|
| 训练集 |
AUC |
灵敏度 |
特异性 |
精度 |
PPV |
净现值 |
| 语义模型 |
0.902 (86.3,94.1) |
0.756 (66.3,84.9) |
0.933 (88.2,98.5) |
0.849 (79.5,90.2) |
0.912 (84.4,97.9) |
0.808 (73.2,88.3) |
| Multiparametric模型 |
0.89 (85.1,92.9) |
0.793 (70.5,88.0) |
0.844 (77.0,91.9) |
0.820 (76.2,87.7) |
0.823 (73.9,90.7) |
0.817 (73.9,89.6) |
| 结合radiomics和语义模型 |
0.924 (88.5,96.3) |
0.866 (79.2,94.0) |
0.844 (77.0,91.9) |
0.855 (80.2,90.7) |
0.835 (75.6,91.4) |
0.874 (80.4,94.3) |
|
| 测试集 |
AUC |
灵敏度 |
特异性 |
精度 |
PPV |
净现值 |
| 语义模型 |
0.823 (70.5,94.1) |
0.783 (61.4,95.1) |
0.850 (69.4,100.0) |
0.814 (69.8,93.0) |
0.857 (70.7,100.0) |
0.773 (59.8,94.8) |
| Multiparametric模型 |
0.792 (67.4,91.0) |
0.522 (31.8,72.6) |
0.900 (76.9,100.0) |
0.698 (56.0,83.5) |
0.857 (67.4,100.0) |
0.621 (44.4,79.7) |
| 结合radiomics和语义模型 |
0.848 (75.0,94.6) |
0.739 (56.0,91.9) |
0.800 (62.5,97.5) |
0.767 (64.1,89.4) |
0.810 (64.2,97.7) |
0.727 (54.1,91.3) |
|
|
