PATELLAR AND FEMORAL BONE MORPHOLOGY AND ITS ASSOCIATION WITH LOADING IN YOUNG ADOLESCENT BOYS AND GIRLS

R. van Paassen , N. Tumer , J. Hirvasniemi , T.M. Piscaer , A.A. Zadpoor , S. Klein , S.M.A. Bierma-Zeinstra , E.H.G. Oei , M. van Middelkoop
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Imaging was performed with two knees in full extension using a water excitation Gradient Recalled Acquisition in Steady State sequence. Patellae and distal femora were automatically segmented using a method that combines multi-atlas and appearance models. Two statistical shape models (SSM) were built based on the automatically segmented left and right patellae and femora. Shape modes explaining at least 1% of the total population variation were included in the analyses. Differences between boys and girls were determined using a 2-sample T-test. Generalized estimating equation models, separate for boys and girls, were used to analyze the association between BMI-SDS, sports participation (yes or no), and shape variation. Bonferroni correction was used to correct for multiple testing.</div></div><div><h3>RESULTS</h3><div>A total of 3638 patellae and 3355 femora were included in the shape models. Eleven patellar and fourteen femoral shape modes explained at least 1% of the total variation and were retained for analysis. Eight out of the eleven (modes 1-4, 6, 8, 10, and 11) patellar and twelve out of the fourteen (modes 1-10, 12, and 14) femoral shape modes showed significant differences between boys and girls. Four patella and two femur modes were significantly associated with BMI in both boys and girls, while four patella and seven femur modes were significantly associated in either boys or girls only (Table 1). Patella shape mode 1 was significantly associated with sports participation in both boys and girls, as well as BMI in boys only. Femur shape mode 1 was associated with sports participation in girls and BMI in both boys and girls (Table 1; Figure 1). Femur mode 3, explaining variation in medial anterior condyle and epicondylar width, was only associated with BMI in boys. A higher BMI was associated with a slightly thicker medial anterior condyle and a narrower epicondylar width. Furthermore, patella mode 4, explaining variation in thickness of the dorsal side of the medial apex, was only associated with BMI in girls, with higher BMI being associated with a thicker dorsal side of the medial apex.</div></div><div><h3>CONCLUSION</h3><div>Multiple differences in shape variations between boys and girls were identified. Sports participation was associated only with the shape mode, explaining size, whereas BMI demonstrated more associations, indicating that BMI is a more important factor. However, sex-specific differences exist. For instance, a higher BMI was associated with a thicker dorsal medial apex in girls, but not in boys. In contrast, a slightly thicker medial anterior condyle was associated with BMI in boys, but not in girls. 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引用次数: 0

Abstract

INTRODUCTION

High levels of physical activity or high body mass index (BMI) during growth may negatively influence bone and cartilage, but little is known about how loading relates to the shape of the patella and femur. It is well established that bone shape is primarily determined during growth, and specific variations in bone shape are associated with a higher risk of osteoarthritis (OA). Therefore, we aim to identify the association between the 3D shape of the patella and femur bones and loading factors (i.e., body mass index (BMI) and sports participation) in young adolescents.

OBJECTIVE

Our objective is twofold: 1) to determine the differences in bone shape between boys and girls, and 2) to determine which bone shape variations are associated with loading parameters (i.e., BMI and sports participation).

METHODS

Data from 1912 participants, aged 14.1 (SD: 0.67), standardized BMI for age and sex (BMI-SDS) of 0.42 (1.20), were retrieved from the Generation R study. The Generation R study is a large population cohort study that follows children from fetal life until adulthood. A subset of participants who underwent knee MRI (3.0T, Discovery MR750w, GE Healthcare, Milwaukee, WI, USA) at the 13-year follow-up time point were included in the current study. Imaging was performed with two knees in full extension using a water excitation Gradient Recalled Acquisition in Steady State sequence. Patellae and distal femora were automatically segmented using a method that combines multi-atlas and appearance models. Two statistical shape models (SSM) were built based on the automatically segmented left and right patellae and femora. Shape modes explaining at least 1% of the total population variation were included in the analyses. Differences between boys and girls were determined using a 2-sample T-test. Generalized estimating equation models, separate for boys and girls, were used to analyze the association between BMI-SDS, sports participation (yes or no), and shape variation. Bonferroni correction was used to correct for multiple testing.

RESULTS

A total of 3638 patellae and 3355 femora were included in the shape models. Eleven patellar and fourteen femoral shape modes explained at least 1% of the total variation and were retained for analysis. Eight out of the eleven (modes 1-4, 6, 8, 10, and 11) patellar and twelve out of the fourteen (modes 1-10, 12, and 14) femoral shape modes showed significant differences between boys and girls. Four patella and two femur modes were significantly associated with BMI in both boys and girls, while four patella and seven femur modes were significantly associated in either boys or girls only (Table 1). Patella shape mode 1 was significantly associated with sports participation in both boys and girls, as well as BMI in boys only. Femur shape mode 1 was associated with sports participation in girls and BMI in both boys and girls (Table 1; Figure 1). Femur mode 3, explaining variation in medial anterior condyle and epicondylar width, was only associated with BMI in boys. A higher BMI was associated with a slightly thicker medial anterior condyle and a narrower epicondylar width. Furthermore, patella mode 4, explaining variation in thickness of the dorsal side of the medial apex, was only associated with BMI in girls, with higher BMI being associated with a thicker dorsal side of the medial apex.

CONCLUSION

Multiple differences in shape variations between boys and girls were identified. Sports participation was associated only with the shape mode, explaining size, whereas BMI demonstrated more associations, indicating that BMI is a more important factor. However, sex-specific differences exist. For instance, a higher BMI was associated with a thicker dorsal medial apex in girls, but not in boys. In contrast, a slightly thicker medial anterior condyle was associated with BMI in boys, but not in girls. These varying relationships between BMI and shape in boys and girls highlight the necessity of conducting shape analyses separately during growth.
青春期男孩和女孩髌骨和股骨形态及其与负荷的关系
在生长过程中,高水平的身体活动或高体重指数(BMI)可能会对骨骼和软骨产生负面影响,但对于负荷与髌骨和股骨形状的关系知之甚少。众所周知,骨形状主要是在生长过程中决定的,而骨形状的特定变化与骨关节炎(OA)的高风险相关。因此,我们旨在确定青少年髌骨和股骨的三维形状与负荷因素(即体重指数(BMI)和运动参与)之间的关系。我们的目的有两个:1)确定男孩和女孩之间骨骼形状的差异,2)确定哪些骨骼形状变化与负荷参数(即BMI和运动参与)有关。方法1912名参与者,年龄14.1岁(SD: 0.67),年龄和性别的标准化BMI (BMI- sds)为0.42(1.20),数据来自R世代研究。“R世代”研究是一项大规模人群队列研究,跟踪儿童从胎儿到成年。本研究纳入了在13年随访时间点接受膝关节MRI (3.0T, Discovery MR750w, GE Healthcare, Milwaukee, WI, USA)的参与者子集。成像时双膝完全伸展,采用稳态序列水激发梯度回忆采集。采用多寰图和外观模型相结合的方法对髌骨和股骨远端进行自动分割。在自动分割左右髌骨和股骨的基础上,建立了两种统计形状模型(SSM)。形状模式解释至少1%的总体变化被包括在分析中。男孩和女孩之间的差异使用双样本t检验来确定。使用男孩和女孩分开的广义估计方程模型来分析BMI-SDS、运动参与(是或否)和形状变化之间的关系。采用Bonferroni校正对多重检验进行校正。结果共纳入3638个髌骨和3355个股骨。11种髌骨和14种股骨形状模式解释了至少1%的总变异,并保留用于分析。11种模式(1-4、6、8、10和11)中8种髌骨模式和14种模式(1-10、12和14)中12种股骨形状模式在男孩和女孩之间存在显著差异。4种髌骨和2种股骨模式与男孩和女孩的BMI显著相关,而4种髌骨和7种股骨模式仅在男孩和女孩中显著相关(表1)。髌骨形状模式1与男孩和女孩的运动参与以及男孩的BMI显著相关。股骨形状模式1与女孩的运动参与和男孩和女孩的BMI相关(表1;图1)。股骨模式3,解释了内前髁和上髁宽度的变化,仅与男孩的BMI相关。BMI越高,内侧前髁越厚,上髁宽度越窄。此外,解释内侧尖端背侧厚度变化的髌骨模式4仅与女孩的BMI相关,BMI越高,内侧尖端背侧越厚。结论男孩和女孩在形体变化上存在多重差异。运动参与只与体型模式相关,解释了体型,而BMI表现出更多的关联,表明BMI是一个更重要的因素。然而,性别差异是存在的。例如,BMI越高,女孩的背内侧尖越厚,而男孩则不然。相比之下,稍厚的内前髁与男孩的BMI有关,而与女孩无关。男孩和女孩身体质量指数和体型之间的这些不同关系突出了在成长过程中分别进行体型分析的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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