Abstract
Raman spectroscopy was applied to nail clippings from 633 postmenopausal British and Irish women, from six clinical sites, of whom 42% had experienced a fragility fracture. The objective was to build a prediction algorithm for fracture using data from four sites (known as the calibration set) and test its performance using data from the other two sites (known as the validation set). Results from the validation set showed that a novel algorithm, combining spectroscopy data with clinical data, provided area under the curve (AUC) of 74% compared to an AUC of 60% from a reduced QFracture score (a clinically accepted risk calculator) and 61% from the dual-energy X-ray absorptiometry T-score, which is in current use for the diagnosis of osteoporosis. Raman spectroscopy should be investigated further as a noninvasive tool for the early detection of enhanced risk of fragility fracture.
Recommended Citation
J. R. Beattie and N. M. Cummins and C. Caraher and O. M. O'Driscoll and A. T. Bansal and R. Eastell and S. H. Ralston and M. D. Stone and G. Pearson and M. R. Towler, "Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate between Postmenopausal Women Who Have and Have Not Suffered a Fracture," Clinical Medicine Insights: Arthritis and Musculoskeletal Disorders, vol. 9, pp. 109 - 116, SAGE Publications, May 2016.
The definitive version is available at https://doi.org/10.4137/CMAMD.S38493
Department(s)
Chemical and Biochemical Engineering
International Standard Serial Number (ISSN)
1179-5441
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
31 May 2016
Included in
Biochemical and Biomolecular Engineering Commons, Biomedical Devices and Instrumentation Commons
Comments
Medical Research Council, Grant MR/K006312/1