SEX-SPECIFIC CONTINUOUS JOINT SPACE WIDTH: AN ALTERNATIVE TO RHOA GRADING

F. Boel , M.A. van den Berg , N.S. Riedstra , M.M.A. van Buuren , J. Tang , H. Ahedi , N. Arden , S.M.A. Bierma-Zeinstra , C.G. Boer , F.M. Cicuttini , T.F. Cootes , K.M. Crossley , D.T. Felson , W.P. Gielis , J.J. Heerey , G. Jones , S. Kluzek , N.E. Lane , C. Lindner , J.A. Lynch , R. Agricola
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Furthermore, both of these RHOA grading system emphasize different features of RHOA, making them difficult to compare. Using automated RHOA grade would reduce subjectivity and allow for fast, reproducible, and reliable assessment of radiographs. Since JSW currently demonstrates the highest reliability as a ROA describing feature, utilizing continuous JSW measurements could be a promising step towards achieving an automated RHOA grade.</div></div><div><h3>OBJECTIVE</h3><div>To investigate the association between baseline demographics, RHOA, and automated, continuous JSW.</div></div><div><h3>METHODS</h3><div>We pooled individual participant data from two prospective cohort studies within the Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH consortium). Both cohorts have standardized weight-bearing anteroposterior (AP) pelvic radiographs available at baseline, 4-5 years, and 8 years follow-up. JSW measurements were automatically determined on the AP radiographs based on landmarks on the acetabular sourcil and the femoral head contour. Four different JSW measurements were determined for each hip, namely at the most medial point, in the center and at the most lateral point of the sourcil, and the minimal JSW (Fig 1). RHOA was scored by KLG or modified Croft grade. Based on the baseline and follow-up RHOA grades, the RHOA pattern of the hip was defined as “no definite RHOA” (KLG/Croft &lt; 2 at all timepoints), “baseline RHOA” (KLG/Croft ≥ 2 at baseline), or “incident RHOA” (KLG/Croft ≥ 2 at follow-up). Hips were included for analysis if they had JSW measurements available at all three time points, and RHOA grades available at baseline and follow-up. The association between baseline age, body mass index (BMI), and the RHOA pattern, and each definition of JSW over time was estimated using linear mixed-effects models (LMMs). The analyses were stratified by sex due to known differences in JSW and OA risk in males and females. The random effects included follow-up time, cohort, and participant, accounting for the repeated measurements and cohort clustering. No RHOA was defined as the reference category for RHOA pattern. The resulting model coefficients with 95% confidence intervals (CI) were presented.</div></div><div><h3>RESULTS</h3><div>A total of 2,895 participants were included in the current study. 3,368 hips of 1,698 females were included, with a mean baseline age of 60 ± 8 years, a mean baseline BMI of 27.8 ± 5.0 kg/m<sup>2</sup>, 4.3% had baseline RHOA, and 3.9% had incident RHOA at follow-up. The JSW narrowed on average in all four locations, and the highest prevalence of narrowing of &gt;1 mm of 9.8% was observed for the lateral JSW (4.5% medial; 4.6% central; 3.2% minimal JSW). 2,379 hips of 1,197 males were included, with a mean baseline age of 60 ± 9 years, a mean baseline BMI of 28.4 ± 3.8 kg/m<sup>2</sup>, 7.4% had baseline RHOA, and 2.0% had incident RHOA at follow-up. The JSW narrowed on average in all four locations, and again the highest prevalence was observed in the lateral JSW (5.3% medial; 5.0% central; 10.7% lateral; and 2.7% minimal JSW). The results of the four LLMs in males and females are presented in Figure 2. Older baseline age in females and lower baseline BMI in males were associated with narrower JSW over time at all locations. 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引用次数: 0

Abstract

INTRODUCTION

The reported prevalence of radiographic hip OA (RHOA) varies widely in literature and depends on the specific study population. The KLG and (modified) Croft grade are commonly used to quantify RHOA. Both these scoring systems are inherently subjective, and the reproducibility is largely dependent on the expertise of the reader. Furthermore, both of these RHOA grading system emphasize different features of RHOA, making them difficult to compare. Using automated RHOA grade would reduce subjectivity and allow for fast, reproducible, and reliable assessment of radiographs. Since JSW currently demonstrates the highest reliability as a ROA describing feature, utilizing continuous JSW measurements could be a promising step towards achieving an automated RHOA grade.

OBJECTIVE

To investigate the association between baseline demographics, RHOA, and automated, continuous JSW.

METHODS

We pooled individual participant data from two prospective cohort studies within the Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH consortium). Both cohorts have standardized weight-bearing anteroposterior (AP) pelvic radiographs available at baseline, 4-5 years, and 8 years follow-up. JSW measurements were automatically determined on the AP radiographs based on landmarks on the acetabular sourcil and the femoral head contour. Four different JSW measurements were determined for each hip, namely at the most medial point, in the center and at the most lateral point of the sourcil, and the minimal JSW (Fig 1). RHOA was scored by KLG or modified Croft grade. Based on the baseline and follow-up RHOA grades, the RHOA pattern of the hip was defined as “no definite RHOA” (KLG/Croft < 2 at all timepoints), “baseline RHOA” (KLG/Croft ≥ 2 at baseline), or “incident RHOA” (KLG/Croft ≥ 2 at follow-up). Hips were included for analysis if they had JSW measurements available at all three time points, and RHOA grades available at baseline and follow-up. The association between baseline age, body mass index (BMI), and the RHOA pattern, and each definition of JSW over time was estimated using linear mixed-effects models (LMMs). The analyses were stratified by sex due to known differences in JSW and OA risk in males and females. The random effects included follow-up time, cohort, and participant, accounting for the repeated measurements and cohort clustering. No RHOA was defined as the reference category for RHOA pattern. The resulting model coefficients with 95% confidence intervals (CI) were presented.

RESULTS

A total of 2,895 participants were included in the current study. 3,368 hips of 1,698 females were included, with a mean baseline age of 60 ± 8 years, a mean baseline BMI of 27.8 ± 5.0 kg/m2, 4.3% had baseline RHOA, and 3.9% had incident RHOA at follow-up. The JSW narrowed on average in all four locations, and the highest prevalence of narrowing of >1 mm of 9.8% was observed for the lateral JSW (4.5% medial; 4.6% central; 3.2% minimal JSW). 2,379 hips of 1,197 males were included, with a mean baseline age of 60 ± 9 years, a mean baseline BMI of 28.4 ± 3.8 kg/m2, 7.4% had baseline RHOA, and 2.0% had incident RHOA at follow-up. The JSW narrowed on average in all four locations, and again the highest prevalence was observed in the lateral JSW (5.3% medial; 5.0% central; 10.7% lateral; and 2.7% minimal JSW). The results of the four LLMs in males and females are presented in Figure 2. Older baseline age in females and lower baseline BMI in males were associated with narrower JSW over time at all locations. Baseline and incident RHOA were associated with narrower JSW over time compared to no definite RHOA for all locations except for the medial JSW.

CONCLUSION

The lateral JSW was the most susceptible to narrowing over time and showed consistent associations with baseline and incident RHOA in both males and females. These results suggest that automated, continuous JSW measurements might be a good alternative for RHOA grades. However, seeing the marked sex differences in JSW measurements of the hip, a different interpretation of JSW measurements in males and females is warranted.
性别特定的连续关节空间宽度:替代rhoa分级
文献中报道的髋部骨性关节炎(RHOA)患病率差异很大,并且取决于特定的研究人群。KLG和(改良的)Croft分级通常用于量化RHOA。这两种评分系统本质上都是主观的,其再现性在很大程度上取决于读者的专业知识。此外,这两种RHOA分级体系所强调的RHOA特征不同,难以进行比较。使用自动化RHOA分级将减少主观性,并允许对x线片进行快速、可重复和可靠的评估。由于JSW目前作为ROA描述特性展示了最高的可靠性,因此利用连续的JSW测量可能是实现自动化RHOA等级的有希望的一步。目的探讨基线人口统计学、RHOA和自动化、连续JSW之间的关系。方法:我们汇集了来自世界髋关节骨关节炎预测合作组织(World COACH consortium)的两项前瞻性队列研究的个体参与者数据。两个队列在基线、4-5年和8年随访时均有标准化负重骨盆正位(AP) x线片。根据髋臼源和股骨头轮廓上的标记,在AP片上自动确定JSW测量值。对每个髋关节进行四种不同的JSW测量,即在最内侧点,在髋源的中心和最外侧点,以及最小JSW(图1)。RHOA采用KLG评分或改良Croft评分。根据基线和随访RHOA分级,将髋关节RHOA模式定义为“无明确RHOA”(KLG/Croft <;“基线RHOA”(基线时KLG/Croft≥2)或“事件RHOA”(随访时KLG/Croft≥2)。如果髋部在所有三个时间点都有可用的JSW测量值,以及基线和随访时的RHOA等级,则纳入分析。基线年龄、身体质量指数(BMI)和RHOA模式之间的关系,以及随时间推移JSW的每个定义使用线性混合效应模型(lmm)进行估计。由于已知男性和女性在JSW和OA风险上的差异,分析按性别分层。随机效应包括随访时间、队列和参与者,考虑到重复测量和队列聚类。没有RHOA被定义为RHOA模式的参考类别。给出了95%置信区间(CI)的模型系数。结果本研究共纳入2895名受试者。纳入1,698名女性的3,368髋,平均基线年龄为60±8岁,平均基线BMI为27.8±5.0 kg/m2,随访时基线RHOA为4.3%,偶发RHOA为3.9%。在所有四个位置,JSW平均变窄,其中侧边JSW变窄率最高,为9.8%(4.5%内侧;4.6%的中央;3.2%最小JSW)。纳入1,197名男性的2,379髋,平均基线年龄为60±9岁,平均基线BMI为28.4±3.8 kg/m2,随访时7.4%患有基线RHOA, 2.0%发生偶发RHOA。在所有四个位置,小窝窝的平均范围均有所收窄,而小窝窝外侧的患病率最高(内侧5.3%;5.0%的中央;横向10.7%;和2.7%最小JSW)。男女四种llm的结果如图2所示。随着时间的推移,女性基线年龄越大,男性基线BMI越低,JSW越窄。随着时间的推移,基线和事件RHOA与较窄的JSW相关,相比之下,除了内侧JSW外,所有部位都没有明确的RHOA。结论:随着时间的推移,侧侧JSW最容易变窄,并且在男性和女性中与基线和事件RHOA具有一致的相关性。这些结果表明,自动化的、连续的JSW测量可能是RHOA等级的一个很好的选择。然而,鉴于髋部JSW测量的明显性别差异,对男性和女性JSW测量的不同解释是有根据的。
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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Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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