Skip to main content
Log in

Dual-energy x-ray absorptiometry scanner mismatch in follow-up bone mineral density testing

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract

Summary

Scanner mismatch occurs frequently with follow-up dual-energy x-ray absorptiometry (DXA) scans. Nearly one-in-five follow-up DXA scans were conducted on non-cross-calibrated scanners (scanner mismatch) and more than a quarter of patients who had a follow-up DXA scan had experienced scanner mismatch.

Introduction

Detecting significant changes in bone mineral density (BMD) with dual-energy x-ray absorptiometry (DXA) scanners relies on the least significant change (LSC). Results from two different DXA scanners can only be compared, albeit with decreased sensitivity for change, if the LSC between the two scanners has been directly determined through cross-calibration. Performing follow-up DXA scans on non-cross-calibrated scanners (scanner mismatch) has safety and economic implications. This study aims to determine the proportion of scanner mismatch occurring at a population level.

Methods

All patients who completed at least two DXA scans between 1 April 2009 and 31 December 2018 in the province of Alberta, Canada, were identified using population-based health services databases. Scanner mismatch was defined as a follow-up DXA scan completed on a DXA scanner that differed from and was not cross-calibrated to the previous DXA scanner. Multivariate logistic regression models were used to assess predictive factors that may contribute to scanner mismatch.

Results

A total of 264,866 patients with 470,641 follow-up DXA scans were identified. Scanner mismatch occurred in 18.9% of follow-up DXA scans; 28.7% of patients experienced at least one scanner mismatch. Longer duration between scans (OR 1.25, 95% CI 1.24–1.26) and major osteoporotic fracture history before index scan (OR 1.06, 95% CI 1.03–1.08) increased risk of scanner mismatch. Osteoporosis medication use before index scan (OR 0.89; 95% CI 0.88–0.91), recency of follow-up scans (OR 0.98, 95% CI 0.73–0.98), female sex (OR 0.97, 95% CI 0.94–1.00), and age at last scan (OR 0.99, 95% CI 0.99–1.00) were associated with lower risk of scanner mismatch.

Conclusion

Scanner mismatch is a common problem, occurring in one-in-five follow-up DXA scans and affecting more than a quarter of patients. Interventions to reduce this large proportion of scanner mismatch are necessary.

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

Data Availability

Data may be available on request.

References

  1. El Maghraoui A, Achemlal L, Bezza A (2006) Monitoring of dual-energy x-ray absorptiometry measurement in clinical practice. J Clin Densitom 9(3):281–286. https://doi.org/10.1016/j.jocd.2006.03.014

    Article  PubMed  Google Scholar 

  2. Messina C, Bandirali M, Sconfienza LM et al (2015) Prevalence and type of errors in dual-energy x-ray absorptiometry. Eur Radiol 25:1504–1511. https://doi.org/10.1007/s00330-014-3509-y

    Article  PubMed  Google Scholar 

  3. Shepherd JA, Morgan SL, Lu Y (2008) Comparing BMD results between two similar DXA systems using the generalized least significant change. J Clin Densitom 11(2):237–242. https://doi.org/10.1016/j.jocd.2008.02.001

    Article  PubMed  Google Scholar 

  4. Dowthwaite JN, Dunsmore KA, Wang D et al (2018) Cross-calibrated dual-energy x-ray absorptiometry scanners demonstrate systematic bias in pediatric and young adult females. J Clin Densitom 21(2):281–294. https://doi.org/10.1016/j.jocd.2017.01.007

    Article  PubMed  Google Scholar 

  5. Jankowski LG, Warner S, Gaither K et al (2019) Cross-calibration, least significant change and quality assurance in multiple dual-energy x-ray absorptiometry scanner environments: 2019 ISCD Official Position. J Clin Densitom 22(4):472–483. https://doi.org/10.1016/j.jocd.2019.09.001

    Article  PubMed  Google Scholar 

  6. Alberta Medical Association (2020) Fee navigator: health service code X128. Alberta Medical Association. https://www.albertadoctors.org/fee-navigator/hsc/X128. Accessed 2020 Sep 9

  7. Statistics Canada (2020) Table 17–10–0005–01 population estimates on July 1st, by age and sex. Statistics Canada. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710000501. Accessed 2020 Sep 23

  8. Public Health Agency of Canada (2010) What is the impact of osteoporosis in Canada and what are Canadians doing to maintain healthy bones? Public Health Agency of Canada. https://www.canada.ca/content/dam/phac-aspc/migration/phac-aspc/cd-mc/osteoporosis-osteoporose/pdf/osteoporosis.pdf. Accessed 2020 Sep 27

  9. Alberta Government (2015) Population distribution, Alberta economic regions. Alberta Government. https://open.alberta.ca/opendata/population-distribution-alberta-economic-regions. Accessed 2020 Sep 27

  10. Government of Canada (2019) Canada's health care system. Government of Canada. https://www.canada.ca/en/health-canada/services/health-care-system/reports-publications/health-care-system/canada.html. Accessed 2021 Mar 20

  11. Siminoski K, O’Keeffe M, Levesque J et al (2011) Canadian Association of Radiologists technical standards for bone mineral densitometry reporting. Can Assoc Radiol J 62:166–175

    Article  Google Scholar 

  12. Siminoski K, O’Keeffe M, Brown JP et al (2013) Canadian Association of Radiologists technical standards for bone mineral densitometry reporting. Can Assoc Radiol J 64(4):281–294

    Article  Google Scholar 

  13. Leslie W, Schousboe J, Morin S et al (2020) Fracture risk following traumatic versus non-traumatic fracture: a registry-based cohort study. Osteoporosis Int 31(6):1059–1067. https://doi.org/10.1007/s00198-019-05274-2

    Article  CAS  Google Scholar 

  14. Brodersen J, Siersma VD (2013) Long-term psychosocial consequences of false-positive screening mammography. Ann Fam Med 11(2):106–115. https://doi.org/10.1370/afm.1466

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kwon C, Farrell PM (2000) The magnitude and challenge of false-positive newborn screening test results. Arch Pediatr Adolesc Med 154(7):714–718. https://doi.org/10.1001/archpedi.154.7.714

    Article  CAS  PubMed  Google Scholar 

  16. Tluczek A, Orland KM, Cavanagh L (2011) Psychosocial consequences of false-positive newborn screens for cystic fibrosis. Qual Health Res 21(2):174–186. https://doi.org/10.1177/1049732310382919

    Article  PubMed  Google Scholar 

  17. Ioannidis G, Papaioannou A, Hopman WM et al (2009) Relation between fractures and mortality: results from the Canadian Multicentre Osteoporosis Study. Can Med Assoc J 181(5):265–271. https://doi.org/10.1503/cmaj.081720

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Study concept and design: CY, KA. Data acquisition: KA, ML. Statistical analysis: ML. Main drafting and editing of paper: KL, KS, CY. All authors critically reviewed, revised, and approved the final manuscript for publication.

Corresponding author

Correspondence to C. Ye.

Ethics declarations

Ethics approval

Ethics approval was granted by the ethics board at the University of Alberta (Pro00088759). Waiver of individual consent was also granted as we analyzed de-identified data from numerous patients.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflicts of interest

None.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, K., Al Jumaily, K., Lin, M. et al. Dual-energy x-ray absorptiometry scanner mismatch in follow-up bone mineral density testing. Osteoporos Int 33, 1981–1988 (2022). https://doi.org/10.1007/s00198-022-06438-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-022-06438-3

Keywords

Navigation