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Towards the in vivo prediction of fragility fractures with Raman spectroscopy

Fragility fractures, those fractures which result from low level trauma, have a large and growing socio‐economic cost in countries with aging populations. Bone‐density‐based assessment techniques are vital for identifying populations that are at higher risk of fracture, but do not have high sensitiv...

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Autores principales: Buckley, Kevin, Kerns, Jemma G., Vinton, Jacqueline, Gikas, Panagiotis D., Smith, Christian, Parker, Anthony W., Matousek, Pavel, Goodship, Allen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976623/
https://www.ncbi.nlm.nih.gov/pubmed/27546955
http://dx.doi.org/10.1002/jrs.4706
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author Buckley, Kevin
Kerns, Jemma G.
Vinton, Jacqueline
Gikas, Panagiotis D.
Smith, Christian
Parker, Anthony W.
Matousek, Pavel
Goodship, Allen E.
author_facet Buckley, Kevin
Kerns, Jemma G.
Vinton, Jacqueline
Gikas, Panagiotis D.
Smith, Christian
Parker, Anthony W.
Matousek, Pavel
Goodship, Allen E.
author_sort Buckley, Kevin
collection PubMed
description Fragility fractures, those fractures which result from low level trauma, have a large and growing socio‐economic cost in countries with aging populations. Bone‐density‐based assessment techniques are vital for identifying populations that are at higher risk of fracture, but do not have high sensitivity when it comes to identifying individuals who will go on to have their first fragility fracture. We are developing Spatially Offset Raman Spectroscopy (SORS) as a tool for retrieving chemical information from bone non‐invasively in vivo. Unlike X‐ray‐based techniques SORS can retrieve chemical information from both the mineral and protein phases of the bone. This may enable better discrimination between those who will or will not go on to have a fragility fracture because both phases contribute to bone's mechanical properties. In this study we analyse excised bone with Raman spectroscopy and multivariate analysis, and then attempt to look for similar Raman signals in vivo using SORS. We show in the excised work that on average, bone fragments from the necks of fractured femora are more mineralised (by 5–10%) than (cadaveric) non‐fractured controls, but the mineralisation distributions of the two cohorts are largely overlapped. In our in vivo measurements, we observe similar, but as yet statistically underpowered, differences. After the SORS data (the first SORS measurements reported of healthy and diseased human cohorts), we identify methodological developments which will be used to improve the statistical significance of future experiments and may eventually lead to more sensitive prediction of fragility fractures. © 2015 The Authors. Journal of Raman Spectroscopy Published by John Wiley & Sons, Ltd.
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spelling pubmed-49766232016-08-18 Towards the in vivo prediction of fragility fractures with Raman spectroscopy Buckley, Kevin Kerns, Jemma G. Vinton, Jacqueline Gikas, Panagiotis D. Smith, Christian Parker, Anthony W. Matousek, Pavel Goodship, Allen E. J Raman Spectrosc Research Articles Fragility fractures, those fractures which result from low level trauma, have a large and growing socio‐economic cost in countries with aging populations. Bone‐density‐based assessment techniques are vital for identifying populations that are at higher risk of fracture, but do not have high sensitivity when it comes to identifying individuals who will go on to have their first fragility fracture. We are developing Spatially Offset Raman Spectroscopy (SORS) as a tool for retrieving chemical information from bone non‐invasively in vivo. Unlike X‐ray‐based techniques SORS can retrieve chemical information from both the mineral and protein phases of the bone. This may enable better discrimination between those who will or will not go on to have a fragility fracture because both phases contribute to bone's mechanical properties. In this study we analyse excised bone with Raman spectroscopy and multivariate analysis, and then attempt to look for similar Raman signals in vivo using SORS. We show in the excised work that on average, bone fragments from the necks of fractured femora are more mineralised (by 5–10%) than (cadaveric) non‐fractured controls, but the mineralisation distributions of the two cohorts are largely overlapped. In our in vivo measurements, we observe similar, but as yet statistically underpowered, differences. After the SORS data (the first SORS measurements reported of healthy and diseased human cohorts), we identify methodological developments which will be used to improve the statistical significance of future experiments and may eventually lead to more sensitive prediction of fragility fractures. © 2015 The Authors. Journal of Raman Spectroscopy Published by John Wiley & Sons, Ltd. John Wiley and Sons Inc. 2015-07 2015-05-12 /pmc/articles/PMC4976623/ /pubmed/27546955 http://dx.doi.org/10.1002/jrs.4706 Text en © 2015 The Authors. Journal of Raman Spectroscopy Published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Buckley, Kevin
Kerns, Jemma G.
Vinton, Jacqueline
Gikas, Panagiotis D.
Smith, Christian
Parker, Anthony W.
Matousek, Pavel
Goodship, Allen E.
Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title_full Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title_fullStr Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title_full_unstemmed Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title_short Towards the in vivo prediction of fragility fractures with Raman spectroscopy
title_sort towards the in vivo prediction of fragility fractures with raman spectroscopy
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976623/
https://www.ncbi.nlm.nih.gov/pubmed/27546955
http://dx.doi.org/10.1002/jrs.4706
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