Cargando…
Classification of inherited neurometabolic disorders based on radiological aspects: pictorial essay
Inherited neurometabolic disorders represent a diagnostic challenge, and an efficient classification system is needed in order to improve the understanding of these diseases. Although they constitute a group of rare diseases, they have a collective incidence of at least one case per 1,000 live birth...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993180/ https://www.ncbi.nlm.nih.gov/pubmed/35414737 http://dx.doi.org/10.1590/0100-3984.2021.0022 |
_version_ | 1784683858399068160 |
---|---|
author | Pedri, André Felix Guedes, Marcelo dos Santos de Castro, Cláudio Campi |
author_facet | Pedri, André Felix Guedes, Marcelo dos Santos de Castro, Cláudio Campi |
author_sort | Pedri, André Felix |
collection | PubMed |
description | Inherited neurometabolic disorders represent a diagnostic challenge, and an efficient classification system is needed in order to improve the understanding of these diseases. Although they constitute a group of rare diseases, they have a collective incidence of at least one case per 1,000 live births. Some inherited neurometabolic disorders are treatable. The clinical and radiological presentations are variable and sometimes overlap, depending on the stage of the disease. Therefore, a number of classification systems have been devised, some of which are difficult to apply in practice. The aim of this study was to illustrate a classification system for inherited neurometabolic disorders, based exclusively on radiological findings. This was a retrospective study of imaging examinations of the central nervous system, particularly of children, performed in a network of hospitals. All of the cases were studied by multidetector computed tomography, magnetic resonance imaging, or both, the images having been obtained by two neuroradiologists. We included only cases in which a definitive diagnosis was made. The classification system separates the relevant radiological findings into 10 categories. All of the cases studied presented at least one of those findings. In most of the cases, more than one finding was observed, which increased specificity and narrowed the differential diagnosis. Data from the literature and from this study demonstrate that it is possible to classify inherited neurometabolic disorders by their radiological aspects, which favors a definitive diagnosis. |
format | Online Article Text |
id | pubmed-8993180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
record_format | MEDLINE/PubMed |
spelling | pubmed-89931802022-04-11 Classification of inherited neurometabolic disorders based on radiological aspects: pictorial essay Pedri, André Felix Guedes, Marcelo dos Santos de Castro, Cláudio Campi Radiol Bras Pictorial Essay Inherited neurometabolic disorders represent a diagnostic challenge, and an efficient classification system is needed in order to improve the understanding of these diseases. Although they constitute a group of rare diseases, they have a collective incidence of at least one case per 1,000 live births. Some inherited neurometabolic disorders are treatable. The clinical and radiological presentations are variable and sometimes overlap, depending on the stage of the disease. Therefore, a number of classification systems have been devised, some of which are difficult to apply in practice. The aim of this study was to illustrate a classification system for inherited neurometabolic disorders, based exclusively on radiological findings. This was a retrospective study of imaging examinations of the central nervous system, particularly of children, performed in a network of hospitals. All of the cases were studied by multidetector computed tomography, magnetic resonance imaging, or both, the images having been obtained by two neuroradiologists. We included only cases in which a definitive diagnosis was made. The classification system separates the relevant radiological findings into 10 categories. All of the cases studied presented at least one of those findings. In most of the cases, more than one finding was observed, which increased specificity and narrowed the differential diagnosis. Data from the literature and from this study demonstrate that it is possible to classify inherited neurometabolic disorders by their radiological aspects, which favors a definitive diagnosis. Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2022 /pmc/articles/PMC8993180/ /pubmed/35414737 http://dx.doi.org/10.1590/0100-3984.2021.0022 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Pictorial Essay Pedri, André Felix Guedes, Marcelo dos Santos de Castro, Cláudio Campi Classification of inherited neurometabolic disorders based on radiological aspects: pictorial essay |
title | Classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
title_full | Classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
title_fullStr | Classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
title_full_unstemmed | Classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
title_short | Classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
title_sort | classification of inherited neurometabolic disorders based on
radiological aspects: pictorial essay |
topic | Pictorial Essay |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993180/ https://www.ncbi.nlm.nih.gov/pubmed/35414737 http://dx.doi.org/10.1590/0100-3984.2021.0022 |
work_keys_str_mv | AT pedriandrefelix classificationofinheritedneurometabolicdisordersbasedonradiologicalaspectspictorialessay AT guedesmarcelodossantos classificationofinheritedneurometabolicdisordersbasedonradiologicalaspectspictorialessay AT decastroclaudiocampi classificationofinheritedneurometabolicdisordersbasedonradiologicalaspectspictorialessay |