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Table 1 Dataset demographics and clinical information

From: Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

Category

CU (n = 271)

MCI (n = 550)

Dementia (n = 142)

Aβ –

Aβ + 

Aβ –

Aβ + 

Aβ –

Aβ + 

ADNI (n = 963)

Number of participants

179

92

238

312

17

125

Age, mean years (SD)

75.1 (7.0)

77.7 (5.7)

71.5 (8.4)

74.1 (7.2)

77.0 (8.2)

74.3 (8.2)

Gender: female, n (%)

83 (46.4)

54 (58.7)

104 (43.7)

134 (42.9)

2 (11.8)

57 (45.6)

Education: mean years (SD)

16.8 (2.6)

16.0 (2.7)

16.3 (2.5)

15.9 (2.9)

16.7 (2.4)

15.6 (2.7)

MMSE mean (SD)

29.1 (1.2)

28.5 (1.8)

28.2 (2.2)

26.9 (3.2)

23.2 (2.0)

23.0 (2.2)

Category

CU (n = 263)

MCI (n = 133)

Dementia (n = 74)

Aβ –

Aβ + 

Aβ –

Aβ + 

Aβ –

Aβ + 

KBASE (n = 470)

Number of participants

244

39

71

62

16

58

Age, mean years (SD)

68.3 (8.1)

74.2 (6.4)

73.5 (7.4)

72.9 (6.7)

75.4 (7.8)

72.4 (7.8)

Gender: female, n (%)

115 (51.3)

16 (41.1)

46 (64.8)

41 (66.1)

13 (81.2)

37 (54.4)

Education: mean years (SD)

11.7 (4.8)

12.2 (4.6)

9.5(4.6)

10.5 (4.5)

6.7 (5.2)

9.9 (5.2)

MMSE mean (SD)

26.9 (2.6)

27.2 (2.2)

23.2 (2.8)

21.5 (3.2)

16.5 (4.0)

16.9 (4.1)

Category

CU (n = 1)

MCI (n = 75)

Dementia (n = 24)

Aβ –

Aβ + 

Aβ –

Aβ + 

Aβ –

Aβ + 

University Hospital Dataset (n = 100)

Number of participants

1

 

38

37

11

13

Age, mean years (SD)

62 (0)

 

73.1 (6.1)

72.7 (6.8)

72.0 (4.6)

74.6 (5.7)

Gender: female, n (%)

1 (100)

 

19 (50.0)

21 (56.8)

6 (54.5)

10 (76.9)

Education: mean years (SD)

N/A

N/A

N/A

N/A

N/A

N/A

MMSE mean (SD)

28 (0.0)

 

24.7 (4.0)

23.8 (4.0)

21.7 (4.8)

18.2 (3.8)

  1. Aβ = β-amyloid; CU = Cognitive unimpaired; MCI = Mild Cognitive Impairment; MMSE = Mini-Mental State Examination