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Cortical and Trabecular Bone Fracture Characterisation in the Vertebral Body Using Acoustic Emission

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Abstract

The ability to rapidly detect localised fractures of cortical and/or trabecular bone sustained by the vertebral body would enhance the analysis of vertebral fracture initiation and propagation during dynamic loading. In this study, high rate axial compression tests were performed on twenty sets of three-vertebra lumbar spine specimens. Acoustic Emission (AE) sensor measurements of sound wave pressure were used to classify isolated trabecular fractures and severe compressive fractures of vertebral body cortical and trabecular bone. Fracture detection using standard AE parameters was compared to that of traditional mechanical parameters obtained from load cell and displacement readings. Results indicated that the AE parameters achieved slightly enhanced classification of isolated trabecular fractures, whereas the mechanical parameters better identified combined fractures of cortical and trabecular bone. These findings demonstrate that AE may be used to promptly and accurately identify localised fractures of trabecular bone, whereas more extensive fractures of the vertebral body are best identified by load cell readings due to the considerable loss in compressive resistance. The discrimination thresholds corresponding to the AE parameters were based on calibrated measurements of AE wave pressure and may ultimately be used to examine the onset and progression of vertebral fracture in other loading scenarios.

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References

  1. Agcaoglu, S., and O. Akkus. Acoustic emission based monitoring of the microdamage evolution during fatigue of human cortical bone. J. Biomech. Eng. 135:081005, 2013.

    Google Scholar 

  2. Aggelis, D. G., M. Strantza, O. Louis, F. Boulpaep, D. Polyzos, and D. van Hemelrijck. Fracture of human femur tissue monitored by acoustic emission sensors. Sensors 15:5803–5819, 2015.

    PubMed  Google Scholar 

  3. Arun, M. W. J., N. Yoganandan, B. D. Stemper, and F. A. Pintar. A methodology to condition distorted acoustic emission signals to identify fracture timing from human cadaver spine impact tests. J. Mech. Behav. Biomed. Mater. 40:156–160, 2014.

    PubMed  Google Scholar 

  4. Burge, R., B. Dawson-Hughes, D. H. Solomon, J. B. Wong, A. King, and A. Tosteson. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J. Bone Miner. Res. 22:465–475, 2007.

    PubMed  Google Scholar 

  5. Carretta, R., S. Lorenzetti, and R. Müller. Towards patient-specific material modeling of trabecular bone post-yield behavior. Int. J. Numer. Methods Biomed. 29:250–272, 2013.

    Google Scholar 

  6. Christen, P., S. Boutroy, R. Ellouz, R. Chapurlat, and B. Van Rietbergen. Least-detectable and age-related local in vivo bone remodelling assessed by time-lapse HR-pQCT. PLoS ONE 13:1–11, 2018.

    Google Scholar 

  7. Christiansen, B. A., and M. L. Bouxsein. Biomechanics of vertebral fractures and the vertebral fracture cascade. Curr. Osteoporos. Rep. 8:198–204, 2010.

    PubMed  Google Scholar 

  8. Cormier, J., S. Manoogian, J. Bisplinghoff, C. McNally, and S. Duma. The use of acoustic emission in facial fracture detection. Biomed. Sci. Instrum. 44:147–152, 2008.

    PubMed  Google Scholar 

  9. Crawford, R. P., C. E. Cann, and T. M. Keaveny. Finite element models predict in vitro vertebral body compressive strength better than quantitative computed tomography. Bone 33:744–750, 2003.

    PubMed  Google Scholar 

  10. Curry, W. H., F. A. Pintar, N. B. Doan, H. S. Nguyen, G. Eckardt, J. L. Baisden, D. J. Maiman, G. R. Paskoff, B. S. Shender, and B. D. Stemper. Lumbar spine endplate fractures: biomechanical evaluation and clinical considerations through experimental induction of injury. J. Orthop. Res. 34:1084–1091, 2016.

    PubMed  Google Scholar 

  11. Goodwin, B. D., F. A. Pintar, and N. Yoganandan. Acoustic emission signatures during failure of vertebra and long bone. Ann. Biomed. Eng. 45:1520–1533, 2017.

    PubMed  Google Scholar 

  12. Griffin, J. Traceability of Acoustic Emission measurements for a proposed calibration method:classification of characteristics and identification using signal analysis. Mech. Syst. Signal Process. 50–51:757–783, 2015.

    Google Scholar 

  13. Hagen, E. M., S. A. Lie, T. Rekand, N. E. Gilhus, and M. Gronning. Mortality after traumatic spinal cord injury: 50 years of follow-up. J. Neurol. Neurosurg. Psychiatry 81:368–373, 2010.

    PubMed  Google Scholar 

  14. Hansson, T., B. Roos, and A. L. F. Nachemson. The bone mineral content and ultimate compressive strength of lumbar vertebrae. Spine 5:46–55, 1980.

    CAS  PubMed  Google Scholar 

  15. Hasegawa, K., M. Abe, T. Washio, and T. Hara. An experimental study on the interface strength between titanium mesh cage and vertebra in reference to vertebral bone mineral density. Spine 26:957–963, 2001.

    CAS  PubMed  Google Scholar 

  16. Hasserius, R., M. K. Karlsson, B. Jónsson, I. Redlund-Johnell, and O. Johnell. Long-term morbidity and mortality after a clinically diagnosed vertebral fracture in the elderly-a 12- and 22-year follow-up of 257 patients. Calcif. Tissue Int. 76:235–242, 2005.

    CAS  PubMed  Google Scholar 

  17. Hurrell, A. Voltage to pressure conversion: are you getting `phased’ by the problem? J. Phys. Conf. Ser. 1:57–62, 2004.

    Google Scholar 

  18. Jackman, T. M., A. I. Hussein, C. Curtiss, P. M. Fein, A. Camp, L. De Barros, and E. F. Morgan. Quantitative, 3D visualization of the initiation and progression of vertebral fractures under compression and anterior flexion. J. Bone Miner. Res. 31:777–788, 2016.

    PubMed  Google Scholar 

  19. Juszczyk, M. M., L. Cristofolini, M. Salvà, L. Zani, E. Schileo, and M. Viceconti. Accurate in vitro identification of fracture onset in bones: failure mechanism of the proximal human femur. J. Biomech. 46:158–164, 2013.

    PubMed  Google Scholar 

  20. Landham, P. R., S. J. Gilbert, H. L. A. Baker-Rand, P. Pollintine, K. A. R. Brown, M. A. Adams, and P. Dolan. Pathogenesis of vertebral anterior wedge deformity: a 2-stage process? Spine 40:902–908, 2015.

    PubMed  Google Scholar 

  21. Lane, N. E., M. C. Nevitt, H. K. Genant, and M. C. Hochberg. Reliability of new indices of radiographic osteoarthritis of the hand and hip and lumbar disc degeneration. J. Rheumatol. 20:1911–1918, 1993.

    CAS  PubMed  Google Scholar 

  22. Lin, W., F. Serra-Hsu, J. Cheng, and Y.-X. Qin. Frequency specific ultrasound attenuation is sensitive to trabecular bone structure. Ultrasound Med. Biol. 38:2198–2207, 2012.

    PubMed  PubMed Central  Google Scholar 

  23. Liu, P. F., J. K. Chu, Y. L. Liu, and J. Y. Zheng. A study on the failure mechanisms of carbon fiber/epoxy composite laminates using acoustic emission. Mater. Des. 37:228–235, 2012.

    CAS  Google Scholar 

  24. Martelli, S., and E. Perilli. Time-elapsed synchrotron-light microstructural imaging of femoral neck fracture. J. Mech. Behav. Biomed. Mater. 84:265–272, 2018.

    PubMed  Google Scholar 

  25. Mattes, D., D. R. Haynor, H. Vesselle, T. K. Lewellen, and W. Eubank. PET-CT image registration in the chest using free-form deformations. IEEE Trans. Med. Imaging 22:120–128, 2003.

    PubMed  Google Scholar 

  26. Morgan, E. F., H. H. Bayraktar, and T. M. Keaveny. Trabecular bone modulus-density relationships depend on anatomic site. J. Biomech. 36:897–904, 2003.

    PubMed  Google Scholar 

  27. Ochia, R. S., and R. P. Ching. Internal pressure measurements during burst fracture formation in human lumbar vertebrae. Spine 27:1160–1167, 2002.

    PubMed  Google Scholar 

  28. Panjabi, M. M., T. R. Oxland, M. Kifune, M. Arand, L. Wen, and A. Chen. Validity of the three-column theory of thoracolumbar fractures. A biomechanic investigation. Spine 20:1122–1127, 1995.

    CAS  PubMed  Google Scholar 

  29. Pickett, G. E., M. Campos-Benitez, J. L. Keller, and N. Duggal. Epidemiology of traumatic spinal cord injury in Canada. Spine 31:799–805, 2006.

    PubMed  Google Scholar 

  30. Sasso, M., G. Haïat, Y. Yamato, S. Naili, and M. Matsukawa. Frequency dependence of ultrasonic attenuation in bovine cortical bone: an in vitro study. Ultrasound Med. Biol. 33:1933–1942, 2007.

    PubMed  Google Scholar 

  31. Shridharani, J. K., B. R. Bigler, C. A. Cox, M. A. Ortiz-Paparoni, and C. R. Bass. Sensitive injury detection in the cervical spine using acoustic emission and continuous wavelet transform. In: IRCOBI Conference 2016, Malaga, Spain, pp. 131–142, 2016. http://www.ircobi.org/wordpress/downloads/irc16/pdf-files/24.pdf.

  32. Stemper, B. D., S. Chirvi, N. Doan, J. L. Baisden, D. J. Maiman, W. H. Curry, N. Yoganandan, F. A. Pintar, G. Paskoff, and B. S. Shender. Biomechanical tolerance of whole lumbar spines in straightened posture subjected to axial acceleration. J. Orthop. Res. 36:1747–1756, 2017.

    PubMed  Google Scholar 

  33. Stemper, B. D., S. G. Storvik, N. Yoganandan, J. L. Baisden, R. J. Fijalkowski, F. A. Pintar, B. S. Shender, and G. R. Paskoff. A new PMHS model for lumbar spine injuries during vertical acceleration. J. Biomech. Eng. 133:081002, 2011.

    PubMed  Google Scholar 

  34. Stemper, B. D., N. Yoganandan, J. L. Baisden, S. Umale, A. S. Shah, B. S. Shender, and G. R. Paskoff. Rate-dependent fracture characteristics of lumbar vertebral bodies. J. Mech. Behav. Biomed. Mater. 41:271–279, 2015.

    PubMed  Google Scholar 

  35. Taddei, F., L. Cristofolini, S. Martelli, H. S. Gill, and M. Viceconti. Subject-specific finite element models of long bones: an in vitro evaluation of the overall accuracy. J. Biomech. 39:2457–2467, 2006.

    PubMed  Google Scholar 

  36. Van Toen, C., J. Street, T. R. Oxland, and P. A. Cripton. Acoustic emission signals can discriminate between compressive bone fractures and tensile ligament injuries in the spine during dynamic loading. J. Biomech. 45:1643–1649, 2012.

    PubMed  Google Scholar 

  37. Vasquez, K. B., F. T. Brozoski, K. P. Logsdon, and V. C. Chancey. Retrospective analysis of injuries in underbody blast events: 2007–2010. Mil. Med. 183:347–352, 2018.

    PubMed  Google Scholar 

  38. Wells, J. G., and R. D. Rawlings. Acoustic emission and mechanical properties of trabecular bone. Biomaterials 6:218–224, 1985.

    CAS  PubMed  Google Scholar 

  39. Wenzel, T. E., M. B. Schaffler, and D. P. Fyhrie. In vivo trabecular microcracks in human vertebral bone. Bone 19:89–95, 1996.

    CAS  PubMed  Google Scholar 

  40. Willén, J., S. Lindahl, L. Irstam, B. Aldman, and A. Nordwall. The thoracolumbar crush fracture an experimental study on instant axial dynamic loading: The resulting fracture type and its stability. Spine 9:624–631, 1984.

    PubMed  Google Scholar 

  41. Yeh, O. C., and T. M. Keaveny. Relative roles of microdamage and microfracture in the mechanical behavior of trabecular bone. J. Orthop. Res. 19:1001–1007, 2001.

    CAS  PubMed  Google Scholar 

  42. Yoganandan, N., J. Moore, F. A. Pintar, A. Banerjee, N. DeVogel, and J. Zhang. Role of disc area and trabecular bone density on lumbar spinal column fracture risk curves under vertical impact. J. Biomech. 72:90–98, 2018.

    PubMed  Google Scholar 

  43. Yoganandan, N., F. A. Pintar, B. D. Stemper, J. L. Baisden, R. Aktay, B. S. Shender, G. Paskoff, and P. Laud. Trabecular bone density of male human cervical and lumbar vertebrae. Bone 39:336–344, 2006.

    PubMed  Google Scholar 

  44. Zhao, F. D., P. Pollintine, B. D. Hole, M. A. Adams, and P. Dolan. Vertebral fractures usually affect the cranial endplate because it is thinner and supported by less-dense trabecular bone. Bone 44:372–379, 2009.

    PubMed  Google Scholar 

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Acknowledgments

The authors would like to acknowledge the support from Defence Science and Technology Group, Australia and the collaboration with U.S. Army Research Laboratory for this research. We also acknowledge the facilities and scientific and technical assistance of the National Imaging Facility, a National Collaborative Research Infrastructure Strategy (NCRIS) capability, at Monash Biomedical Imaging, Monash University.

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Correspondence to Peter Vee Sin Lee.

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Robinson, D.L., Tse, K.M., Franklyn, M. et al. Cortical and Trabecular Bone Fracture Characterisation in the Vertebral Body Using Acoustic Emission. Ann Biomed Eng 47, 2384–2401 (2019). https://doi.org/10.1007/s10439-019-02316-y

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