|
Feature selection method
|
Manual annotation
|
Automatic segmentation
|
|---|
| |
AUC (mean ± SD)
|
Sensitivity/specificity
|
Number of features
|
AUC (mean ± SD)
|
Sensitivity/specificity
|
Number of features
|
|---|
|
GI LOOCV
|
0.949 ± 0.019
|
0.920/0.868
|
4
|
0.771 ± 0.040
|
0.961/0.482
|
100
|
|
GI LOOCV without PET
|
0.946 ± 0.002
|
0.924/0.859
|
4
|
0.771 ± 0.040
|
0.972/0.486
|
75
|
|
GI LOOCV without DWI
|
0.949 ± 0.015
|
0.915/0.873
|
4
|
0.754 ± 0.035
|
0.983/0.427
|
75
|
|
GI LOOCV without DWI, without PET
|
0.944 ± 0.018
|
0.922/0.868
|
4
|
0.755 ± 0.033
|
0.976/0.409
|
75
|
|
mRMR LOOCV
|
0.978 ± 0.008
|
0.946/0.936
|
2
|
0.858 ± 0.013
|
0.941/0.773
|
3
|
|
mRMR LOOCV w/o PET
|
0.975 ± 0.010
|
0.957/0.918
|
2
|
0.856 ± 0.018
|
0.948/0.736
|
3
|
|
mRMR LOOCV w/o DWI
|
0.977 ± 0.006
|
0.954/0.950
|
2
|
0.857 ± 0.017
|
0.943/0.745
|
3
|
|
mRMR LOOCV w/o DWI, PET
|
0.973 ± 0.010
|
0.950/0.927
|
2
|
0.861 ± 0.009
|
0.941/0.755
|
3
|
- AUC area under the curve at receiver operating characteristic analysis, DCE-MRI dynamic contrast-enhanced magnetic resonance imaging, DWI diffusion-weighted imaging, GI Gini importance, LOOCV leave-one-out cross-validation, mRMR minimum-redundancy-maximum-relevance, PET positron emission tomography, SD standard deviation. Values presented in bold are the highest values
