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Table 2 axSpA activity prediction performance of models based upon different Rad_Sig

From: Assessment of axial spondyloarthritis activity using a magnetic resonance imaging-based multi-region-of-interest fusion model

Models

Accuracy

AUC

95% CI

Sensitivity

Specificity

PPV

NPV

Youden

Cohort

Fusion

0.908

0.977

0.9536–0.9998

0.909

0.907

0.857

0.942

0.500

Train

Circle

0.874

0.882

0.7880–0.9752

0.848

0.889

0.824

0.906

0.362

Train

Facet

0.966

0.988

0.9703–1.0000

0.970

0.963

0.941

0.981

0.438

Train

Fusion

0.818

0.857

0.6994–1.0000

0.750

0.857

0.750

0.857

0.361

Test

Circle

0.727

0.777

0.5781–0.9755

1.000

0.571

0.571

1.000

0.300

Test

Facet

0.682

0.714

0.4822–0.9463

1.000

0.538

0.533

1.000

0.345

Test

  1. AUC area under the curve, CI confidence interval, PPV positive predictive value, NPV negative predictive value