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Prediction of incident vertebral fracture using CT-based finite element analysis

  • B. T. Allaire
  • D. Lu
  • F. Johannesdottir
  • D. Kopperdahl
  • T. M. Keaveny
  • M. Jarraya
  • A. Guermazi
  • M. A. Bredella
  • E. J. Samelson
  • D. P. Kiel
  • D. E. Anderson
  • S. Demissie
  • M. L. Bouxsein
Original Article
  • 139 Downloads

Abstract

Summary

Prior studies show vertebral strength from computed tomography-based finite element analysis may be associated with vertebral fracture risk. We found vertebral strength had a strong association with new vertebral fractures, suggesting that vertebral strength measures identify those at risk for vertebral fracture and may be a useful clinical tool.

Introduction

We aimed to determine the association between vertebral strength by quantitative computed tomography (CT)-based finite element analysis (FEA) and incident vertebral fracture (VF). In addition, we examined sensitivity and specificity of previously proposed diagnostic thresholds for fragile bone strength and low BMD in predicting VF.

Methods

In a case-control study, 26 incident VF cases (13 men, 13 women) and 62 age- and sex-matched controls aged 50 to 85 years were selected from the Framingham multi-detector computed tomography cohort. Vertebral compressive strength, integral vBMD, trabecular vBMD, CT-based BMC, and CT-based aBMD were measured from CT scans of the lumbar spine.

Results

Lower vertebral strength at baseline was associated with an increased risk of new or worsening VF after adjusting for age, BMI, and prevalent VF status (odds ratio (OR) = 5.2 per 1 SD decrease, 95% CI 1.3–19.8). Area under receiver operating characteristic (ROC) curve comparisons revealed that vertebral strength better predicted incident VF than CT-based aBMD (AUC = 0.804 vs. 0.715, p = 0.05) but was not better than integral vBMD (AUC = 0.815) or CT-based BMC (AUC = 0.794). Additionally, proposed fragile bone strength thresholds trended toward better sensitivity for identifying VF than that of aBMD-classified osteoporosis (0.46 vs. 0.23, p = 0.09).

Conclusion

This study shows an association between vertebral strength measures and incident vertebral fracture in men and women. Though limited by a small sample size, our findings also suggest that bone strength estimates by CT-based FEA provide equivalent or better ability to predict incident vertebral fracture compared to CT-based aBMD. Our study confirms that CT-based estimates of vertebral strength from FEA are useful for identifying patients who are at high risk for vertebral fracture.

Keywords

Bone strength Finite element analysis Fracture prediction Incident vertebral fracture 

Notes

Acknowledgements

The contents are solely the responsibility of the authors and do not necessarily represent the views of the NIH. We acknowledge Dr. Harry K. Genant’s contribution in reviewing vertebral fracture assessment.

Funding information

This work was supported by grants from the National Institutes of Health (R01 AR053986, R00 AG042458, R01 AG041658, R01 AR041398), and by the National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study (NIH/NHLBI Contract N01-HC-25195).

Compliance with ethical standards

Conflicts of interest

Brett T. Allaire, Darlene Lu, Fjola Johannesdottir, Mohamed Jarraya, Ali Guermazi, Miriam A. Bredella, Elizabeth J. Samelson, Douglas P. Kiel, Dennis E.Anderson, Serkalem Demissie, and Mary L. Bouxsein declare that they have no conflicts of interest. Dr. Keaveny has been a consultant for Amgen, AgNovos Healthcare, and O.N. Diagnostics and has equity in O.N. Diagnostics. Drs. Keaveny and Kopperdahl have financial interests in O.N. Diagnostics and both they and the company may benefit from the results of this work.

Supplementary material

198_2018_4716_MOESM1_ESM.docx (16 kb)
ESM 1 (DOCX 15 kb)

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Copyright information

© International Osteoporosis Foundation and National Osteoporosis Foundation 2018

Authors and Affiliations

  • B. T. Allaire
    • 1
  • D. Lu
    • 2
  • F. Johannesdottir
    • 1
    • 3
  • D. Kopperdahl
    • 4
  • T. M. Keaveny
    • 5
    • 6
  • M. Jarraya
    • 7
    • 8
  • A. Guermazi
    • 8
  • M. A. Bredella
    • 9
  • E. J. Samelson
    • 10
    • 11
  • D. P. Kiel
    • 10
    • 11
  • D. E. Anderson
    • 1
    • 3
  • S. Demissie
    • 2
  • M. L. Bouxsein
    • 1
    • 3
  1. 1.Center for Advanced Orthopaedic StudiesBeth Israel Deaconess Medical CenterBostonUSA
  2. 2.Boston UniversityBostonUSA
  3. 3.Department of Orthopedic SurgeryHarvard Medical SchoolBostonUSA
  4. 4.O.N. Diagnostics LLCBerkeleyUSA
  5. 5.Department of Mechanical EngineeringUniversity of CaliforniaBerkeleyUSA
  6. 6.Department of BioengineeringUniversity of CaliforniaBerkeleyUSA
  7. 7.Department of RadiologyMercy Catholic Medical CenterDarbyUSA
  8. 8.Boston University School of MedicineBostonUSA
  9. 9.Department of RadiologyMassachusetts General HospitalBostonUSA
  10. 10.Institute for Aging ResearchHebrew SeniorLifeBostonUSA
  11. 11.Department of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonUSA

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