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Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study
This study aimed to evaluate the mechanism of progression involved in knee osteoarthritis (OA). We used the computed tomography-based finite element method (CT-FEM) of quantitative X-ray CT imaging to calculate and create a model of the load response phase, wherein the greatest burden is placed on t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944518/ https://www.ncbi.nlm.nih.gov/pubmed/36810499 http://dx.doi.org/10.3390/jfmk8010015 |
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author | Watanabe, Kunihiro Mutsuzaki, Hirotaka Fukaya, Takashi Aoyama, Toshiyuki Nakajima, Syuichi Sekine, Norio Mori, Koichi |
author_facet | Watanabe, Kunihiro Mutsuzaki, Hirotaka Fukaya, Takashi Aoyama, Toshiyuki Nakajima, Syuichi Sekine, Norio Mori, Koichi |
author_sort | Watanabe, Kunihiro |
collection | PubMed |
description | This study aimed to evaluate the mechanism of progression involved in knee osteoarthritis (OA). We used the computed tomography-based finite element method (CT-FEM) of quantitative X-ray CT imaging to calculate and create a model of the load response phase, wherein the greatest burden is placed on the knee joint while walking. Weight gain was simulated by asking a male individual with a normal gait to carry sandbags on both shoulders. We developed a CT-FEM model that incorporated walking characteristics of individuals. Upon simulating changes owing to a weight gain of approximately 20%, the equivalent stress increased extensively in both medial and lower leg aspects of the femur and increased medio-posteriorly by approximately 230%. As the varus angle increased, stress on the surface of the femoral cartilage did not change significantly. However, the equivalent stress on the surface of the subchondral femur was distributed over a wider area, increasing by approximately 170% in the medio-posterior direction. The range of equivalent stress affecting the lower-leg end of the knee joint widened, and stress on the posterior medial side also increased significantly. It was reconfirmed that weight gain and varus enhancement increase knee-joint stress and cause the progression of OA. |
format | Online Article Text |
id | pubmed-9944518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99445182023-02-23 Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study Watanabe, Kunihiro Mutsuzaki, Hirotaka Fukaya, Takashi Aoyama, Toshiyuki Nakajima, Syuichi Sekine, Norio Mori, Koichi J Funct Morphol Kinesiol Brief Report This study aimed to evaluate the mechanism of progression involved in knee osteoarthritis (OA). We used the computed tomography-based finite element method (CT-FEM) of quantitative X-ray CT imaging to calculate and create a model of the load response phase, wherein the greatest burden is placed on the knee joint while walking. Weight gain was simulated by asking a male individual with a normal gait to carry sandbags on both shoulders. We developed a CT-FEM model that incorporated walking characteristics of individuals. Upon simulating changes owing to a weight gain of approximately 20%, the equivalent stress increased extensively in both medial and lower leg aspects of the femur and increased medio-posteriorly by approximately 230%. As the varus angle increased, stress on the surface of the femoral cartilage did not change significantly. However, the equivalent stress on the surface of the subchondral femur was distributed over a wider area, increasing by approximately 170% in the medio-posterior direction. The range of equivalent stress affecting the lower-leg end of the knee joint widened, and stress on the posterior medial side also increased significantly. It was reconfirmed that weight gain and varus enhancement increase knee-joint stress and cause the progression of OA. MDPI 2023-01-27 /pmc/articles/PMC9944518/ /pubmed/36810499 http://dx.doi.org/10.3390/jfmk8010015 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Brief Report Watanabe, Kunihiro Mutsuzaki, Hirotaka Fukaya, Takashi Aoyama, Toshiyuki Nakajima, Syuichi Sekine, Norio Mori, Koichi Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title | Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title_full | Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title_fullStr | Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title_full_unstemmed | Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title_short | Simulating Knee-Stress Distribution Using a Computed Tomography-Based Finite Element Model: A Case Study |
title_sort | simulating knee-stress distribution using a computed tomography-based finite element model: a case study |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944518/ https://www.ncbi.nlm.nih.gov/pubmed/36810499 http://dx.doi.org/10.3390/jfmk8010015 |
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