T2 relaxation time in the OAI normal, incidence and progression cohorts

基于NIAMS赞助的OAI，这项研究将提供关于MR作用的独特信息， T2弛豫时间软骨生物标志物在预测和监测膝关节骨关节炎风险个体 与健康对照组相关的OA和早期OA因素。具体目标是： (1)采用半定量整体评分研究软骨和关节病变的患病率和分级， 器官磁共振成像评分（蠕虫）在正常人（n=100），个人从 年龄在45-70岁之间的OAI的发病率（风险因素）（n= 300）和进展（早期OA）（n=300）队列， 并分析这些评分与T2参数（均值、空间分布和层位）的关系 组织），并评估三组之间的相互关系。 (2)确定基线T2参数（平均值、空间分布和层流组织）是否可预测 蠕虫评分的纵向变化和WOMAC（西安大略和麦克马斯特）的增加，以及 2年和4年期间的KOOS（膝关节损伤和骨关节炎结局评分）指数。 (3)评估（i）T2参数（平均值、空间分布和层流）的纵向变化 组织）和（ii）与疼痛和功能变化相关的软骨和关节损伤进展 量表（WOMAC，KOOS），身体活动（PASE）和身体表现在2年和4年的时间。 将对MR成像研究进行半定量（蠕虫）和定量（T2弛豫时间）分析， 基线，2年和4年后。所有这些个体的临床信息（WOMAC评分， KOOS、PASE）以及膝关节功能测试（例如，400米步行、屈曲、伸展强度， 等长肌力测试）。 我们坚信，我们通过这种方式获得的知识进步 这项研究将帮助我们更好地了解T2值在OA演变和病理生理学中的作用。 比较我们在发病率和正常人群中的发现， 膝关节健康这项研究还可能为如何预防早期OA的发展提供证据， 减少由OA相关的残疾和疼痛引起的毁灭性经济成本。

Based on the NIAMS-sponsored OAI this study will provide unique information on the role of the MR based T2 relaxation time cartilage biomarker in predicting and monitoring knee osteoarthritis in individuals with risk factors for OA and early OA in relation to healthy controls. The specific aims are: (1) To study the prevalence and grade of cartilage and meniscal lesions using the semi-quantitative whole organ magnetic resonance imaging score (WORMS) in normal individuals (n=100), individuals from the incidence (risk factors) (n=300) and progression (early OA) (n=300) cohorts of the OAI aged 45-70 years, and to analyze the relationship of these scores with T2 parameters (mean, spatial distribution and laminar organization) and assess interrelationships between the 3 groups. (2) To determine if baseline T2 parameters (mean, spatial distribution and laminar organization) will predict longitudinal change in WORMS scores and increase in WOMAC (Western Ontario and McMasters) and KOOS (Knee Injury and Osteoarthritis Outcome Score) indices over a period of 2 and 4 years. (3) To assess the longitudinal change in (i) T2 parameters (mean, spatial distribution and laminar organization) and (ii) cartilage and meniscal lesion progression in relation to changes of pain and function scales (WOMAC, KOOS), physical activity (PASE) and physical performance over a period of 2 and 4 years. MR imaging studies will be analyzed semi-quantitatively (WORMS) and quantitatively (T2 relaxation time) at baseline, after 2 and 4 years. Clinical information will be available in all these individuals (WOMAC scores, KOOS, PASE) as well as knee function tests (e.g. 400-meter walk, flexion, extension strength through isometric strength testing). We strongly believe, that the advances in knowledge that we gain through this study will help us better understand the role of T2 values in relation to evolution and pathophysiology of OA. Comparing our findings in the incidence and normal cohorts, it may provide evidence how risk factors impact knee joint health. This study may also provide evidence on how to prevent development of early OA and reduce the devastating economic cost induced by disability and pain associated with OA.