BioMed Research International / 2015 / Article / Tab 2

Research Article

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
MSFCFVSRTSDMTTot10/36FSMCCogFSMCMot

Stepwise regression
value0.00006*0.00024*0.00219#0.00054*0.031560.031200.03090
 Corrected value0.00045*0.00166#0.015360.00379#0.220920.218400.21630
 Adjusted-0.550500.453500.380400.489600.209900.247700.2483

Cross-validation:
leave-one-out
value0.00001*0.00004*0.00097*0.01300
 Corrected value0.00005*0.00030*0.00677#0.09100
 Adjusted-0.436600.374900.256200.14360

(b)

Predictors ( value)Clinical scores
MSFCFVSRTSDMTTot10/36FSMCCogFSMCMot

-scores combination
 Group 1
  Combination 10.0048#0.0003*
 Group 2
  Combination 2
  Combination 3
  Combination 4
 Group 3
  Combination 50.0003*0.0088#0.0223
  Combination 60.01820.0049#
  Combination 7
  Combination 80.0200
 Group 4
  Combination 90.0011#0.02560.01750.0001*0.03310.0168
  Combination 100.0057#
  Combination 11
  Combination 12

 Covariates
  Age0.0056#0.0144
  Gender0.0007*0.0004*
  Educational years
  HADA (anxiety)0.0436
  HADD (depression)0.03410.04000.0136

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 ().