Imaging Biomarkers of Knee Osteoarthritis

膝骨关节炎的影像生物标志物

• 批准号: 9323286
• 负责人: Ravinder Regatte
• 金额: $ 62.84万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9323286
• 关键词: Affect; Biochemical; Biological Markers; Biological Models; Cartilage; Chondroitin Sulfates; Clinical; Clinical Protocols; Collagen; Collagen Fiber; Collagen Type II; Communities; Data; Degenerative polyarthritis; Development; Disease; Disease Progression; Early Diagnosis; Evaluation; Extracellular Matrix; Future; Goals; Healthcare Systems; Human; Hydration status; Image; Joints; Knee Injuries; Knee Osteoarthritis; Lead; Magnetic Resonance Imaging; Maps; Measurement; Methods; Monitor; Morphology; Multicenter Studies; Musculoskeletal; Organ; Outcome; Pain; Pathologic Processes; Patients; Performance; Pharmacologic Substance; Physiologic pulse; Population; Proteoglycan; Protocols documentation; Relaxation; Research; Research Personnel; Risk; Sampling; Scanning; Severity of illness; Site; Techniques; Therapeutic Agents; Time; Tissue Engineering; Tissues; Translating; Treatment Efficacy; Treatment Protocols; United States; Validation; Western Ontario and McMaster Universities Arthritis Index; absorption; articular cartilage; base; cartilage degradation; clinical research site; cohort; data space; healing; high risk; high risk population; imaging approach; imaging biomarker; in vivo; indexing; knee pain; macromolecule; non-invasive imaging; novel; personalized medicine; premature; prevent; reconstruction; repaired

PROJECT SUMMARY Osteoarthritis (OA) is a degenerative joint disease, affecting more than 27 million people in the United States alone. By 2030 approximately 67 million people will be affected by OA. This large affected population and the severe consequent debility of OA lead to significant expenses to the health care system. OA is characterized by biochemical, structural and morphologic degradation of components of the extracellular matrix (ECM) of articular cartilage. The ECM is composed of primarily two groups of macromolecules including proteoglycan (PG) and collagen fibers. Early diagnosis of cartilage degeneration would require the ability to non-invasively detect changes in PG concentration and collagen integrity before morphological changes occur. T1ρ and T2 relaxation times are affected by these pathological processes and are the most widely used biochemical cartilage MRI sequences worldwide. Several researchers have demonstrated that the T1ρ relaxation time is more sensitive to proteoglycan content of the cartilage, while T2 relaxation time is more sensitive to collagen orientation and integrity of network and hydration. These imaging biomarkers have potential to detect early stages of the disease (pre-clinical), quantitatively assess disease severity, monitor disease progression and possibly monitor OA therapy. The overarching goal of this proposal is to develop, evaluate and translate highly accelerated 3D-T1ρ and T2 mapping (each protocol under 5 minutes) for in-vivo knee OA applications on a standard clinical 3T scanner employing novel compressed sensing (CS) and parallel imaging (PI) strategies. The proposed accelerated 3D- T1ρ and T2 mapping techniques can be easily incorporated into routine clinical protocols for biochemical assessment of cartilage in addition to standard morphological evaluation and could serve as future imaging biomarkers for disease modifying therapies for OA. The outcome of this proposed study will significantly impact our ability for personalized treatment regimens and possibly prevent the development of premature OA. Finally, we intend on disseminating the sequences to other academic sites for widespread implementation and future multicenter studies.

项目总结 骨关节炎(OA)是一种退行性关节疾病，在美国有2700多万人患病 独自一人。到2030年，大约有6700万人将受到办公自动化的影响。这一庞大的受影响人口和 随之而来的严重的骨质疏松症导致医疗保健系统的巨额费用。办公自动化的特点是 通过生化、结构和形态降解细胞外基质(ECM)成分 关节软骨。细胞外基质主要由两组大分子组成，包括蛋白多糖。 (PG)和胶原纤维。软骨退行性变的早期诊断需要非侵入性的 在形态发生变化之前检测PG浓度和胶原完整性的变化。T1ρ和T2 松弛时间受这些病理过程的影响，是使用最广泛的生化方法 世界各地的软骨核磁共振序列。几位研究人员已经证明了T1ρ弛豫时间是 T2松弛时间对软骨的蛋白多糖含量更敏感，而T2松弛时间对胶原更敏感 网络和水化的方向性和完整性。这些成像生物标志物有可能及早发现 疾病阶段(临床前)，定量评估疾病严重程度，监测疾病进展和 可能会监督OA的治疗。 该计划的总体目标是开发、评估和翻译高速加速的3D-T1ρ和T2 在标准临床3T扫描仪上进行在体膝关节骨关节炎应用的标测(每种方案不超过5分钟) 采用新的压缩感知(CS)和并行成像(PI)策略。拟议的加速3D- T1、ρ和T2标测技术可以很容易地合并到常规的生化临床方案中 除了标准的形态评估外，还可以对软骨进行评估，并可作为未来的成像 骨关节炎疾病修正疗法的生物标记物。这项拟议研究的结果将对 我们的个性化治疗方案的能力，并可能防止早产儿骨性关节炎的发展。最后， 我们打算将这些序列传播到其他学术网站，以便广泛实施和未来 多中心研究。