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Table 5 Diagnostic accuracy of MDCT for the detection of significant (>50%) coronary stenosis using a segment-based model in Group 2 (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

104

99

4

1

0

80%

100%

99%

100%

99%

Proximal LAD

94

46

45

1

2

98%

96%

98%

96%

97%

Mid LAD

91

44

42

1

4

98%

92%

98%

91%

94%

Distal LAD

99

86

10

2

1

83%

99%

98%

91%

97%

D1

86

66

19

0

1

100%

98%

100%

95%

99%

D2

30

27

3

0

0

100%

100%

100%

100%

100%

Proximal LCX

96

70

17

3

6

85%

92%

96%

74%

91%

Mid LCX

94

72

18

2

2

90%

97%

97%

90%

96%

Distal LCX

101

89

8

2

2

80%

98%

98%

80%

96%

M1

89

72

9

2

6

82%

92%

97%

60%

91%

M2

24

19

2

0

3

100%

86%

100%

40%

88%

Proximal RCA

99

66

28

0

5

100%

93%

100%

85%

95%

Distal RCA

96

66

25

3

2

89%

97%

96%

93%

95%

PLA

100

85

12

1

2

92%

98%

99%

86%

97%

PDA

100

87

9

3

1

75%

99%

97%

90%

96%

All segments

1303

994

251

21

37

92% (87-94)

96% (94-97)

98% (96-99)

87% (86-89)

96% (93-97)

  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;