Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement.

• Published in: Computational and Mathematical Methods in Medicine
• Main Authors: Pétursson, Þröstur, Edmunds, Kyle Joseph, Gíslason, Magnús Kjartan, Magnússon, Benedikt, Magnúsdóttir, Gígja, Halldórsson, Grétar, Jónsson, Halldór, Gargiulo, Paolo
• Other Authors: 1 Haskolinn i Reykjavik, Inst Biomed & Neural Engn, IS-101 Reykjavik, Iceland 2 Landspitali, Dept Rehabil, IS-101 Reykjavik, Iceland 3 Landspitali, Orthopaed Clin, IS-101 Reykjavik, Iceland 4 Haskoli Isl, Orthopaed Clin, IS-101 Reykjavik, Iceland 5 Landspitali Univ Hosp, Dept Sci, IS-101 Reykjavik, Iceland
• Format: Article in Journal/Newspaper
• Language: English
• Published: Hindawi Publishing Corporation 2016
• Subjects: Bone Density; Fractures; Bone; Risk Assessment; Prosthesis Implantation; Arthroplasty; Replacement; Hip; Iceland
• Online Access: http://hdl.handle.net/2336/605249; https://doi.org/10.1155/2015/162481

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access. 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. National University Hospital of Iceland Icelandic Research Fund "Rannis" Landspitali University Hospital