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. 2017 Jan 17;14:216–221. doi: 10.1016/j.nicl.2017.01.017

Table 3.

Association of perfusion volume fraction f and parenchymal diffusivity D with the WMH load in patients with cSVD.

Model 1a
β(95% CI)c
p-Value R2 Model 2b
β(95% CI)c
p-Value R2
Perfusion volume fraction f
NAWM 1.89(0.51, 3.27) < 0.01 0.095 1.49(0.21, 2.78) 0.024 0.389
DGM 1.86(1.00, 2.72) < 0.001 0.207 1.14(0.23, 2.05) 0.015 0.397
Cortex 1.58(0.57, 2.59) < 0.01 0.121 1.19(0.25, 2.13) 0.014 0.398
WMHs 0.13(− 0.87, 1.13) 0.794 0.132 − 0.02(− 0.94, 0.91) 0.972 0.328



Parenchymal diffusivity D
NAWM 311(227, 395) < 0.001 0.436 253 (153, 353) < 0.001 0.529
DGM 221(155, 287) < 0.001 0.384 178 (103,252) < 0.001 0.513
Cortex 406 (273, 539) < 0.001 0.342 302(162, 443) < 0.001 0.488
WMHs 105 (78,132) < 0.001 0.455 97 (66, 128) < 0.001 0.588

NAWM = normal appearing white matter; DGM = deep grey matter; WMHs = white matter hyperintensities; CI = confidence interval; R2 = R-squared of the linear regression model.

Bold values indicate significance at p < 0.05.

a

Unadjusted Student's t-test.

b

Linear regression adjusted for age, sex, and cardiovascular factors.

c

β is the regression coefficient of the IVIM parameter (f or D) in the multivariable regression model where WMH load is the dependent variable.