van der Knaap M S, Breiter S N, Naidu S, Hart A A, Valk J
Department of Child Neurology, Free University Hospital, Amsterdam, The Netherlands.
Radiology. 1999 Oct;213(1):121-33. doi: 10.1148/radiology.213.1.r99se01121.
To categorize leukoencephalopathies of unknown origin into a few major groups by using magnetic resonance (MR) imaging criteria to facilitate further studies, and to assess the possibility of defining "new" (i.e., until now unknown) disease entities within these major groups.
MR images of 92 patients (55 male, 37 female; mean age, 9.3 years) with a leukoencephalopathy were examined by using a scoring list of 68 items. Seven major categories were defined according to the predominant location of the white matter abnormalities. Statistical analysis was used to assess the validity of these seven categories.
Statistical analysis results showed that the seven categories could be well distinguished by either using the defining variables initially accepted as inclusion criteria or selecting a few other variables found to have discriminating value. The additional variables confirmed that the categories are essentially distinct and vary systematically with regard to items other than the inclusion criteria. The existence of two recently defined leukoencephalopathies was confirmed, but no consistent evidence of other new disease entities could be provided.
Establishing these seven categories helps in the interpretation of individual studies by demonstrating features that the patient has in common with other patients, and it may facilitate further research on homogeneous subgroups of patients and allow pooling of data across multiple centers.
通过使用磁共振(MR)成像标准,将不明原因的白质脑病归类为几个主要组,以促进进一步研究,并评估在这些主要组中定义“新的”(即迄今为止未知的)疾病实体的可能性。
使用包含68项内容的评分表,对92例白质脑病患者(55例男性,37例女性;平均年龄9.3岁)的MR图像进行检查。根据白质异常的主要部位定义了七个主要类别。采用统计分析评估这七个类别的有效性。
统计分析结果表明,通过使用最初作为纳入标准接受的定义变量或选择发现具有鉴别价值的其他一些变量,可以很好地区分这七个类别。额外的变量证实了这些类别本质上是不同的,并且在纳入标准以外的项目方面有系统地变化。证实了两种最近定义的白质脑病的存在,但未能提供其他新疾病实体的一致证据。
建立这七个类别有助于通过展示患者与其他患者共有的特征来解释个体研究,并且可能有助于对患者的同质亚组进行进一步研究,并允许跨多个中心汇总数据。