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Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement
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 h...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4568326/ https://www.ncbi.nlm.nih.gov/pubmed/26417376 http://dx.doi.org/10.1155/2015/162481 |
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author | Pétursson, Þröstur Edmunds, Kyle Joseph Gíslason, Magnús Kjartan Magnússon, Benedikt Magnúsdóttir, Gígja Halldórsson, Grétar Jónsson, Halldór Gargiulo, Paolo |
author_facet | Pétursson, Þröstur Edmunds, Kyle Joseph Gíslason, Magnús Kjartan Magnússon, Benedikt Magnúsdóttir, Gígja Halldórsson, Grétar Jónsson, Halldór Gargiulo, Paolo |
author_sort | Pétursson, Þröstur |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4568326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45683262015-09-28 Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement Pétursson, Þröstur Edmunds, Kyle Joseph Gíslason, Magnús Kjartan Magnússon, Benedikt Magnúsdóttir, Gígja Halldórsson, Grétar Jónsson, Halldór Gargiulo, Paolo Comput Math Methods Med Research Article 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. Hindawi Publishing Corporation 2015 2015-08-31 /pmc/articles/PMC4568326/ /pubmed/26417376 http://dx.doi.org/10.1155/2015/162481 Text en Copyright © 2015 Þröstur Pétursson et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Pétursson, Þröstur Edmunds, Kyle Joseph Gíslason, Magnús Kjartan Magnússon, Benedikt Magnúsdóttir, Gígja Halldórsson, Grétar Jónsson, Halldór Gargiulo, Paolo Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title | Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title_full | Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title_fullStr | Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title_full_unstemmed | Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title_short | Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement |
title_sort | bone mineral density and fracture risk assessment to optimize prosthesis selection in total hip replacement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4568326/ https://www.ncbi.nlm.nih.gov/pubmed/26417376 http://dx.doi.org/10.1155/2015/162481 |
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