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 |