Personalized musculoskeletal modeling for gait analysis and decision-making in femoral derotational osteotomy for children with cerebral palsy.

IF 2.8 3区 医学 Q1 ORTHOPEDICS
Jehyun Yoo, Kun-Bo Park, Juntaek Hong, Junmin Cha, Jeuhee Lee, Yebin Cho, Dong-Wook Rha
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Abstract

Background: Preoperative gait analysis plays a crucial role in determining the necessity and correction angle for femoral derotational osteotomy (FDO). However, conventional musculoskeletal models used in gait analysis often fail to reflect patient-specific musculoskeletal characteristics, such as femoral and tibial deformities. This study evaluates the impact of a personalized musculoskeletal model incorporating these deformities on gait analysis and investigates the surgical outcomes of FDO based on kinematic changes derived from this personalized musculoskeletal model.

Methods: A retrospective analysis was conducted on 254 limbs from 127 children with cerebral palsy (CP) who presented with increased femoral anteversion and underwent pre- and postoperative gait analyses. Kinematic data were generated using general and personalized musculoskeletal models developed in OpenSim. Patients were classified according to FDO status and the presence of excessive hip internal rotation (IR). Surgical outcomes were assessed based on postoperative changes in hip rotation. Subgroup analyses were performed to evaluate the model's impact on surgical outcomes.

Results: Of the 254 limbs, 92 underwent FDO. Patients with increased hip IR in the general model (Group A) had a higher good responder rate (88.2%) than those without (Group B, 17.2%). All limbs in Groups A1 and B1 (increased hip IR using personalized musculoskeletal models) had 100% favorable outcomes, whereas Groups A2 and B2 (not increased hip IR using personalized musculoskeletal models) showed favorable outcomes in 20% and 13.5%, respectively. Increased hip IR was more frequent in patients with external tibial rotation (p < 0.05). Surgical outcomes differed significantly between patients with and without increased hip IR in the personalized musculoskeletal model (χ2 = 4.90, p = 0.027).

Conclusion: Gait analysis using personalized musculoskeletal models improved surgical decision-making for FDO, leading to better outcomes in children with CP. Personalized musculoskeletal models better identified suitable FDO candidates and more accurately predict surgical outcomes than general models.

Trial registration: Retrospectively registered.

个性化肌肉骨骼模型用于脑瘫儿童股骨旋转截骨术的步态分析和决策。
背景:术前步态分析在确定股骨旋转截骨术(FDO)的必要性和矫正角度方面起着至关重要的作用。然而,用于步态分析的传统肌肉骨骼模型往往不能反映患者特定的肌肉骨骼特征,如股骨和胫骨畸形。本研究评估了包含这些畸形的个性化肌肉骨骼模型对步态分析的影响,并研究了基于个性化肌肉骨骼模型产生的运动学变化的FDO手术结果。方法:回顾性分析127例脑瘫(CP)患儿254条肢体的股骨前倾加重,并进行术前和术后步态分析。使用OpenSim中开发的通用和个性化肌肉骨骼模型生成运动学数据。根据FDO状态和髋关节过度内旋(IR)的存在对患者进行分类。根据术后髋关节旋转的变化评估手术结果。进行亚组分析以评估模型对手术结果的影响。结果:254条肢体中,92条行FDO。一般模型中髋关节IR增高患者(A组)的良好应答率(88.2%)高于无IR增高患者(B组,17.2%)。A1组和B1组(使用个性化肌肉骨骼模型增加髋关节IR)的所有肢体均有100%的良好预后,而A2组和B2组(使用个性化肌肉骨骼模型未增加髋关节IR)的良好预后分别为20%和13.5%。髋关节IR增加在胫骨外旋患者中更为常见(p = 4.90, p = 0.027)。结论:使用个性化肌肉骨骼模型的步态分析改善了FDO的手术决策,导致CP儿童的预后更好。个性化肌肉骨骼模型比一般模型更好地识别合适的FDO候选人,更准确地预测手术结果。试验注册:回顾性注册。
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来源期刊
CiteScore
4.10
自引率
7.70%
发文量
494
审稿时长
>12 weeks
期刊介绍: Journal of Orthopaedic Surgery and Research is an open access journal that encompasses all aspects of clinical and basic research studies related to musculoskeletal issues. Orthopaedic research is conducted at clinical and basic science levels. With the advancement of new technologies and the increasing expectation and demand from doctors and patients, we are witnessing an enormous growth in clinical orthopaedic research, particularly in the fields of traumatology, spinal surgery, joint replacement, sports medicine, musculoskeletal tumour management, hand microsurgery, foot and ankle surgery, paediatric orthopaedic, and orthopaedic rehabilitation. The involvement of basic science ranges from molecular, cellular, structural and functional perspectives to tissue engineering, gait analysis, automation and robotic surgery. Implant and biomaterial designs are new disciplines that complement clinical applications. JOSR encourages the publication of multidisciplinary research with collaboration amongst clinicians and scientists from different disciplines, which will be the trend in the coming decades.
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