Clinical Assessment in Neuropsychiatric Image Databases

神经精神图像数据库的临床评估

• 批准号: 6658143
• 负责人: JOSE V PARDO
• 金额: $ 27.25万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6658143
• 关键词: Alzheimer's disease; Internet; brain imaging /visualization /scanning; clinical research; computer human interaction; computer program /software; computer system design /evaluation; deoxyglucose; glucose metabolism; human subject; image processing; information systems; magnetic resonance imaging; mental disorder diagnosis; nervous system disorder diagnosis; neurology; neuropsychological tests; patient oriented research; positron emission tomography; psychiatry

DESCRIPTION (provided by applicant): This project aims to implement a database of neuropsychiatric PET images along with user-friendly, web-integrated tools to support neuropsychiatric clinical diagnosis and knowledge discovery (KDD). In Phase I, we seek to provide solutions to three mediate and compelling needs. First, to make fully informed diagnoses and prognoses, clinicians now require fast and easy access to normative databases to interpret, beyond routine visual inspection, functional brain images of individual patients. Second, sensitive and efficient searches, that have the power to control for demographic variables, call for large datasets of both normal subjects and patients. Neuroimaging databases do not typically contain subjects screened in detail for neuropsychiatric disease. Such screening is essential given the 32% lifetime prevalence of mental illnesses -- resulting in long-\ term structural and functional cnsequences. Third, improved and more powerful database management systems (DBMS) and specialized computer interface must support such datasets and their query. We propose the following Specific Aims: 1) To implement a relational, interoperable, web-distributed database containing PET image data, procedures, and results, along with general tools for visualization and analysis. 2) To incorporate into the database our extant data (approximately 6,000 PET scans) for archiving, storage, curation, and KDD; and to acquire (for clinical application) fifty normative glucose metabolic scans (FDG). 3) To develop a clinician?s interface; and 4) To evaluate Phase I results a) by specific application to the diagnosis of Alzheimer?s disease (AD); by testing the generalizability of reference datasets across facilities; and by crossvalidating with respect to clinical follow-up and autopsy. This project should provide the necessary infrastructure and validation to proceed in Phase II toward a web-distributed federation of databases containing control and neuropsychiatric data to support clinical care and research.

描述（由申请人提供）：该项目旨在实现一个数据库 神经精神 PET 图像以及用户友好的网络集成工具 支持神经精神病学临床诊断和知识发现（KDD）。 在第一阶段，我们寻求为三个调解和引人注目的问题提供解决方案 需要。首先，为了做出充分知情的诊断和预后，临床医生现在 需要快速、轻松地访问规范数据库来解释，超越 常规目视检查、个别患者的功能性脑图像。 其次，敏感而高效的搜索，有能力控制 人口统计变量，需要正常受试者和 患者。神经影像数据库通常不包含筛选的受试者 神经精神疾病的详细信息。鉴于 32%，此类筛查至关重要 精神疾病的终生患病率——导致长期——\ 术语结构和功能结果。三、改进更强大 数据库管理系统（DBMS）和专用计算机接口必须 支持此类数据集及其查询。 我们提出以下具体目标： 1）实现关系、 可互操作的网络分布式数据库，包含 PET 图像数据、程序、 和结果，以及用于可视化和分析的通用工具。 2) 至 将我们现有的数据（大约 6,000 次 PET 扫描）纳入数据库 用于归档、存储、管理和 KDD；并获得（用于临床 应用）五十次标准葡萄糖代谢扫描（FDG）。 3）开发一个 临床医生的界面； 4) 通过具体评估第一阶段的结果 在阿尔茨海默病（AD）诊断中的应用；通过测试 跨设施参考数据集的通用性；并由 临床随访和尸检的交叉验证。 该项目应提供必要的基础设施和验证 进入第二阶段，建立网络分布式数据库联盟 包含控制和神经精神数据以支持临床护理和 研究。