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Aging and disease    2018, Vol. 9 Issue (4) : 755-760     DOI: 10.14336/AD.2017.0818
Short Communication |
Voxel-based Specific Regional Analysis System for Alzheimer’s Disease (VSRAD) on 3-tesla Normal Database: Diagnostic Accuracy in Two Independent Cohorts with Early Alzheimer’s Disease
Sone Daichi1,2, Imabayashi Etsuko2, Maikusa Norihide2, Ogawa Masayo2, Sato Noriko3, Matsuda Hiroshi2,*, Japanese-Alzheimer’s Disease Neuroimaging Initiative
1Department of Psychiatry, National Center of Neurology and Psychiatry, Tokyo, Japan
2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
3Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan
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Abstract  

Voxel-based specific regional analysis system for Alzheimer’s disease (VSRAD) software is widely used in clinical practice in Alzheimer’s disease (AD). The existing VSRAD is based on the normal database with 1.5-tesla MRI scans (VSRAD-1.5T), and its utility for patients have undergone 3-tesla MRI is still controversial. We recruited 19 patients with early AD and 28 healthy controls who had undergone 3-tesla MRI scans at our institute (Cohort 1). We also used the 3-tesla MRI data of 30 patients with early AD and 13 healthy controls from the Japanese Alzheimer’s Disease Neuroimaging Initiative (Cohort 2). We also created a new VSRAD based on 65 normal subjects’ 3-tesla MRI scans (VSRAD-3T), and compared the detectability of AD between VSRAD-1.5T and VSRAD-3T, using receiver operating characteristic curve and area under the curve (AUC) analyses. As a result, there were no significant differences in the detectability of AD between VSRAD-3T and VSRAD-1.5T, except for the whole white matter atrophy score, which showed significantly better AUC in VSRAD-3T than in VSRAD-1.5T in both Cohort 1 (p=0.04) and 2 (p<0.01). Generally, there were better diagnostic values in Cohort 2 than in Cohort 1. The optimal cutoff values varied but were generally lower than in the previously published data. In conclusion, for patients with 3-tesla MRI, the detectability of early AD by the existing VSRAD was not different from that by the new VSRAD based on 3-tesla database. We should exercise caution when using the existing VSRAD for 3-tesla white matter analyses or for setting cutoff values.

Keywords Alzheimer’s disease      VSRAD      voxel-based morphometry      3-tesla MRI     
Corresponding Authors: Matsuda Hiroshi   
About author:

These authors equally contributed to this work.

Issue Date: 01 August 2018
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Sone Daichi
Imabayashi Etsuko
Maikusa Norihide
Ogawa Masayo
Sato Noriko
Matsuda Hiroshi
Japanese-Alzheimer’s Disease Neuroimaging Initiative
Cite this article:   
Sone Daichi,Imabayashi Etsuko,Maikusa Norihide, et al. Voxel-based Specific Regional Analysis System for Alzheimer’s Disease (VSRAD) on 3-tesla Normal Database: Diagnostic Accuracy in Two Independent Cohorts with Early Alzheimer’s Disease[J]. Aging and disease, 2018, 9(4): 755-760.
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http://www.aginganddisease.org/EN/10.14336/AD.2017.0818     OR     http://www.aginganddisease.org/EN/Y2018/V9/I4/755
Cohort 1 - Our InstituteCohort 2 - J-ADNINormal Databases

Early AD
(N=19)
Controls
(N=28)
Early AD
(N=30)
Controls
(N=13)
VSRAD-3T
(N=65)
VSRAD-1.5T *
(N=80)
Age (mean ± SD)69.8 ± 8.666.9 ± 7.974.2 ± 6.868.2 ± 6.070.3 ± 8.670.4 ± 7.8
Age (range)53-8154-8661-8361-8054-8554-86
Gender (M:F)6:1315:1312:186:730:3537:43
Global CDR (range)0.5-1.000.5-1.00N/AN/A
MMSE (mean ± SD)21.9 ± 4.529.3 ± 1.024.8 ± 2.529.8 ± 0.6N/A29.1 ± 1.2
Table 1  The demographics of Cohorts 1 and 2 and the normal databases for this study.
Cohort 1 - Our Institute
Cohort 2 - J-ADNI
VSRAD-3TVSRAD-1.5Tp-valueVSRAD-3TVSRAD-1.5Tp-value
Severity0.8180.8130.760.9330.9310.76
Extent0.8550.8200.240.9180.9330.35
Ratio0.8470.8060.220.9030.9180.30
Maximum0.8140.7920.440.9280.9380.45
Whole GM0.7450.7720.630.8620.7970.12
Whole WM0.7230.5640.04*0.8650.662<0.01*
Table 2  AUC values for differentiation of early AD from healthy controls using both VSRADs of ROC analysis
Figure 1.  The beeswarm plots and diagnostic values at the optimal cutoff for each score on both VSRADs in Cohort 1.
Figure 2.  The beeswarm plots and diagnostic values at the optimal cutoff for each score on both VSRADs in Cohort 2.
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