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BioMed Research International
Volume 2018 (2018), Article ID 6284269, 8 pages
https://doi.org/10.1155/2018/6284269
Research Article

Quantification of Volumetric Bone Mineral Density of Proximal Femurs Using a Two-Compartment Model and Computed Tomography Images

1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei 11221, Taiwan
2Institute of Nuclear Engineering and Science, National Tsing Hua University, Hsinchu 30013, Taiwan
3School of Dentistry, College of Medicine, China Medical University, Taichung 40402, Taiwan
4Department of Radiology, Cheng Ching Hospital, Chung Kang Branch, Taichung 40764, Taiwan
5Department of Radiology, Mackay Memorial Hospital, Taipei 10449, Taiwan

Correspondence should be addressed to Jay Wu; moc.liamg@uwyajmai

Received 20 September 2017; Revised 21 January 2018; Accepted 31 January 2018; Published 27 February 2018

Academic Editor: Magali Cucchiarini

Copyright © 2018 Yan-Lin Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. World Health Organization, Assessment of Fracture Risk And Its Application to Screening for Postmenopausal Osteoporosis: Report of A Who Study Group, World Health Organization, 1994.
  2. I. A. Dontas and C. K. Yiannakopoulos, “Risk factors and prevention of osteoporosis-related fractures,” Journal of Musculoskeletal and Neuronal Interactions, vol. 7, no. 3, pp. 268–272, 2007. View at Google Scholar · View at Scopus
  3. J. R. Center, T. V. Nguyen, D. Schneider, P. N. Sambrook, and J. A. Eisman, “Mortality after all major types of osteoporotic fracture in men and women: an observational study,” The Lancet, vol. 353, no. 9156, pp. 878–882, 1999. View at Publisher · View at Google Scholar · View at Scopus
  4. H. J. Kalkwarf, T. Laor, and J. A. Bean, “Fracture risk in children with a forearm injury is associated with volumetric bone density and cortical area (by peripheral QCT) and areal bone density (by DXA),” Osteoporosis International, vol. 22, no. 2, pp. 607–616, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. K. Engelke, C. Libanati, Y. Liu et al., “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, no. 1, pp. 110–118, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. W. C. Hayes, S. J. Piazza, and P. K. Zysset, “Biomechanics of fracture risk prediction of the hip and spine by quantitative computed tomography,” Radiologic Clinics of North America, vol. 29, no. 1, pp. 1–18, 1991. View at Google Scholar · View at Scopus
  7. L. M. Marshall, T. F. Lang, L. C. Lambert, J. M. Zmuda, K. E. Ensrud, and E. S. Orwoll, “Dimensions and volumetric BMD of the proximal femur and their relation to age among older U.S. men,” Journal of Bone and Mineral Research, vol. 21, no. 8, pp. 1197–1206, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. A. J. Burghardt, T. M. Link, and S. Majumdar, “High-resolution computed tomography for clinical imaging of bone microarchitecture,” Clinical Orthopaedics and Related Research, vol. 469, no. 8, pp. 2179–2193, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Ollivier, T. Le Corroller, G. Blanc et al., “Radiographic bone texture analysis is correlated with 3D microarchitecture in the femoral head, and improves the estimation of the femoral neck fracture risk when combined with bone mineral density,” European Journal of Radiology, vol. 82, no. 9, pp. 1494–1498, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Panmekiate, N. Ngonphloy, T. Charoenkarn, T. Faruangsaeng, and R. Pauwels, “Comparison of mandibular bone microarchitecture between micro-CT and CBCT images,” Dentomaxillofacial Radiology, vol. 44, no. 5, Article ID 20140322, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Hirvasniemi, J. Thevenot, H. T. Kokkonen et al., “Correlation of Subchondral Bone Density and Structure from Plain Radiographs with Micro Computed Tomography Ex Vivo,” Annals of Biomedical Engineering, vol. 44, no. 5, pp. 1698–1709, 2016. View at Publisher · View at Google Scholar · View at Scopus
  12. S. Giannotti, V. Bottai, D. Panetta et al., “Three-dimensional parametric mapping in quantitative micro-CT imaging of post-surgery femoral head-neck samples: Preliminary results,” Clinical Cases in Mineral and Bone Metabolism, vol. 12, no. 3, pp. 243–246, 2015. View at Google Scholar · View at Scopus
  13. T. M. Link, S. Majumdar, J. C. Lin et al., “Assessment of trabecular structure using high resolution CT images and texture analysis,” Journal of Computer Assisted Tomography, vol. 22, no. 1, pp. 15–24, 1998. View at Publisher · View at Google Scholar · View at Scopus
  14. A. E. Rodríguez-Soto, K. D. Fritscher, B. Schuler et al., “Texture analysis, bone mineral density, and cortical thickness of the proximal femur: Fracture risk prediction,” Journal of Computer Assisted Tomography, vol. 34, no. 6, pp. 949–957, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Baum, D. C. Karampinos, H. Liebl, E. J. Rummeny, S. Waldt, and J. S. Bauer, “High-resolution bone imaging for osteoporosis diagnostics and therapy monitoring using clinical MDCT and MRI,” Current Medicinal Chemistry, vol. 20, no. 38, pp. 4844–4852, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. J.-T. Hsu, Y.-J. Chen, J.-T. Ho et al., “A comparison of micro-CT and dental CT in assessing cortical bone morphology and trabecular bone microarchitecture,” PLoS ONE, vol. 9, no. 9, Article ID e107545, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. J.-T. Ho, J. Wu, H.-L. Huang, M. Y. C. Chen, L.-J. Fuh, and J.-T. Hsu, “Trabecular bone structural parameters evaluated using dental cone-beam computed tomography: Cellular synthetic bones,” Biomedical Engineering Online, vol. 12, no. 1, article no. 115, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Kim, “Can dental cone beam computed tomography assess bone mineral density?” Journal of Bone Metabolism, vol. 21, no. 2, pp. 117–126, 2014. View at Publisher · View at Google Scholar
  19. I. Hasan, M. Dominiak, A. Blaszczyszyn, C. Bourauel, T. Gedrange, and F. Heinemann, “Radiographic evaluation of bone density around immediately loaded implants,” Annals of Anatomy, vol. 199, pp. 52–57, 2015. View at Publisher · View at Google Scholar · View at Scopus
  20. H. Q. Woodard and D. R. White, “The composition of body tissues,” British Journal of Radiology, vol. 59, no. 708, pp. 1209–1218, 1986. View at Publisher · View at Google Scholar · View at Scopus
  21. J. M. Deuerling, D. J. Rudy, G. L. Niebur, and R. K. Roeder, “Improved accuracy of cortical bone mineralization measured by polychromatic microcomputed tomography using a novel high mineral density composite calibration phantom,” Medical Physics, vol. 37, no. 9, pp. 5138–5145, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. W. A. Kalender, “A phantom for standarization and quality control in spinal bone mineral measurements by QCT and DXA Design considerations and specifications,” Medical Physics, vol. 19, no. 3, pp. 583–586, 1992. View at Publisher · View at Google Scholar · View at Scopus
  23. P. Ruegsegger and W. A. Kalender, “A phantom for standardization and quality control in peripheral bone measurements by PQCT and DXA,” Physics in Medicine and Biology, vol. 38, no. 12, article no. 018, pp. 1963–1970, 1993. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Hsieh, Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Wiley, 2nd edition, 2009.
  25. L. G. Portney and M. P. Watkins, Foundations of Clinical Research: Applications to Practice, Prentice Hall, 3rd edition, 2009.
  26. J. E. Jacobs, L. M. Boxt, B. Desjardins, E. K. Fishman, P. A. Larson, and J. Schoepf, “ACR practice guideline for the performance and interpretation of cardiac computed tomography (CT),” Journal of the American College of Radiology, vol. 3, no. 9, pp. 677–685, 2006. View at Publisher · View at Google Scholar
  27. M. S. M. Ardawi, A. A. Maimany, T. M. Bahksh, H. A. N. Nasrat, W. A. Milaat, and R. M. Al-Raddadi, “Bone mineral density of the spine and femur in healthy Saudis,” Osteoporosis International, vol. 16, no. 1, pp. 43–55, 2005. View at Publisher · View at Google Scholar · View at Scopus
  28. L.-H. Cui, J.-S. Choi, M.-H. Shin et al., “Prevalence of osteoporosis and reference data for lumbar spine and hip bone mineral density in a Korean population,” Journal of Bone and Mineral Metabolism, vol. 26, no. 6, pp. 609–617, 2008. View at Publisher · View at Google Scholar · View at Scopus