Three-dimensional printing for preoperative planning of total hip arthroplasty revision: case report

2016 ◽  
Vol 45 (10) ◽  
pp. 1431-1435 ◽  
Author(s):  
Joseph Zerr ◽  
Yonatan Chatzinoff ◽  
Rajiv Chopra ◽  
Kenneth Estrera ◽  
Avneesh Chhabra
SICOT-J ◽  
2021 ◽  
Vol 7 ◽  
pp. 26
Author(s):  
Andreas Fontalis ◽  
Jean-Alain Epinette ◽  
Martin Thaler ◽  
Luigi Zagra ◽  
Vikas Khanduja ◽  
...  

Total hip arthroplasty (THA) has been quoted as one of the most successful and cost-effective procedures in Orthopaedics. The last decade has seen an exponential rise in the number of THAs performed globally and a sharp increase in the percentage of young patients hoping to improve their quality of life and return to physically demanding activities. Hence, it is imperative to review the various applications of technology in total hip arthroplasty for improving outcomes. The development of state-of-the-art robotic technology has enabled more reproducible and accurate acetabular positioning, while long-term data are needed to assess its cost-effectiveness. This opinion piece aims to outline and present the advances and innovations in total hip arthroplasty, from virtual reality and three-dimensional printing to patient-specific instrumentation and dual mobility bearings. This illustrates and reflects the debate that will be at the centre of hip surgery for the next decade.


2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110588
Author(s):  
Xuzhuang Ding ◽  
Bingshi Zhang ◽  
Wenao Li ◽  
Jia Huo ◽  
Sikai Liu ◽  
...  

Objective We performed a retrospective study to compare the accuracy of preoperative planning using three-dimensional AI-HIP software and traditional two-dimensional manual templating to predict the size and position of prostheses. The purpose of this study was to evaluate the accuracy of AI-HIP in preoperative planning for primary total hip arthroplasty. Methods In total, 316 hips treated from April 2019 to June 2020 were retrospectively reviewed. A typical preoperative planning process for patients was implemented to compare the accuracy of the two preoperative planning methods with respect to prosthetic size and position. Intraclass correlation coefficients (ICCs) were used to evaluate the homogeneity between the actual prosthetic size and position and the preoperative planning method. Results When AI-HIP software and manual templating were used for preoperative planning, the stem agreement was 87.7% and 58.9%, respectively, and the cup agreement was 94.0% and 65.2%, respectively. The results showed that when AI-HIP software was used, an extremely high level of consistency (ICC > 0.95) was achieved for the femoral stem size, cup size, and femoral osteotomy level (ICC = 0.972, 0.962, and 0.961, respectively). Conclusion AI-HIP software showed excellent reliability for predicting the component size and implant position in primary total hip arthroplasty.


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