Evidence Hub

Comparative analysis of bone density measurement techniques: a systematic review of quantitative ultrasound and dual-energy X-ray absorptiometry

Hadadi I

Frontiers in endocrinology, 2026

1 citation

Abstract

Background: Bone mineral density (BMD) and bone-related parameters are essential for osteoporosis detection. Different screening modalities are used, including quantitative ultrasound (QUS) and dual-energy X-ray absorptiometry (DXA). This systematic review aimed to evaluate the correlation and clinical utility of DXA and QUS measurements.

Methods: A literature search (2005-2025) was conducted in PubMed, Scopus, Web of Science, EMBASE, Google Scholar, and Cochrane Library for English-language studies. A narrative synthesis was performed to summarize the study characteristics and outcomes.

Results: Of the 1,247 identified records, 24 studies met the inclusion criteria. DXA and QUS were used to assess bone parameters, such as BMD, bone mineral content (BMC), speed of sound (SOS), broadband ultrasound attenuation (BAU), and stiffness index (SI). The correlation between DXA and QUS varied widely (r = 0.17-0.86), with variable diagnostic performance across studies. Studies involving postmenopausal women and older populations reported similar trends, whereas the findings were inconsistent in pediatric and disease-specific populations.

Conclusion: QUS is suitable for preliminary screening, especially in resource-limited settings, but cannot replace DXA for definitive diagnosis. Further well-designed studies with longer follow-up are required to better define the role of QUS in osteoporosis screening.

Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free