Table 4:

Results of the multinomial linear regression for each of the 4 scenariosa

ModelHealthy vs DementiaHealthy vs ADHealthy vs VaDAD vs VaD
Variables entered in the modelPVS-1PVS-1PVS-1PVS-1
PVS-2BGPVS-2BGPVS-2BGPVS-2BG
Modified ScheltensModified ScheltensModified ScheltensModified Scheltens
Variables included in the modelPVS-2BGPVS-2BGPVS-2BGPVS-2BG
Modified ScheltensModified ScheltensModified ScheltensModified Scheltens
PVS-2BG z score/β coefficient (significance)−3.074/−1.094 (<.001)−3.161/−1.002 (<.01)−2.623/−1.956 (<.01)2.212/0.757 (<.05)
Modified Scheltens z score/β coefficient (significance)−1.928/−1.221 (NS)−1.82/−0.951 (NS)−2.537/−2.727 (<.05)1.674/0.498 (NS)
Area under ROC curve0.8550.7740.9280.7135
Sensitivity (%)94.178.991.865.3
Specificity (%)71.173.684.671.4
Positive predictive value (%)83.175.083.880.0
Negative predictive value (%)88.977.891.754.1
  • Note:—NS indicates not significant.

  • a Diagnoses were treated as categories (AD = 1, VaD = 2, and Healthy = 3). Patient age and sex were entered as covariates in each model. All imaging variables were standardized by calculation of z scores (β/standard error) and were entered into the model if they showed a baseline correlation with the diagnosis with significance < .05. Individual z score, β coefficients, and significance are given for each imaging variable in the final model.