Table 2:

Logistic regression modeling with AD as the outcome

Single modality	OR (95% CI)	C-statistic (95%CI)	P-value
DaTQUANT: Putamen z-score	1.13 (1.06, 1.21)	0.916 (0.792, 1.0)	<0.001
MRI: HP/TIV	0.17 (0.04, 0.72)	0.739 (0.575, 0.904)	0.016
FDG-PET: CIS ratio	0.09 (0.02, 0.43)	0.878 (0.775, 0.981)	0.002
PiB-PET: global SUVr	2.10 (1.33, 3.31)	0.884 (0.789, 0.980)	0.001
Two modalities
DaTQUANT + MRI
DaTQUANT	1.16 (1.06, 1.27)	0.968 (0.922, 1.0)	0.001
MRI	0.03 (0.00, 0.58)		0.02
DaTQUANT + FDG
DaTQUANT	1.11 (1.03, 1.19)	0.975 (0.941, 1.0)	0.006
FDG	0.06 (0.00, 0.96)		0.047
DaTQUANT + PiB
DaTQUANT	1.13 (1.04, 1.24)	0.975 (0.934, 1.0)	0.005
PiB	1.96 (1.10, 3.50)		0.022
MRI + FDG
MRI	0.20 (0.03, 1.22)	0.910 (0.818, 1.0)	0.08
FDG	0.10 (0.02, 0.46)		0.003
MRI + PiB
MRI	0.05 (0.00, 0.70)	0.931 (0.862, 0.999)	0.026
PiB	2.60 (1.34, 5.03)		0.005
FDG + PiB
FDG	0.09 (0.01, 0.63)	0.964 (0.920, 1.0)	0.015
PiB	2.09 (1.17, 3.71)		0.012
Three modalities
DaTQUANT + FDG + PiB
DaTQUANT	1.14 (1.00, 1.30)	0.992 (0.976, 1.0)	0.048
FDG	0.05 (0.00, 1.84)		0.10
PiB	2.32 (0.94, 5.73		0.069
DaTQUANT + MRI + PiB
DaTQUANT	1.28 (1.00, 1.63)	0.996 (0.986, 1.0)	0.0496
MRI	0.00 (0.00, 1.73)		0.066
PiB	3.43 (1.06, 11.11)		0.0399
DaTQUANT + MRI +FDG
DaTQUANT	1.16 (1.03, 1.30)	0.987 (0.964, 1.0)	0.014
MRI	0.04 (0.00, 1.08)		0.055
FDG	0.04 (0.00, 1.69)		0.093

Odds ratio (OR) represent a 0.1 unit change. DLB is the reference group, so when the OR is greater than 1 this is more likely to occur in ADem and conversely when the OR is less than 1 then it is least likely to occur in ADem individuals. PiB was log transformed.