Ventricular shape biomarkers for Alzheimer's disease in clinical MR images
Ventricular shape biomarkers for Alzheimer's disease in clinical MR images
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DOI：
10.1002/mrm.21471
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发表时间：
2008-02-01
影响因子：
3.3
通讯作者：
Admiraal-Behloul, Faiza
中科院分区：
文献类型：
--
作者：
Ferrarini, Luca;Palm, Walter M.;Admiraal-Behloul, Faiza
这项工作的目的是确定心室形状为基础的生物标志物在MR图像中区分阿尔茨海默病（AD）患者和健康的老年人。收集了58例患者和28例年龄匹配的健康对照者的临床MR图像。在标准化所有图像后，半自动提取每个受试者的脑室脑脊液，并应用全自动形状建模的创新技术来生成所有脑室的可比网格。通过重复排列检验进行潜在生物标志物的搜索：结果突出显示心室表面的明确区域是AD的区分特征：左下内侧颞角、右内侧颞角（上级和下级）以及靠近胼胝体左前部和右尾状核头部的区域。然后将生物标志物用作特征来构建用于AD检测的智能机器：在AD和健康受试者上训练支持向量机，随后对先前未见过的病例进行遗漏实验和验证测试。结果显示，AD的灵敏度为76%，总体准确度为84%，证明可以在临床MR图像中检测到AD的合适生物标志物。
The aim of this work was to identify ventricular shape-based biomarkers in MR images to discriminate between patients with Alzheimer's disease (AD) and healthy elderly. Clinical MR Images were collected for 58 patients and 28 age-matched healthy controls. After normalizing all the images the ventricular cerebrospinal fluid was semiautomatically extracted for each subject and an innovative technique for fully automatic shape modeling was applied to generate comparable meshes of all ventricles. The search for potential biomarkers was carried out with repeated permutation tests: results highlighted well-defined areas of the ventricular surface being discriminating features for AD: the left inferior medial temporal horn, the right medial temporal horn (superior and inferior), and the areas close to the left anterior part of the corpus callosum and the head of the right caudate nucleus. The biomarkers were then used as features to build an intelligent machine for AD detection: a Support Vector Machine was trained on AD and healthy subjects and subsequently tested with leave-1-out experiments and validation tests on previously unseen cases. The results showed a sensitivity of 76% for AD, with an overall accuracy of 84%, proving that suitable biomarkers for AD can be detected in clinical MR images.