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Table 5 Diagnostic efficacy of the three groups of models in the training set and validation set

From: Diagnostic value of a CT-based radiomics nomogram for discrimination of benign and early stage malignant ovarian tumors

Model

Group

Sensitivity

Specificity

Threshold

AUC (95% CI)

Traditional

Training

0.731

0.810

0.459

0.807 (0.732–0.883)

Validation

0.739

0.788

0.417

0.780 (0.651–0.909)

Radiomics

Training

0.955

0.667

0.383

0.856 (0.792–0.920)

Validation

0.957

0.727

0.317

0.843 (0.741–0.946)

Nomogram

Training

0.821

0.873

0.566

0.910 (0.862–0.957)

Validation

0.870

0.818

0.420

0.913 (0.841–0.985)

  1. AUC: Area under the curve
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European Journal of Medical Research

ISSN: 2047-783X

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