Barkovich A J
Neuroradiology Section, Department of Radiology, University of California at San Francisco, 505 Parnassus Avenue, Room L371, San Francisco, CA 94143-0628, USA.
J Neuroradiol. 2007 May;34(2):75-88. doi: 10.1016/j.neurad.2007.01.125.
Inborn errors of metabolism are a difficult group of disorders for the neuroradiologist, as there are few good clinical or neuroradiological criteria for differentiating them. In this review, a technique of diagnosis by pattern recognition, supplemented by metabolic data from proton MR spectroscopy and microstructural data, as assessed by diffusion weighted images, is presented. Proper use of these neuroimaging tools can be very useful for separating these disorders into more manageable groups, and sometimes allows a specific diagnosis to be made.
对于神经放射科医生来说，先天性代谢缺陷是一类诊断困难的疾病，因为几乎没有很好的临床或神经放射学标准来鉴别它们。在这篇综述中，介绍了一种通过模式识别进行诊断的技术，并辅以质子磁共振波谱的代谢数据和扩散加权成像评估的微观结构数据。合理使用这些神经影像学工具对于将这些疾病分类为更易于处理的组非常有用，有时还能做出明确诊断。
