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: 10400153
• 负责人: CLIFFORD R. JACK
• 金额: $ 160.2万
• 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 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10400153
• 关键词: Aging; Agreement; Alzheimer' s Disease; Alzheimer' s disease patient; Alzheimer' s disease related dementia; Amyloid; Amyloid deposition; Big Data; Biochemistry; Biological Markers; Brain; Brain imaging; Brain region; Caring; Cerebrum; Clinical; Clinical Trials; Collection; Complex; Data; Data Collection; Data Set; Databases; Decision Making; Dedications; Dementia; Deposition; Development; Diagnosis; Diagnostic; Diffusion; Disease; Documentation; Epidemiology; Equipment; Evaluation; Exclusion; Genetic; Genetic Diseases; Glucose; Goals; Image; Individual; Infrastructure; Label; Laboratories; Laboratory Research; 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; Productivity; Protocols documentation; Psychometrics; Qualifying; 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; age related; brain volume; cerebral microbleeds; cerebrovascular lesion; cerebrovascular pathology; clinical practice; community center; comorbidity; cost; demographics; design; glucose metabolism; image archival system; image processing; imaging facilities; imaging modality; improved; innovation; large datasets; metabolic imaging; mobile computing; neuroimaging; neuropathology; novel; novel strategies; open source; programs; prospective; repository; searchable database; 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.

项目摘要 该应用程序的总体目标是创建一个支持和增强神经影像学的基础架构 美国国家老年痴呆症中心（ADC）计划的研究。 ADC程序是 完成了30个中心，这些中心购买了致力于增加我们对阿尔茨海默氏症的理解的研究目标 疾病（AD），以改善患者的诊断，护理和治疗。在过去的十年中， 神经影像学在这项任务中发挥了越来越重要的作用，随着新的测量大脑的方法 结构，功能和生物化学产生了用于诊断，机械和机械和的生物标志物 治疗研究。同时，神经影像学标准化的方法已被接受， 因此，我们希望成像的复杂性和成本，我们有能力结合在 不同的中心是为了回答需要大量数据集的广告的重要问题。这个项目将 专注于磁共振成像（MRI）和正电子发射断层扫描的标准化方法 （PET）图像。 MR标准化将解决结构和功能（无任务）MRI和PET 标准化将解决淀粉样蛋白，TAU和葡萄糖代谢成像。我们将与国家合作 阿尔茨海默氏症协调中心（NACC）开发用于安全上载和去识别的协议 NACC图像存储库中的图像，研究人员也将提供可搜索的数据库。 将制定MR和PET图像获取的标准，并使这些成像协议可用于 ADC社区。上载的图像将受到严格的质量控制和处理，以允许合并 在不同平台和宠物上获得的图像在不同的分辨率上获得。专业的实验室 在图像处理中，将产生脑脑脑血管病理学，脑容量的数值摘要数据， 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。这些 数值变量将存储在NACC中，将其链接到参与者的其他ADC相关数据 提供给研究人员。该程序的其他方面将包括一个带有文档的网站， 搜索功能和用户帮助功能。该项目的行政结构将涉及高管 委员会由参与实验室的成员以及NACC的代表 ADC和NIA。领导层将继续了解神经影像景观的变化，并结合 新的MR和PET措施的发展是标准化和传播商定的总体目标 - 根据最佳实践，同时不扼杀新的创新技术进步的发展。