ArticleJournal of diabetes investigation2022
Voxel-based specific regional analysis system for Alzheimer's disease utility as a screening tool for unrecognized cognitive dysfunction of elderly patients in diabetes outpatient clinics: Multicenter retrospective exploratory study.
Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- An information-theoretic evaluation framework for CNN-LSTM-based Alzheimer's disease classification from structural MRI.Scientific reports · 2026Article
- Statistical Parametric Mapping and Voxel-Based Specific Regional Analysis System for Alzheimer's Disease (VSRAD): Principles and Clinical Applications.Brain sciences · 2025Review
- Salivaomics: New Frontiers in Studying the Relationship Between Periodontal Disease and Alzheimer's Disease.Metabolites · 2025Review
- Is unrecognized cognitive impairment in hypertension unmasked by diabetes mellitus?Hypertension research : official journal of the Japanese Society of Hypertension · 2022Article
- Voxel-based specific regional analysis system for Alzheimer's disease utility as a screening tool for unrecognized cognitive dysfunction of elderly patients in diabetes outpatient clinics: Multicenter retrospective exploratory study.Journal of diabetes investigation · 2022Article
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
AIMS/
introductionAn efficient screening strategy for identification of cognitive dysfunction remains a clinical issue in the management of elderly adults with diabetes. A magnetic resonance imaging voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) has been developed as an automated brain morphometry system that includes the hippocampus. We carried out a multicenter retrospective study to evaluate the utility of VSRAD for screening cognitive dysfunction in diabetes outpatient clinics. MATERIALS AND
methodsWe enrolled patients with diabetes aged >65 years who underwent brain magnetic resonance imaging scans for the purpose of a medical checkup between November 2018 and May 2019. Patients who were already suspected or diagnosed with mild cognitive impairment and/or dementia as well as those with a history of cerebrovascular disease were excluded.
resultsA total of 67 patients were enrolled. Five patients were diagnosed with mild cognitive impairment or dementia (clinical cognitive dysfunction). Patients with clinical cognitive dysfunction showed a significantly higher z-score in VSRAD analysis (2.57 ± 0.47 vs 1.15 ± 0.55, P < 0.01). The sensitivities and specificities for diagnosis of clinical cognitive dysfunction were 80 and 48% for the Mini-Mental State Examination, 100 and 89% for the z-score, and 100 and 90% for the combination of the Mini-Mental State Examination score and z-score, respectively.
conclusionsVSRAD analysis can distinguish patients with clinical cognitive dysfunction in the elderly with diabetes, and also shows reasonable sensitivity and specificity compared with the Mini-Mental State Examination alone. Thus, VSRAD analysis can be useful for early identification of clinical cognitive dysfunction in the elderly with diabetes.
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