Cartilage, Bone and Marrow Interactions in Knee OA

膝关节 OA 中软骨、骨和骨髓的相互作用

• 批准号: 8109384
• 负责人: Ravinder Regatte
• 金额: $ 47.89万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2015-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8109384
• 关键词: Address; Adopted; Adult; Affect; Age; American; Anisotropy; Applications Grants; Behavior; Biochemical; Biological Markers; Biomechanics; Biomedical Engineering; Bone Marrow; Bone Surface; Cartilage; Cartilage Diseases; Chronic; Clinical; Clinical assessments; Collaborations; Computers; Data Set; Degenerative polyarthritis; Diagnosis; Disease; Disease Progression; Engineering; Environment; Future; Gender; Genetic; Goals; Healthcare Systems; Human; Image; Imagery; Imaging Techniques; Individual; Iowa; Joints; Knee; Knee Osteoarthritis; Knee joint; Ligaments; Magnetic Resonance Imaging; Maps; Marrow; Measures; Mechanics; Methods; Metric; Mission; Molecular; Morphologic artifacts; Morphology; Motion; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Biomedical Imaging and Bioengineering; Noise; Nuclear; Obesity; Pathology; Patients; Physiologic pulse; Play; Population; Populations at Risk; Process; Property; Proteoglycan; Protocols documentation; Protons; Quality of life; Radiology Specialty; Reproducibility; Research Project Grants; Resolution; Risk; Risk Assessment; Risk Factors; Role; Scanning; Sclerosis; Severities; Severity of illness; Signal Transduction; Sodium; Specificity; Staging; Surface; Symptoms; System; Techniques; Technology; Time; Tissues; Translating; Trauma; United States National Institutes of Health; Universities; Weight-Bearing state; aged; articular cartilage; base; bone; bone imaging; bone quality; density; design; digital; effective therapy; high risk; human subject; image processing; in vivo; indexing; innovation; joint stress; novel; novel strategies; programs; public health relevance; substantia spongiosa

DESCRIPTION (provided by applicant): Osteoarthritis (OA) affects over 50 million Americans and has a substantial impact on the US economy and the health care system. Currently, there is no cure for this debilitating disease and the effective treatment is, at best, focused on symptomatic relief. The conventional MR techniques have shown promise for the identification of more subtle morphologic alterations as determined by cartilage volume, or surface fibrillation. However, even the more innovative of these conventional techniques have not been consistent in predicting the knee OA progression. Therefore, there is a high demand for reliable, objective, non-invasive and quantitative imaging markers that identifies the risk population at early stage. The long-term objective of this grant application is to develop a more effective means of identifying individuals at higher risk for knee OA progression via quantitative knee joint assessment of cartilage, trabecular bone and bone marrow. High- resolution, multi-nuclear [sodium (23Na) and proton (1H)] MR imaging approaches, novel image post- processing and visualization methods at ultra-high field system (7T) will significantly impact the objective assessment of OA pathology. OA may be aggravated by many risk factors such as joint malalignment, obesity, trauma, meniscal abnormalities or cruciate ligament tears, biochemical, biomechanical, genetic, and environmental. Specifically, we will use novel sodium and proton micro-MRI, image-processing and visualization technologies employing fuzzy distance transform (FDT), digital topological analysis (DTA) and tensor analysis. We will acquire high resolution sodium and proton MRI of age-and gender matched OA subjects in a longitudinal fashion to determine whether baseline combined risk profile can predict risk population for severe knee OA progression over 30 months period. Finally, we will identify which interactions (cartilage-bone, bone-marrow or cartilage-marrow or combination of all three etc) at baseline exam will better predict the potential risk factor for severe knee OA progression over 30 months period. Once developed and validated in human knee joint, these studies will profoundly affect not only to diagnose OA in its earliest stages but also possibly identifies the risk population at early stage. We anticipate that the quantitative interactions among the cartilage, bone and marrow and their combined interactions may be useful to design a risk profile for knee OA progression rather than individual approach. We plan to address these close interactions between cartilage, bone and marrow in OA patients with external collaboration through subcontract (Dr. Punam Saha, Department of Electrical & Computer Engineering and Radiology, University of Iowa). The focus of the grant application is consistent with the mission of the NIBIB/NIAMS (NIH) bioengineering research grant (BRG) program. PUBLIC HEALTH RELEVANCE: Osteoarthritis (OA) affects ~6% of the US adult population and ~12-13% of those aged 60 and over. It has a substantial negative impact on the economy and the health care system. The current R01 proposal will develop a more effective means of identifying individuals at higher risk for OA progression via quantitative assessment of whole knee joint via ultra high field (7T) MRI system.

描述（由申请人提供）：骨关节炎 (OA) 影响超过 5000 万美国人，并对美国经济和医疗保健系统产生重大影响。目前，这种使人衰弱的疾病无法治愈，有效的治疗充其量只是缓解症状。传统的磁共振技术已显示出通过软骨体积或表面纤维颤动来识别更细微的形态变化的希望。然而，即使这些传统技术更具创新性，在预测膝关节 OA 进展方面也不一致。因此，迫切需要可靠、客观、无创、定量的影像标记物来早期识别风险人群。该拨款申请的长期目标是开发一种更有效的方法，通过对软骨、小梁骨和骨髓进行定量膝关节评估来识别膝关节骨关节炎进展风险较高的个体。高分辨率、多核[钠 (23Na) 和质子 (1H)] MR 成像方法、超高场系统 (7T) 的新颖图像后处理和可视化方法将显着影响 OA 病理学的客观评估。许多危险因素可能会加剧骨关节炎，例如关节排列不良、肥胖、创伤、半月板异常或十字韧带撕裂、生化、生物力学、遗传和环境。具体来说，我们将使用新型钠和质子显微 MRI、图像处理和可视化技术，其中包括模糊距离变换 (FDT)、数字拓扑分析 (DTA) 和张量分析。我们将以纵向方式获取年龄和性别匹配的 OA 受试者的高分辨率钠和质子 MRI，以确定基线组合风险状况是否可以预测 30 个月内严重膝关节 OA 进展的风险人群。最后，我们将确定基线检查时哪些相互作用（软骨-骨、骨髓或软骨-骨髓或所有三者的组合等）将更好地预测 30 个月内严重膝关节 OA 进展的潜在风险因素。一旦在人类膝关节中得到开发和验证，这些研究不仅将深刻影响骨关节炎的早期诊断，而且可能在早期识别风险人群。我们预计软骨、骨骼和骨髓之间的定量相互作用及其组合相互作用可能有助于设计膝关节 OA 进展的风险概况，而不是单独的方法。我们计划通过分包（爱荷华大学电气与计算机工程和放射学系的 Punam Saha 博士）与外部合作来解决 OA 患者软骨、骨骼和骨髓之间的密切相互作用。拨款申请的重点与 NIBIB/NIAMS (NIH) 生物工程研究拨款 (BRG) 计划的使命一致。 公共卫生相关性：骨关节炎 (OA) 影响约 6% 的美国成年人口和约 12-13% 的 60 岁及以上老年人口。它对经济和医疗保健系统产生重大负面影响。当前的 R01 提案将开发一种更有效的方法，通过超高场 (7T) MRI 系统对整个膝关节进行定量评估，来识别 OA 进展风险较高的个体。