{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:11:52Z","timestamp":1787497912517,"version":"build-2736575974"},"reference-count":29,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,7,17]],"date-time":"2021-07-17T00:00:00Z","timestamp":1626480000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims\/Introduction<\/jats:title>\n                    <jats:p>An 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\u2010based specific regional analysis system for Alzheimer\u2019s 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>We enrolled patients with diabetes aged &gt;65\u2009years 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A 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\n                      <jats:italic>z<\/jats:italic>\n                      \u2010score in VSRAD analysis (2.57\u2009\u00b1\u20090.47 vs 1.15\u2009\u00b1\u20090.55,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01). The sensitivities and specificities for diagnosis of clinical cognitive dysfunction were 80 and 48% for the Mini\u2010Mental State Examination, 100 and 89% for the\n                      <jats:italic>z<\/jats:italic>\n                      \u2010score, and 100 and 90% for the combination of the Mini\u2010Mental State Examination score and\n                      <jats:italic>z<\/jats:italic>\n                      \u2010score, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>VSRAD analysis can distinguish patients with clinical cognitive dysfunction in the elderly with diabetes, and also shows reasonable sensitivity and specificity compared with the Mini\u2010Mental State Examination alone. Thus, VSRAD analysis can be useful for early identification of clinical cognitive dysfunction in the elderly with diabetes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.13622","type":"journal-article","created":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T04:22:16Z","timestamp":1625113336000},"page":"177-184","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Voxel\u2010based specific regional analysis system for Alzheimer\u2019s disease utility as a screening tool for unrecognized cognitive dysfunction of elderly patients in diabetes outpatient clinics: Multicenter retrospective exploratory study"],"prefix":"10.1111","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1504-3874","authenticated-orcid":false,"given":"Yoko","family":"Ueba","sequence":"first","affiliation":[{"name":"Department of Diabetes, Endocrinology, and Nutrition Kyoto University Hospital Kyoto 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