RESUMO
Resumo As doenças neurometabólicas hereditárias representam um desafio diagnóstico e precisam de classificações eficientes para sua compreensão. São um grupo de doenças raras, mas atingem pelo menos um a cada mil nascimentos. Algumas têm possibilidade terapêutica. Os quadros clínico e radiológico são variáveis e, às vezes, superponíveis, a depender da fase da doença. Por isso, observam-se na literatura vários tipos de classificações, algumas de difícil aplicação prática. O objetivo deste estudo é ilustrar a classificação das doenças neurometabólicas hereditárias baseada exclusivamente em achados radiológicos. Trata-se de um estudo retrospectivo a partir de exames de imagem do sistema nervoso central, particularmente de crianças, realizados em uma rede de hospitais. Todos os casos foram estudados por tomografia computadorizada multidetectores e/ou ressonância magnética, tendo sido avaliados por dois neurorradiologistas. Consideraram-se os casos com diagnóstico definitivo. A classificação propõe 10 subgrupos, de acordo com os achados radiológicos. Todos os casos estudados apresentaram, pelo menos, um desses achados. Na maioria dos casos observou-se mais de um achado, o que aumentou a especificidade e restringiu os diagnósticos diferenciais. Após avaliar os dados de literatura e os deste estudo, demonstra-se que é possível classificar as doenças neurometabólicas hereditárias pelo aspecto radiológico, o que favorece um diagnóstico definitivo.
Abstract 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.
RESUMO
PURPOSE: To evaluate the epidemiology of systematic reviews (SRs) published in imaging journals. METHODS: A MEDLINE search identified SRs published in imaging journals from 1 January 2000-31 December 2016. Articles retrieved were screened against inclusion criteria. Demographic and methodological characteristics were extracted from studies. Temporal trends were evaluated using linear regression and Pearson's correlation coefficients. RESULTS: 921 SRs were included that reported on 27,435 primary studies, 85,276,484 patients and were cited 26,961 times. The SR publication rate increased 23-fold (r=0.92, p<0.001) while the proportion of SRs to non-SRs increased 13-fold (r = 0.94, p<0.001) from 2000 (0.10%) to 2016 (1.33%). Diagnostic test accuracy (DTA) SRs were most frequent (46.5%) followed by therapeutic SRs (16.6%). Most SRs did not report funding status (54.2%). The median author team size was five; this increased over time (r=0.20, p<0.001). Of the studies, 67.3% included an imaging specialist co-author; this decreased over time (r=-0.57, p=0.017). Most SRs included a meta-analysis (69.6%). Journal impact factor positively correlated with SR publication rates (r=0.54, p<0.001). Magnetic resonance imaging (MRI) and 'vascular and interventional radiology' were the most frequently studied imaging modality and subspecialty, respectively. The USA, UK, China, Netherlands and Canada were the top five publishing countries. CONCLUSIONS: The SR publication rate is increasing rapidly compared with the rate of growth of non-SRs; however, they still make up just over 1% of all studies. Authors, reviewers and editors should be aware of methodological and reporting standards specific to imaging systematic reviews including those for DTA and individual patient data. KEY POINTS: ⢠Systematic review publication rate has increased 23-fold from 2000-2016. ⢠The proportion of systematic reviews to non-systematic reviews has increased 13-fold. ⢠The USA, UK and China are the most frequent published countries; those from the USA and China are increasing the most rapidly.