399** |
.158 |
.196 |
-.605** |
.321** |
-.106 |
-.191 |
| |
ERCC1 |
-.067 |
-.399** |
1.000 |
-.181 |
-.175 |
.644** |
-.241* |
.093 |
.240* |
| |
tumorsize |
.174 |
.158 |
-.181 |
1.000 |
.920** |
-.286* |
-.017 |
.170 |
-.112 |
| |
long |
.206 |
.196 |
-.175 |
.920** |
1.000 |
-.323** |
-.069 |
.127 |
-.077 |
| |
differentiation |
-.327** |
-.605** |
.644** |
-.286* |
-.323** |
1.000 |
-.499** |
.197 |
.286* |
| |
grading |
.143 |
.321** |
-.241* |
-.017 |
-.069 |
-.499** |
1.000 |
-.048 |
-.206 |
| |
age |
-.118 |
-.106 |
.093 |
.170 |
.127 |
.197 |
-.048 |
1.000 |
-.030 |
| gender | -.168 | -.191 | .240 | -.112 | -.077 | .286* | -.206 | -.030 | 1.000 |
*, P < 0.05; **, P < 0.01.