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Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care

OBJECTIVES: To 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,...

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Autores principales: Rangan, Amar, Tuck, Stephen P, Scott, Paul D, Kottam, Lucksy, Jafari, Maya, Watson, Terence, Lopez, Ben, Crone, Ben, Whitbread, Tim, Ratcliffe, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713012/
https://www.ncbi.nlm.nih.gov/pubmed/34952875
http://dx.doi.org/10.1136/bmjopen-2021-051021
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author Rangan, Amar
Tuck, Stephen P
Scott, Paul D
Kottam, Lucksy
Jafari, Maya
Watson, Terence
Lopez, Ben
Crone, Ben
Whitbread, Tim
Ratcliffe, Adam
author_facet Rangan, Amar
Tuck, Stephen P
Scott, Paul D
Kottam, Lucksy
Jafari, Maya
Watson, Terence
Lopez, Ben
Crone, Ben
Whitbread, Tim
Ratcliffe, Adam
author_sort Rangan, Amar
collection PubMed
description OBJECTIVES: To 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. DESIGN: The 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. SETTING: Secondary care National Health Service Hospital. PARTICIPANTS: 126 consenting adult patients from a DEXA clinic. INTERVENTIONS: All 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. OUTCOME: Performance of QXR as a risk predictor for non-normal (osteoporotic) BMD. RESULTS: Interim 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. CONCLUSIONS: This study confirms that the novel QXR method provides accurate prediction of a DEXA outcome. TRIAL REGISTRATION NUMBER: ISRCTN98160454; Pre-results.
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spelling pubmed-87130122022-01-11 Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care Rangan, Amar Tuck, Stephen P Scott, Paul D Kottam, Lucksy Jafari, Maya Watson, Terence Lopez, Ben Crone, Ben Whitbread, Tim Ratcliffe, Adam BMJ Open Diagnostics OBJECTIVES: To 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. DESIGN: The 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. SETTING: Secondary care National Health Service Hospital. PARTICIPANTS: 126 consenting adult patients from a DEXA clinic. INTERVENTIONS: All 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. OUTCOME: Performance of QXR as a risk predictor for non-normal (osteoporotic) BMD. RESULTS: Interim 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. CONCLUSIONS: This study confirms that the novel QXR method provides accurate prediction of a DEXA outcome. TRIAL REGISTRATION NUMBER: ISRCTN98160454; Pre-results. BMJ Publishing Group 2021-12-24 /pmc/articles/PMC8713012/ /pubmed/34952875 http://dx.doi.org/10.1136/bmjopen-2021-051021 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diagnostics
Rangan, Amar
Tuck, Stephen P
Scott, Paul D
Kottam, Lucksy
Jafari, Maya
Watson, Terence
Lopez, Ben
Crone, Ben
Whitbread, Tim
Ratcliffe, Adam
Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title_full Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title_fullStr Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title_full_unstemmed Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title_short Prospective comparative study of quantitative X-ray (QXR) versus dual energy X-ray absorptiometry to determine the performance of QXR as a predictor of bone health for adult patients in secondary care
title_sort prospective comparative study of quantitative x-ray (qxr) versus dual energy x-ray absorptiometry to determine the performance of qxr as a predictor of bone health for adult patients in secondary care
topic Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713012/
https://www.ncbi.nlm.nih.gov/pubmed/34952875
http://dx.doi.org/10.1136/bmjopen-2021-051021
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