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: 10819797
• 负责人: CLIFFORD R. JACK
• 金额: $ 58.26万
• 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/10819797
• 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.

项目总结 此应用程序的总体目标是创建用于支持和增强神经成像的基础设施 国家老年研究所阿尔茨海默氏病中心(ADC)项目的研究。ADC计划是 由30个中心组成，这些中心追求致力于增加我们对阿尔茨海默氏症的了解的研究目标 疾病(AD)，以期改善患者的诊断、护理和治疗。在过去的十年里， 作为测量大脑的新方法，神经成像在这项任务中扮演着越来越重要的角色。 结构、功能和生物化学产生了在诊断、机制和治疗方面有用的生物标志物 治疗性研究。与此同时，神经成像标准化的方法已经被接受， 这样，尽管成像的复杂性和成本很高，我们仍有能力将在 不同的中心，以回答有关AD的重要问题，需要大型数据集。这个项目将 重点介绍磁共振成像(MRI)和正电子发射断层扫描的标准化方法 (宠物)图像。MR标准化将解决结构和功能(无任务)MRI和PET 标准化将涉及淀粉样蛋白、tau和葡萄糖代谢成像。我们将与国家 阿尔茨海默氏症协调中心(NACC)开发安全上传和取消识别所有 NACC图像库中的图像，研究人员也将在那里获得可搜索的数据库。我们 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 在不同平台上获得的图像，对于PET，以不同的分辨率获得。拥有专门技术的实验室 在图像处理中将产生脑血管病理、脑体积、 灌注、弥散和皮质厚度，淀粉样蛋白和tau沉积，以及葡萄糖代谢。这些 数字变量将存储在NACC中，在那里它将链接到其他与ADC相关的参与者数据和 提供给研究人员。该计划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。该项目的管理结构将包括一名执行人员 由参与实验室的成员和NACC的代表组成的委员会， ADC和NIA。领导层将随时了解神经成像领域的变化，并将 制定新的MR和PET措施，总体目标是标准化和传播商定的- 在不扼杀新的、创新的技术进步的发展的同时，遵循最佳做法。