Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Osteoarthritis Cartilage. 2011 Feb;19(2):171-9. doi: 10.1016/j.joca.2010.11.009. Epub 2010 Nov 26.
A relationship between T1ρ relaxation time and glycosaminoglycan (GAG) content has been demonstrated in chemically degraded bovine cartilage, but has not been demonstrated with quantitative biochemistry in human cartilage. A relationship has also been established between T2 relaxation time in cartilage and osteoarthritis (OA) severity. We hypothesized that T1ρ relaxation time would be associated with GAG content in human cartilage with normal T2 relaxation times.
T2 relaxation time, T1ρ relaxation time, and glycosaminoglycan as a percentage of wet weight (sGAG) were measured for top and bottom regions at 7 anatomical locations in 21 human cadaver patellae. For our analysis, T2 relaxation time was classified as normal or elevated based on a threshold defined by the mean plus one standard deviation of the T2 relaxation time for all samples.
In the normal T2 relaxation time subset, T1ρ relaxation time correlated with sGAG content in the full-thickness and bottom regions, but only marginally in the top region alone. sGAG content decreased significantly with age in all regions.
In the subset of cartilage specimens with normal T2 relaxation time, T1ρ relaxation time was inversely associated with sGAG content, as hypothesized. A predictive model, which accounts for T2 relaxation time and the effects of age, might be able to determine longitudinal trends in GAG content in the same person based on T1ρ relaxation time maps.
在化学降解的牛软骨中已经证明了 T1ρ弛豫时间与糖胺聚糖(GAG)含量之间存在关系,但在人类软骨的定量生物化学中尚未得到证明。软骨中的 T2 弛豫时间与骨关节炎(OA)的严重程度之间也存在关系。我们假设 T1ρ弛豫时间与具有正常 T2 弛豫时间的人类软骨中的 GAG 含量相关。
在 21 个人体尸体髌骨的 7 个解剖位置的顶部和底部区域测量了 T2 弛豫时间、T1ρ弛豫时间和作为湿重百分比的糖胺聚糖(sGAG)。为了进行分析,根据所有样本的 T2 弛豫时间的平均值加上一个标准差定义的阈值,将 T2 弛豫时间分类为正常或升高。
在正常 T2 弛豫时间亚组中,T1ρ弛豫时间与全层和底部区域的 sGAG 含量相关,但仅在顶部区域略有相关。在所有区域,sGAG 含量随年龄显著下降。
在 T2 弛豫时间正常的软骨标本亚组中,正如假设的那样,T1ρ弛豫时间与 sGAG 含量呈负相关。一个预测模型,考虑了 T2 弛豫时间和年龄的影响,可能能够根据 T1ρ弛豫时间图来确定同一人 GAG 含量的纵向趋势。