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Table 2 The predictive performance of the clinical model, the radiomics model, and the combined model

From: Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery

Model

Accuracy

Sensitivity

Specificity

positive predictive value

negative predictive value

AUC (95% CI)

Radiomics training

0.782

0.944

0.643

0.694

0.931

0.84 (0.76–0.93)

Radiomics validation

0.824

0.938

0.722

0.750

0.929

0.84 (0.70–0.98)

Clinical training

0.603

0.568

0.634

0.583

0.619

0.65 (0.55–0.75)

Clinical validation

0.500

0.474

0.533

0.563

0.444

0.58 (0.40–0.76)

Combined training

0.782

0.702

0.903

0.917

0.667

0.85 (0.77–0.94)

Combined validation

0.853

0.789

0.933

0.938

0.778

0.85 (0.71–0.99)

  1. CI confidence interval