Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease.
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease.
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DOI：
10.1093/brain/awp123
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发表时间：
2009-08
期刊：
影响因子：
--
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Desikan RS;Cabral HJ;Hess CP;Dillon WP;Glastonbury CM;Weiner MW;Schmansky NJ;Greve DN;Salat DH;Buckner RL;Fischl B;Alzheimer's Disease Neuroimaging Initiative
轻度认知障碍可以代表正常衰老和阿尔茨海默氏病之间的过渡状态。需要非侵入性诊断方法来识别早期治疗干预措施的轻度认知障碍个体。我们的目标是确定基于自动化的磁共振成像措施是否可以确定具有高度准确性的轻度认知障碍个体。使用自动化软件工具检查了来自两个独立队列的313个个体的基线体积加权磁共振成像扫描，以识别34个神经解剖区域的体积和平均厚度。第一个队列包括49个较旧的对照组和48个患有轻度认知障碍的人，而第二个队列包括94个旧对照和57个轻度认知障碍个体。还包括65例可能的阿尔茨海默氏病患者进行比较。为了区分轻度认知障碍，内嗅皮层的厚度，海马体积和超乳腺后流厚度表明曲线下的面积为0.91（特异性为94％，敏感性为74％，阳性可能性比率为12.12，负数为12.12，对第一个同时的可能性为0.29）。第二个队列的曲线下的面积为0.95（特异性91％，灵敏度为90％，阳性似然比10.0，阴性比率为0.11）。为了区分阿尔茨海默氏病，这三个措施表明了曲线下的面积为1.0。三种磁共振成像措施与临床和神经心理学评估以及tau，高磷酸化TAU和ABETA 42蛋白的脑脊液水平以及脑脊液水平显着相关。这些结果表明，自动磁共振成像措施可以作为疾病严重程度的体内替代物，潜在的神经病理学以及用于轻度认知障碍和阿尔茨海默氏病的非侵入性诊断方法。
Mild cognitive impairment can represent a transitional state between normal ageing and Alzheimer's disease. Non-invasive diagnostic methods are needed to identify mild cognitive impairment individuals for early therapeutic interventions. Our objective was to determine whether automated magnetic resonance imaging-based measures could identify mild cognitive impairment individuals with a high degree of accuracy. Baseline volumetric T1-weighted magnetic resonance imaging scans of 313 individuals from two independent cohorts were examined using automated software tools to identify the volume and mean thickness of 34 neuroanatomic regions. The first cohort included 49 older controls and 48 individuals with mild cognitive impairment, while the second cohort included 94 older controls and 57 mild cognitive impairment individuals. Sixty-five patients with probable Alzheimer's disease were also included for comparison. For the discrimination of mild cognitive impairment, entorhinal cortex thickness, hippocampal volume and supramarginal gyrus thickness demonstrated an area under the curve of 0.91 (specificity 94%, sensitivity 74%, positive likelihood ratio 12.12, negative likelihood ratio 0.29) for the first cohort and an area under the curve of 0.95 (specificity 91%, sensitivity 90%, positive likelihood ratio 10.0, negative likelihood ratio 0.11) for the second cohort. For the discrimination of Alzheimer's disease, these three measures demonstrated an area under the curve of 1.0. The three magnetic resonance imaging measures demonstrated significant correlations with clinical and neuropsychological assessments as well as with cerebrospinal fluid levels of tau, hyperphosphorylated tau and abeta 42 proteins. These results demonstrate that automated magnetic resonance imaging measures can serve as an in vivo surrogate for disease severity, underlying neuropathology and as a non-invasive diagnostic method for mild cognitive impairment and Alzheimer's disease.
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影响因子：
5.7
作者：
Jovicich J;Czanner S;Han X;Salat D;van der Kouwe A;Quinn B;Pacheco J;Albert M;Killiany R;Blacker D;Maguire P;Rosas D;Makris N;Gollub R;Dale A;Dickerson BC;Fischl B
通讯作者：
Fischl B
影响因子：
5.7
作者：
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影响因子：
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通讯作者：
Buckner, Randy L.
影响因子：
19.7
作者：
Colliot, Olivier;Chetelat, Gael;Lehericy, Stephane
通讯作者：
Lehericy, Stephane
影响因子：
3.7
作者：
Arnold, Steven E.;Hyman, Bradley T.;Van Hoesen, Gary W.
通讯作者：
Van Hoesen, Gary W.