Development of Computer-Aided Diagnostic System Predictable from Mild Cognitive Impairment to Dementia

2017 Fiscal Year Final Research Report

• Project/Area Number: 26350902
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Applied health science
• Research Institution: Niigata University of Health and Welfare (2017); Takasaki University of Health and Welfare (2014-2016)
• Principal Investigator: Kodama Naoki 新潟医療福祉大学, 医療技術学部, 教授 (50383146)
• Co-Investigator(Kenkyū-buntansha): 竹内 裕之 高崎健康福祉大学, 健康福祉学部, 教授 (00348129) ; 山口 弘次郎 藤田保健衛生大学, 保健学研究科, 准教授 (40267927) ; 小杉 尚子 東京医療保健大学, 医療保健学部, 准教授 (80589648)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 認知症 / 軽度認知障害 / 進行予測 / コンピュータ支援診断 / 認知機能 / ＭＲＩ / データベース

Outline of Final Research Achievements

In this study, we investigated whether early diagnosis of mild AD and MCI are possible using VBM by MRI and Alzheimer's Disease Assessment Scale-cognitive component-Japanese version(ADAS-Jcog) accumulated in the database. The subjects are 330 patients who visited the clinic, 192 patients with mild AD and 138 patients with MCI. As the results of this study, there was significant difference between MCI and mild AD in degree of VOI atrophy, ratio of cerebral atrophy, ratio of VOI atrophy, atrophic rate. A significant difference was between MCI and mild AD in 10 of the 11 sub-items of ADAS-Jcog. Furthermore, as result of discriminant analysis by the stepwise method, the items necessary to distinguish between MCI and AD were proportion of whole ratio of cerebral atrophy, temporal orientation, word reproduction, reproduction ability, item designation. The discrimination rate was 80.9%. These five items were useful indicators for distinguishing between MCI and mild AD.

Free Research Field

脳計測科学