Mid-Term Outcomes of Acetabular Reconstruction Using a Rapid Prototyping Pelvic Model in Complex Total Hip Arthroplasty

使用快速成型骨盆模型进行复杂全髋关节置换术髋臼重建的中期结果

阅读:1

Abstract

PURPOSE: Total hip arthroplasty (THA) is challenging in cases of acetabular deficiency, implant loosening after primary THA, and osteoarthritis secondary to hip dysplasia. Three-dimensional (3D) prototyping models from CT scans enhance preoperative planning and anatomical understanding, particularly in complex acetabular reconstruction. The purpose of this study was to determine the effectiveness of the rapid prototyping pelvic model in THA. MATERIALS AND METHODS: This retrospective study included 20 hips in 18 patients (8 male, 10 female; mean age 60.9 years). Acetabular defects were classified using Paprosky types: 2B (1 case), 2C (11 cases), 3A (5 cases), along with pseudo-acetabular formation (2 hips) and metastatic bone defects (1 hip). 3D models were printed using fused deposition modeling (FDM) with polylactic acid filament. Preoperative simulations of acetabular reaming and cup positioning were performed on the models. Radiographic outcomes included acetabular cup inclination, anteversion, osteolysis, and implant loosening. Surgical complications such as dislocation, infection, and fracture were analyzed. RESULTS: Mean acetabular cup inclination was 49.1° [43.5-54.7], and anteversion was 15.0° [2.0-28.0]. None of the cases showed implant loosening, osteolysis progression, or surgical complications during a mean follow-up of 71.5 months. Trabecular metal augment (7 cases) and acetabular cages (3 cases) were used for defect management, with additional bone screw stabilization in most cases. CONCLUSION: Preoperative planning using 3D prototyping pelvic models resulted in accurate cup positioning and stable outcomes in complex THA cases. Further studies with larger cohorts and longer follow-up are necessary to confirm these findings.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。