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Prescreening for osteoporosis with forearm bone densitometry in health examination population

BACKGROUND: Early detection and timely prophylaxis can retard the progression of osteoporosis. The purpose of this study was to determine the validity of peripheral Dual Energy X-ray Absorptiometry (DXA) test for osteoporosis screening. We examined peripheral bone mineral density (BMD) using AKDX-09...

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Autores principales: Yue, Chun, Ding, Na, Xu, Lu-Lu, Fu, Ya-Qian, Guo, Yuan-Wei, Yang, Yan-Yi, Zhao, Xian-Mei, Sheng, Zhi-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027342/
https://www.ncbi.nlm.nih.gov/pubmed/35459140
http://dx.doi.org/10.1186/s12891-022-05325-6
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author Yue, Chun
Ding, Na
Xu, Lu-Lu
Fu, Ya-Qian
Guo, Yuan-Wei
Yang, Yan-Yi
Zhao, Xian-Mei
Sheng, Zhi-Feng
author_facet Yue, Chun
Ding, Na
Xu, Lu-Lu
Fu, Ya-Qian
Guo, Yuan-Wei
Yang, Yan-Yi
Zhao, Xian-Mei
Sheng, Zhi-Feng
author_sort Yue, Chun
collection PubMed
description BACKGROUND: Early detection and timely prophylaxis can retard the progression of osteoporosis. The purpose of this study was to determine the validity of peripheral Dual Energy X-ray Absorptiometry (DXA) test for osteoporosis screening. We examined peripheral bone mineral density (BMD) using AKDX-09 W-I DXA densitometer. Firstly, we acquired BMD data from manufacturer-supplied density-gradient phantoms and 30 volunteers to investigate its accuracy and precision, then we measured BMD for 150 volunteers using both AKDX (left forearm) and Hologic Discovery Wi (left forearm, left hip and L1 - L4 vertebrae) simultaneously. Correlation relationship of BMD results acquired from two instruments was assessed by simple linear regression analysis, the Receiver Operating Characteristic (ROC) curves and Areas Under the Curves (AUCs) were evaluated for the diagnostic value of left forearm BMD measured by AKDX in detecting osteoporosis. RESULTS: In vitro precision errors of AKDX BMD were 0.40, 0.20, 0.19%, respectively, on low-, medium-, and high-density phantom; in vivo precision was 1.65%. Positive correlation was observed between BMD measured by AKDX and Hologic at the forearm (r = 0.670), L1–L4 (r = 0.430, femoral neck (r = 0.449), and total hip (r = 0.559). With Hologic measured T-score as the gold standard, the sensitivity of AKDX T-score < − 1 for identifying suboptimal bone health was 63.0 and 76.1%, respectively, at the distal one-third radius and at any site, and the specificity was 73.9 and 90.0%, respectively; the AUCs were 0.708 and 0.879. The sensitivity of AKDX T-score ≤ − 2.5 for identifying osteoporosis at the distal one-third radius and at any site was 76.9 and70.4%, respectively, and the specificity was 80.4 and 78.0%, respectively; the AUCs were 0.823 and 0.778. CONCLUSIONS: Peripheral DXA appears to be a reliable tool for prescreening for osteoporosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05325-6.
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spelling pubmed-90273422022-04-23 Prescreening for osteoporosis with forearm bone densitometry in health examination population Yue, Chun Ding, Na Xu, Lu-Lu Fu, Ya-Qian Guo, Yuan-Wei Yang, Yan-Yi Zhao, Xian-Mei Sheng, Zhi-Feng BMC Musculoskelet Disord Research BACKGROUND: Early detection and timely prophylaxis can retard the progression of osteoporosis. The purpose of this study was to determine the validity of peripheral Dual Energy X-ray Absorptiometry (DXA) test for osteoporosis screening. We examined peripheral bone mineral density (BMD) using AKDX-09 W-I DXA densitometer. Firstly, we acquired BMD data from manufacturer-supplied density-gradient phantoms and 30 volunteers to investigate its accuracy and precision, then we measured BMD for 150 volunteers using both AKDX (left forearm) and Hologic Discovery Wi (left forearm, left hip and L1 - L4 vertebrae) simultaneously. Correlation relationship of BMD results acquired from two instruments was assessed by simple linear regression analysis, the Receiver Operating Characteristic (ROC) curves and Areas Under the Curves (AUCs) were evaluated for the diagnostic value of left forearm BMD measured by AKDX in detecting osteoporosis. RESULTS: In vitro precision errors of AKDX BMD were 0.40, 0.20, 0.19%, respectively, on low-, medium-, and high-density phantom; in vivo precision was 1.65%. Positive correlation was observed between BMD measured by AKDX and Hologic at the forearm (r = 0.670), L1–L4 (r = 0.430, femoral neck (r = 0.449), and total hip (r = 0.559). With Hologic measured T-score as the gold standard, the sensitivity of AKDX T-score < − 1 for identifying suboptimal bone health was 63.0 and 76.1%, respectively, at the distal one-third radius and at any site, and the specificity was 73.9 and 90.0%, respectively; the AUCs were 0.708 and 0.879. The sensitivity of AKDX T-score ≤ − 2.5 for identifying osteoporosis at the distal one-third radius and at any site was 76.9 and70.4%, respectively, and the specificity was 80.4 and 78.0%, respectively; the AUCs were 0.823 and 0.778. CONCLUSIONS: Peripheral DXA appears to be a reliable tool for prescreening for osteoporosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05325-6. BioMed Central 2022-04-22 /pmc/articles/PMC9027342/ /pubmed/35459140 http://dx.doi.org/10.1186/s12891-022-05325-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yue, Chun
Ding, Na
Xu, Lu-Lu
Fu, Ya-Qian
Guo, Yuan-Wei
Yang, Yan-Yi
Zhao, Xian-Mei
Sheng, Zhi-Feng
Prescreening for osteoporosis with forearm bone densitometry in health examination population
title Prescreening for osteoporosis with forearm bone densitometry in health examination population
title_full Prescreening for osteoporosis with forearm bone densitometry in health examination population
title_fullStr Prescreening for osteoporosis with forearm bone densitometry in health examination population
title_full_unstemmed Prescreening for osteoporosis with forearm bone densitometry in health examination population
title_short Prescreening for osteoporosis with forearm bone densitometry in health examination population
title_sort prescreening for osteoporosis with forearm bone densitometry in health examination population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027342/
https://www.ncbi.nlm.nih.gov/pubmed/35459140
http://dx.doi.org/10.1186/s12891-022-05325-6
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