Table 5.
Diagnostic performance of SVM model using extracted imaging data for differentiation between f-AIP and PDAC
| SVM model | Linear | Non-linear | ||
|---|---|---|---|---|
| AUC | ||||
| Combination | Training cohort (n = 84) |
Testing cohort (n = 21) | Training cohort (n = 84) |
Testing cohort (n = 21) |
| 2D-ADCmean | 87.6 | 68.9 | 83.8 | 81.2 |
| Object volume | 74.3 | 73.3 | 69.2 | 82.5 |
| 3D-ADCmean | 78.3 | 68.9 | 74.1 | 51.2 |
| Exponential－energy | 75.6 | 73.3 | 70.0 | 82.5 |
| 2D-ADCmean, Object volume | 89.0 | 70.0 | 82.3 | 96.2 |
| 2D-ADCmean, 3D-ADCmean | 86.9 | 72.2 | 82.3 | 81.2 |
| 2D-ADCmean, Exponential-energy | 75.0 | 73.3 | 82.9 | 93.8 |
| Object volume, 3D-ADCmean | 87.9 | 73.3 | 84.1 | 83.8 |
| Object volume, Exponential-energy | 90.0 | 72.2 | 69.4 | 87.5 |
| 3D-ADCmean, Exponential-energy | 87.2 | 73.3 | 82.1 | 81.3 |
| 2D-ADCmean, Object volume, 3D-ADCmean | 91.0 | 73.3 | 83.4 | 91.3 |
| 2D-ADCmean, Object volume, Exponential-energy | 90.1 | 72.2 | 82.1 | 96.2 |
| 2D-ADCmean, 3D-ADCmean, Exponential-energy | 89.4 | 74.4 | 83.5 | 90.0 |
| Object volume, 3D-ADCmean, Exponential-energy | 86.6 | 70.0 | 82.9 | 80.0 |
| 2D-ADCmean, Object volume, 3D-ADCmean, Exponential-energy | 90.5 | 73.3 | 83.0 | 91.3 |
AUC, the area under the curve; PDAC, pancreatic ductal adenocarcinoma; SVM, support vector machine; f-AIP, focal-type autoimmune pancreatitis.
a
Selection of features are represented in the order Object volume, 2D-ADCmean, 3D-ADCmean, Exponential-energy from left to right, and defined as one if the item is included in the model and 0 if not.