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Table 2 Evaluation results of image omics model in 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)

Plain

Training

0.953

0.682

− 0.529

0.861 (0.797–0.924)

 

Validation

0.815

0.700

0.061

0.833 (0.731–0.935)

Enhanced

Training

0.938

0.864

− 0.595

0.954 (0.918–0.990)

 

Validation

0.885

0.800

− 0.291

0.901 (0.823–0.980)

Both

Training

0.989

0.848

− 1.364

0.974(0.948–1.000)

 

Validation

0.923

0.867

− 0.304

0.921(0.850–0.991)

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

ISSN: 2047-783X

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