Department of Orthopaedic Surgery, Osaka University, Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan.
Department of Orthopaedic Surgery, Osaka University, Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan; Osaka University Healthcare Center, 17-1 Machikaneyama-cho, Toyonaka, Osaka 560-0043, Japan.
Osteoarthritis Cartilage. 2018 Jan;26(1):72-83. doi: 10.1016/j.joca.2017.10.004. Epub 2017 Oct 14.
To quantify the bone density and stress distribution patterns in long-standing cubitus varus and clarify the effects of the deformity on bone density.
We created three-dimensional computed tomography (CT) elbow models from 21 patients with long-standing cubitus varus deformities without advanced osteoarthritis (OA) and assessed the deformity by superimposing the affected humerus onto a mirror-image of the contralateral normal. Elbows were divided into 13 regions before measuring the bone density of each region and comparing the percentage of high-density volume (%HDV) between affected and normal sides. We constructed finite element models and quantitatively analyzed stress distribution.
Average degrees of deformities were 20.1° of varus, 6.4° of extension, and 12.7° of internal rotation. The medial side of the affected humerus and ulna, Anteromedial trochlea (P < 0.001), Medial coronoid (P = 0.004), and Medial olecranon (P = 0.049) had significantly higher %HDVs than their normal counterparts. Conversely, %HDVs on the affected lateral side, Capitellum (P < 0.001), Anterolateral trochlea (P = 0.010), Posterolateral trochlea (P < 0.001), Lateral coronoid (P = 0.007), and Lateral olecranon (P < 0.001) were significantly lower than the normal side. The affected radial head %HDVs at Anterolateral and Posteromedial quadrants were high (P = 0.007) and low (P = 0.007), respectively. The bone density distribution coincided with stress distribution patterns revealed by finite element analysis (FEA), except in the lateral region influenced by forearm rotation.
Repetitive stress on the medial elbow may alter bone density distribution patterns, probably presenting from early stage of OA.
定量分析陈旧性肘内翻畸形的骨密度和应力分布模式,并阐明畸形对骨密度的影响。
我们从 21 例无晚期骨关节炎(OA)的陈旧性肘内翻患者中创建了三维 CT 肘部模型,并通过将受累肱骨叠加到对侧正常肱骨的镜像上来评估畸形。在测量每个区域的骨密度并比较患侧和健侧高密度体积百分比(%HDV)之前,将肘部分为 13 个区域。我们构建了有限元模型并进行了定量分析。
平均畸形角度为 20.1°的内翻、6.4°的伸展和 12.7°的内旋。受累肱骨和尺骨的内侧、前内侧滑车(P < 0.001)、内侧冠状突(P = 0.004)和内侧鹰嘴(P = 0.049)的高密度体积百分比明显高于正常侧。相反,受累侧的肱骨头、外侧滑车(P < 0.001)、前外侧滑车(P = 0.010)、后外侧滑车(P < 0.001)、外侧冠状突(P = 0.007)和外侧鹰嘴(P < 0.001)的高密度体积百分比明显低于健侧。前外侧和后内侧象限的受累桡骨头的高密度体积百分比较高(P = 0.007)和较低(P = 0.007)。骨密度分布与有限元分析(FEA)揭示的应力分布模式一致,除了受前臂旋转影响的外侧区域。
内侧肘部的反复应力可能改变骨密度分布模式,可能从 OA 的早期开始出现。