Cartilage, Bone and Marrow Interactions in Knee OA

膝关节 OA 中软骨、骨和骨髓的相互作用

基本信息

批准号：
8654492
负责人：
Ravinder Regatte
金额：
$ 46.02万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-07-15 至 2016-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8654492
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

项目摘要

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.

描述（由申请人提供）：骨关节炎（OA）影响了超过5000万美国人，并对美国经济和医疗保健系统产生了重大影响。当前，这种使这种使人衰弱的疾病无法治愈，有效治疗充其量是症状缓解。常规的MR技术显示出有望鉴定通过软骨体积或表面纤颤确定的更微妙的形态改变。但是，即使是这些常规技术的更具创新性在预测膝盖OA进展方面也不一致。因此，对可靠，客观，无创和定量成像标记的需求很高，该标志在早期识别了风险人群。该赠款应用的长期目标是开发一种更有效的手段，即通过定量的膝关节关节评估软骨，小梁骨和骨髓来识别膝盖OA进展风险较高的个体。高分辨率，多核[23NA）和质子（1H）] MR成像方法，超高场系统（7T）的新型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。 OA可能会因许多危险因素而加剧，例如关节疾病，肥胖，创伤，半月板异常或韧带撕裂，生化，生物力学，遗传和环境。具体而言，我们将使用新颖的钠和质子微型MRI，采用模糊距离变换（FDT），数字拓扑分析（DTA）和张量分析的图像处理和可视化技术。我们将以纵向方式获得年龄和性别与OA受试者相匹配的高分辨率钠和质子MRI，以确定基线合并的风险概况是否可以预测30个月内严重的膝关节OA进展的风险人群。最后，我们将在基线检查中确定哪些相互作用（软骨骨，骨髓或软骨果或组合）将更好地预测30个月内严重的膝盖OA进展的潜在危险因素。一旦在人类膝关节中开发和验证，这些研究不仅会在最早的阶段诊断OA深刻影响，而且还可能在早期识别风险人群。我们预计软骨，骨头和骨髓之间的定量相互作用及其组合相互作用可能对设计膝盖OA进展而不是个体方法的风险概况有用。我们计划通过分包合同的OA患者的软骨，骨头和骨髓之间的这些紧密相互作用（爱荷华大学电气与计算机工程与放射学系Punam Saha博士）。赠款申请的重点与Nibib/NIAMS（NIH）生物工程研究赠款（BRG）计划的任务一致。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

7T MRI detects deterioration in subchondral bone microarchitecture in subjects with mild knee osteoarthritis as compared with healthy controls.

DOI：
10.1002/jmri.24683
发表时间：
2015-05
期刊：
JOURNAL OF MAGNETIC RESONANCE IMAGING
影响因子：
4.4
作者：
Chang, Gregory;Xia, Ding;Chen, Cheng;Madelin, Guillaume;Abramson, Steven B.;Babb, James S.;Saha, Punam K.;Regatte, Ravinder R.
通讯作者：
Regatte, Ravinder R.

Three-dimensional saturation transfer ³¹P-MRI in muscles of the lower leg at 3.0 T.

3.0 T 下小腿肌肉的三维饱和度传输 P-MRI。