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Table 4 Diagnostic accuracy of MDCT for the detection of significant (>50%) coronary stenosis using a segment-based model in Group 1 (Segments for analysis only).

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

Segments

N

TN

TP

FN

FP

Se

Sp

NPV

PPV

Accuracy

LM

99

85

1

7

6

13%

93%

92%

14%

87%

Proximal LAD

99

44

43

0

12

100%

79%

100%

78%

88%

Mid LAD

93

40

38

7

8

84%

83%

85%

83%

84%

Distal LAD

98

86

6

4

2

60%

98%

96%

75%

94%

D1

80

48

15

6

11

71%

81%

89%

58%

79%

D2

58

52

1

1

4

50%

93%

98%

20%

91%

Proximal LCX

101

65

22

3

11

88%

86%

96%

67%

86%

Mid LCX

95

70

16

4

5

80%

93%

95%

76%

91%

Distal LCX

92

84

3

2

3

60%

97%

98%

50%

95%

M1

76

54

8

7

7

53%

89%

89%

53%

82%

M2

17

14

2

1

0

67%

100%

93%

100%

94%

Proximal RCA

91

47

25

11

8

69%

85%

81%

76%

79%

Distal RCA

89

44

28

8

9

83%

78%

85%

76%

83%

PLA

64

52

6

2

4

75%

93%

96%

60%

91%

PDA

77

66

2

7

2

22%

97%

90%

50%

88%

All segments

1229

851

218

69

91

76% (72-82)

90% (88-92)

93% (91-94)

71% (65-73)

87% (86-90)

  1. D1 = First diagonal branch; D2 = Second diagonal branch; FN = false negative; FP = false positive;
  2. LM = left main; LAD = left anterior descending; LCX = left circumflex; M1 = First marginal branch;
  3. M2 = Second marginal branch; NPV = negative predictive value; PLA = Postero-lateral artery;
  4. PDA = Posterior descending artery; PPV = positive predictive value; Se = Sensitivity;
  5. Sp = Specificity; TN = true negative; TP = true positive;