Suppr超能文献

利用质子磁共振波谱对人脑肿瘤进行准确的非侵入性诊断。

Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy.

作者信息

Preul M C, Caramanos Z, Collins D L, Villemure J G, Leblanc R, Olivier A, Pokrupa R, Arnold D L

机构信息

Department of Neurology & Neurosurgery, Montreal Neurological Institute and Hospital, Quebec, Canada.

出版信息

Nat Med. 1996 Mar;2(3):323-5. doi: 10.1038/nm0396-323.

Abstract

Although conventional proton magnetic resonance imaging has increased our ability to detect brain tumors, it has not enhanced to nearly the same degree our ability to diagnose tumor type. Proton magnetic resonance spectroscopy is a safe, noninvasive means of performing biochemical analysis in vivo. Using this technique, we characterized and classified tissue from normal brains, as well as tissue from the five most common types of adult supratentorial brain tumors. These six tissue types differed in their pattern across the six metabolites measured. 'Leaving-one-out' linear discriminant analyses based on these resonance profiles correctly classified 104 of 105 spectra, and, whereas conventional preoperative clinical diagnosis misclassified 20 of 91 tumors, the linear discriminant analysis approach missed only 1. Thus, we have found that a pattern-recognition analysis of the biochemical information obtained from proton magnetic resonance spectroscopy can enable accurate, noninvasive diagnosis of the most prevalent types of supratentorial brain tumors.

摘要

尽管传统的质子磁共振成像提高了我们检测脑肿瘤的能力,但在诊断肿瘤类型方面,其提升程度远不及前者。质子磁共振波谱学是一种在体内进行生化分析的安全、非侵入性方法。利用该技术,我们对正常脑组织以及五种最常见的成人幕上脑肿瘤组织进行了特征描述和分类。这六种组织类型在所测量的六种代谢物的模式上存在差异。基于这些共振谱的“留一法”线性判别分析正确分类了105个光谱中的104个,而传统的术前临床诊断将91个肿瘤中的20个误诊,线性判别分析方法仅误诊了1个。因此,我们发现,对从质子磁共振波谱学获得的生化信息进行模式识别分析,可以实现对最常见类型的幕上脑肿瘤的准确、非侵入性诊断。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验