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Table 4 Prediction of Lymph Node Status Results and Performance Comparison of Different Quantitative Dual-Energy Computed Tomography Parameters

From: Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreatic ductal adenocarcinoma

Parameters

AUC

cut-off point

95%CI

Threshold

Sensitivity (%)

Specificity (%)

PPV(%)

NPV (%)

Accuracy (%)

Short diameter

0.8140

0.4971

0.751~0.870

0.52

70.71

79.00

69.70

80.00

74.87

SD-40 keV

0.8550

0.6068

0.798~0.902

70.80

85.86

75.00

75.76

81.00

78.39

SD-70 keV

0.8200

0.5387

0.756~0.874

29.85

86.90

67.00

69.70

77.00

73.37

Venous phase IC

0.9500

0.7580

0.915~0.972

3.95

79.80

96.00

88.89

86.00

87.44

Venous phase NIC (%)

0.9320

0.7383

0.888~0.961

54.00

82.83

91.00

83.84

85.00

84.42

Venous phase Rho

0.6620

0.2876

0.584~0.741

26.85

75.76

53.00

65.66

57.00

61.31

Venous phase Z

0.9220

0.6982

0.881~0.952

9.26

81.82

88.00

81.82

85.00

83.42

Venous phase DEI

0.9430

0.7394

0.905~0.966

0.02

93.94

80.00

82.83

85.00

83.92

Venous phase λHU

0.8540

0.5978

0.794~0.902

6.5483

77.78

82.00

78.79

77.00

77.89

Multivariable logistic regression Model

0.9910

0.9196

0.975~0.997

0.66

95.96

96.00

94.95

95.00

94.97

  1. *AUC area under the receiver operating characteristic curve, DEI dual energy index, NPV negative predictive value, PPV positive predictive value