Imaging Science Group, Rosalind Franklin Building, Nottingham Trent University, Nottingham, UK.
Cranfield Forensic Institute, Cranfield University, Shrivenham, UK.
Sci Rep. 2016 Jul 1;6:29011. doi: 10.1038/srep29011.
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.
骨质疏松性骨折给社会和经济带来了巨大的负担，且随着人口老龄化，这一负担还将相应增加。深入了解骨质疏松症和正常情况下的理化差异，将有助于开发具有更高性能的诊断技术和更有效的治疗方法。我们使用相干 X 射线散射技术对 108 个人体骨骼样本进行了评估，这些样本来自非骨折组和骨折组。主成分线性判别分析被用于开发一个分类模型，以辨别每种情况，其敏感性和特异性分别为 93%和 91%。评估每个条件的相干 X 射线散射差异，支持了这样一种假设，即在骨折组中发生了一种因果理化变化。这项工作是开发用于骨折风险预测的体内诊断工具的关键一步。
