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Table 6 Comparison of the diagnostic accuracy of MDCT for the detection of significant (>50%) coronary stenosis between Group 1 and Group 2.

From: Comparison of the diagnostic performance of 64-slice computed tomography coronary angiography in diabetic and non-diabetic patients with suspected coronary artery disease

SEGMENT-BASED MODEL - SEGMENTS FOR ANALYSIS ONLY

Group

TN

TP

FN

FP

Se

Sp

NPV

PPV

Accuracy

Group 1

1229

851

218

69

91

76% (72-82)

90% (88-92)

93% (91-94)

71% (65-73)

87% (86-89)

Group 2

1303

994

251

21

37

92% (87-94)

96% (94-97)

98% (96-99)

87% (86-89)

96% (93-97)

P

-

-

-

-

-

0.001

0.001

0.001

0.001

0.001

SEGMENT-BASED MODEL - ALL SEGMENTS FOR ANALYSIS WITH NON EVALUABLE SEGMENTS "POSITIVE"

Group

N

TN

TP

FN

FP

Se

Sp

NPV

PPV

Accuracy

Group 1

1310

851

243

69

147

78% (73-82)

85% (83-87)

92% (91-94)

62% (57-65)

83% (81-85)

Group 2

1342

994

251

21

76

92% (89-95)

93% (91-94)

98% (97-99)

77% (81-92)

93% (91-94)

P

-

-

-

-

-

0.001

0.001

0.001

0.001

0.001

PATIENT-BASED MODEL - SEGMENTS FOR ANALYSIS ONLY

Group

TN

TP

FN

FP

Se

Sp

NPV

PPV

Accuracy

Group 1

105

3

87

6

9

94% (89-99)

33% (0-51)

25% (0-90)

91% (85-100)

86% (82-88)

Group 2

105

15

83

4

3

95% (91-100)

83% (66-100)

79% (61-97)

97% (93-100)

93% (89-98)

P

-

-

-

-

-

NS

0.01

0.001

NS

0.05

  1. FN = False negative; FP = False positive; NPV = negative predictive value; PPV = positive
  2. predictive value; Se = Sensitivity; Sp = Specificity; TN = true negative; TP = true positive.