Literature DB >> 18855165

Voxel-based correlation between coregistered single-photon emission computed tomography and dynamic susceptibility contrast magnetic resonance imaging in subjects with suspected Alzheimer disease.

L Cavallin1, R Axelsson, L O Wahlund, A R Oksengard, L Svensson, P Juhlin, M Kristoffersen Wiberg, A Frank.   

Abstract

BACKGROUND: Current diagnosis of Alzheimer disease is made by clinical, neuropsychologic, and neuroimaging assessments. Neuroimaging techniques such as magnetic resonance imaging (MRI) and single-photon emission computed tomography (SPECT) could be valuable in the differential diagnosis of Alzheimer disease, as well as in assessing prognosis.
PURPOSE: To compare SPECT and MRI in a cohort of patients examined for suspected dementia, including patients with no objective cognitive impairment (control group), mild cognitive impairment (MCI), and Alzheimer disease (AD).
MATERIAL AND METHODS: 24 patients, eight with AD, 10 with MCI, and six controls, were investigated with SPECT using (99m)Tc-hexamethylpropyleneamine oxime (HMPAO, Ceretec; GE Healthcare Ltd., Little Chalsont UK) and dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) with a contrast-enhancing gadobutrol formula (Gadovist; Bayer Schering Pharma, Berlin, Germany). Voxel-based correlation between coregistered SPECT and DSC-MR images was calculated. Region-of-interest (ROI) analyses were then performed in 24 different brain areas using brain registration and analysis of SPECT studies (BRASS; Nuclear Diagnostics AB, Stockholm, Sweden) on both SPECT and DSC-MRI.
RESULTS: Voxel-based correlation between coregistered SPECT and DSC-MR showed a high correlation, with a mean correlation coefficient of 0.94. ROI analyses of 24 regions showed significant differences between the control group and AD patients in 10 regions using SPECT and five regions in DSC-MR.
CONCLUSION: SPECT remains superior to DSC-MRI in differentiating normal from pathological perfusion, and DSC-MRI could not replace SPECT in the diagnosis of patients with Alzheimer disease.

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Year:  2008        PMID: 18855165     DOI: 10.1080/02841850802438512

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  5 in total

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Journal:  Radiologe       Date:  2011-04       Impact factor: 0.635

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Authors:  Enrico B Arkink; Egbert J W Bleeker; Nicole Schmitz; Guus G Schoonman; Ona Wu; Michel D Ferrari; Mark A van Buchem; Matthias J P van Osch; Mark C Kruit
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Authors:  Anna Zimny; Joanna Bladowska; Małgorzata Neska; Kamila Petryszyn; Maciej Guziński; Paweł Szewczyk; Jerzy Leszek; Marek Sąsiadek
Journal:  Med Sci Monit       Date:  2013-02-04

5.  Functional Connectivity Density, Local Brain Spontaneous Activity, and Their Coupling Strengths in Patients With Borderline Personality Disorder.

Authors:  Xiaoxia Lei; Yunjie Liao; Mingtian Zhong; Wanrong Peng; Qian Liu; Shuqiao Yao; Xiongzhao Zhu; Changlian Tan; Jinyao Yi
Journal:  Front Psychiatry       Date:  2018-07-27       Impact factor: 4.157

  5 in total

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