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Histology-based homogenization analysis of soft tissue: application to prostate cancer

It is well known that the changes in tissue microstructure associated with certain pathophysiological conditions can influence its mechanical properties. Quantitatively relating the tissue microstructure to the macroscopic mechanical properties could lead to significant improvements in clinical diag...

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Detalles Bibliográficos
Autores principales: Palacio-Torralba, Javier, Good, Daniel W., McNeill, S. Alan, Reuben, Robert L., Chen, Yuhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414912/
https://www.ncbi.nlm.nih.gov/pubmed/28404869
http://dx.doi.org/10.1098/rsif.2017.0088
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author Palacio-Torralba, Javier
Good, Daniel W.
McNeill, S. Alan
Reuben, Robert L.
Chen, Yuhang
author_facet Palacio-Torralba, Javier
Good, Daniel W.
McNeill, S. Alan
Reuben, Robert L.
Chen, Yuhang
author_sort Palacio-Torralba, Javier
collection PubMed
description It is well known that the changes in tissue microstructure associated with certain pathophysiological conditions can influence its mechanical properties. Quantitatively relating the tissue microstructure to the macroscopic mechanical properties could lead to significant improvements in clinical diagnosis, especially when the mechanical properties of the tissue are used as diagnostic indices such as in digital rectal examination and elastography. In this study, a novel method of imposing periodic boundary conditions in non-periodic finite-element meshes is presented. This method is used to develop quantitative relationships between tissue microstructure and its apparent mechanical properties for benign and malignant tissue at various length scales. Finally, the inter-patient variation in the tissue properties is also investigated. Results show significant changes in the statistical distribution of the mechanical properties at different length scales. More importantly the loss of the normal differentiation of glandular structure of cancerous tissue has been demonstrated to lead to changes in mechanical properties and anisotropy. The proposed methodology is not limited to a particular tissue or material and the example used could help better understand how changes in the tissue microstructure caused by pathological conditions influence the mechanical properties, ultimately leading to more sensitive and accurate diagnostic technologies.
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spelling pubmed-54149122017-05-08 Histology-based homogenization analysis of soft tissue: application to prostate cancer Palacio-Torralba, Javier Good, Daniel W. McNeill, S. Alan Reuben, Robert L. Chen, Yuhang J R Soc Interface Life Sciences–Engineering interface It is well known that the changes in tissue microstructure associated with certain pathophysiological conditions can influence its mechanical properties. Quantitatively relating the tissue microstructure to the macroscopic mechanical properties could lead to significant improvements in clinical diagnosis, especially when the mechanical properties of the tissue are used as diagnostic indices such as in digital rectal examination and elastography. In this study, a novel method of imposing periodic boundary conditions in non-periodic finite-element meshes is presented. This method is used to develop quantitative relationships between tissue microstructure and its apparent mechanical properties for benign and malignant tissue at various length scales. Finally, the inter-patient variation in the tissue properties is also investigated. Results show significant changes in the statistical distribution of the mechanical properties at different length scales. More importantly the loss of the normal differentiation of glandular structure of cancerous tissue has been demonstrated to lead to changes in mechanical properties and anisotropy. The proposed methodology is not limited to a particular tissue or material and the example used could help better understand how changes in the tissue microstructure caused by pathological conditions influence the mechanical properties, ultimately leading to more sensitive and accurate diagnostic technologies. The Royal Society 2017-04 2017-04-12 /pmc/articles/PMC5414912/ /pubmed/28404869 http://dx.doi.org/10.1098/rsif.2017.0088 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Engineering interface
Palacio-Torralba, Javier
Good, Daniel W.
McNeill, S. Alan
Reuben, Robert L.
Chen, Yuhang
Histology-based homogenization analysis of soft tissue: application to prostate cancer
title Histology-based homogenization analysis of soft tissue: application to prostate cancer
title_full Histology-based homogenization analysis of soft tissue: application to prostate cancer
title_fullStr Histology-based homogenization analysis of soft tissue: application to prostate cancer
title_full_unstemmed Histology-based homogenization analysis of soft tissue: application to prostate cancer
title_short Histology-based homogenization analysis of soft tissue: application to prostate cancer
title_sort histology-based homogenization analysis of soft tissue: application to prostate cancer
topic Life Sciences–Engineering interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414912/
https://www.ncbi.nlm.nih.gov/pubmed/28404869
http://dx.doi.org/10.1098/rsif.2017.0088
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