Skip to main content
Log in

Trabecular bone mineral density as measured by thoracic vertebrae predicts incident hip and vertebral fractures: the multi-ethnic study of atherosclerosis

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

Abstract

Summary

We evaluated the relationship of bone mineral density (BMD) by computed tomography (CT), to predict fractures in a multi-ethnic population. We demonstrated that vertebral and hip fractures were more likely in those patients with low BMD. This is one of the first studies to demonstrate that CT BMD derived from thoracic vertebrae can predict future hip and vertebral fractures.

Purpose/Introduction

Osteoporosis affects an enormous number of patients, of all races and both sexes, and its prevalence increases as the population ages. Few studies have evaluated the association between the vertebral trabecular bone mineral density(vBMD) and osteoporosis-related hip fracture in a multiethnic population, and no studies have demonstrated the predictive value of vBMD for fractures.

Method

We sought to determine the predictive value of QCT-based trabecular vBMD of thoracic vertebrae derived from coronary artery calcium scan for hip fractures in the Multi-Ethnic Study of Atherosclerosis(MESA), a nationwide multicenter cohort included 6814 people from six medical centers across the USA and assess if low bone density by QCT can predict future fractures. Measures were done using trabecular bone measures, adjusted for individual patients, from three consecutive thoracic vertebrae (BDI Inc, Manhattan Beach CA, USA) from non-contrast cardiac CT scans.

Results

Six thousand eight hundred fourteen MESA baseline participants were included with a mean age of 62.2 ± 10.2 years, and 52.8% were women. The mean thoracic BMD is 162.6 ± 46.8 mg/cm3 (95% CI 161.5, 163.7), and 27.6% of participants (n = 1883) had osteoporosis (T-score 2.5 or lower). Over a median follow-up of 17.4 years, Caucasians have a higher rate of vertebral fractures (6.9%), followed by Blacks (4.4%), Hispanics (3.7%), and Chinese (3.0%). Hip fracture patients had a lower baseline vBMD as measured by QCT than the non-hip fracture group by 13.6 mg/cm3 [P < 0.001]. The same pattern was seen in the vertebral fracture population, where the mean BMD was substantially lower 18.3 mg/cm3 [P < 0.001] than in the non-vertebral fracture population. Notably, the above substantial relationship was unaffected by age, gender, race, BMI, hypertension, current smoking, medication use, or activity. Patients with low trabecular BMD of thoracic vertebrae showed a 1.57-fold greater risk of first hip fracture (HR 1.57, 95% CI 1.38–1.95) and a nearly threefold increased risk of first vertebral fracture (HR 2.93, 95% CI 1.87–4.59) compared to normal BMD patients.

Conclusion

There is significant correlation between thoracic trabecular BMD and the incidence of future hip and vertebral fracture. This study demonstrates that thoracic vertebrae BMD, as measured on cardiac CT (QCT), can predict both hip and vertebral fractures without additional radiation, scanning, or patient burden. Osteopenia and osteoporosis are markedly underdiagnosed. Finding occult disease affords the opportunity to treat the millions of people undergoing CT scans every year for other indications.

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

The data that support the findings of this study are available from the corresponding author, [MJB], upon reasonable request.

References

  1. Sozen T, Ozisik L, Basaran NC (2017) An overview and management of osteoporosis. Eur J Rheumatol 4(1):46–56

    Article  PubMed  Google Scholar 

  2. van Oostwaard M (2018) Osteoporosis and the nature of fragility fracture: an overview. In: Hertz K, Santy-Tomlinson J (eds) Fragility fracture nursing: holistic care and management of the orthogeriatric patient [Internet]. Cham (CH): Springer, Chapter 1

  3. QuickStats (2021) Percentage* of adults aged >/=50 years with osteoporosis, (dagger) by race and hispanic origin ( section sign) - United States, 2017–2018. MMWR Morb Mortal Wkly Rep. 70(19):731. https://doi.org/10.15585/mmwr.mm7019a5

  4. Terzini M, Aldieri A, Rinaudo L, Osella G, Audenino AL, Bignardi C (2019) Improving the hip fracture risk prediction through 2D finite element models from DXA images: validation against 3D models. Front Bioeng Biotechnol 7:220

    Article  PubMed  PubMed Central  Google Scholar 

  5. Hong N, Park H, Kim CO, Kim HC, Choi JY, Kim H et al (2021) Bone radiomics score derived from DXA hip images enhances hip fracture prediction in older women. J Bone Miner Res 36(9):1708–1716

    Article  PubMed  Google Scholar 

  6. Jazinizadeh F, Adachi JD, Quenneville CE (2020) Advanced 2D image processing technique to predict hip fracture risk in an older population based on single DXA scans. Osteoporos Int 31(10):1925–1933

    Article  CAS  PubMed  Google Scholar 

  7. Hadidi F, Khalil OA, Alhadidy A, Alqawaba R, Hammad Y, Samarah OQ et al (2021) Correlation between plain X-ray measurements and DXA scans, and its possible use as a screening tool for performing DXA scans. Int J Clin Pract 75(11):e14784

    Article  PubMed  Google Scholar 

  8. Gruenewald LD, Koch V, Martin SS, Yel I, Eichler K, Gruber-Rouh T et al (2022) Diagnostic accuracy of quantitative dual-energy CT-based volumetric bone mineral density assessment for the prediction of osteoporosis-associated fractures. Eur Radiol 32(5):3076–3084

    Article  PubMed  Google Scholar 

  9. Zhu Y, Triphuridet N, Yip R, Becker BJ, Wang Y, Yankelevitz DF et al (2021) Opportunistic CT screening of osteoporosis on thoracic and lumbar spine: a meta-analysis. Clin Imaging 80:382–390

    Article  PubMed  Google Scholar 

  10. Cheng X, Zhao K, Zha X, Du X, Li Y, Chen S et al (2021) Opportunistic screening using low-dose CT and the prevalence of osteoporosis in China: a nationwide, multicenter study. J Bone Miner Res 36(3):427–435

    Article  CAS  PubMed  Google Scholar 

  11. Keppler AM, Kraus M, Blaschke M, Thomasser N, Kammerlander C, Bocker W, et al. (2021) Reduced awareness for osteoporosis in distal radius fracture patients compared to patients with proximal femur fractures. J Clin Med 10(4). https://doi.org/10.3390/jcm10040848

  12. Capaldi N, Kao KT, MacDonald R, Grainger KC, Joseph S, Shepherd S et al (2020) Feasibility of dual energy X-ray absorptiometry based images for measurement of height, sitting height, and leg length in children. J Clin Densitom 23(3):472–481

    Article  CAS  PubMed  Google Scholar 

  13. Shevroja E, Aubry-Rozier B, Hans G, Gonzalez- Rodriguez E, Stoll D, Lamy O et al (2019) Clinical performance of the updated trabecular bone score (TBS) algorithm, which accounts for the soft tissue thickness: the OsteoLaus study. J Bone Miner Res 34(12):2229–2237

    Article  PubMed  Google Scholar 

  14. Boutin RD, Hernandez AM, Lenchik L, Seibert JA, Gress DA, Boone JM (2021) CT phantom evaluation of 67,392 American College of Radiology Accreditation Examinations: implications for opportunistic screening of osteoporosis using CT. AJR Am J Roentgenol 216(2):447–452

    Article  PubMed  Google Scholar 

  15. Aggarwal V, Maslen C, Abel RL, Bhattacharya P, Bromiley PA, Clark EM et al (2021) Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans: a review of approved technology systems and pathways to implementation. Ther Adv Musculoskelet Dis 13:1759720X211024029

    Article  PubMed  PubMed Central  Google Scholar 

  16. Li D, Mao SS, Khazai B, Hyder JA, Allison M, McClelland R et al (2013) Noncontrast cardiac computed tomography image-based vertebral bone mineral density: the Multi-Ethnic Study of Atherosclerosis (MESA). Acad Radiol 20(5):621–627

    Article  PubMed  PubMed Central  Google Scholar 

  17. Budoff MJ, Malpeso JM, Zeb I, Gao YL, Li D, Choi TY et al (2013) Measurement of phantomless thoracic bone mineral density on coronary artery calcium CT scans acquired with various CT scanner models. Radiology 267(3):830–836

    Article  PubMed  Google Scholar 

  18. Budoff MJ, Khairallah W, Li D, Gao YL, Ismaeel H, Flores F, Child J, Carson S, Mao SS (2012Feb) Trabecular bone mineral density measurement using thoracic and lumbar quantitative computed tomography. Acad Radiol 19(2):179–183

    Article  PubMed  Google Scholar 

  19. Genant HK, Wu CY, van Kuijk C et al (1993) Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res 8(9):1137–1148

    Article  CAS  PubMed  Google Scholar 

  20. Lenchik L, Rogers LF, Delmas PD et al (2004) Diagnosis of osteoporotic vertebral fractures: importance of recognition and description by radiologists. AJR Am J Roentgenol 183(4):949–958

    Article  PubMed  Google Scholar 

  21. Wright NC, Looker AC, Saag KG, Curtis JR, Delzell ES, Randall S et al (2014) The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine. J Bone Miner Res 29(11):2520–2526

    Article  PubMed  Google Scholar 

  22. Abrahamsen B, van Staa T, Ariely R, Olson M, Cooper C (2009) Excess mortality following hip fracture: a systematic epidemiological review. Osteoporos Int 20(10):1633–1650

    Article  CAS  PubMed  Google Scholar 

  23. Cosman F, de Beur SJ, LeBoff MS, Lewiecki EM, Tanner B, Randall S et al (2014) Clinician’s guide to prevention and treatment of osteoporosis. Osteoporos Int 25(10):2359–2381

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Budoff MJ, Achenbach S, Berman DS, Fayad ZA, Poon M, Taylor AJ et al (2008) Task force 13: training in advanced cardiovascular imaging (computed tomography) endorsed by the American Society of Nuclear Cardiology, Society of Atherosclerosis Imaging and Prevention, Society for Cardiovascular Angiography and Interventions, and Society of Cardiovascular Computed Tomography. J Am Coll Cardiol 51(3):409–414

    Article  PubMed  Google Scholar 

  25. Mao SS, Li D, Luo Y, Syed YS, Budoff MJ (2016) Application of quantitative computed tomography for assessment of trabecular bone mineral density, microarchitecture and mechanical property. Clin Imaging 40(2):330–338

    Article  PubMed  Google Scholar 

  26. Mao S, Lu B, Oudiz RJ, Bakhsheshi H, Liu SC, Budoff MJ (2000) Coronary artery motion in electron beam tomography. J Comput Assist Tomogr 24(2):253–258

    Article  CAS  PubMed  Google Scholar 

  27. Budoff MJ, Cohen MC, Garcia MJ, Hodgson JM, Hundley WG, Lima JA et al (2005) ACCF/AHA clinical competence statement on cardiac imaging with computed tomography and magnetic resonance: a report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training. J Am Coll Cardiol 46(2):383–402

    Article  PubMed  Google Scholar 

  28. Bansal N, Katz R, de Boer IH, Kestenbaum B, Siscovick DS, Hoofnagle AN et al (2013) Influence of estrogen therapy on calcium, phosphorus, and other regulatory hormones in postmenopausal women: the MESA study. J Clin Endocrinol Metab 98(12):4890–4898

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Ahmadi N, Mao SS, Hajsadeghi F, Arnold B, Kiramijyan S, Gao Y et al (2018) The relation of low levels of bone mineral density with coronary artery calcium and mortality. Osteoporos Int 29(7):1609–1616

    Article  CAS  PubMed  Google Scholar 

  30. Budoff MJ, Hamirani YS, Gao YL, Ismaeel H, Flores FR, Child J et al (2010) Measurement of thoracic bone mineral density with quantitative CT. Radiology 257(2):434–440

    Article  PubMed  Google Scholar 

  31. Mao SS, Li D, Syed YS, Gao Y, Luo Y, Flores F et al (2017) Thoracic quantitative computed tomography (QCT) can sensitively monitor bone mineral metabolism: comparison of thoracic QCT vs lumbar QCT and dual-energy X-ray absorptiometry in detection of age-relative change in bone mineral density. Acad Radiol 24(12):1582–1587

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank the other investigators, the staff, and the participants of the MESA study for their valuable contributions. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org.

Funding

This work was funded by NIH Grant 2R42AR070713. This research was supported by R01HL146666, and all bone density measures were supported by 42AR070713. MESA was supported by contracts 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, and N01-HC-95169 from the National Heart, Lung, and Blood Institute, and by grants UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420 from the National Center for Advancing Translational Sciences (NCATS).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthew J. Budoff.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, D., Mao, S.S. & Budoff, M.J. Trabecular bone mineral density as measured by thoracic vertebrae predicts incident hip and vertebral fractures: the multi-ethnic study of atherosclerosis. Osteoporos Int (2024). https://doi.org/10.1007/s00198-024-07040-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00198-024-07040-5

Keywords

Navigation