Evidence map›Paper›PMID 30090663›Full record

ArticleAging and disease2018

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.

Daichi Sone, Etsuko Imabayashi, Norihide Maikusa, Masayo Ogawa, Noriko Sato, Hiroshi Matsuda, Japanese-Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Aging and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daichi Sone1Department of Psychiatry, National Center of Neurology and Psychiatry, Tokyo, Japan.
Etsuko Imabayashi2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
Norihide Maikusa2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
Masayo Ogawa2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
Noriko Sato3Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hiroshi Matsuda2Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
Japanese-Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

3-tesla MRIAlzheimer’s diseasevoxel-based morphometryVSRAD

Identifiers

PMID30090663
PMCPMC6065286

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.