MR image texture in Parkinson's disease: a longitudinal study.
Acta Radiol
; 56(1): 97-104, 2015 Jan.
Article
em En
| MEDLINE
| ID: mdl-24413223
ABSTRACT
BACKGROUND:
Few of the structural changes caused by Parkinson's disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns.PURPOSE:
To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. MATERIAL ANDMETHODS:
Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson's Disease Ranking Scales I-III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated.RESULTS:
Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD.CONCLUSION:
Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doença de Parkinson
/
Algoritmos
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Encéfalo
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Aumento da Imagem
Tipo de estudo:
Diagnostic_studies
/
Guideline
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Observational_studies
Limite:
Aged
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Aged80
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Female
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Humans
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Male
/
Middle aged
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article