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Table 6 The ROC analysis of cortical thickness, hilum, T stage and the model in the validation cohort

From: A multivariable model of ultrasound and clinicopathological features for predicting axillary nodal burden of breast cancer: potential to prevent unnecessary axillary lymph node dissection

Variable

AUC

ACC(%)

SN (%)

SP (%)

PPV (%)

NPV (%)

P-value

95%CI

Lower

Upper

Cortical_thickness

0.718

74.0

66.7

77.0

54.1

85.1

0.009

0.605

0.832

Hilum

0.639

74.0

40.0

87.8

57.1

78.3

0.001

0.514

0.764

T stage

0.614

57.6

70.0

70.0

37.5

81.3

0.007

0.496

0.731

Model

0.783

77.9

70.0

71.6

61.2

84.9

 

0.685

0.881

  1. AUC Area under curve, ACC Accuracy, SN Sensitivity, SP Specificity, PPV Positive Predictive Value, NPV Negative Predictive Value, P-value: DeLong test of AUC, CI Confidence interval