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Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images

BACKGROUND: To evaluate the feasibility of a micro-image based finite element model to determine the efficacy of sequential treatments on the bone quality in a rat osteoporosis model. METHODS: Rat osteoporosis and treated osteoporosis models were established with the bone loss, restore and maintain...

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Autores principales: Rhee, Yumie, Hur, June-Huyck, Won, Ye-Yeon, Lim, Sung-Kil, Beak, Myong-Hyun, Cui, Wen-Quan, Kim, Kwang-Gyoun, Kim, Young Eun
Formato: Texto
Lenguaje:English
Publicado: The Korean Orthopaedic Association 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766693/
https://www.ncbi.nlm.nih.gov/pubmed/19884996
http://dx.doi.org/10.4055/cios.2009.1.1.40
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author Rhee, Yumie
Hur, June-Huyck
Won, Ye-Yeon
Lim, Sung-Kil
Beak, Myong-Hyun
Cui, Wen-Quan
Kim, Kwang-Gyoun
Kim, Young Eun
author_facet Rhee, Yumie
Hur, June-Huyck
Won, Ye-Yeon
Lim, Sung-Kil
Beak, Myong-Hyun
Cui, Wen-Quan
Kim, Kwang-Gyoun
Kim, Young Eun
author_sort Rhee, Yumie
collection PubMed
description BACKGROUND: To evaluate the feasibility of a micro-image based finite element model to determine the efficacy of sequential treatments on the bone quality in a rat osteoporosis model. METHODS: Rat osteoporosis and treated osteoporosis models were established with the bone loss, restore and maintain concept. Thirty Sprague-Dawley rats were used in this study. A sham operation or ovariectomy was performed at 20 weeks after birth, which was followed by the respective sequential trials as follows: (1) sham-operation only, (2) ovariectomy only, (3) ovariectomized rats with parathyroid hormone maintenance, (4) ovariectomized rats treated with PTH for 5 weeks and then withdrawal, (5) ovariectomized rats treated with PTH for 5 weeks and then with 17 beta-estradiol, and (6) ovariectomized rats treated with parathyroid hormone for 5 weeks and then treated with zoledronate. The histomorphometry indices were determined using the micro-images from a micro-computed tomogram. Finite element analysis was carried out to determine the mechanical properties (Stiffness and Young's modulus) of the vertebra bodies. The differences in properties between the groups were compared using ANOVA and a Bonferroni's multiple group comparison procedure. RESULTS: The histomorphometry and mechanical properties were significantly better in groups (3) and (6) than in the groups (1) and (2) (p < 0.05). The stiffness (σ(s)) and Young's modulus (E) was highest in group (3) following by group (6). CONCLUSIONS: Finite element analysis based on micro-images provides a useful tool that reflects the changes in micro-structural and mechanical properties of a rat vertebral body with the bone loss, restore and maintain concept.
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spelling pubmed-27666932009-11-02 Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images Rhee, Yumie Hur, June-Huyck Won, Ye-Yeon Lim, Sung-Kil Beak, Myong-Hyun Cui, Wen-Quan Kim, Kwang-Gyoun Kim, Young Eun Clin Orthop Surg Original Article BACKGROUND: To evaluate the feasibility of a micro-image based finite element model to determine the efficacy of sequential treatments on the bone quality in a rat osteoporosis model. METHODS: Rat osteoporosis and treated osteoporosis models were established with the bone loss, restore and maintain concept. Thirty Sprague-Dawley rats were used in this study. A sham operation or ovariectomy was performed at 20 weeks after birth, which was followed by the respective sequential trials as follows: (1) sham-operation only, (2) ovariectomy only, (3) ovariectomized rats with parathyroid hormone maintenance, (4) ovariectomized rats treated with PTH for 5 weeks and then withdrawal, (5) ovariectomized rats treated with PTH for 5 weeks and then with 17 beta-estradiol, and (6) ovariectomized rats treated with parathyroid hormone for 5 weeks and then treated with zoledronate. The histomorphometry indices were determined using the micro-images from a micro-computed tomogram. Finite element analysis was carried out to determine the mechanical properties (Stiffness and Young's modulus) of the vertebra bodies. The differences in properties between the groups were compared using ANOVA and a Bonferroni's multiple group comparison procedure. RESULTS: The histomorphometry and mechanical properties were significantly better in groups (3) and (6) than in the groups (1) and (2) (p < 0.05). The stiffness (σ(s)) and Young's modulus (E) was highest in group (3) following by group (6). CONCLUSIONS: Finite element analysis based on micro-images provides a useful tool that reflects the changes in micro-structural and mechanical properties of a rat vertebral body with the bone loss, restore and maintain concept. The Korean Orthopaedic Association 2009-03 2009-02-06 /pmc/articles/PMC2766693/ /pubmed/19884996 http://dx.doi.org/10.4055/cios.2009.1.1.40 Text en Copyright © 2009 by The Korean Orthopaedic Association http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rhee, Yumie
Hur, June-Huyck
Won, Ye-Yeon
Lim, Sung-Kil
Beak, Myong-Hyun
Cui, Wen-Quan
Kim, Kwang-Gyoun
Kim, Young Eun
Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title_full Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title_fullStr Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title_full_unstemmed Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title_short Assessment of Bone Quality using Finite Element Analysis Based upon Micro-CT Images
title_sort assessment of bone quality using finite element analysis based upon micro-ct images
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766693/
https://www.ncbi.nlm.nih.gov/pubmed/19884996
http://dx.doi.org/10.4055/cios.2009.1.1.40
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