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Table 2 Performance of the prediction models

From: Value of 18F-FDG-PET/CT radiomics combined with clinical variables in the differential diagnosis of malignant and benign vertebral compression fractures

Prediction model

AUC

95%CI

Accuracy

Sensitivity

Specificity

PPV

NPV

Group

Clinical model

0.884

0.8153–0.9518

0.850

0.830

0.872

0.880

0.820

Train

Radiomics model

0.986

0.9714–1.0000

0.940

0.887

1.000

1.000

0.887

Train

Clinical–radiomics model

0.987

0.9716–1.0000

0.950

0.906

1.000

1.000

0.904

Train

Clinical model

0.858

0.7437–0.9729

0.841

0.875

0.800

0.840

0.842

Test

Radiomics model

0.962

0.9137–1.0000

0.932

0.917

0.950

0.957

0.905

Test

Clinical–radiomics model

0.948

0.8787–1.0000

0.932

0.958

0.900

0.920

0.947

Test

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