Table 3. Performance comparison between the optimal radiomics model (radiomics-A), the optimal DLR model (DLR-A), and the model based on CT findings (56 patients from Hospital I).
Model | ACC | SEN | SPC | AUC | P |
---|---|---|---|---|---|
Radiomics-A | 0.75 | 0.70 | 0.76 | 0.74 | 0.020 |
DLR-A | 0.71 | 0.90 | 0.67 | 0.80 | 0.003 |
CT findings | 0.63 | 0.50 | 0.65 | 0.53 | 0.748 |
A P value indicates the significance level of the comparison between an AUC with that of a random case (AUC =0.5). DLR, deep learning radiomics; A, arterial; CT, computed tomography; ACC, accuracy; SEN, sensitivity; SPC, specificity; AUC, area under the curve.