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Measurement of abnormal bone composition in vivo using noninvasive Raman spectroscopy

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Kevin Buckley
  • Jemma Kerns
  • Panagiotis D. Gikas
  • Helen Birch
  • Jacqueline Vinton
  • Richard Keen
  • Anthony W. Parker
  • Pavel Matousek
  • Allen Goodship
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Article number602
<mark>Journal publication date</mark>26/11/2014
<mark>Journal</mark>IBMS BoneKEy
Volume11
Number of pages3
Pages (from-to)1-3
Publication StatusPublished
<mark>Original language</mark>English

Abstract

X-ray-based diagnostic techniques, which are by far the most widely used for diagnosing bone disorders and diseases, are largely blind to the protein component of bone. Bone proteins are important because they determine certain
mechanical properties of bone and changes in the proteins have been associated with a number of bone diseases. Spatially Offset Raman Spectroscopy (SORS) is a chemically specific analytical technique that can be used to retrieve information noninvasively from both the mineral and protein phases of the bone material in vivo. Here we demonstrate that SORS can be used to detect a known compositional abnormality in the bones of a patient suffering from the genetic
bone disorder, osteogenesis imperfecta, a condition which affects collagen. The confirmation of the principle that bone diseases in living patients can be detected noninvasively using SORS points the way to larger studies that focus on osteoporosis and other chronic debilitating bone diseases with large socioeconomic burdens.

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This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http:// creativecommons.org/licenses/by/3.0/