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

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...

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Bibliographic Details
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
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Summary: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

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