Diffusion tensor imaging for Alzheimer’s disease. A review of concepts and potential clinical applicability

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Autor principal: Luciano de Gois Vasconcelos
Formato: Artículo científico
Lenguaje:en
Publicado: Associação Neurologia Cognitiva e do Comportamento 2009
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author Luciano de Gois Vasconcelos
author_facet Luciano de Gois Vasconcelos
contents Diffusion tensor imaging for Alzheimer’s disease. A review of concepts and potential clinical applicability Luciano de Gois Vasconcelos Sonia Maria Dozzi Brucki Andrea Parolin Jackowiski Orlando Francisco Amodeo Bueno Medicina review early diagnosis Alzheimer’s disease magnetic resonance imaging In view of the urgent need to identify an early and specific biomarker for Alzheimer`s disease (AD), a database search was performed using the terms "Alzheimer diasease" and "Diffusion Magnetic Resonance" Imaging” to enable review of Diffusion tensor imaging (DTI) concepts and its potential clinical role in AD evaluation. Detailed analysis of selected abstracts showed that the main DTI measures, fractional anisotropy and apparent diffusion coefficient, indicators of fiber tract integrity, provide a direct assessment of WM fibers and may be used as a new biomarker for AD. These findings were found to correlate with cognitive assessments, rates of AD progression and were also able to differentiate among groups including mild cognitive impairment, AD, and other dementias. Despite several consistent DTI findings in AD patients, there is still a lack of knowledge and studies on the DTI field. DTI is not yet ready for clinical use, and requires extensive further research in order to achieve this goal. 2009 artículo científico 1980-5764 https://www.redalyc.org/articulo.oa?id=339529015002 en http://www.redalyc.org/revista.oa?id=3395 Dementia & Neuropsychologia application/pdf Associação Neurologia Cognitiva e do Comportamento Dementia & Neuropsychologia (Brasil) Num.4 Vol.3
format Artículo científico
id redalyc_339529015002
institution Redalyc
language en
publishDate 2009
publisher Associação Neurologia Cognitiva e do Comportamento
spellingShingle Diffusion tensor imaging for Alzheimer’s disease. A review of concepts and potential clinical applicability
Luciano de Gois Vasconcelos
Medicina
review
early diagnosis
Alzheimer’s disease
magnetic resonance imaging
Diffusion tensor imaging for Alzheimer’s disease. A review of concepts and potential clinical applicability Luciano de Gois Vasconcelos Sonia Maria Dozzi Brucki Andrea Parolin Jackowiski Orlando Francisco Amodeo Bueno Medicina review early diagnosis Alzheimer’s disease magnetic resonance imaging In view of the urgent need to identify an early and specific biomarker for Alzheimer`s disease (AD), a database search was performed using the terms "Alzheimer diasease" and "Diffusion Magnetic Resonance" Imaging” to enable review of Diffusion tensor imaging (DTI) concepts and its potential clinical role in AD evaluation. Detailed analysis of selected abstracts showed that the main DTI measures, fractional anisotropy and apparent diffusion coefficient, indicators of fiber tract integrity, provide a direct assessment of WM fibers and may be used as a new biomarker for AD. These findings were found to correlate with cognitive assessments, rates of AD progression and were also able to differentiate among groups including mild cognitive impairment, AD, and other dementias. Despite several consistent DTI findings in AD patients, there is still a lack of knowledge and studies on the DTI field. DTI is not yet ready for clinical use, and requires extensive further research in order to achieve this goal. 2009 artículo científico 1980-5764 https://www.redalyc.org/articulo.oa?id=339529015002 en http://www.redalyc.org/revista.oa?id=3395 Dementia & Neuropsychologia application/pdf Associação Neurologia Cognitiva e do Comportamento Dementia & Neuropsychologia (Brasil) Num.4 Vol.3
title Diffusion tensor imaging for Alzheimer’s disease. A review of concepts and potential clinical applicability
topic Medicina
review
early diagnosis
Alzheimer’s disease
magnetic resonance imaging
url https://www.redalyc.org/articulo.oa?id=339529015002