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Published in: European Radiology 12/2009

01-12-2009 | Neuro

Arterial spin labelling at 3-T MR imaging for detection of individuals with Alzheimer’s disease

Authors: Takashi Yoshiura, Akio Hiwatashi, Tomoyuki Noguchi, Koji Yamashita, Yasumasa Ohyagi, Akira Monji, Eiki Nagao, Hironori Kamano, Osamu Togao, Hiroshi Honda

Published in: European Radiology | Issue 12/2009

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Abstract

The purpose of this study was to determine whether arterial spin labelling (ASL) at 3-T MR imaging can be used to discriminate individuals with Alzheimer’s disease (AD) from cognitively normal subjects. Twenty AD patients and 23 cognitively normal control subjects were studied using ASL on a 3-T MR imager. Absolute regional cerebral blood flow (rCBF) maps were calculated. In addition, normalized rCBF maps were obtained using CBF in the sensorimotor cortex for normalization. A voxel-wise comparison of these rCBF maps between the AD and control groups was performed using the two-sample t test. Individuals with AD were discriminated from control subjects based on mean rCBF values within a region-of-interest defined by the t test, and the discriminating performance was evaluated by the receiver operating characteristic (ROC) analysis. Comparisons of both absolute and normalized rCBF maps revealed areas of significant hypoperfusion caused by the effects of AD in the bilateral precunei and posterior cingulate gyri. ROC analyses resulted in area under the curve (AUC) values of 0.861 to 0.877 for absolute and 0.910 to 0.932 for normalized rCBF. Our results suggest that ASL at 3-T MR imaging can be used to help discriminate individuals with AD from normal subjects.
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Metadata
Title
Arterial spin labelling at 3-T MR imaging for detection of individuals with Alzheimer’s disease
Authors
Takashi Yoshiura
Akio Hiwatashi
Tomoyuki Noguchi
Koji Yamashita
Yasumasa Ohyagi
Akira Monji
Eiki Nagao
Hironori Kamano
Osamu Togao
Hiroshi Honda
Publication date
01-12-2009
Publisher
Springer-Verlag
Published in
European Radiology / Issue 12/2009
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-009-1511-6

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