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Table 4 Summary estimates of diagnostic accuracy from non-autopsy studies, according to imaging finding and method

From: Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis

Imaging finding

Number of studies

Sample size

Sensitivity (95% CI)

tau2 for sensitivity

Specificity (95% CI)

tau2 for specificity

Positive likelihood ratio (95% CI)

Negative likelihood ratio (95% CI)

CT

 Global assessment

2

107

62 (50,72)

0.01

94 (1,100)

16.45

9.61 (0.01, 6410)

0.41 (0.24, 0.69)

 White matter hyperintensities

11

196

71 (53,85)

1.53

55 (44,66)

0.48

1.58 (1.26, 1.98)

0.52 (0.32, 0.85)

 Periventricular hyperintensities

3

354

49 (39,59)

0

69 (33,91)

1.48

1.57 (0.55, 4.44)

0.74 (0.45, 1.24)

 Lacunar infarcts

3

667

42 (9,85)

2.93

86 (43,98)

2.74

3.22 (0.34, 30.9)

0.66 (0.27, 1.66)

 Non-lacunar infarcts

2

1900

45 (34,56)

0

80 (68,88)

0.03

2.23 (1.34, 3.70)

0.69 (0.55, 0.87)

 General infarcts

4

381

52 (22,80)

1.66

96 (93,98)

0

12.22 (5.59, 26.7)

0.50 (0.25, 1.01)

 Basal ganglia hyperintensities

1

163

86 (78,92)

-

38 (28,49)

-

1.32 (1.09, 1.60)

0.38 (0.20, 0.73)

MRI

 Global assessment

4

170

69 (36,90)

1.57

86 (45,98)

3.14

4.86 (1.10, 21.5)

0.36 (0.16, 0.80)

 White matter hyperintensities

6

334

95 (87,98)

0.75

26 (12,50)

1.41

1.29 (1.01, 1.66)

0.19 (0.07, 0.48)

 Periventricular hyperintensities

7

315

92 (70,98)

3.61

24 (6,60)

4.45

1.19 (0.88, 1.63)

0.33 (0.10, 1.10)

 Lacunar infarcts

4

599

75 (40,93)

1.82

83 (58,95)

1.45

4.49 (1.87, 10.8)

0.30 (0.11, 0.82)

 Non-lacunar infarcts

4

514

53 (41,65)

0.13

91 (85,95)

0.05

6.11 (3.13, 11.9)

0.52 (0.39, 0.68)

 General infarcts

3

955

53 (36,70)

0.21

96 (94,97)

0

13.08 (7.64, 22.4)

0.49 (0.35, 0.71)

 Basal ganglia hyperintensities

4

396

77 (66,85)

0.10

78 (67,86)

0.17

3.46 (2.14, 5.60)

0.29 (0.18, 0.48)