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Classification of fracture and non-fracture groups by analysis of coherent X-ray scatter

Dicken, A J; Evans, J P O; Rogers, K D; Stone, N; Greenwood, C; Godber, S X; Clement, J G; Lyburn, I D; Martin, R M; Zioupos, P

Authors

A J Dicken

J P O Evans

K D Rogers

N Stone

C Greenwood

S X Godber

J G Clement

I D Lyburn

R M Martin



Abstract

Osteoporotic fractures present a significant social and economic burden, which is set to rise commensurately with the aging population. Greater understanding of the physicochemical differences between osteoporotic and normal conditions will facilitate the development of diagnostic technologies with increased performance and treatments with increased efficacy. Using coherent X-ray scattering we have evaluated a population of 108 ex vivo human bone samples comprised of non-fracture and fracture groups. Principal component fed linear discriminant analysis was used to develop a classification model to discern each condition resulting in a sensitivity and specificity of 93% and 91%, respectively. Evaluating the coherent X-ray scatter differences from each condition supports the hypothesis that a causal physicochemical change has occurred in the fracture group. This work is a critical step along the path towards developing an in vivo diagnostic tool for fracture risk prediction.

Citation

Dicken, A. J., Evans, J. P. O., Rogers, K. D., Stone, N., Greenwood, C., Godber, S. X., …Zioupos, P. (2016). Classification of fracture and non-fracture groups by analysis of coherent X-ray scatter. Scientific reports, 6, Article 29011. https://doi.org/10.1038/srep29011

Journal Article Type Article
Acceptance Date Jun 10, 2016
Online Publication Date Jul 1, 2016
Publication Date Jul 1, 2016
Deposit Date Oct 24, 2023
Publicly Available Date Nov 7, 2023
Journal Scientific Reports
Print ISSN 2045-2322
Electronic ISSN 2045-2322
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 6
Article Number 29011
DOI https://doi.org/10.1038/srep29011
Public URL https://hull-repository.worktribe.com/output/4424588

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
Copyright © 2016, The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International 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/4.0/




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