Classification of fracture and non-fracture groups by analysis of coherent Xray scatter

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

Research output: Contribution to journalReview article (Academic Journal)peer-review

5 Citations (Scopus)
203 Downloads (Pure)

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.
Original languageEnglish
Article number29011
Number of pages7
JournalScientific Reports
Volume6
DOIs
Publication statusPublished - 1 Jul 2016

Keywords

  • Preclinical research
  • X-rays

Fingerprint Dive into the research topics of 'Classification of fracture and non-fracture groups by analysis of coherent Xray scatter'. Together they form a unique fingerprint.

Cite this