Table 5.

Diagnostic performance of the radiomics models and radiomics nomogram.

Dataset	Model	AUC	ACC	SEN	SPE	PPV	NPV
Cross-validation set (VA)	Conventional ultrasound	0.814 (0.689–0.938)	0.925 (0.866–0.963)	0.679 (0.476–0.841)	0.990 (0.948–1.000)	0.950 (0.751–0.999)	0.920 (0.854–0.963)
Cross-validation set (VA)	Contrast-enhanced ultrasound	0.848 (0.764–0.932)	0.902 (0.839–0.947)	0.643 (0.441–0.814)	0.971 (0.919–0.994)	0.857 (0.637–0.970)	0.911 (0.842–0.956)
Cross-validation set (VA)	Combined	0.936 (0.887–0.986)	0.932 (0.875–0.969)	0.821 (0.631–0.939)	0.962 (0.905–0.990)	0.852 (0.663–0.958)	0.953 (0.893–0.985)
Independent test set (TE)	Conventional ultrasound	0.820 (0.664–0.976)	0.818 (0.645–0.930)	0.625 (0.245–0.915)	0.880 (0.688–0.975)	0.625 (0.245–0.915)	0.880 (0.688–0.975)
Independent test set (TE)	Contrast-enhanced ultrasound	0.915 (0.818–1.000)	0.818 (0.645–0.930)	0.375 (0.085–0.755)	0.960 (0.796–0.999)	0.750 (0.194–0.994)	0.828 (0.642–0.942)
Independent test set (TE)	Combined	0.920 (0.823–1.000)	0.909 (0.757–0.981)	0.750 (0.349–0.968)	0.960 (0.796–0.999)	0.857 (0.421–0.996)	0.923 (0.749–0.991)
Independent test set (TE)	Radiomics nomogram	0.960 (0.878–1.000)	0.970 (0.842–0.999)	0.875 (0.473–0.997)	1.000 (0.863–1.000)	1.000 (0.590–1.000)	0.962 (0.804–0.999)

Data are presented as point estimates with 95% confidence intervals in parentheses. The 95% CIs for AUC were estimated using the DeLong method. The 95% CIs for accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were calculated using the exact Clopper–Pearson method.

AUC, area under the receiver operating characteristic curve; ACC, accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative predictive value; CEUS, contrast-enhanced ultrasound; CI, confidence interval.