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

2.50
Hdl Handle:
http://hdl.handle.net/11287/620297
Title:
Classification of fracture and non-fracture groups by analysis of coherent X-ray scatter.
Authors:
Dicken, A J; Evans, J P O; Rogers, K D; Stone, Nick; Greenwood, C; Godber, S X; Clement, J G; Lyburn, I D; Martin, R M; Zioupos, P
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:
Classification of fracture and non-fracture groups by analysis of coherent X-ray scatter. 2016, 6:29011 Sci Rep
Publisher:
Nature
Journal:
Scientific Reports
Issue Date:
1-Jul-2016
URI:
http://hdl.handle.net/11287/620297
DOI:
10.1038/srep29011
PubMed ID:
27363947
Additional Links:
http://dx.doi.org/10.1038/srep29011
Note:
This article is freely available via the publisher's website. Click on the Additional Link above to access the full-text.
Type:
Journal Article
Language:
en
ISSN:
2045-2322
Appears in Collections:
Honorary contracts publications; 2016 RD&E publications

Full metadata record

DC FieldValue Language
dc.contributor.authorDicken, A Jen
dc.contributor.authorEvans, J P Oen
dc.contributor.authorRogers, K Den
dc.contributor.authorStone, Nicken
dc.contributor.authorGreenwood, Cen
dc.contributor.authorGodber, S Xen
dc.contributor.authorClement, J Gen
dc.contributor.authorLyburn, I Den
dc.contributor.authorMartin, R Men
dc.contributor.authorZioupos, Pen
dc.date.accessioned2017-03-17T11:29:57Z-
dc.date.available2017-03-17T11:29:57Z-
dc.date.issued2016-07-01-
dc.identifier.citationClassification of fracture and non-fracture groups by analysis of coherent X-ray scatter. 2016, 6:29011 Sci Repen
dc.identifier.issn2045-2322-
dc.identifier.pmid27363947-
dc.identifier.doi10.1038/srep29011-
dc.identifier.urihttp://hdl.handle.net/11287/620297-
dc.description.abstractOsteoporotic 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.en
dc.language.isoenen
dc.publisherNatureen
dc.relation.urlhttp://dx.doi.org/10.1038/srep29011en
dc.rightsArchived with thanks to Scientific Reportsen
dc.subjectWessex Classification Subject Headings::Orthopaedicsen
dc.titleClassification of fracture and non-fracture groups by analysis of coherent X-ray scatter.en
dc.typeJournal Articleen
dc.identifier.journalScientific Reportsen
dc.description.noteThis article is freely available via the publisher's website. Click on the Additional Link above to access the full-text.en
dc.type.versionPublisheden

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