Dicken, AJ, Evans, JPO, Rogers, KD, Stone, N, Greenwood, CE, Godber, SX, Clement, JG, Lyburn, ID, Martin, RM and Zioupos, P (2016) Classification of fracture and non-fracture groups by analysis of coherent X-ray scatter. Scientific Reports, 6 (1). ISSN 2045-2322

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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.

Item Type: Article
Additional Information: 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/
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC925 Diseases of the musculoskeletal system
Divisions: Faculty of Medicine and Health Sciences > Primary Care Health Sciences
Depositing User: Symplectic
Date Deposited: 17 Apr 2019 11:57
Last Modified: 11 Mar 2021 13:49
URI: https://eprints.keele.ac.uk/id/eprint/6199

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