CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade

被引:32
|
作者
Yang, Xianfeng [1 ]
Tan, Ming Zhen [1 ]
Qiu, Anqi [1 ,2 ,3 ]
机构
[1] Natl Univ Singapore, Dept Bioengn, Singapore 117548, Singapore
[2] Natl Univ Singapore, Clin Imaging Res Ctr, Singapore 117548, Singapore
[3] Singapore Inst Clin Sci, Agcy Sci Technol & Res, Singapore, Singapore
来源
PLOS ONE | 2012年 / 7卷 / 12期
基金
英国医学研究理事会;
关键词
MILD COGNITIVE IMPAIRMENT; ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; HIPPOCAMPAL ATROPHY; DISEASE; MRI; RECOMMENDATIONS; BIOMARKERS; DEMENTIA;
D O I
10.1371/journal.pone.0047406
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cerebral spinal fluid (CSF) and structural imaging markers are suggested as biomarkers amended to existing diagnostic criteria of mild cognitive impairment (MCI) and Alzheimer's disease (AD). But there is no clear instruction on which markers should be used at which stage of dementia. This study aimed to first investigate associations of the CSF markers as well as volumes and shapes of the hippocampus and lateral ventricles with MCI and AD at the baseline and secondly apply these baseline markers to predict MCI conversion in a two-year time using the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Our results suggested that the CSF markers, including A beta 42, t-tau, and p-tau, distinguished MCI or AD from NC, while the A beta 42 CSF marker contributed to the differentiation between MCI and AD. The hippocampal shapes performed better than the hippocampal volumes in classifying NC and MCI, NC and AD, as well as MCI and AD. Interestingly, the ventricular volumes were better than the ventricular shapes to distinguish MCI or AD from NC, while the ventricular shapes showed better accuracy than the ventricular volumes in classifying MCI and AD. As the CSF markers and the structural markers are complementary, the combination of them showed great improvements in the classification accuracies of MCI and AD. Moreover, the combination of these markers showed high sensitivity but low specificity for predicting conversion from MCI to AD in two years. Hence, it is feasible to employ a cross-sectional sample to investigate dynamic associations of the CSF and imaging markers with MCI and AD and to predict future MCI conversion. In particular, the volumetric information may be good for the early stage of AD, while morphological shapes should be considered as markers in the prediction of MCI conversion to AD together with the CSF markers.
引用
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页数:7
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