Simmons Andrew, Westman Eric, Muehlboeck Sebastian, Mecocci Patrizia, Vellas Bruno, Tsolaki Magda, Kłoszewska Iwona, Wahlund Lars-Olof, Soininen Hilkka, Lovestone Simon, Evans Alan, Spenger Christian
NIHR Specialist Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust and King's College London and the MRC Centre for Neurodegeneration, King's College London, Institute of Psychiatry, London SE5 8AF, United Kingdom.
Ann N Y Acad Sci. 2009 Oct;1180:47-55. doi: 10.1111/j.1749-6632.2009.05063.x.
Here we describe the AddNeuroMed multicenter magnetic resonance imaging (MRI) study for longitudinal assessment in Alzheimer's disease (AD). The study is similar to a faux clinical trial and has been established to assess longitudinal MRI changes in AD, mild cognitive impairment (MCI), and healthy control subjects using an image acquisition protocol compatible with the Alzheimer's Disease Neuroimaging Initiative (ADNI). The approach consists of a harmonized MRI acquisition protocol across centers, rigorous quality control, a central data analysis hub, and an automated image analysis pipeline. Comprehensive quality control measures have been established throughout the study. An intelligent web-accessible database holds details on both the raw images and data processed using a sophisticated image analysis pipeline. A total of 378 subjects were recruited (130 AD, 131 MCI, 117 healthy controls) of which a high percentage (97.3%) of the T1-weighted volumes passed the quality control criteria. Measurements of normalized whole brain volume, whole brain cortical thickness, and point-by-point group-based cortical thickness measurements, demonstrating the power of the automated image analysis techniques employed, are reported.
在此，我们描述了AddNeuroMed多中心磁共振成像（MRI）研究，用于对阿尔茨海默病（AD）进行纵向评估。该研究类似于一项虚拟临床试验，旨在使用与阿尔茨海默病神经影像倡议（ADNI）兼容的图像采集方案，评估AD、轻度认知障碍（MCI）和健康对照受试者的MRI纵向变化。该方法包括各中心统一的MRI采集方案、严格的质量控制、一个中央数据分析中心以及一个自动化图像分析流程。在整个研究过程中都建立了全面的质量控制措施。一个智能的可通过网络访问的数据库保存了原始图像以及使用复杂图像分析流程处理后的数据的详细信息。总共招募了378名受试者（130名AD患者、131名MCI患者、117名健康对照），其中T1加权体积的高比例（97.3%）通过了质量控制标准。报告了标准化全脑体积、全脑皮质厚度以及基于逐点分组的皮质厚度测量结果，展示了所采用的自动化图像分析技术的效能。
