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脑部局部质子磁共振波谱分析可鉴别儿童先天性代谢性脑病。

Localized proton magnetic resonance spectroscopy of the brain differentiates the inborn metabolic encephalopathies in children.

作者信息

Chabrol B, Salvan A M, Confort-Gouny S, Vion-Dury J, Cozzone P J

机构信息

Centre de résonance magnétique biologique et médicale, URA CNRS 1186, faculté de M3decine, Marseille, France.

出版信息

C R Acad Sci III. 1995 Sep;318(9):985-92.

PMID:8521083
Abstract

Localized brain proton magnetic resonance spectroscopy (MRS) has been performed using a STEAM (stimulated echo-acquisition mode) method with a short-echo time (20 ms) in 10 children suffering from different lysosomal diseases, 6 boys with X-linked adrenoleukodystrophy (X-ALD) and 5 healthy children. Metabolic data from localized spectra were processed by principal component analysis (PCA) of 7 metabolic variables recorded on the MR spectra. PCA allows to delineate different clusters corresponding to the 2 pathological groups which are separated from each other and from the control group. The position of each spectrum on the patient map correlates with the clinical data and to the evolution of the patients subjected to a follow-up. These results also confirm the metabolic features characterizing the pathologies of the lysosome (increase in inositol) and the peroxisome (increase in choline and free lipids). PCA constitutes an alternative to the classical statistical methods to analyze and compare metabolic modifications in small populations of patients and allows to identify the most critical parameters defining the organization of the pathological populations. This analysis clearly increases the discrimination among pathologies based on the metabolic profiles obtained by MRS.

摘要

已使用短回波时间(20毫秒)的激励回波采集模式(STEAM)方法,对10名患有不同溶酶体疾病的儿童、6名患有X连锁肾上腺脑白质营养不良(X-ALD)的男孩以及5名健康儿童进行了局部脑质子磁共振波谱(MRS)检查。通过对磁共振波谱记录的7个代谢变量进行主成分分析(PCA),处理来自局部波谱的代谢数据。PCA能够描绘出对应于两个病理组的不同聚类,这两个病理组彼此分离且与对照组分离。患者图谱上每个波谱的位置与临床数据以及接受随访患者的病情发展相关。这些结果还证实了溶酶体疾病(肌醇增加)和过氧化物酶体疾病(胆碱和游离脂质增加)的代谢特征。PCA构成了一种替代传统统计方法的手段,用于分析和比较小患者群体中的代谢变化,并能够识别定义病理群体组织的最关键参数。该分析明显提高了基于MRS获得的代谢谱对不同疾病的鉴别能力。

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