Table 2.
Comparison of predictive performance of all multivariate linear regression models in terms of area under the ROC curve (AUC) and standard deviation (SD) for predicting response to CRT.
| AUC (mean) | SD | |
|---|---|---|
| PET | 0.61 | 0.04 |
| DWI | 0.72 | 0.03 |
| T2-MRI | 0.72 | 0.02 |
| Combo | 0.81 | 0.03 |
| PET12 | 0.57 | 0.05 |
| DWI12 | 0.61 | 0.02 |
| T2-MRI12 | 0.55 | 0.03 |
| Combo12 | 0.63 | 0.06 |
| PET13 | 0.67 | 0.03 |
| DWI13 | 0.74 | 0.04 |
| T2-MRI13 | 0.69 | 0.02 |
| Combo13 | 0.83 | 0.03 |
| MA | 0.55 | 0.04 |
| Combo + MA | 0.79 | 0.04 |
| ELISA | 0.72 | 0.06 |
| ELISA + Combo | 0.72 | 0.04 |
Abbreviations: ROC = Receiver Operating Characteristic, AUC = area under the ROC curve, SD = standard deviation