Quantitative brain SPECT in Alzheimer's disease and normal aging.
Quantitative brain SPECT in Alzheimer's disease and normal aging.
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阿尔茨海默病和正常衰老中的定量脑部 SPECT。
DOI：
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发表时间：
1993
影响因子：
9.3
通讯作者：
B. Holman
中科院分区：
文献类型：
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作者：
K. Johnson;M. Kijewski;J. Becker;B. Garada;A. Satlin;B. Holman
为了提高脑单光子发射计算机断层扫描（SPECT）在阿尔茨海默病（AD）的诊断效用，我们已经开发和评估了一种客观的方法，区分患者和健康的老年人对照使用定量图像分析协议。将来自29名可能患有AD的患者和78名年龄匹配的对照的HMPAO-SPECT图像数据集配准到共同的解剖参考系。通过自动化程序确定120个标准化皮质体积内的活动水平。受试者被分为正常和AD组的二次判别分析使用两个功能：全球平均活动水平和平均归一化的活动水平内的两个集群的标准化体积确定为最显着不同的AD协方差分析。分类使用了半分重复法，以确保有效的结果。通过拟合数据的双正态ROC曲线下的面积量化的分类性能为0.923 +/- 0.036;在阈值似然比为1时，样本灵敏度为91%，特异性为86%。我们的结论是，定量SPECT准确地区分AD患者从老年对照组。
To improve the diagnostic utility of brain single-photon emission computed tomography (SPECT) in Alzheimer's disease (AD), we have developed and evaluated an objective method of differentiating patients and healthy elderly controls using a quantitative image analysis protocol. HMPAO-SPECT image datasets from 29 patients with probable AD and 78 age-matched controls were registered to a common anatomic frame of reference. Activity levels within 120 standardized cortical volumes were determined by an automated procedure. Subjects were classified into normal and AD groups by quadratic discriminant analysis using two features: global average activity level and average normalized activity levels within the two clusters of standardized volumes identified as most significantly different in AD by analysis of covariance. The classification used split-half replication to ensure valid results. Classification performance quantified by the area under a binormal ROC curve fitted to the data was 0.923 +/- 0.036; at a threshold likelihood ratio of 1, the sample sensitivity was 91% and specificity was 86%. We conclude that quantitative SPECT accurately distinguishes AD patients from elderly controls.