Table 4.
Performance of the two proposed models for predicting CLNM in the training and validation sets.
|
Training Set |
|||||
|---|---|---|---|---|---|
| Selected Features | Class | Sensitivity | Specificity |
Accuracy [95% CI] |
AUC [95% CI] |
| Model 1: MR-based DOI MR-based Dimension |
N0/Npos | 0.64 | 0.73 | 0.68 [0.57,0.78] |
0.75 [0.63,0.85] |
| Model 2: -Energy -Maximum 2D Diameter -Minimum |
N0/Npos | 0.75 | 0.73 | 0.74 [0.63,0.83] |
0.75 [0.64,0.83] |
|
Validation Set |
|||||
|---|---|---|---|---|---|
| Selected Features | Class | Sensitivity | Specificity |
Accuracy [95% CI] |
AUC [95% CI] |
| Model 1: -MR-based DOI -MR-based Dimension |
N0/Npos | 0.55 | 0.81 | 0.69 [0.51,0.84] |
0.64 [0.50,0.79] |
| Model 2: -Energy -Maximum 2D Diameter -Minimum |
N0/Npos | 0.60 | 0.71 | 0.67 [0.49,0.81] |
0.66 [0.50,0.81] |
AUC, area under the curve; CI, confidence interval.