Date: Monday, November 8, 2021
Session Type: Poster Session C
Session Time: 8:30AM-10:30AM
Background/Purpose: This study aimed to evaluate the diagnostic accuracy of the ultrasound-based densitometric technology called Radiofrequency Echographic Multi Spectrometry (REMS) in the diagnosis of osteoporosis in a population of adult male patients based on lumbar spine scans, compared to Dual-energy X-ray Absorptiometry (DXA), considered as a reference.
Methods: Inclusion criteria were: Caucasian male patients, aged between 30 and 90 years, body mass index (BMI) less than 40 kg/m2, no significant walking impairments, referral for lumbar spine DXA. Signed informed consent was obtained. The patients underwent a lumbar spine scans with both DXA and REMS.
The correlation between REMS and DXA-measured BMD was expressed by Pearson correlation coefficient. Bland-Altman plot was also obtained. Patients were classified as “with osteoporosis” or “without osteoporosis” on the base of the T-score value using the conventional threshold (-2.5) for both techniques independently. Considering the DXA outcome as reference, the accuracy of the diagnostic classification was assessed as sensitivity, specificity, Cohen’s K and 3-classes diagnostic concordance.
Results: Three hundred and thirteen patients were considered, with mean age of 57.7 years (range: 30 to 87 years). The Pearson correlation coefficient between REMS- and DXA-measured BMD values was r=0.92 (r2=0.85). At Bland-Altman analysis, bias ± 2 standard deviations were -0.002 ± 0.092 g/cm2.
The agreement in diagnostic classification performed by REMS and by DXA was very high, with a sensitivity of 89.1% and specificity of 90.7%. Cohen’s K was 0.71. Considering the 3 diagnostic classes (normal bone, osteopenia, osteoporosis), the diagnostic concordance between technologies was 81.5%.
Conclusion: REMS, applied to the lumbar spine site, is a reliable technology for the diagnosis of osteoporosis in men, thus confirming the diagnostic performance already observed in studies carried out in female populations [1, 2].
- Di Paola P et al. Osteoporos Int. 30(2):391-402.
- Adami G et al. Bone 2020 May;134:115297
To cite this abstract in AMA style:Ciardo D, Pisani P, Lombardi F, Di Paola M, Franchini R, Muratore M, Conversano F, Casciaro S. REMS Technology for the Assessment of Bone Health in a Male Population [abstract]. Arthritis Rheumatol. 2021; 73 (suppl 9). https://acrabstracts.org/abstract/rems-technology-for-the-assessment-of-bone-health-in-a-male-population/. Accessed February 3, 2023.
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