Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease.
Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease.
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DOI：
10.1016/j.nicl.2012.10.002
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发表时间：
2012
影响因子：
4.2
通讯作者：
Collins, D. Louis
中科院分区：
文献类型：
--
作者：
Coupe, Pierrick;Eskildsen, Simon F.;Manjon, Jose V.;Fonov, Vladimir S.;Pruessner, Jens C.;Allard, Michele;Collins, D. Louis
关键词：
在阿尔茨海默病（AD）的病理早期阶段检测是加速新疗法开发和改善治疗的重要任务。与阿尔茨海默病检测相比，在轻度认知障碍（MCI）或MCI前期使用结构MRI预测阿尔茨海默病更为复杂，因为相关的解剖变化更为微妙。在这项研究中，我们分析了最近提出的一种方法SNIPE （Scoring by Nonlocal Image Patch Estimator）的能力，该方法通过分析整个ADNI数据库（834次扫描）的内嗅皮质（EC）和海马体（HC）评分来预测AD。使用体积和分级生物标志物研究了SNIPE的检测（AD vs. CN）和预测（进展性pMCI vs.稳定性sMCI）效率。首先，我们的研究结果表明，基于分级的生物标志物比基于体积的生物标志物更能用于预测。其次，我们发现基于hc的生物标志物在预测方面比基于ec的生物标志物更重要。第三，我们证明了SNIPE获得的结果与单独或组合使用HC体积，皮质厚度和基于张量的形态测定法获得的独立研究结果相似或更好。第四，与基于补丁的新方法的比较表明，SNIPE中涉及的非局部冗余策略与基于局部稀疏的新方法获得了相似的结果。最后，我们提出了基于斑块形态学的第一个结果来说明病理的进展。
Detection of Alzheimer's disease (AD) at the first stages of the pathology is an important task to accelerate the development of new therapies and improve treatment. Compared to AD detection, the prediction of AD using structural MRI at the mild cognitive impairment (MCI) or pre-MCI stage is more complex because the associated anatomical changes are more subtle. In this study, we analyzed the capability of a recently proposed method, SNIPE (Scoring by Nonlocal Image Patch Estimator), to predict AD by analyzing entorhinal cortex (EC) and hippocampus (HC) scoring over the entire ADNI database (834 scans). Detection (AD vs. CN) and prediction (progressive — pMCI vs. stable — sMCI) efficiency of SNIPE were studied using volumetric and grading biomarkers. First, our results indicate that grading-based biomarkers are more relevant for prediction than volume-based biomarkers. Second, we show that HC-based biomarkers are more important than EC-based biomarkers for prediction. Third, we demonstrate that the results obtained by SNIPE are similar to or better than results obtained in an independent study using HC volume, cortical thickness, and tensor-based morphometry, individually and in combination. Fourth, a comparison of new patch-based methods shows that the nonlocal redundancy strategy involved in SNIPE obtained similar results to a new local sparse-based approach. Finally, we present the first results of patch-based morphometry to illustrate the progression of the pathology.
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影响因子：
1.3
作者：
COLLINS, DL;NEELIN, P;EVANS, AC
通讯作者：
EVANS, AC
影响因子：
5.7
作者：
Cho Y;Seong JK;Jeong Y;Shin SY;Alzheimer's Disease Neuroimaging Initiative
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
5.7
作者：
Atienza, M.;Atalaia-Silva, K. C.;Cantero, J. L.
通讯作者：
Cantero, J. L.
影响因子：
5.7
作者：
Fonov V;Evans AC;Botteron K;Almli CR;McKinstry RC;Collins DL;Brain Development Cooperative Group
通讯作者：
Brain Development Cooperative Group
影响因子：
7.8
作者：
Cawley, GC;Talbot, NLC
通讯作者：
Talbot, NLC