Pétursson Þröstur, Edmunds Kyle Joseph, Gíslason Magnús Kjartan, Magnússon Benedikt, Magnúsdóttir Gígja, Halldórsson Grétar, Jónsson Halldór, Gargiulo Paolo
Institute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Menntavegur 1, 101 Reykjavík, Iceland.
Department of Rehabilitation, Landspítali, Norðurmýri, 101 Reykjavík, Iceland.
Comput Math Methods Med. 2015;2015:162481. doi: 10.1155/2015/162481. Epub 2015 Aug 31.
The variability in patient outcome and propensity for surgical complications in total hip replacement (THR) necessitates the development of a comprehensive, quantitative methodology for prescribing the optimal type of prosthetic stem: cemented or cementless. The objective of the research presented herein was to describe a novel approach to this problem as a first step towards creating a patient-specific, presurgical application for determining the optimal prosthesis procedure. Finite element analysis (FEA) and bone mineral density (BMD) calculations were performed with ten voluntary primary THR patients to estimate the status of their operative femurs before surgery. A compilation model of the press-fitting procedure was generated to define a fracture risk index (FRI) from incurred forces on the periprosthetic femoral head. Comparing these values to patient age, sex, and gender elicited a high degree of variability between patients grouped by implant procedure, reinforcing the notion that age and gender alone are poor indicators for prescribing prosthesis type. Additionally, correlating FRI and BMD measurements indicated that at least two of the ten patients may have received nonideal implants. This investigation highlights the utility of our model as a foundation for presurgical software applications to assist orthopedic surgeons with selecting THR prostheses.
全髋关节置换术(THR)中患者预后的变异性以及手术并发症的倾向,使得开发一种全面、定量的方法来规定最佳类型的假体柄成为必要:骨水泥型或非骨水泥型。本文所呈现的研究目的是描述一种解决该问题的新方法,作为朝着创建一种针对患者的术前应用以确定最佳假体手术迈出的第一步。对十名自愿接受初次THR手术的患者进行了有限元分析(FEA)和骨密度(BMD)计算,以估计他们术前手术股骨的状况。生成了压配过程的汇编模型,以根据假体周围股骨头所承受的力定义骨折风险指数(FRI)。将这些值与患者的年龄、性别进行比较,发现在按植入手术分组的患者之间存在高度变异性,这强化了仅年龄和性别作为规定假体类型的指标不佳的观念。此外,FRI与BMD测量值的相关性表明,十名患者中至少有两名可能接受了不理想的植入物。这项研究突出了我们的模型作为术前软件应用基础的实用性,以协助骨科医生选择THR假体。