SCAN: Standardized Centralized Alzheimer's and Related Dementias Neuroimaging

SCAN：标准化集中式阿尔茨海默病和相关痴呆症神经影像学

• 批准号: 9976317
• 负责人: CLIFFORD R. JACK
• 金额: $ 165.72万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9976317
• 关键词: Address; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Amyloid; Big Data; Biochemistry; Biological Markers; Brain; Brain imaging; Caring; Cerebrum; Clinical; Clinical Trials; Collection; Complex; Data; Data Collection; Data Set; Databases; Decision Making; Dementia; Deposition; Development; Diagnosis; Diagnostic; Diffusion; Disease; Documentation; Ensure; Epidemiology; Equipment; Evaluation; Genetic Diseases; Glucose; Goals; Image; Individual; Infrastructure; Label; Laboratories; Laboratory Research; Lead; Leadership; Link; Magnetic Resonance Imaging; Measurement; Measures; Methods; Mission; Modeling; Multimodal Imaging; National Institute on Aging; Participant; Patients; Perfusion; Phenotype; Play; Positron-Emission Tomography; Procedures; Protocols documentation; Psychometrics; Quality Control; Recommendation; Registries; Reporting; Research; Research Personnel; Resolution; Resources; Role; Sampling; Science; Secure; Sleep; Standardization; Structure; Surveys; Therapeutic Studies; Thick; Time; White Matter Hyperintensity; Work; abeta deposition; age related; brain volume; cerebral microbleeds; cerebrovascular lesion; cerebrovascular pathology; clinical biomarkers; clinical practice; community center; comorbidity; cost; demographics; design; genetic epidemiology; glucose metabolism; image processing; imaging modality; improved; innovation; large datasets; metabolic imaging; mobile computing; neuroimaging; neuropathology; novel; novel strategies; open source; programs; prospective; repository; tau Proteins; virtual; web site

PROJECT SUMMARY This overall goal of this application is to create an infrastructure for supporting and augmenting neuroimaging research in the National Institute of Aging’s Alzheimer’s Disease Centers (ADC) Program. The ADC program is comprised of 30 centers that pursue research goals dedicated to increasing our understanding of Alzheimer’s disease (AD) with a view towards improving diagnosis, care, and treatment of patients. Over the past decade, neuroimaging has played an increasingly important role in this mission, as new approaches to measuring brain structure, function, and biochemistry have produced biomarkers useful in diagnostic, mechanistic, and therapeutic studies. At the same time, methods for standardization of neuroimaging have become accepted, such that, despite the complexity and cost of imaging, we have the ability to combine images obtained at different centers in order to answer important questions about AD that require large datasets. This project will focus on standardizing approaches to magnetic resonance imaging (MRI) and positron emission tomography (PET) images. MR standardization will address structural and functional (task-free) MRI, and PET standardization will address amyloid, tau, and glucose metabolic imaging. We will work with the National Alzheimer’s Coordinating Center (NACC) to develop protocols for securely uploading and de-identifying all images at a NACC image repository, where a searchable database will also be available to researchers. We will develop standards for MR and PET image acquisition, and make these imaging protocols available to the ADC community. Uploaded images will undergo rigorous quality control and processing to permit merging of images obtained on different platforms and, for PET, at different resolutions. Laboratories that have specialized in image processing will produce numerical summary data of brain cerebrovascular pathology, brain volumes, perfusion, diffusion, and cortical thickness, amyloid and tau deposition, and glucose metabolism. These numerical variables will be stored at NACC where it will be linked to other ADC-related data on participants and made available to researchers. Additional aspects of the program will include a website with documentation, search functions, and user help functions. The administrative structure of the project will involve an executive committee with membership from the participating laboratories as well as representation from the NACC, the ADCs, and NIA. Leadership will remain apprised of changes in the neuroimaging landscape, and incorporate new MR and PET measures as they develop with the overall goal of standardizing and disseminating agreed- upon best practices while not stifling the development of new, innovative technical advances.

项目概要 该应用程序的总体目标是创建一个用于支持和增强神经成像的基础设施 国家老龄化研究所阿尔茨海默病中心 (ADC) 项目的研究 ADC 项目是。 由 30 个研究中心组成，致力于增进我们对阿尔茨海默病的了解 疾病（AD），以改善患者的诊断、护理和治疗在过去的十年中， 随着测量大脑的新方法的出现，神经影像学在这一任务中发挥着越来越重要的作用 结构、功能和生物化学产生了可用于诊断、机制和 与此同时，神经影像学标准化方法已被接受。 这样，尽管成像的复杂性和成本，我们仍然能够组合在以下位置获得的图像： 为了回答需要大量数据集的有关 AD 的重要问题，该项目将在不同的中心进行。 专注于磁共振成像 (MRI) 和正电子发射断层扫描方法的标准化 (PET) 图像标准化将解决结构和功能（无任务）MRI 和 PET 问题。 我们将与国家实验室合作解决淀粉样蛋白、tau 蛋白和葡萄糖代谢成像的标准化问题。 阿尔茨海默病协调中心 (NACC) 将开发安全上传和取消识别所有内容的协议 图像存储在 NACC 图像存储库中，研究人员也可以在该存储库中使用可搜索的数据库。 将制定 MR 和 PET 图像采集标准，并将这些成像协议提供给 ADC 社区上传的图像将经过严格的质量控制和处理，以允许合并。 在不同的平台上获得的图像，对于 PET，在不同的实验室具有专门的分辨率。 在图像处理中将产生脑脑血管病理学、脑体积、 灌注、扩散和皮质厚度、淀粉样蛋白和 tau 沉积以及葡萄糖代谢。 数值变量将存储在 NACC 中，并与参与者的其他 ADC 相关数据相关联 该计划的其他方面将包括一个包含文档的网站， 项目的管理结构将涉及执行人员。 委员会由参与实验室的成员以及 NACC、 ADC 和 NIA 领导层将继续了解神经影像领域的变化，并将其纳入其中。 新的 MR 和 PET 措施的制定总体目标是标准化和传播商定的 基于最佳实践，同时不抑制新的创新技术进步的发展。