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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2017
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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. |
format | Online Article Text |
id | pubmed-5414912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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