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ObjectivesTo evaluate a method of quantitative X-ray (QXR) for obtaining bone health information from standard radiographs aimed at identifying early signs of osteoporosis to enable improved referral and treatment. This QXR measurement is performed by postexposure analysis of standard radiographs, meaning bone health data can be acquired opportunistically, alongside routine imaging.DesignThe relationship between QXR and dual energy X-ray absorptiometry (DEXA) was demonstrated with a phantom study. A prospective clinical study was conducted to establish areal bone mineral density (aBMD) prediction model and a risk prediction model of a non-normal DEXA outcome. This was then extrapolated to a larger patient group with DEXA referral data.SettingSecondary care National Health Service Hospital.Participants126 consenting adult patients from a DEXA clinic.InterventionsAll participants underwent a DEXA scan to determine BMD at the lumbar spine (L2–L4) and both hips. An additional Antero-Posterior pelvis X-ray on a Siemens Ysio, fixed digital radiograph system was performed for the study.OutcomePerformance of QXR as a risk predictor for non-normal (osteoporotic) BMD.ResultsInterim clinical study data from 78 patients confirmed a receiver operator curve (area under the ROC curve) of 0.893 (95% CI 0.843 to 0.942) for a risk prediction model of non-normal DEXA outcome. Extrapolation of these results to a larger patient group of 11 029 patients indicated a positive predictive value of 0.98 (sensitivity of 0.8) for a population of patients referred to DEXA under current clinical referral criteria.ConclusionsThis study confirms that the novel QXR method provides accurate prediction of a DEXA outcome.Trial registration numberISRCTN98160454; Pre-results.

Original publication

DOI

10.1136/bmjopen-2021-051021

Type

Journal article

Journal

Bmj open

Publisher

BMJ

Publication Date

12/2021

Volume

11

Pages

e051021 - e051021