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Finite element models for fracture prevention in patients with metastatic bone disease. A literature review

Patients with bone metastases have an increased risk to sustain a pathological fracture as lytic metastatic lesions damage and weaken the bone. In order to prevent fractures, prophylactic treatment is advised for patients with a high fracture risk. Mechanical stabilization of the femur can be provid...

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Autores principales: Sas, Amelie, Tanck, Esther, Sermon, An, van Lenthe, G. Harry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292864/
https://www.ncbi.nlm.nih.gov/pubmed/32551337
http://dx.doi.org/10.1016/j.bonr.2020.100286
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author Sas, Amelie
Tanck, Esther
Sermon, An
van Lenthe, G. Harry
author_facet Sas, Amelie
Tanck, Esther
Sermon, An
van Lenthe, G. Harry
author_sort Sas, Amelie
collection PubMed
description Patients with bone metastases have an increased risk to sustain a pathological fracture as lytic metastatic lesions damage and weaken the bone. In order to prevent fractures, prophylactic treatment is advised for patients with a high fracture risk. Mechanical stabilization of the femur can be provided through femoroplasty, a minimally invasive procedure where bone cement is injected into the lesion, or through internal fixation with intra- or extramedullary implants. Clinicians face the task of determining whether or not prophylactic treatment is required and which treatment would be the most optimal. Finite element (FE) models are promising tools that could support this decision process. The aim of this paper is to provide an overview of the state-of-the-art in FE modeling for the treatment decision of metastatic bone lesions in the femur. First, we will summarize the clinical and mechanical results of femoroplasty as a prophylactic treatment method. Secondly, current FE models for fracture risk assessment of metastatic femurs will be reviewed and the remaining challenges for clinical implementation will be discussed. Thirdly, we will elaborate on the simulation of femoroplasty in FE models and discuss future opportunities. Femoroplasty has already proven to effectively relieve pain and improve functionality, but there remains uncertainty whether it provides sufficient mechanical strengthening to prevent pathological fractures. FE models could help to select appropriate candidates for whom femoroplasty provides sufficient increase in strength and to further improve the mechanical benefit by optimizing the locations for cement augmentation.
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spelling pubmed-72928642020-06-17 Finite element models for fracture prevention in patients with metastatic bone disease. A literature review Sas, Amelie Tanck, Esther Sermon, An van Lenthe, G. Harry Bone Rep Articles from the Special Issue on Computational Methods in Bone Research; Edited by Dr Penny Atkins and Dr Patrik Christen Patients with bone metastases have an increased risk to sustain a pathological fracture as lytic metastatic lesions damage and weaken the bone. In order to prevent fractures, prophylactic treatment is advised for patients with a high fracture risk. Mechanical stabilization of the femur can be provided through femoroplasty, a minimally invasive procedure where bone cement is injected into the lesion, or through internal fixation with intra- or extramedullary implants. Clinicians face the task of determining whether or not prophylactic treatment is required and which treatment would be the most optimal. Finite element (FE) models are promising tools that could support this decision process. The aim of this paper is to provide an overview of the state-of-the-art in FE modeling for the treatment decision of metastatic bone lesions in the femur. First, we will summarize the clinical and mechanical results of femoroplasty as a prophylactic treatment method. Secondly, current FE models for fracture risk assessment of metastatic femurs will be reviewed and the remaining challenges for clinical implementation will be discussed. Thirdly, we will elaborate on the simulation of femoroplasty in FE models and discuss future opportunities. Femoroplasty has already proven to effectively relieve pain and improve functionality, but there remains uncertainty whether it provides sufficient mechanical strengthening to prevent pathological fractures. FE models could help to select appropriate candidates for whom femoroplasty provides sufficient increase in strength and to further improve the mechanical benefit by optimizing the locations for cement augmentation. Elsevier 2020-05-26 /pmc/articles/PMC7292864/ /pubmed/32551337 http://dx.doi.org/10.1016/j.bonr.2020.100286 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles from the Special Issue on Computational Methods in Bone Research; Edited by Dr Penny Atkins and Dr Patrik Christen
Sas, Amelie
Tanck, Esther
Sermon, An
van Lenthe, G. Harry
Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title_full Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title_fullStr Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title_full_unstemmed Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title_short Finite element models for fracture prevention in patients with metastatic bone disease. A literature review
title_sort finite element models for fracture prevention in patients with metastatic bone disease. a literature review
topic Articles from the Special Issue on Computational Methods in Bone Research; Edited by Dr Penny Atkins and Dr Patrik Christen
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292864/
https://www.ncbi.nlm.nih.gov/pubmed/32551337
http://dx.doi.org/10.1016/j.bonr.2020.100286
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