Table 4.
Model | Sensitivity | Specificity | AUC 1 |
P value (AUC compared with Radiologist) |
---|---|---|---|---|
ER based model |
0.8951 |
0.8 |
0.829 ± 0.037 |
P < 0.001 |
ANN |
0.8453 |
0.6429 |
0.791 ± 0.041 |
P < 0.001 |
SVM Linear |
0.8723 |
0.6765 |
0.78 ± 0.046 |
P < 0.001 |
SVM Gaussion |
0.7657 |
0.6036 |
0.688 ± 0.059 |
P < 0.001 |
SVM Ploynomial2 |
0.8611 |
0.6774 |
0.781 ± 0.048 |
P < 0.001 |
SVM Ploynomial3 |
0.8662 |
0.6667 |
0.782 ± 0.048 |
P < 0.001 |
SVM Ploynomial4 |
0.8633 |
0.6111 |
0.769 ± 0.049 |
P < 0.001 |
Logistic Regression |
0.8552 |
0.6667 |
0.793 ± 0.039 |
P < 0.001 |
Radiologist2 | 0.634 | 0.765 | 0.757 ± 0.042 |
1The value of data was AUC + standard deviation.
2Taking 7.7 mm as the best cut-off point of maximum lymph node size, and if lymph node size larger than 7.7 mm, it is considered that LNM occurs; otherwise, it does not occur.