Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Technology Insight: noninvasive assessment of bone strength in osteoporosis

Abstract

Fractures that result from osteoporosis are an enormous and growing concern for public health systems; as the population ages, the number of fractures worldwide will double or triple in the next 50 years. The ability of a bone to resist fracture depends not only on the amount of bone present, but also on the spatial distribution of the bone mass, the cortical and trabecular microarchitecture, and the intrinsic properties of the materials that comprise the bone. Although low bone mineral density is one of the strongest risk factors for fracture, a number of clinical studies have demonstrated the limitations of using measurements of areal bone mineral density by dual-energy X-ray absorptiometry to assess fracture risk and to monitor responses to therapy. As a result, new, noninvasive imaging techniques that are capable of assessing various components of bone strength are being developed. These techniques include three-dimensional assessments of bone density, geometry and microarchitecture, as well as integrated measurements of bone strength by engineering analyses. Although they show strong potential, further development and validation of these techniques is needed to define their role in the clinical management of individuals with osteoporosis.

Key Points

  • The ability of a bone to resist fracture depends on the amount of bone, the spatial distribution of the bone mass, and the intrinsic properties of the materials that comprise the bone

  • Several novel, noninvasive techniques for assessment of bone strength in osteoporosis are currently being investigated in clinical studies

  • These techniques aim to quantify various determinants of bone strength, including three-dimensional bone geometry, volumetric bone density and microarchitecture

  • These techniques should be considered research tools at present, as they have not been rigorously tested for their ability to predict fracture risk or to monitor treatment response

  • Use of three-dimensional imaging modalities to assess the determinants of bone strength is a research area of high interest and relevance to clinicians

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Quantitative CT image of the lumbar spine.
Figure 2: Multislice, high-resolution CT images of the 12th thoracic vertebrae.
Figure 3: Assessment of trabecular architecture by HR-pQCT at the distal tibia (voxel size 82 × 82 × 82 µm).
Figure 4: Comparison of trabecular architecture assessment at the distal tibia by (A) HR-pQCT (voxel size 82 × 82 × 82 µm) and (B) high-resolution MRI (voxel size 156 × 156 × 500 µm).
Figure 5: MRI scan of the proximal femur depicting trabecular structure.
Figure 6: Finite element model of the proximal femur in a sideways fall configuration.

Similar content being viewed by others

References

  1. US Department of Health and Human Services (2004) Bone Health and Osteoporosis: A Report of the Surgeon General. Rockville, MD: Office of the Surgeon General

  2. Seeman E et al. (2007) Non-compliance: the Achilles' heel of anti-fracture efficacy. Osteoporos Int 18: 711–719

    Article  CAS  Google Scholar 

  3. [No authors listed] (1991) Proceedings of the Consensus Development Conference on Osteoporosis. October 19–20, 1990, Copenhagen, Denmark. Am J Med 91: S1–S68

  4. Wainwright SA et al. (2005) Hip fracture in women without osteoporosis. J Clin Endocrinol Metab 90: 2787–2793

    Article  CAS  Google Scholar 

  5. Schuit SC et al. (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34: 195–202

    Article  CAS  Google Scholar 

  6. Delmas P and Seeman E (2004) Changes in bone mineral density explain little of the reduction in vertebral or nonvertebral fracture risk with anti-resorptive therapy. Bone 34: 599–604

    Article  CAS  Google Scholar 

  7. Watts NB et al. (2005) Relationship between changes in BMD and nonvertebral fracture incidence associated with risedronate: reduction in risk of nonvertebral fracture is not related to change in BMD. J Bone Miner Res 20: 2097–2104

    Article  Google Scholar 

  8. Bouxsein M (2007) Biomechanics of age-related fractures. In Osteoporosis, edn 3 601–624 (Eds Marcus R et al.) San Diego, CA: Elsevier Academic Press

    Google Scholar 

  9. Laugier P (2006) Quantitative ultrasound of bone: looking ahead. Joint Bone Spine 73: 125–128

    Article  Google Scholar 

  10. McCreadie BR et al. (2006) Bone tissue compositional differences in women with and without osteoporotic fracture. Bone 39: 1190–1195

    Article  CAS  Google Scholar 

  11. Boskey AL (2006) Assessment of bone mineral and matrix using backscatter electron imaging and FTIR imaging. Curr Osteoporos Rep 4: 71–75

    Article  Google Scholar 

  12. Wu Y et al. (2003) Density of organic matrix of native mineralized bone measured by water- and fat-suppressed proton projection MRI. Magn Reson Med 50: 59–68

    Article  Google Scholar 

  13. Anumula S et al. (2006) Measurement of phosphorus content in normal and osteomalacic rabbit bone by solid-state 3D radial imaging. Magn Reson Med 56: 946–952

    Article  CAS  Google Scholar 

  14. Wu Y et al. (2007) Water- and fat-suppressed proton projection MRI (WASPI) of rat femur bone. Magn Reson Med 57: 554–567

    Article  Google Scholar 

  15. WHO Study Group (1994) Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Geneva, Switzerland: World Health Organization

  16. Marshall D et al. (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 312: 1254–1259

    Article  CAS  Google Scholar 

  17. Beck T (2003) Measuring the structural strength of bones with dual-energy X-ray absorptiometry: principles, technical limitations, and future possibilities. Osteoporos Int 14 (Suppl 5): 81–88

    Article  Google Scholar 

  18. Uusi-Rasi K et al. (2006) Structural effects of raloxifene on the proximal femur: results from the multiple outcomes of raloxifene evaluation trial. Osteoporos Int 17: 575–586

    Article  CAS  Google Scholar 

  19. Roschger P et al. (2008) Bone mineralization density distribution in health and disease. Bone 42: 456–466

    Article  CAS  Google Scholar 

  20. Beck TJ et al. (2001) Structural adaptation to changing skeletal load in the progression toward hip fragility: the study of osteoporotic fractures. J Bone Miner Res 16: 1108–1119

    Article  CAS  Google Scholar 

  21. Nelson DA et al. (2000) Cross-sectional geometry, bone strength, and bone mass in the proximal femur in black and white postmenopausal women. J Bone Miner Res 15: 1992–1997

    Article  CAS  Google Scholar 

  22. Crabtree NJ et al. (2002) Improving risk assessment: hip geometry, bone mineral distribution and bone strength in hip fracture cases and controls. The EPOS study. European Prospective Osteoporosis Study. Osteoporos Int 13: 48–54

    Article  CAS  Google Scholar 

  23. Kaptoge S et al. (2003) Effects of gender, anthropometric variables, and aging on the evolution of hip strength in men and women aged over 65. Bone 32: 561–570

    Article  Google Scholar 

  24. Takada J et al. (2007) Structural trends in the aging proximal femur in Japanese postmenopausal women. Bone 41: 97–102

    Article  Google Scholar 

  25. Greenspan SL et al. (2005) Effect of hormone replacement, alendronate, or combination therapy on hip structural geometry: a 3-year, double-blind, placebo-controlled clinical trial. J Bone Miner Res 20: 1525–1532

    Article  CAS  Google Scholar 

  26. Uusi-Rasi K et al. (2005) Effects of teriparatide [rhPTH (1–34)] treatment on structural geometry of the proximal femur in elderly osteoporotic women. Bone 36: 948–958

    Article  CAS  Google Scholar 

  27. Szulc P et al. (2006) Structural determinants of hip fracture in elderly women: re-analysis of the data from the EPIDOS study. Osteoporos Int 17: 231–236

    Article  CAS  Google Scholar 

  28. Ahlborg HG et al. (2005) Contribution of hip strength indices to hip fracture risk in elderly men and women. J Bone Miner Res 20: 1820–1827

    Article  Google Scholar 

  29. Rivadeneira F et al. (2007) Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study. J Bone Miner Res 22: 1781–1790

    Article  Google Scholar 

  30. Riggs BL et al. (2004) Population-based study of age and sex differences in bone volumetric density, size, geometry, and structure at different skeletal sites. J Bone Miner Res 19: 1945–1954

    Article  Google Scholar 

  31. Marshall LM et al. (2006) Dimensions and volumetric BMD of the proximal femur and their relation to age among older US men. J Bone Miner Res 21: 1197–1206

    Article  Google Scholar 

  32. Sigurdsson G et al. (2006) Increasing sex difference in bone strength in old age: the Age, Gene/Environment Susceptibility-Reykjavik study (AGES-REYKJAVIK). Bone 39: 644–651

    Article  Google Scholar 

  33. Marshall LM et al. (2008) Race and ethnic variation in proximal femur structure and BMD among older men. J Bone Miner Res 23: 121–130

    Article  Google Scholar 

  34. Black DM et al. (2003) The effects of parathyroid hormone and alendronate alone or in combination in postmenopausal osteoporosis. N Engl J Med 349: 1207–1215

    Article  CAS  Google Scholar 

  35. McClung MR et al. (2005) Opposite bone remodeling effects of teriparatide and alendronate in increasing bone mass. Arch Intern Med 165: 1762–1768

    Article  CAS  Google Scholar 

  36. Ito M et al. (2005) Multi-detector row CT imaging of vertebral microstructure for evaluation of fracture risk. J Bone Miner Res 20: 1828–1836

    Article  Google Scholar 

  37. Graeff C et al. (2007) Monitoring teriparatide-associated changes in vertebral microstructure by high-resolution CT in vivo: results from the EUROFORS study. J Bone Miner Res 22: 1426–1433

    Article  CAS  Google Scholar 

  38. Boutroy S et al. (2005) In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. J Clin Endocrinol Metab 90: 6508–6515

    Article  CAS  Google Scholar 

  39. Khosla S et al. (2005) Hormonal and biochemical determinants of trabecular microstructure at the ultradistal radius in women and men. J Clin Endocrinol Metab 91: 885–891

    Article  Google Scholar 

  40. Khosla S et al. (2006) Effects of sex and age on bone microstructure at the ultradistal radius: a population-based noninvasive in vivo assessment. J Bone Miner Res 21: 124–131

    Article  Google Scholar 

  41. Melton LJ III et al. (2007) Contribution of in vivo structural measurements and load/strength ratios to the determination of forearm fracture risk in postmenopausal women. J Bone Miner Res 22: 1442–1448

    Article  Google Scholar 

  42. Sornay-Rendu E et al. (2007) Alterations of cortical and trabecular architecture are associated with fractures in postmenopausal women, partially independent of decreased BMD measured by DXA: the OFELY study. J Bone Miner Res 22: 425–433

    Article  Google Scholar 

  43. Wehrli FW (2007) Structural and functional assessment of trabecular and cortical bone by micro magnetic resonance imaging. J Magn Reson Imaging 25: 390–409

    Article  Google Scholar 

  44. Kazakia GJ and Majumdar S (2006) New imaging technologies in the diagnosis of osteoporosis. Rev Endocr Metab Disord 7: 67–74

    Article  Google Scholar 

  45. Majumdar S et al. (1996) Magnetic resonance imaging of trabecular bone structure in the distal radius: relationship with X-ray tomographic microscopy and biomechanics. Osteoporos Int 6: 376–385

    Article  CAS  Google Scholar 

  46. Link TM et al. (2003) High-resolution MRI vs multislice spiral CT: which technique depicts the trabecular bone structure best? Eur Radiol 13: 663–671

    PubMed  Google Scholar 

  47. Iita N et al. (2007) Development of a compact MRI system for measuring the trabecular bone microstructure of the finger. Magn Reson Med 57: 272–277

    Article  Google Scholar 

  48. Krug R et al. (2005) Feasibility of in vivo structural analysis of high-resolution magnetic resonance images of the proximal femur. Osteoporos Int 16: 1307–1314

    Article  Google Scholar 

  49. Benito M et al. (2003) Deterioration of trabecular architecture in hypogonadal men. J Clin Endocrinol Metab 88: 1497–1502

    Article  CAS  Google Scholar 

  50. Wehrli FW et al. (2004) Quantitative high-resolution magnetic resonance imaging reveals structural implications of renal osteodystrophy on trabecular and cortical bone. J Magn Reson Imaging 20: 83–89

    Article  Google Scholar 

  51. Majumdar S et al. (1997) Correlation of trabecular bone structure with age, bone mineral density, and osteoporotic status: in vivo studies in the distal radius using high resolution magnetic resonance imaging. J Bone Miner Res 12: 111–118

    Article  CAS  Google Scholar 

  52. Link TM et al. (1998) In vivo high resolution MRI of the calcaneus: differences in trabecular structure in osteoporosis patients. J Bone Miner Res 13: 1175–1182

    Article  CAS  Google Scholar 

  53. Majumdar S et al. (1999) Trabecular bone architecture in the distal radius using magnetic resonance imaging in subjects with fractures of the proximal femur. Osteoporos Int 10: 231–239

    Article  CAS  Google Scholar 

  54. Wehrli FW et al. (2001) Digital topological analysis of in vivo magnetic resonance microimages of trabecular bone reveals structural implications of osteoporosis. J Bone Miner Res 16: 1520–1531

    Article  CAS  Google Scholar 

  55. Benito M et al. (2005) Effect of testosterone replacement on trabecular architecture in hypogonadal men. J Bone Miner Res 20: 1785–1791

    Article  CAS  Google Scholar 

  56. Chesnut CH III et al. (2005) Effects of salmon calcitonin on trabecular microarchitecture as determined by magnetic resonance imaging: results from the QUEST study. J Bone Miner Res 20: 1548–1561

    Article  CAS  Google Scholar 

  57. Morgan EF and Bouxsein ML (2005) Use of finite element analysis to assess bone strength. BoneKEy-Osteovision 2: 8–19

    Article  Google Scholar 

  58. Cody DD et al. (1999) Femoral strength is better predicted by finite element models than QCT and DXA. J Biomech 32: 1013–1020

    Article  CAS  Google Scholar 

  59. Crawford RP et al. (2003) Finite element models predict in vitro vertebral body compressive strength better than quantitative computed tomography. Bone 33: 744–750

    Article  Google Scholar 

  60. Pistoia W et al. (2002) Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images. Bone 30: 842–848

    Article  CAS  Google Scholar 

  61. Faulkner K et al. (1991) Effect of bone distribution on vertebral strength: assessment with a patient-specific nonlinear finite element analysis. Radiology 179: 669–674

    Article  CAS  Google Scholar 

  62. Melton LJ III et al. (2008) Structural determinants of vertebral fracture risk. J Bone Miner Res 22: 1885–1892

    Article  Google Scholar 

  63. Keaveny TM et al. (2007) Effects of teriparatide and alendronate on vertebral strength as assessed by finite element modeling of QCT scans in women with osteoporosis. J Bone Miner Res 22: 149–157

    Article  CAS  Google Scholar 

  64. Lian KC et al. (2005) Differences in hip quantitative computed tomography (QCT) measurements of bone mineral density and bone strength between glucocorticoid-treated and glucocorticoid-naive postmenopausal women. Osteoporos Int 16: 642–650

    Article  CAS  Google Scholar 

  65. Newitt DC et al. (2002) In vivo assessment of architecture and micro-finite element analysis derived indices of mechanical properties of trabecular bone in the radius. Osteoporos Int 13: 6–17

    Article  CAS  Google Scholar 

  66. van Rietbergen B et al. (2002) High-resolution MRI and micro-FE for the evaluation of changes in bone mechanical properties during longitudinal clinical trials: application to calcaneal bone in postmenopausal women after one year of idoxifene treatment. Clin Biomech (Bristol, Avon) 17: 81–88

    Article  CAS  Google Scholar 

  67. Boutroy S et al. (2008) Finite element analyses based on in vivo HR-pQCT images of the distal radius is associated with wrist fracture in postmenopausal women. J Bone Miner Res 23: 392–399

    Article  Google Scholar 

Download references

Acknowledgements

The author thanks Dr RJ Fajardo for critical review and insights, and Drs S Majumdar, C Glüer, T Lang and D Kopperdahl for generously providing the images.

Author information

Authors and Affiliations

Authors

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bouxsein, M. Technology Insight: noninvasive assessment of bone strength in osteoporosis. Nat Rev Rheumatol 4, 310–318 (2008). https://doi.org/10.1038/ncprheum0798

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ncprheum0798

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing