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Prescreening for Osteoporosis With Quantitative Ultrasound in Postmenopausal White Women. | LitMetric

Prescreening for Osteoporosis With Quantitative Ultrasound in Postmenopausal White Women.

J Ultrasound Med

Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.

Published: June 2019

Objectives: Calcaneal quantitative ultrasound (QUS) is a readily accessible and radiation-free alternative to dual-energy x-ray absorptiometry (DXA) for assessing bone mineral density (BMD). Results obtained from QUS measurement cannot directly be compared to DXA, since these techniques capture different bone-specific parameters. To identify individuals who are likely to have osteoporosis by DXA, device-specific thresholds have to be defined for QUS. This cross-sectional study evaluated the accuracy of QUS to identify postmenopausal women with osteoporosis, defined as a T score of -2.5 SDs or lower by DXA, and to calculate device-specific cutoff values for the QUS device investigated.

Methods: We assessed BMD at the lumbar spine, bilateral femoral neck, and total hip sites with DXA and QUS parameters of the right and left calcanei in a cohort of 245 postmenopausal treatment-naïve women between 40 and 82 years. Correlation coefficients for BMD and QUS parameters were calculated. Receiver operating characteristic curves were generated, and areas under the curves (AUCs) were evaluated. Cutoff values for QUS were defined.

Results: Calcaneal QUS had the ability to identify postmenopausal women with a T score of -2.5 or lower at the right hip (AUC, 0.887) and left femoral neck (AUC, 0.824). Cutoff values for the QUS T scores at the right (-1.455) and left (-1.480) calcanei were defined for screening purposes.

Conclusions: This study provides insights into the comparative performance of QUS with DXA. Considering the diagnostic accuracy of this modality in comparison to DXA, it can be recommended as a prescreening tool to reduce the number of DXA screenings.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379566PMC
http://dx.doi.org/10.1002/jum.14844DOI Listing

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