Correlation between radiofrequency echographic multi-spectrometry (REMS) and dual-energy X-ray absorptiometry (DXA): A systematic review and meta-analysis
Abstract
BACKGROUND
Radiofrequency echographic multi-spectrometry (REMS) is an emerging ultrasound-based technology for assessing bone mineral density (BMD). However, its correlation with the current gold standard, dual-energy X-ray absorptiometry (DXA), has not been comprehensively quantified. This study aimed to systematically review and meta-analyse the correlation between REMS and DXA.
METHODS
We systematically searched databases for studies reporting correlations between REMS and DXA at the femoral neck and lumbar spine. Correlation coefficients were pooled via random-effects models after Fisher's z transformation. We performed subgroup analyses and meta-regression by study location, population, and sample size, along with sensitivity analyses.
RESULTS
Seventeen studies comprising 8769 participants (90.9% female) for lumbar spine and 7464 participants (92.3% female) for femoral neck BMD were included. The pooled correlation coefficients between REMS and DXA were r = 0.819 (95% CI: 0.684-0.900) at the femoral neck and r = 0.769 (95% CI: 0.610-0.868) at the lumbar spine, indicating strong correlations. Correlations were comparable between studies from Italy and other countries but were lower in disease-specific populations and in smaller studies. Meta-regression confirmed significant effects of population type and sample size. Statistical heterogeneity was high (I2 > 95%), and sensitivity analyses supported the robustness of the findings.
CONCLUSIONS
REMS-derived BMD demonstrates…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, 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. Reported size: 8,769 participants or records.
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