Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis
Table 2
Multiple regression analysis between lesion combinations, covariates, and clinical scores.
(a)
Predictors ( value)
Clinical scores
MSFC
FV
SRT
SDMT
Tot10/36
FSMCCog
FSMCMot
Stepwise regression
value
0.00006*
0.00024*
0.00219#
0.00054*
0.03156†
0.03120†
0.03090†
Corrected value
0.00045*
0.00166#
0.01536†
0.00379#
0.22092‡
0.21840‡
0.21630‡
Adjusted-
0.55050
0.45350
0.38040
0.48960
0.20990
0.24770
0.2483
Cross-validation: leave-one-out
value
0.00001*
0.00004*
0.00097*
0.01300†
Corrected value
0.00005*
0.00030*
0.00677#
0.09100‡
Adjusted-
0.43660
0.37490
0.25620
0.14360
(b)
Predictors ( value)
Clinical scores
MSFC
FV
SRT
SDMT
Tot10/36
FSMCCog
FSMCMot
-scores combination
Group 1
Combination 1
0.0048#
0.0003*
Group 2
Combination 2
Combination 3
Combination 4
Group 3
Combination 5
0.0003*
0.0088#
0.0223†
Combination 6
0.0182†
0.0049#
Combination 7
Combination 8
0.0200†
Group 4
Combination 9
0.0011#
0.0256†
0.0175†
0.0001*
0.0331†
0.0168†
Combination 10
0.0057#
Combination 11
Combination 12
Covariates
Age
0.0056#
0.0144†
Gender
0.0007*
0.0004*
Educational years
HADA (anxiety)
0.0436†
HADD (depression)
0.0341†
0.0400†
0.0136†
P < 0.001. #P < 0.01. †P < 0.05.
Table 2(a): each line corresponds to the values, corrected values, and adjusted- of each model () subjected to regression and cross-validation analysis.
Table 2(b): each line corresponds to the P values of each predictor for every regression model performed.
The different symbols denote the difference in significance: highest significance (), #middle range significance (), †low significance (), and ‡nonsignificant predictor ().
