Department of Orthopaedics, Children's Health Queensland Hospital and Health Service, Brisbane, Queensland, Australia.
Griffith Centre of Biomedical and Rehabilitation Engineering, Griffith University, Gold Coast, Queensland, Australia.
J ISAKOS. 2021 Sep;6(5):265-270. doi: 10.1136/jisakos-2020-000461. Epub 2021 Apr 23.
Recurrent patellar dislocation (RPD) is found most commonly in the juvenile population. While risk factors have been well-established in adults, there remains a paucity in radiographical data to define normal and pathoanatomical juvenile cohorts. The objectives of this paper were to elucidate the differences in the patellofemoral joint between RPD and typically developed (TD) juvenile populations, using MRI measurements, and determine the best independent and combined predictors of RPD.
A prospective, cross-sectional study was conducted with 25 RPD and 24 TD participants aged between 8 and 19 years. MR images were obtained to assess common measures of lower limb alignment, patellofemoral alignment, and trochlear dysplasia.
Significant differences were evident for acetabular inclination, tibial-femoral torsion, tibial tubercle-to-trochlear groove (TT-TG) distance, lateral patellar tilt (LPT), cartilaginous sulcus angle (CSA) and bisect offset ratio (BOR). CSA and BOR were included in the final predictive model, which correctly classified 89.4% of RPD cases.
Radiographical parameters that stratify risk of RPD in adults are also able to predict RPD in the pediatric population (TT-TG, LPT, CSA and BOR). Together, CSA and BOR accurately identified 89.4% of RPD. These measures should be included in the evaluation of pediatric patients who present with patellar dislocation.
Level II.
复发性髌骨脱位(RPD)最常见于青少年人群。虽然成年人的风险因素已经得到充分确立,但在影像学数据方面,仍缺乏定义正常和病理性青少年队列的资料。本文的目的是通过 MRI 测量来阐明 RPD 与典型发育(TD)青少年群体之间髌股关节的差异,并确定 RPD 的最佳独立和联合预测因素。
进行了一项前瞻性、横断面研究,纳入了 25 例 RPD 和 24 例年龄在 8 至 19 岁之间的 TD 青少年参与者。获得 MRI 图像以评估下肢对线、髌股对线和滑车发育不良的常见测量指标。
髋臼倾斜度、胫骨股骨扭转、胫骨结节到滑车沟(TT-TG)距离、外侧髌骨倾斜度(LPT)、软骨沟角(CSA)和等分偏移比(BOR)存在显著差异。CSA 和 BOR 包含在最终的预测模型中,该模型正确分类了 89.4%的 RPD 病例。
在成年人中分层 RPD 风险的影像学参数也能够预测儿科人群中的 RPD(TT-TG、LPT、CSA 和 BOR)。CSA 和 BOR 联合准确识别了 89.4%的 RPD。这些措施应纳入出现髌骨脱位的儿科患者的评估中。
II 级。