INFRARED-SPECTRA OF HUMAN CENTRAL-NERVOUS-SYSTEM TISSUE - DIAGNOSIS OF ALZHEIMERS-DISEASE BY MULTIVARIATE ANALYSES
INFRARED-SPECTRA OF HUMAN CENTRAL-NERVOUS-SYSTEM TISSUE - DIAGNOSIS OF ALZHEIMERS-DISEASE BY MULTIVARIATE ANALYSES
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DOI：
10.1002/bspy.350010208
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发表时间：
1995-01-01
期刊：
影响因子：
--
通讯作者：
MANTSCH, HH
中科院分区：
文献类型：
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作者：
CHOO, LP;MANSFIELD, JR;MANTSCH, HH
我们提出了阿尔茨海默病（AD）病理特征的红外（IR）光谱视图，以及使用几种多变量方法对光谱数据进行非主观分类的方法。结果表明，红外光谱可以潜在地用于从尸检组织中诊断AD。虽然可以通过视觉检查AD灰质的红外光谱检测到一些似乎与疾病过程相关的光谱特征，但这些特征的外观是不一致的。使用光谱数据的多变量分析可以获得更成功（一致）的诊断。结果表明，通过标准病理方法将脑白质和灰质正确分类为重度、中度和轻度受累，使用适当方法的成功率大于90%。将组织分类为对照或AD的成功率为100%。(C) 1995 John Wiley & Sons, Inc.；
We present an infrared (IR) spectroscopic view of the pathological features of Alzheimer's disease (AD), along with a means of classifying the spectroscopic data nonsubjectively using several multivariate methods. The results demonstrate that IR spectroscopy can potentially be used in the diagnosis of AD from autopsy tissue. Although several spectral features that appear to be related to the disease process can be detected by a visual inspection of the IR spectra of AD grey matter, the appearance of these features was inconsistent. A more successful (consistent) diagnosis is achieved using multivariate analysis of the spectroscopic data. It is shown that correct classification of white and grey matter from brains identified by standard pathological methods as heavily, moderately, and minimally involved can be achieved with success rates of greater than 90% using appropriate methods. Classification of tissue as either control or AD was achieved with a success rate of 100%. (C) 1995 John Wiley & Sons, Inc.