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Table 4 The diagnostic efficacies of single index and two prediction models

From: The values of elastic quantitative and semi-quantitative indexes measured from different frequencies in the establishment of prediction models for breast tumor diagnosis

INDEX

AUC

95%CI lower bound

95% CI upper

bound

Best cutoff value

Specificity

Sensitivity

EMax-shell-L9

0.842

0.758

0.925

103.055

70.37%

89.47%

L14group prediction model

0.810

0.722

0.898

-0.597

72.22%

78.95%

L9 group prediction model

0.904

0.842

0.967

-0.074

85.19%

84.21%

INDEX

Accuracy

Positive likelihood ratio

Negative likelihood ratio

Diagnostic odds ratio

Positive prediction value

Negative prediction value

EMax-shell-L9

78.26%

3.020

0.150

20.188

0.680

0.905

L14group prediction model

75.00%

2.842

0.292

9.750

0.667

0.830

L9 group prediction model

84.78%

5.684

0.185

30.667

0.800

0.885