Skip to main content
Log in

Short-term precision assessment of trabecular bone score and bone mineral density using dual-energy X-ray absorptiometry with different scan modes: an in vivo study

  • Musculoskeletal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

We estimated the in vivo reproducibility of trabecular bone score (TBS) from dual-energy X-ray absorptiometry (DXA) using different imaging modes to be compared to that of bone mineral density (BMD).

Methods

We enrolled 30 patients for each imaging mode: fast-array, array, high definition. Each patient underwent two DXA examinations with in-between repositioning. BMD and TBS were obtained according to the International Society for Clinical Densitometry guidelines. The coefficient of variation (CoV) was calculated as the ratio between root mean square standard deviation and mean, percent least significant change (LSC) as 2.77 × CoV, reproducibility as the complement to 100 % LSC.

Results

Fast-array imaging mode resulted in 0.8 % CoV and 2.1 % LSC for BMD, 1.9 % and 5.3 % for TBS, respectively; array imaging mode resulted in 0.7 % and 2.0 % for BMD, 1.9 % and 5.2 %, for TBS; high-definition imaging mode resulted in 0.7 % and 2.0 %, for BMD; 2.0 % and 5.4 % for TBS, respectively. Reproducibility of TBS (95 %) was significantly lower than that of BMD (98 %) (p < 0.012). Difference in reproducibility among the imaging modes was not significant for either BMD or TBS (p = 0.942).

Conclusion

While TBS reproducibility was significantly lower than that of BMD, differences among imaging modes were not significant for both TBS and BMD.

Key Points

TBS is an emerging tool for assessing BMD.

TBS reproducibility is lower than that of BMD.

Differences between imaging modes are not significant for either TBS or BMD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. (2001) NIH Consensus Development Panel on osteoporosis prevention, diagnosis and therapy. JAMA 285:785–795

  2. Bouxsein ML, Seeman E (2009) Quantifying the material and structural determinants of bone strength. Best Pract Res Clin Rheumatol 23:741–753

    Article  PubMed  Google Scholar 

  3. Kanis JA, Borgstrom F, De Laet C et al (2005) Assessment of fracture risk. Osteoporos Int 16:581–589

    Article  PubMed  Google Scholar 

  4. Brandi ML (2009) Microarchitecture, the key to bone quality. Rheumatology 48:iv3–iv8

    Article  PubMed  Google Scholar 

  5. Wainwright SA, Marshall LM, Ensrud KE et al (2005) Hip fracture in women without osteoporosis. J Clin Endocrinol Metab 90:2787e2793

    Article  Google Scholar 

  6. Pothuaud L, Carceller P, Hans D (2008) Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone 42:775–787

    Article  PubMed  Google Scholar 

  7. Bousson V, Bergot C, Sutter B et al (2012) Trabecular bone score (TBS): available knowledge, clinical relevance, and future prospects. Osteoporos Int 23:1489–1501

    Article  CAS  PubMed  Google Scholar 

  8. Schousboe JT, Shepherd JA, Bilezikian JP et al (2013) Executive summary of the 2013 International Society for Clinical Densitometry Position Development Conference on bone densitometry. J Clin Densitom 16:455–466

    Article  PubMed  Google Scholar 

  9. Hans D, Goertzen AL, Krieg MA et al (2011) Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study. J Bone Miner Res 26:2762–2769

    Article  PubMed  Google Scholar 

  10. Dufour R, Winzenrieth R, Heraud A (2013) Generation and validation of a normative, age-specific reference curve for lumbar spine trabecular bone score (TBS) in French women. Osteoporos Int 24:2837–2846

    Article  CAS  PubMed  Google Scholar 

  11. Briot K, Paternotte S, Kolta S et al (2013) Added value of trabecular bone score to bone mineral density for prediction of osteoporotic fractures in postmenopausal women: the OPUS study. Bone 57:232–236

    Article  PubMed  Google Scholar 

  12. Popp AW, Guler S, Lamy O et al (2013) Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: a three-year study. J Bone Miner Res 28:449–454

    Article  CAS  PubMed  Google Scholar 

  13. Hopkins SJ, Welsman JR, Knapp KM (2014) Short-term precision error in dual energy x-ray absorptiometry, bone mineral density and trabecular bone score measurements; and effects of obesity on precision error. J Biomed Graph Comput 4:8–14

    Google Scholar 

  14. Nielson CM, Srikanth P, Orwoll ES (2012) Obesity and fracture in men and women: an epidemiologic perspective. J Bone Miner Res 27:1–10

    Article  PubMed  Google Scholar 

  15. Bandirali M, Sconfienza LM, Aliprandi A et al (2014) In vivo differences among scan modes in bone mineral density measurement at dual-energy X-ray absorptiometry. Radiol Med 119:257–260

    Article  PubMed  Google Scholar 

  16. Link TM (2012) Osteoporosis imaging: state of the art and advanced imaging. Radiology 263:3–17

    Article  PubMed Central  PubMed  Google Scholar 

  17. Bolotin HH (2007) DXA in vivo BMD methodology: an erroneous and misleading research and clinical gauge of bone mineral status, bone fragility, and bone remodelling. Bone 41:138–154

    Article  CAS  PubMed  Google Scholar 

  18. Kanis JA (2002) Diagnosis of osteoporosis and assessment of fracture risk. Lancet 359:1929–1936

    Article  PubMed  Google Scholar 

  19. Kanis JA, Hans D, Cooper C et al (2011) Task force of the FRAX initiative. Interpretation and use of FRAX in clinical practice. Osteoporos Int 22:2395–2411

    Article  CAS  PubMed  Google Scholar 

  20. Silva BC, Leslie WD, Resch H et al (2014) Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res 29:518–530

    Article  PubMed  Google Scholar 

  21. Bandirali M, Lanza E, Messina C et al (2013) Dose absorption in lumbar and femoral dual energy X-ray absorptiometry examinations using three different scan modalities: an anthropomorphic phantom study. J Clin Densitom 16:279–282

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The scientific guarantor of this publication is Prof. Francesco Sardanelli. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding. One of the authors has significant statistical expertise. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, experimental, performed at one institution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michele Bandirali.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bandirali, M., Poloni, A., Sconfienza, L.M. et al. Short-term precision assessment of trabecular bone score and bone mineral density using dual-energy X-ray absorptiometry with different scan modes: an in vivo study. Eur Radiol 25, 2194–2198 (2015). https://doi.org/10.1007/s00330-015-3606-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-015-3606-6

Keywords

Navigation