Table 3 The performance of 5 SVM models for predicting NPC residue. AUC, area under the curve; P values are derived from the DeLong’s test of AUCs, where AUC of clinic is the reference standard for comparison.

From: Performance of MRI-based radiomics for prediction of residual disease status in patients with nasopharyngeal carcinoma after radical radiotherapy

Cohort

Model

AUC (95% CI)

Accuracy

Sensitivity

Specificity

P value

Train

Clinic

0.759 (0.727 ~ 0.791)

0.728

0.698

0.828

ref

 

Clinic + FSCE-T1 Hab4

0.831 (0.785 ~ 0.876)

0.808

0.793

0.837

0.030

 

Clinic + CE-T1 Hab1

0.834 (0.783 ~ 0.884)

0.784

0.771

0.810

0.075

 

Clinic + T2 Hab2

0.861 (0.812 ~ 0.910)

0.792

0.803

0.776

0.002

 

Clinic + FSCE-T1 Hab4 + CE-T1 Hab1 + T2 Hab2

0.921 (0.867 ~ 0.975)

0.824

0.821

0.830

< 0.0001

Test

Clinic

0.659 (0.620 ~ 0.699)

0.828

0.705

0.800

ref

 

Clinic + FSCE-T1 Hab4

0.781 (0.711 ~ 0.850)

0.778

0.784

0.765

0.071

 

Clinic + CE-T1 Hab1

0.714 (0.642 ~ 0.785)

0.722

0.725

0.714

0.412

 

Clinic + T2 Hab2

0.737 (0.664 ~ 0.810)

0.741

0.788

0.667

0.120

 

Clinic + FSCE-T1 Hab4 + CE-T1 Hab1 + T2 Hab2

0.811 (0.730 ~ 0.892)

0.759

0.778

0.722

0.0047