DOI QR코드

DOI QR Code

A Pilot Study on Hip Bone Mineral Densities Estimation from Forearm CBCT images

  • Ko, Hoon (Department of Biomedical Engineering, Wonkwang University College of Medicine) ;
  • Lee, Chang-Hoon (Imaging Science based Lung and Bone Disease Research Center, Wonkwang University) ;
  • Jeong, Kwanmoon (Department of Biomedical Engineering, Wonkwang University College of Medicine) ;
  • Lee, Myeung Su (Imaging Science based Lung and Bone Disease Research Center, Wonkwang University) ;
  • Nam, Yunyoung (Department of Computer Science, Soonchunhyang University) ;
  • Yoon, Kwon-Ha (Imaging Science based Lung and Bone Disease Research Center, Wonkwang University) ;
  • Lee, Jinseok (Department of Biomedical Engineering, Wonkwang University College of Medicine)
  • Received : 2017.06.09
  • Accepted : 2017.08.14
  • Published : 2017.12.31

Abstract

In this paper, we defined the relative cross-sectional area of forearm cortical bone and investigated its correlation with hip bone mineral density values of total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward's triangle, respectively. Based on the correlations, we established a linear transformation between the relative cross-sectional area of forearm cortical bone and each hip bone BMD. We obtained forearm images using CBCT and hip bone BMDs using dual-energy X-ray absorptiometry (DXA) for 28 subjects. We also investigated the optimal forearm region to provide the strongest correlation coefficient. We used the optimized forearm region to establish each linear transformation to estimate BMD values for total femur, femoral neck, femoral trochanter, femoral inter-trochanter and femoral ward's triangle from the relative cross-sectional area of forearm cortical bone, respectively. We observed the strong correlations with total femur (r=0.889), femoral neck (r=0.924), femoral trochanter (r=0.821), femoral inter-trochanter (r=0.867) and femoral ward's triangle (r=0.895), respectively. The strongest correlation was observed in the forearm mid-shaft regions. Our results suggest that the hip bone BMD values can be simply estimated from forearm CBCT images in a convenient sitting position without X-ray exposure on a hip including genital organs, and may be useful for screening osteoporosis.

Keywords

References

  1. J. A. Kanis, "Diagnosis of osteoporosis and assessment of fracture risk," The Lancet, vol. 359, ed, pp. 1929-1936, 2002. https://doi.org/10.1016/S0140-6736(02)08761-5
  2. S. Schuit, M. Van der Klift, A. Weel, C. De Laet, H. Burger, E. Seeman, A. Hofman, A. Uitterlinden, J. Van Leeuwen and H. Pols, "Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study," Bone, vol. 34, ed, pp. 195-202, 2004. https://doi.org/10.1016/j.bone.2003.10.001
  3. G. Guglielmi, S. Muscarella and A. Bazzocchi, "Integrated imaging approach to osteoporosis: state-of-the-art review and update," Radiographics, vol. 31, ed, pp. 1343-1364, 2011. https://doi.org/10.1148/rg.315105712
  4. J. Aitken, "Relevance of osteoporosis in women with fracture of the femoral neck," Br Med J (Clin Res Ed), vol. 288, ed, pp. 597-601, 1984. https://doi.org/10.1136/bmj.288.6417.597
  5. C. Christodoulou and C. Cooper, "What is osteoporosis?," Postgraduate medical journal, vol. 79, ed, pp. 133-138, 2003. https://doi.org/10.1136/pmj.79.929.133
  6. J. Y. Yang and Y. M. Kim, "Correlation analysis of BMD in proximal femur and spine," Journal of the Korean Society of Fractures, vol. 16, ed, pp. 570-576, 2003. https://doi.org/10.12671/jksf.2003.16.4.570
  7. G. M. Blake and I. Fogelman, "Bone densitometry and the diagnosis of osteoporosis," Seminars in nuclear medicine, vol. 31, ed: Elsevier, pp. 69-81, 2001. https://doi.org/10.1053/snuc.2001.18749
  8. J. Jang, S. Yang, D. Kim, Y. Jo, S. Lee and K. Kim, "Comparative Study of Femur BMD and Lumbar BMD Measurement Using Dual Energy X-ray Absorptiometry in Proximal Femur Fractures," Korean journal of bone metabolism, vol. 3, ed, pp. 170-173, 1996.
  9. S. H. Ralston, "Bone densitometry and bone biopsy," Best Practice & Research Clinical Rheumatology, vol. 19, ed, pp. 487-501, 2005. https://doi.org/10.1016/j.berh.2004.11.008
  10. K. Engelke, C. Libanati, Y. Liu, H. Wang, M. Austin, T. Fuerst, B. Stampa, W. Timm and H. K. Genant, "Quantitative computed tomography (QCT) of the forearm using general purpose spiral whole-body CT scanners: accuracy, precision and comparison with dual-energy X-ray absorptiometry (DXA)," Bone, vol. 45, ed, pp. 110-118, 2009. https://doi.org/10.1016/j.bone.2009.03.669
  11. D. M. Black, M. L. Bouxsein, L. M. Marshall, S. R. Cummings, T. F. Lang, J. A. Cauley, K. E. Ensrud, C. M. Nielson and E. S. Orwoll, "Proximal femoral structure and the prediction of hip fracture in men: a large prospective study using QCT," Journal of Bone and Mineral Research, vol. 23, ed, pp. 1326-1333, 2008. https://doi.org/10.1359/jbmr.080316
  12. T. Lang, G. Guglielmi, C. Van Kuijk, A. De Serio, M. Cammisa and H. Genant, "Measurement of bone mineral density at the spine and proximal femur by volumetric quantitative computed tomography and dual-energy X-ray absorptiometry in elderly women with and without vertebral fractures," Bone, vol. 30, ed, pp. 247-250, 2002. https://doi.org/10.1016/S8756-3282(01)00647-0
  13. G. Guglielmi, P. Schneider, T. Lang, G. Giannatempo, M. Cammisa and H. Genant, "Quantitative computed tomography at the axial and peripheral skeleton," European radiology, vol. 7, ed, p. S32, 1997. https://doi.org/10.1007/PL00006862
  14. N. Mochizuki, N. Sugino, T. Ninomiya, N. Yoshinari, N. Udagawa and A. Taguchi, "Association of cortical shape of the mandible on panoramic radiographs with mandibular trabecular bone structure in Japanese adults: a cone-beam CT-image analysis," Oral Radiology, vol. 30, ed, pp. 160-167, 2014. https://doi.org/10.1007/s11282-013-0155-z
  15. K. Engelke, J. E. Adams, G. Armbrecht, P. Augat, C. E. Bogado, M. L. Bouxsein, D. Felsenberg, M. Ito, S. Prevrhal and D. B. Hans, "Clinical use of quantitative computed tomography and peripheral quantitative computed tomography in the management of osteoporosis in adults: the 2007 ISCD Official Positions," Journal of Clinical Densitometry, vol. 11, ed, pp. 123-162, 2008. https://doi.org/10.1016/j.jocd.2007.12.010
  16. A. Vijay, N. Shankar, C. A. S. Ligesh and M. Anburajan, "Evaluation of osteoporosis using CT image of proximal femur compared with dual energy X-ray absorptiometry (DXA) as the standard," in Proc. of Electronics Computer Technology (ICECT), 2011 3rd International Conference on, vol. 3, ed: IEEE, pp. 334-338, 2011.
  17. K. Jeong, H. Ko, C.-H. Lee, M. S. Lee, K.-H. Yoon and J. Lee, "A novel method for estimation of femoral neck bone mineral density using forearm images from peripheral cone beam computed tomography," Applied Sciences, vol. 6, ed, p. 113, 2016. https://doi.org/10.3390/app6040113
  18. W.-Y. Ma and B. S. Manjunath, "EdgeFlow: a technique for boundary detection and image segmentation," IEEE transactions on image processing, vol. 9, ed, pp. 1375-1388, 2000. https://doi.org/10.1109/83.855433
  19. S. Shah, A. Abaza, A. Ross and H. Ammar, "Automatic tooth segmentation using active contour without edges," in Proc. of Biometric consortium conference, 2006 biometrics symposium: Special session on research at the, ed: IEEE, pp. 1-6, 2006.
  20. S. C. DeFreitas, "Computer method for filling a selected region in a target image," ed: Google Patents, 1999.
  21. L. Mosekilde, "Age-related changes in bone mass, structure, and strength-effects of loading," Zeitschrift fur Rheumatologie, vol. 59, ed, pp. I1-I9, 2000. https://doi.org/10.1007/s003930070031
  22. A.-M. Laval-Jeantet, C. Bergot, R. Carroll and F. Garcia-Schaefer, "Cortical bone senescence and mineral bone density of the humerus," Calcified tissue international, vol. 35, ed, pp. 268-272, 1983. https://doi.org/10.1007/BF02405044
  23. W. Trivitayaratana and P. Trivitayaratana, "The accuracy of bone mineral density at distal radius on non-forearm osteoporosis identification," Journal of the Medical Association of Thailand=Chotmaihet thangphaet, vol. 84, ed, pp. 566-571, 2001.
  24. S. Rausch, K. Klos, F. Gras, H. K. Skulev, A. Popp, G. O. Hofmann and T. Muckley, "Utility of the cortical thickness of the distal radius as a predictor of distal-radius bone density," Archives of trauma research, vol. 2, ed, p. 11, 2013. https://doi.org/10.5812/atr.10687
  25. I. Barngkgei, I. Al Haffar and R. Khattab, "Osteoporosis prediction from the mandible using cone-beam computed tomography," Imaging science in dentistry vol. 44, ed, pp. 263-271, 2014. https://doi.org/10.5624/isd.2014.44.4.263
  26. T. Webber, S. P. Patel, M. Pensak, O. Fajolu, T. D. Rozental and J. M. Wolf, "Correlation between distal radial cortical thickness and bone mineral density," The Journal of hand surgery, vol. 40, ed, pp. 493-499, 2015. https://doi.org/10.1016/j.jhsa.2014.12.015
  27. B. Chen and R. Ning, "Cone‐beam volume CT breast imaging: Feasibility study," Medical physics, vol. 29, ed, pp. 755-770, 2002. https://doi.org/10.1118/1.1461843
  28. W. C. Scarfe and A. G. Farman, "What is cone-beam CT and how does it work?," Dental Clinics of North America, vol. 52, ed, pp. 707-730, 2008. https://doi.org/10.1016/j.cden.2008.05.005
  29. J. Casselman, K. Gieraerts, D. Volders, J. Delanote, K. Mermuys, B. Foer and G. Swennen, "Cone beam CT: non-dental applications," Journal of the Belgian Society of Radiology, vol. 96, ed, 2013.
  30. P. S. Cho, R. H. Johnson and T. W. Griffin, "Cone-beam CT for radiotherapy applications," Physics in medicine and biology, vol. 40, ed, p. 1863, 1995. https://doi.org/10.1088/0031-9155/40/11/007