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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