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Table 3 Diagnostic performances of different models after tenfold cross-validation iterations

From: T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study

Models

Specificity

Sensitivity

PPV

NPV

Accuracy

AUC

Radiomics

0.71 ± 0.12

0.80 ± 0.09

0.79 ± 0.08

0.75 ± 0.08

0.76 ± 0.08

0.82 ± 0.07

Clinic-radiological

0.74 ± 0.08

0.71 ± 0.10

0.72 ± 0.06

0.74 ± 0.06

0.72 ± 0.05

0.79 ± 0.06

Combined

0.76 ± 0.11

0.82 ± 0.13

0.82 ± 0.11

0.78 ± 0.08

0.79 ± 0.08

0.86 ± 0.07

  1. Values are mean (± standard deviation) over the cross-validation iterations
  2. PPV positive predictive value, NPV negative predictive value, AUC area under the curve