Training cohort | AUC | 95% CI | Sensitivity | Specificity | Accuracy | PPV | NPV |
---|---|---|---|---|---|---|---|
Clinical features | 0.7127 | [0.6876–0.7367] | 0.5466 | 0.7844 | 0.6785 | 0.6707 | 0.6829 |
Lesion radiomics | 0.6007 | [0.5756–0.6273] | 0.6042 | 0.5588 | 0.5790 | 0.5228 | 0.6383 |
Lymph node radiomics | 0.6441 | [0.6171–0.6681] | 0.4363 | 0.7853 | 0.6302 | 0.6106 | 0.6564 |
Clinical-lesion radiomics | 0.7299 | [0.7063–0.7524] | 0.5931 | 0.7951 | 0.7053 | 0.6984 | 0.7095 |
Clinical-lymph node radiomics | 0.7519 | [0.7288–0.7738] | 0.5637 | 0.8255 | 0.7092 | 0.6282 | 0.7500 |
Clinical-lesion-lymph node radiomics | 0.7606 | [0.7373–0.7833] | 0.6495 | 0.7902 | 0.7277 | 0.7124 | 0.7381 |
Validation cohort | AUC | 95% CI | Sensitivity | Specificity | Accuracy | PPV | NPV |
---|---|---|---|---|---|---|---|
Clinical features | 0.7075 | [0.6448–0.7650] | 0.6912 | 0.6337 | 0.6591 | 0.5987 | 0.7219 |
Lesion radiomics | 0.5276 | [0.4634–0.5927] | 0.3088 | 0.7791 | 0.5714 | 0.5250 | 0.5877 |
Lymph node radiomics | 0.6500 | [0.5829–0.7133] | 0.5074 | 0.7442 | 0.6396 | 0.6106 | 0.6564 |
Clinical-lesion radiomics | 0.7055 | [0.6459–0.7637] | 0.6912 | 0.6395 | 0.6623 | 0.6026 | 0.7237 |
Clinical-lymph node radiomics | 0.7359 | [0.6750–0.7899] | 0.7206 | 0.6628 | 0.6883 | 0.6282 | 0.7500 |
Clinical-lesion-lymph node radiomics | 0.7509 | [0.6901–0.8071] | 0.6029 | 0.8430 | 0.7370 | 0.7523 | 0.7286 |