Table 4.
Diagnostic performance of the radiomics model in the validation sample using different features of pre-treatment and post-treatment CT images.
Features used | SEN | SPE | ACC | AUC | P-value |
---|---|---|---|---|---|
Pre-treatment | 0.571 | 0.667 | 0.625 | 0.603 | <0.0001 |
Pre-treatment and delta | 0.857 | 0.667 | 0.750 | 0.810 | <0.0001 |
Post-treatment | 0.571 | 0.889 | 0.75 | 0.825 | 0.0001 |
Post-treatment and delta | 0.714 | 0.778 | 0.750 | 0.778 | 0.0001 |
Pre-treatment and post-treatment | 0.571 | 0.889 | 0.75 | 0.841 | <0.0001 |
Pre-treatment, post-treatment, and delta | 0.857 | 0.778 | 0.813 | 0.857 | <0.0001 |
Delta | 0.714 | 0.667 | 0.688 | 0.762 | <0.0001 |