The feasibility of white matter volume reduction analysis using SPM8 plus DARTEL for the diagnosis of @entity1 with clinically diagnosed @entity751 and XXXX .

@entity1 @entity7611 @entity3928 @entity9712 @entity194 @entity751 @entity195 @entity7463 @entity528
PURPOSE: Diagnosing @entity528 ( @entity751 ) and @entity7463 ( @entity7463 ) is often difficult due to the wide variety of symptoms and @entity3928 in the similar clinical courses and neurological findings. The purpose of this study was to evaluate the utility of white matter (WM) @entity194 for the diagnosis of @entity1 with clinically diagnosed @entity751 ( @entity751 , @entity7611 ) and @entity7463 ( @entity7463 , @entity9712 ). METHODS: We randomly divided the 3D T1-weighted MR images of 18 @entity7611 @entity1 , 33 @entity9712 @entity1 , and 32 age-matched controls into two groups. We obtained segmented WM images in the first group using Voxel-based specific regional analysis system for @entity195 (VSRAD) based on statistical parametric mapping (SPM) 8 plus diffeomorphic anatomical registration through exponentiated Lie algebra. A target volume of interest (VOI) for disease-specific @entity194 was subsequently determined in this group using SPM8 group analyses of WM @entity194 between @entity1 groups and controls. We then evaluated the utility of these VOIs for diagnosing @entity7611 and @entity9712 @entity1 in the second group. Z score values in these VOIs were used as the determinant in receiver operating characteristic (ROC) analyses. RESULTS: Specific target VOIs were determined in the bilateral frontal subcortical WM for @entity7611 and in the midbrain tegmentum for @entity9712 . In ROC analyses, the target VOIs of @entity7611 and @entity9712 compared to those of controls exhibited an area under curve (AUC) of 0.99 and 0.84, respectively, which indicated an adequate diagnostic power. The VOI of @entity7611 revealed a higher AUC than that of @entity9712 for differentiating between @entity7611 and @entity9712 (AUC, 0.75 vs 0.53). CONCLUSIONS: Bilateral frontal WM volume reduction demonstrated a higher power for differentiating @entity7611 from @entity9712 . This VOI analysis is useful for clinically diagnosing @entity7611 and @entity9712 .
