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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Main Authors: Ding, N. (Author), Fu, Y.-Q (Author), Guo, Y.-W (Author), Sheng, Z.-F (Author), Xu, L.-L (Author), Yang, Y.-Y (Author), Yue, C. (Author), Zhao, X.-M (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
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Online Access:View Fulltext in Publisher
LEADER 03135nam a2200409Ia 4500
001 10.1186-s12891-022-05325-6
008 220510s2022 CNT 000 0 und d
020 |a 14712474 (ISSN) 
245 1 0 |a Prescreening for osteoporosis with forearm bone densitometry in health examination population 
260 0 |b BioMed Central Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s12891-022-05325-6 
520 3 |a 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. © 2022, The Author(s). 
650 0 4 |a Absorptiometry, Photon 
650 0 4 |a bone density 
650 0 4 |a Bone Density 
650 0 4 |a Bone mineral density 
650 0 4 |a diagnostic imaging 
650 0 4 |a femoral neck 
650 0 4 |a Femur Neck 
650 0 4 |a forearm 
650 0 4 |a Forearm 
650 0 4 |a Forearm bone densitometry 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a osteoporosis 
650 0 4 |a Osteoporosis 
650 0 4 |a photon absorptiometry 
650 0 4 |a Prescreening 
700 1 |a Ding, N.  |e author 
700 1 |a Fu, Y.-Q.  |e author 
700 1 |a Guo, Y.-W.  |e author 
700 1 |a Sheng, Z.-F.  |e author 
700 1 |a Xu, L.-L.  |e author 
700 1 |a Yang, Y.-Y.  |e author 
700 1 |a Yue, C.  |e author 
700 1 |a Zhao, X.-M.  |e author 
773 |t BMC Musculoskeletal Disorders