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Table 5:

CTP variables predictive of WM disease after adjusting for age confounder, as obtained by the univariate logistic regression analysis (n = 35)

CTP VariablesAge Confounder
P ValueOR (95% CI)P ValueOR (95% CI)
CBF
Periventricular WM.050.727 (0.529–0.999).1951.062 (0.970–1.163)
Subcortical WM.030.635 (0.419–0.963).0691.094 (0.993–1.205)
Average WM.030.644 (0.457–0.964).1451.069 (0.977–1.171)
Average GM.200.916 (0.802–1.047).0991.083 (0.985–1.190)
CBV
Periventricular WM.030.992 (0.986–0.999).0431.112 (1.003–1.233)
Subcortical WM.060.995 (0.989–1.000).0231.132 (1.017–1.259)
Average WM.030.993 (0.986–0.999).0271.128 (1.014–1.256)
Average GM.200.998 (0.995–1.001).0351.101 (1.007–1.205)
MTT
Periventricular WM.860.938 (0.470–1.870).0481.103 (1.001–1.216)
Subcortical WM.241.335 (0.826–2.158).0431.095 (1.003–1.196)
Average WM.990.995 (0.442–2.242).0401.120 (1.005–1.248)
Average GM.971.011 (0.553–1.848).0351.100 (1.005–1.203)
  • Note:—CI indicates confidence interval; WM, white matter; GM, gray matter; CBV, cerebral blood volume; MTT, mean transit time; CBF, cerebral blood flow; CTP, CT perfusion.

  • CTP variable is significant (P < .05) when the age confounder is not related to the disease.

  • CTP variable is significant (P < .05) when the age confounder is related to the disease.