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1.
Rev. bras. neurol ; 57(2): 14-17, abr.-jun. 2021. tab, ilus
Article in English | LILACS | ID: biblio-1280778

ABSTRACT

The white matter hyperintensities (WMH, leucoaraiosis) represent the most common kind of ischemic vascular lesion of the white matter due to small vessel diseases, and occurs frequently in the elderly. Consequent to the neuroimaging identification arouse the need for their assessment. The group of Fazekas proposed a systematized semi-quantitative visual scale to score such lesions where two parameters were considered, extent and localization. The original scale was further modified, to a simplified version. Although other more complex scales have appeared, researchers remarked that the relatively simple Fazekas scale, in comparison to the complex ones and to volumetric measures, appeared to be sufficient when analyzing relationships between clinical parameters and WMH load in a clinical setting.


As hiperintensidades da substância branca (HSB, leucoaraiose) representam o tipo de lesão isquêmica mais comum da substância branca decorrente de doenças de pequenos vasos e ocorre frequentemente em idosos. Consequente à identificação por neuroimagem surgiu a necessidade de sua avaliação. O grupo de Fazekas propos uma escala visual semiquantitativa sistematizada para pontuar tais lesões, onde foram considerados dois parâmetros, extensão e localização. A escala original foi modificada para constituir uma versão mais simplificada. Embora outras escalas mais complexas tenham aparecido, pesquisadores comentaram que a relativamente simples escala de Fazekas, em comparação às mais complexas e a método volumétrico, mostrou-se suficiente quando é analisada a relação entre parâmetros clínicos e a carga de HSB em um cenário clínico.


Subject(s)
Humans , Aged , Aged, 80 and over , Leukoaraiosis/pathology , Leukoaraiosis/diagnostic imaging , White Matter/diagnostic imaging , Aging , Brain Ischemia/diagnostic imaging , Neuroimaging/methods
2.
Rev. argent. radiol ; 81(2): 110-121, jun. 2017. ilus, tab
Article in Spanish | LILACS | ID: biblio-897410

ABSTRACT

En Neurorradiología los cambios de la sustancia blanca periventricular o subcortical en pacientes ancianos son descritos generalmente con leucoaraiosis, fenómenos hipóxico-isquémicos crónicos, leucoencefalopatía microangiopática o simplemente con alteraciones en la densidad o intensidad según el método elegido. Sin embargo, ¿es correcto el empleo de estas denominaciones?, ¿funcionan como sinónimos?, ¿tienen un mismo mecanismo de producción? Las lesiones que afectan a la sustancia blanca se aprecian hipodensas en tomografía computada, hiperintensas en las secuencias ponderadas en T2 o FLAIR e hipointensas en la resonancia magnética en ponderación T1. Describimos las distintas entidades que pueden afectar selectivamente la sustancia blanca en el paciente anciano y sus probables mecanismos de acción, para establecer una correcta denominación y realizar los diagnósticos diferenciales.


In Neuroradiology the changes in the deep or sub-cortical white matter in elderly people are generally described as leukoaraiosis, chronic hypoxic-ischaemic processes, microangiopathic leucoencephalopathy, or they are simply mentioned as density or intensity changes according to the selected imaging method. However, are these terms correct?, Are they synonyms?, Do they have the same aetiology? The lesions that affect white matter are hypodense in computed tomography, hyperintense in T2-weighted or FLAIR, or hypointense in T1 images in magnetic resonance. A description is presented on the different conditions that can selectively affect the white matter in the elderly patient and their probable mechanisms of action in order to establish a correct nomenclature, as well as make differential diagnoses.


Subject(s)
Humans , Aged, 80 and over , Terminology , Leukoaraiosis/diagnostic imaging , White Matter/injuries , Magnetic Resonance Spectroscopy , Leukoaraiosis/classification , Leukoaraiosis/etiology , Cerebrum/diagnostic imaging , Leukoencephalopathies/diagnostic imaging , White Matter/diagnostic imaging
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