06/09/2026
From Dr. Andrew Bush [post 3 of 3]
Accepting change is difficult, but it is often necessary to achieve a desired goal. To implement a bone health assessment program that will accurately and reliably determine fracture risk and that is globally accessible will require making changes to the current densitometry systems and the accepted dogma that underpins the system. To escape the shackles of BMD determination novel methods need to be developed that investigate and assess the structural integrity of bone to determine its strength. Methods already exist that can perform these types of assessments quite accurately, the most promising of which are based on CT-scanning techniques using Finite Element Analysis for fracture modeling [16]. However, the risks of radiation exposure from CT-based methods and its known association with carcinogenesis [17] as well as the limited availability of the necessary equipment and facilities make any CT-based system as unlikely to achieve the goal of global fracture risk screening as is the case with DXA [1].
The use of modern, ultrasound-based, bone assessment technology will provide the method to attain the elusive goal of global fracture risk assessment. Historically, quantitative ultrasound (QUS) and the QUS-determined Stiffness Index (SI) demonstrated the ability of sound waves to characterize bone structure and predict fracture risk [18-20]. However, due to technical limitations of transmission ultrasound, densitometry assessment could only be performed at peripheral sites (i.e., the calcaneus) and not at the WHO established axial Regions of Interest (i.e., the lumbar spine and the hips). Pulsed echographic sonography ushered in the era of bone microarchitecture assessment to determine bone strength at WHO designated axial Regions of Interest [21,22]. This technology is now an accepted method to diagnose osteoporosis [23-25] and determine fracture risk [26,27]. REMS technology, developed by Echolight SPA, Lecce, Italy, is already being used world-wide for the assessment of bone mass and toughness. The REMS-determined Fragility Score has proven to be an accurate, reliable, reproducible, portable, and radiation-free method of determining fracture risk by determining bone strength [28].
Unfortunately, the topic of sonographic densitometry was not mentioned or discussed in the IOF Position Paper [1]. For the past three decades, focus has remained on the radiation-based and imperfect methods of bone assessment, with the irrational hope that these systems could be made more relevant and accurate in predicting fracture risk by applying a patchwork of workarounds. But the time to change focus is upon us. REMS needs to be recognized as the powerful technology it is, so that the usual standards of rigorous academic assessment can be applied to determine its full capabilities. It is wrong to continue to ignore REMS, which has the potential to help solve the current fracture risk prediction conundrum and improve equity of access especially in low and middle-income countries [25]. REMS should be introduced into the current bone health care discussions to contribute to the development and implementation of a standardized global policy and uniform method for determining fracture risk and preventing fragility fractures.
16. Johannesdottir F, Allaire B, Bouxsein ML. Fracture Prediction by Computed Tomography and Finite Element Analysis: Current and Future Perspectives. Curr Osteoporos Rep. 2018 Aug;16(4):411-422. doi:10.1007/s11914-018-0450-z. Erratum in: Curr Osteoporos Rep. 2022 Oct;20(5):364. PMID: 29846870.
17. Smith-Bindman R, Chu PW, Azman Firdaus H, et.al. Projected Lifetime Cancer Risks From Current Computed Tomography Imaging, JAMA Intern Med, 2025;185;(6):710-719. doi:10.1001/jamainternmed.2025.0505
18. Hans D, Baim S. Quantitative Ultrasound (QUS) in the Management of Osteoporosis and Assessment of Fracture Risk. J Clin Densitom. 2017 Jul-Sep;20(3):322-333. doi:10.1016/j.jocd.2017.06.018. Epub 2017 Jul 21. PMID: 28739081.
19. Diez-Perez A, et al. Prediction of absolute risk of non-spinal fractures using clinical risk factors and heel quantitative ultrasound, Osteoporosis Int (2007) 18: 629-639.
20. McCloskey EV, Kanis JA, Odén A, Harvey NC, Bauer D, González-Macias J, et al. Predictive ability of heel quantitative ultrasound for incident fractures: an individual-level meta-analysis, Osteoporos Int. 2015 Jul;26(7):1979-87. doi:10.1007/s00198-015-3072-7. Epub 2015 Feb 18.
21. Conversano F, Franchini R, Greco A, Soloperto G, Chiriacò F, Casciaro E, et al. A novel ultrasound methodology for estimating spine mineral density. Ultrasound Med Biol. 2015 Jan;41(1):281-300. doi:10.1016/j.ultrasmedbio.2014.08.017. Epub 2014 Nov 15. PMID: 25438845.
22. Casciaro S, Peccarisi M, Pisani P, Franchini R, Greco A, De Marco T, et al. An Advanced Quantitative Echosound Methodology for Femoral Neck Densitometry, Ultrasound Med Biol. 2016 Jun;42(6):1337-56. doi:10.1016/j.ultrasmedbio.2016.01.024. Epub 2016 Mar 28. PMID: 27033331.
23. Di Paola M, Gatti D, Viapiana O, Cianferotti L, Cavalli L, Caffarelli C, et al. Radiofrequency echographic multispectrometry compared with dual X-ray absorptiometry for osteoporosis diagnosis on lumbar spine and femoral neck. Osteoporos Int. 2019 Feb;30(2):391-402. doi:10.1007/s00198-018-4686-3. Epub 2018 Sep 4. PMID: 30178159.
24. Cortet B, Dennison E, Diez-Perez A, Locquet M, Muratore M, Nogués X, et al. Radiofrequency Echographic Multi Spectrometry (REMS) for the diagnosis of osteoporosis in a European multicenter clinical context. Bone. 2021 Feb; 143:115786. doi:10.1016/j.bone.2020.115786. Epub 2020 Dec 2. PMID: 33278653.
25. Fuggle NR, Reginster J-Y, Al-Daghri N, Bruyere O, Burlet N, Campusano C, et al. Radiofrequency echographic multi spectrometry (REMS) in the diagnosis & management of osteoporosis: state of the art. Aging Clin Exp Res 2024;36:135. doi.org/10.1007/s40520-024-02784-w
26. Adami G, Arioli G, Bianchi G, Brandi ML, Caffarelli C, Cianferotti L, et al. Radiofrequency echographic multi spectrometry for the prediction of incident fragility fractures: A 5-year follow-up study, Bone, 2020 May;134:115297. doi: 10.1016/j.bone.2020.115297. PMID: 32092480.
27. Pisani P, Greco A, Conversano F, Renna MD, Casciaro E, Quarta L, et al. A quantitative ultrasound approach to estimate bone fragility: A first comparison with dual X-ray absorptiometry. Measurement, 2017 April;101:243-49. ISSN 0263-2241, doi: 10.1016/j.measurement.2016.07.033.
28. Pisani P, Conversano F, Muratore M, Adami G, Brandi ML, Caffarelli C, et al. Fragility Score: a REMS-based indicator for the prediction of incident fragility fractures at 5 years, Aging Clin Exp Res. 2023 Feb 8. doi:10.1007/s40520-023-02358-2. PMID: 3675295.