An Imaging-based Disease Model for Understanding Bone Health

用于了解骨骼健康的基于成像的疾病模型

• 批准号: 7680174
• 负责人: HOOSHANG KANGARLOO
• 金额: $ 57.75万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7680174
• 关键词: Address; Adolescent; Affect; Age; Aging; Algorithms; American; Architecture; Atlases; Bayesian Method; Belief; Biochemical; Bone Density; Bone Development; Childhood; Chronic Kidney Failure; Clinical; Clinical Data; Collection; Complication; Controlled Environment; Data; Databases; Development; Diagnosis; Disease; Disease model; Elderly; Environment; Ethnic Origin; Evaluation; Evaluation Research; Foundations; Fracture; Gender; Genetic; Hip Fractures; Homeostasis; Image; Imagery; Individual; Investigation; Kidney Diseases; Knowledge; Lead; Link; Magnetic Resonance; Measures; Medical; Methodology; Metric; Modeling; Morbidity - disease rate; Osteogenesis; Osteoporosis; Paraplegia; Patients; Peripheral; Play; Population; Prevalence; Process; Protocols documentation; Public Health; Race; Renal Osteodystrophy; Risk; Role; Shapes; Skeletal Development; Techniques; Time; Vitamin D; Woman; X-Ray Computed Tomography; base; bone; bone disuse atrophy; bone health; bone loss; bone mass; bone quality; cohort; computer based statistical methods; demographics; density; efficacy testing; healthy volunteer; high risk; men; mortality; novel; patient population; prognostic indicator; prospective; repository; research clinical testing; sex; statistics; substantia spongiosa; tool; urologic; volunteer; young adult

Osteoporosis, defined by a loss of bone mineral density, affects both men and women of all ages, and current projections indicate that the prevalence of this disease will grow dramatically over the next decade given the aging American population. However, it is increasingly recognized that bone density is not the only metric for bone health: other bone quality features, such as trabecular micro-architecture and shape, play a significant role in determining an individual's risk forfracture. Understanding bone health - both density and quality - at the peak of skeletal development can provide a better understanding of the starting point for osteoporosis. This project addresses the development of a disease model for bone development to better comprehend the genesis of osteoporosis. Developments include: 1) the use of quantitative magnetic resonance (qMR) to characterize bone development in a young adult normal population; 2) the further characterization of trabecular bone using qMR to assess bone quality; 3) the development of a (causal) Bayesian belief network (BBN) for the domain of bone development/health, integrating qMR values, imaging, and other observational data into a unified model; and 4) a visualization framework that uses the BBN to guide the display of medical data and explain phenomena, in addition to allowing users to directly query the belief network. Integrated displays using these methodologies are supported, in addition to investigation of graphical techniques for exploration of large causal models. Two patient populations provide the testbed for this effort: 1) a normal volunteer population, ages 20-30 years old, that will have dual-emission x-ray absorptiometry (DXA), peripheral quantitative computed tomography (pQCT), and qMR studies to create gender and race/ethnicity stratified atlases of normal bone density and quality; and 2) patients seen at UCLA Clark Urological Center who suffer from chronic renal disease resulting in osteoporotic conditions (e.g., renal osteodystrophy, disuse osteoporosis), thus providinga comparison against the normal component of this study. A sub-study examines the role of vitamin D on bone development within the abnormal population. Evaluation will be twofold: 1) technical evaluation of the research in a controlled environment; and 2) clinical evaluation to test the efficacy of the causal disease model and end user interfaces. Relation to public health. The thrust of this proposal is to lay a unified foundation for creating bone development model, leading to a better understanding of osteoporosis. Tools to assist in the creation of this model, allowing for explanation and exploration of medical data, will be developed.

骨质疏松症是由骨矿物质密度损失所定义的，会影响各个年龄段的男性和女性，并且 预测表明，鉴于该疾病的患病率将在未来十年中急剧增长 美国老年人口。但是，越来越多地认识到骨密度并不是唯一的度量 骨骼健康：其他骨质质量特征，例如小梁微体系结构和形状，发挥着重要作用 在确定个人的弗拉克风险中的作用。了解骨骼健康 - 密度和质量 - 在 骨骼发育的峰值可以更好地了解骨质疏松症的起点。 该项目涉及骨骼发育疾病模型的发展，以更好地理解 骨质疏松的起源。发展包括：1）使用定量磁共振（QMR） 表征年轻成人正常人群的骨骼发育； 2）进一步的表征 小梁骨使用QMR评估骨骼质量； 3）（因果）贝叶斯信仰网络的发展 （BBN）用于骨骼发育/健康的领域，整合QMR值，成像和其他观察力 将统一模型数据数据数据； 4）使用BBN指导医学显示的可视化框架 数据并解释现象，除了允许用户直接查询信念网络。融合的 除了研究图形技术外，还支持使用这些方法的显示 大型因果模型的探索。两个患者人群为这项工作提供了测试床：1）正常 20-30岁的志愿者人口将具有双发射X射线吸收法（DXA）， 外围定量计算机断层扫描（PQCT）和QMR研究以创建性别和种族/种族 正常骨密度和质量的分层图谱； 2）在UCLA Clark泌尿外科中心看到的患者 患有慢性肾脏疾病的人会导致骨质疏松症（例如 骨质疏松症），因此提供了与本研究正常成分的比较。一个次学生检查 维生素D在异常种群内的骨骼发育中的作用。评估将是双重的：1） 在受控环境中对研究的技术评估； 2）临床评估以测试功效 因果疾病模型和最终用户界面的。 与公共卫生有关。该提议的目的是为创造骨骼奠定统一的基础 发展模型，使人们对骨质疏松症有更好的了解。协助创建此工具 将开发模型，允许对医学数据进行解释和探索。