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MR Study of Longitudinal Variations in Proximal Femur 3D Morphological Shape and Associations With Cartilage Health in Hip Osteoarthritis

机译:髋骨关节炎的股骨3D形态和与软骨健康关系的纵向变化的MR研究。

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摘要

The goal of this study was to use quantitative MRI analysis to longitudinally observe the relationship between 3D proximal femur shape and hip joint degenerative changes. Forty-six subjects underwent unilateral hip MR imaging at three time points (baseline, 18 and 36 months). 3D shape analysis, hip cartilage T1ρ/T2 relaxation time quantification, and SHOMRI MRI grading were performed at each time point. Subjects were grouped based on KL, SHOMRI, and HOOS pain scores. Associations between these score groupings, time, and longitudinal variation in shape, were analyzed using a generalized estimating equation. One-way ANCOVA was conducted to evaluate change in shape as a predictor of the worsening of degenerative changes at 36 months. Our results demonstrated that subjects displayed an increase in the volume of the femoral head and neck (Mode 3) over time. This shape mode was significantly more prevalent in patients that reported pain. Longitudinal changes in this shape mode also served as borderline predictors of elevated T1ρ values (p = 0.055) and of cartilage lesions (p = 0.068). Subjects showed a change in the Femoral Neck Anteversion angle (FNA) over time (Mode 6). This shape mode showed a significant interaction with the presence of cartilage lesions. The results of this study suggest that specific variations in bone shape quantified through 3D-MRI based Statistical Shape modeling show an observable relationship with hip joint compositional and morphological changes. The shapes observed lead to early degenerative changes, which may lead into OA, thus confirming the important role of bone shape changes in the pathogenesis of OA.
机译:这项研究的目的是使用定量MRI分析来纵向观察3D股骨近端形状与髋关节退行性变化之间的关系。在三个时间点(基线,18和36个月)对46名受试者进行了单侧髋部MR成像。在每个时间点进行3D形状分析,髋关节软骨T1ρ/ T2松弛时间定量和SHOMRI MRI分级。根据KL,SHOMRI和HOOS疼痛评分对受试者进行分组。这些分数分组,时间和形状的纵向变化之间的关联使用广义估计方程进行了分析。进行单向ANCOVA评估形状变化,作为36个月时退行性变化恶化的预测指标。我们的结果表明,受试者的股骨头和颈部体积(模式3)随时间增加。这种形状模式在报告疼痛的患者中更为普遍。这种形状模式的纵向变化也可以作为预测T1ρ值(p = 0.055)和软骨病变(p = 0.068)的临界指标。受试者显示股骨颈前倾角(FNA)随时间变化(模式6)。这种形状模式显示出与软骨损伤的存在的显着相互作用。这项研究的结果表明,通过基于3D-MRI的“统计形状”模型量化的特定骨形变化显示出与髋关节组成和形态变化的可观察的关系。观察到的形状导致早期退行性改变,这可能导致OA,从而证实了骨形状改变在OA发病机理中的重要作用。

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