scholarly journals Bone health assessed by calcaneal quantitative ultrasound among cohort of pregnant Egyptian women

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AlaaS Hassanin ◽  
Mohamed Laban ◽  
SherifH Hussain ◽  
AhmedM El-Kotb ◽  
FadyM Elghasnawy ◽  
...  
Author(s):  
Kok-Yong Chin ◽  
Soelaiman Ima-Nirwana ◽  
Isa Naina Mohamed ◽  
Fairus Ahmad ◽  
Elvy Suhana Mohd Ramli ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 178 ◽  
Author(s):  
Shaanthana Subramaniam ◽  
Chin-Yi Chan ◽  
Ima Nirwana Soelaiman ◽  
Norazlina Mohamed ◽  
Norliza Muhammad ◽  
...  

Background: Calcaneal quantitative ultrasound (QUS) is widely used in osteoporosis screening, but the cut-off values for risk stratification remain unclear. This study validates the performance of a calcaneal QUS device (CM-200) using dual-energy X-ray absorptiometry (DXA) as the reference and establishes a new set of cut-off values for CM-200 in identifying subjects with osteoporosis. Methods: The bone health status of Malaysians aged ≥40 years was assessed using CM-200 and DXA. Sensitivity, specificity, area under the curve (AUC) and the optimal cut-off values for risk stratification of CM-200 were determined using receiver operating characteristic (ROC) curves and Youden’s index (J). Results: From the data of 786 subjects, CM-200 (QUS T-score <−1) showed a sensitivity of 82.1% (95% CI: 77.9–85.7%), specificity of 51.5% (95% CI: 46.5–56.6%) and AUC of 0.668 (95% CI: 0.630–0.706) in identifying subjects with suboptimal bone health (DXA T-score <−1) (p < 0.001). At QUS T-score ≤−2.5, CM-200 was ineffective in identifying subjects with osteoporosis (DXA T-score ≤−2.5) (sensitivity 14.4% (95% CI: 8.1–23.0%); specificity 96.1% (95% CI: 94.4–97.4%); AUC 0.553 (95% CI: 0.488–0.617); p > 0.05). Modified cut-off values for the QUS T-score improved the performance of CM-200 in identifying subjects with osteopenia (sensitivity 67.7% (95% CI: 62.8–72.3%); specificity 72.8% (95% CI: 68.1–77.2%); J = 0.405; AUC 0.702 (95% CI: 0.666–0.739); p < 0.001) and osteoporosis (sensitivity 79.4% (95% CI: 70.0–86.9%); specificity 61.8% (95% CI: 58.1–65.5%); J = 0.412; AUC 0.706 (95% CI: 0.654–0.758); p < 0.001). Conclusion: The modified cut-off values significantly improved the performance of CM-200 in identifying individuals with osteoporosis. Since these values are device-specific, optimization is necessary for accurate detection of individuals at risk for osteoporosis using QUS.


2017 ◽  
Vol Volume 13 ◽  
pp. 1333-1341 ◽  
Author(s):  
Kok-Yong Chin ◽  
Nie Yen Low ◽  
Alia Annessa Ain Kamaruddin ◽  
Wan Burhanuddin Wan Ilma Dewiputri ◽  
Ima-Nirwana Soelaiman

2012 ◽  
Vol 23 (7) ◽  
pp. 1947-1956 ◽  
Author(s):  
J. Rawal ◽  
K. Eleftheriou ◽  
J. Skipworth ◽  
Z. Puthucheary ◽  
M. Loosemore ◽  
...  

2018 ◽  
Vol 30 (4) ◽  
pp. 466-473 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Dimitris Vlachopoulos ◽  
Esther Ubago-Guisado ◽  
Asunción Ferri-Morales ◽  
Iván Cavero-Redondo ◽  
...  

Purpose: The present study aims to investigate the association between dual-energy X-ray absorptiometry (DXA) and quantitative ultrasound (QUS) parameters and the intermethods agreement in active males. Methods: In this cross-sectional study, bone health (by DXA and calcaneal QUS), physical activity (by accelerometers), and anthropometrics measurements were assessed in 117 active adolescents (12–14 y old). Bivariate correlation coefficients were calculated to assess the relationships between DXA standard regions of interest and QUS parameters. Intraclass correlation coefficients and Bland–Altman plots were used to assess the level of agreement between bone mineral content regions derived from DXA and stiffness index. The measurements were z score transformed for comparison. Results: Most QUS parameters were positive and significantly correlated with DXA outcomes (stiffness index: r = .43–.52; broadband ultrasound attenuation: r = .50–.58; speed of sound: r = .25–.27) with the hip showing the highest correlations. Moreover, the present study found fair to good intraclass correlation coefficients of agreement (.60–.68) between DXA and QUS to assess bone health. The Bland–Altman analysis showed a limited percentage of outliers (3.2%–8.6%). Conclusion: QUS device could represent an acceptable alternative method to assess bone health in active adolescent males.


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