MISC

2010年

Voxel-Based Analysis of Amyloid Positron Emission Tomography Probe [C-11]BF-227 Uptake in Mild Cognitive Impairment and Alzheimer's Disease

DEMENTIA AND GERIATRIC COGNITIVE DISORDERS
  • He Shao
  • Nobuyuki Okamura
  • Kentaro Sugi
  • Shozo Furumoto
  • Katsutoshi Furukawa
  • Manabu Tashiro
  • Ren Iwata
  • Hiroshi Matsuda
  • Yukitsuka Kudo
  • Hiroyuki Arai
  • Hiroshi Fukuda
  • Kazuhiko Yanai
  • 全て表示

30
2
開始ページ
101
終了ページ
111
記述言語
英語
掲載種別
DOI
10.1159/000318754
出版者・発行元
KARGER

Aim: To determine early brain changes in the distribution of an amyloid positron emission tomography (PET) probe, C-11-labeled BF-227 or [C-11] BF-227, in order to accurately predict the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD). Patients and Methods: Amyloid plaque burden was evaluated using [C-11] BF-227 PET in AD, MCI and aged normal controls. A voxel-based analysis of [C-11] BF-227 PET images was performed to characterize the culprit brain lesion in patients with MCI who were destined to progress to AD, referred to as MCI converters (MCI-C). In addition, binding characteristics of BF-227 to amyloid deposits were examined using postmortem AD brain samples. Results: Voxel-based statistical analyses of the BF-227 PET images clearly demonstrated an abnormal distribution of BF-227 mainly in the posterior association area in MCI-C and patients with AD. BF-227 uptake in the lateral temporal cortex was consistently observed in almost all MCI-C and patients with AD, and it distinguished MCI-C from MCI nonconverters. BF-227 binding strongly correlated with dense amyloid-beta protein plaque density, but not with diffuse plaque density in the frontal cortex. Conclusion: BF-227 uptake in the lateral temporal cortex is a reliable indicator that can be used for predicting prognosis in patients with MCI. Copyright (C) 2010 S. Karger AG, Basel

リンク情報
DOI
https://doi.org/10.1159/000318754
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000281965700002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1159/000318754
  • ISSN : 1420-8008
  • Web of Science ID : WOS:000281965700002

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