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有限元分析、3D打印导板及导航系统优化髋臼周围截骨术中骨折块的重新定向。

Finite element analyses, 3D-printed guides and navigation system optimizes fragment reorientation for periacetabular osteotomy.

作者信息

Lee Sheng-Hsun, Guarin Perez Sergio, Wentworth Adam J, Rossman Timothy L, Sierra Rafael J

机构信息

Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.

Department of Orthopedics, Mayo Clinic, Rochester, MN, 55905, USA.

出版信息

Int J Comput Assist Radiol Surg. 2025 Apr 26. doi: 10.1007/s11548-025-03376-3.

Abstract

PURPOSE

Periacetabular osteotomy (PAO) is an effective treatment to correct developmental dysplasia of the hip (DDH). Traditionally, the goal of correction during PAO is based on parameters measured on 2-dimensional images. The aim of the study is to introduce an optimized workflow of PAO in DDH patients by means of personalized correction goal and accuracy of execution.

METHODS

Five patients with DDH were prospectively enrolled. Preoperative computed tomography was performed. Surgical planning was done by the treating surgeon and engineers. The planned correction involved reorienting the osteotomized fragment to achieve a target lateral center-edge angle (LCEA) of 25°-40°.The pelvic model with the preoperative and planned correction was analyzed by finite element analysis, which simulated single-leg stance condition. Average and maximal acetabular stresses in different anatomical areas were calculated and are presented as a dashboard at ± 3° increments to help the surgeon determine the ideal correction. To ensure accuracy of the osteotomy and correction as planned, 3D-printed cutting and reorientation guides were used.

RESULTS

Average operation time (101 ± 23 min) and blood loss (651 ± 176 ml) were comparable to previous reports. Radiographic parameters improved significantly, including LCEA (20.0 ± 6.4 vs. 30.2 ± 3.1, p = 0.037) and AI (12.5 ± 3.1 vs. 0.8 ± 1.6, p = 0.001). The planned correction was similar to the final correction (LCEA planned 31.1 ± 2.0 vs. final 30.2 ± 3.1, p = 0.268; AI planned 1.8 ± 1.5 vs. final 0.8 ± 1.6, p = 0.349). During an average follow-up period of 1.2 years, all osteotomies healed and these patients reported a significant reduction in mean global pain scale from 70 preoperatively to 23 postoperatively (p = 0.016).

CONCLUSION

The workflow with FEA simulations to optimize mechanical stress and 3D-printed cutting guides to achieve accurate execution was an effective and safe approach to optimize DDH treatment. Further refinements and further evaluation of navigation systems aimed at obtaining planned correction is necessary.

摘要

目的

髋臼周围截骨术(PAO)是矫正发育性髋关节发育不良(DDH)的一种有效治疗方法。传统上,PAO术中的矫正目标是基于二维图像测量的参数。本研究的目的是通过个性化的矫正目标和精确的执行方式,介绍一种针对DDH患者的优化PAO工作流程。

方法

前瞻性纳入5例DDH患者。术前行计算机断层扫描。由主刀医生和工程师进行手术规划。计划的矫正包括重新定位截骨块,以实现25°-40°的目标外侧中心边缘角(LCEA)。对术前及计划矫正后的骨盆模型进行有限元分析,模拟单腿站立状态。计算不同解剖区域的平均和最大髋臼应力,并以±3°增量的仪表盘形式呈现,以帮助外科医生确定理想的矫正角度。为确保截骨和矫正按计划精确进行,使用了3D打印的切割和重新定位导向器。

结果

平均手术时间(101±23分钟)和失血量(651±176毫升)与既往报道相当。影像学参数显著改善,包括LCEA(20.0±6.4对30.2±3.1,p=0.037)和髋臼指数(AI,12.5±3.1对0.8±1.6,p=0.001)。计划的矫正与最终矫正相似(计划LCEA为31.1±2.0,最终为30.2±3.1,p=0.268;计划AI为1.8±1.5,最终为0.8±1.6,p=0.349)。在平均1.2年的随访期内,所有截骨均愈合,这些患者报告平均总体疼痛评分从术前的70显著降低至术后的23(p=0.016)。

结论

通过有限元分析模拟优化机械应力,并使用3D打印切割导向器实现精确执行的工作流程,是优化DDH治疗的一种有效且安全的方法。有必要进一步改进并进一步评估旨在获得计划矫正的导航系统。

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