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Table 3 Diagnostic performance of different models

From: Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions

 

Train-AUC

Test-AUC

Radiomics(ADC)

0.901(0.860–0.943)

0.885(0.774–0.996)

Radiomics(DWI)

0.850(0.796–0.903)

0.767(0.578–0.956)

Radiomics(ADC + DWI)

0.812(0.752–0.871)

0.670(0.467–0.873)

Clinical model

0.696(0.575–0.818)

0.694(0.524–0.864)

ADC

0.785(0.680–0.890)

0.802(0.666–0.937)

Nomogram

0.858(0.780–0.936)

0.923(0.842–1)

  1. 95% confidence interval are in parentheses
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Cancer Imaging

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