Expected and observed changes to descriptors of trabecular architecture with aging - A comparison of measurement techniques

Australasian Physical and Engineering Sciences in Medicine

Volumn 29, Issue 1, 2006, Pages 48-52

  Badiei, Arash ^a,b   Bottema, M J ^c   Fazzalari, N L ^a,b  

^a INSTITUTE OF MEDICAL AND VETERINARY SCIENCE   (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c FLINDERS UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; COMPUTERIZED TOMOGRAPHY; ESTIMATION; PHYSICAL PROPERTIES;

DEGREE OF ANISOTROPY (DA); TRABECULAR ARCHITECTURE; TRABECULAR BONE;

BONE;

AGING; ANISOTROPY; ARTICLE; BONE FRAGILITY; BONE MASS; BONE STRUCTURE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIGITAL IMAGING; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MEASUREMENT; THICKNESS; TRABECULAR BONE;

AGING; ANISOTROPY; BIOMECHANICS; BONE DEVELOPMENT; CADAVER; CALCIFICATION, PHYSIOLOGIC; COMPUTER SIMULATION; DENSITOMETRY, X-RAY; HUMANS; LUMBAR VERTEBRAE; MODELS, BIOLOGICAL; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 33645814889     PISSN: 01589938     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Odgaard, A., Three-dimensional methods for quantification of cancellous bone architecture. Bone, 1997. 20(4): p. 315-28.
2. Parfitt, A., et al., Relationship between surface, volume and thickness of iliac trabecular bone in aging and in osteoporosis. Journal of Clinical Investigation, 1983. 72: p. 1396-1409.
3. Thomsen, J.S., E.N. Ebbesen, and L.I. Mosekilde, Age-related differences between thinning of horizontal and vertical trabeculae in human lumbar bone as assessed by a new computerized method. Bone, 2002. 31(1): p. 136-42.
4. Chappard, C., et al., Anisotropy changes in post-menopausal osteoporosis: characterization by a new index applied to trabecular bone radiographic images. Osteoporosis Int, 2005.
5. Whitehouse, W.J., The quantitative morphology of anisotropic trabecular bone. J Microsc, 1974. 101 Pt 2: p. 153-68.
6. Harrigan, T.P. and R.W. Mann, Characterization of Microsturctural Anisotropy in Orthotropic Materials Using a Second Rank Tensor. Journal of Material Science, 1984. 19: p. 761 - 767.
7. Geraets, W.G., et al., Orientation of the trabecular pattern of the distal radius around the menopause. J Biomech, 1997. 30(4): p. 363-70.
8. Smit, T.H., E. Schneider, and A. Odgaard, Star length distribution: a volume-based concept for the characterization of structural anisotropy. J Microsc, 1998. 191 (Pt 3): p. 249-57.
9. Mosekilde, L., Normal vertebral body size and compressive strength: relations to age and to vertebral and iliac trabecular bone compressive strength. Bone, 1986. 7(3): p. 207-12.
10. Mosekilde, L., Age-related changes in vertebral trabecular bone architecture-assessed by a new method. Bone, 1988. 9(4): p. 247-50.
11. Mosekilde, L., Sex differences in age-related loss of vertebral trabecular bone mass and structure-biomechanical consequences. Bone, 1989. 10(6): p. 425-32.
12. Gong, H., et al., Regional variations in microstructural properties of vertebral trabeculae with aging. J Bone Miner Metab, 2005. 23(2): p. 174-80.
13. Atkinson, P.J., Variation in trabecular structure of vertebrae with age. Calcif Tissue Res, 1967. 1(1): p. 24-32.
14. Oda, K., et al., Morphogenesis of vertebral deformities in involutional osteoporosis. Age-related, three-dimensional trabecular structure. Spine, 1998. 23(9): p. 1050-5, discussion 1056.
15. Kanatani, K., Measurement of Particle Orientation Distribution by a Stereological Method. Part. Charact., 1985. 2: p. 31 - 37.
16. Russ, J.C. and R.T. Dehoff, Practical Stereology. 2 ed. 2000, New York: Plenum Publishers.
17. Geraets, W.G., Comparison of two methods for measuring orientation. Bone, 1998. 23(4): p. 383-8.
18. Geraets, W.G., et al., A new method for automatic recognition of the radiographic trabecular pattern. J Bone Miner Res, 1990. 5(3): p. 227-33.
19. Cruz-Orive, L.M., et al., Characterizing Anisotropy: A New Concept. Micron and Microscopica Acta, 1992. 23(1 - 2): p. 75 - 76.
20. Gundersen, H.J. and E.B. Jensen, Stereological Estimation of the Volume-Weighted Mean Volume of Arbitrary Particles Observed on Random Sections. Journal Of Microscopy, 1985. 138(2): p. 127 - 142.
21. Odgaard, A., et al., Fabric and elastic principal directions of cancellous bone are closely related. J Biomech, 1997. 30(5): p. 487-95.
22. Ketcham, R.A. and T.M. Ryan, Quantification and Visualization of Anisotropy in Trabecular Bone. Journal Of Microscopy, 2004. 213(2): p. 158 - 171.
23. Otsu, N., A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 1979. 9(1): p. 62 - 66.
24. Parfitt, A.M., Bone Histomorphometry: Techniques and Interpretation, ed. R.R. Recker. 1983: CRC Press.
25. Mosekilde, L., et al., Trabecular bone structure and strength - remodelling and repair. J Musculoskelet Neuronal Interact, 2000. 1(1): p. 25-30.
26. Frost, H.M., On the trabecular "thickness"-number problem. J Bone Miner Res, 1999. 14(11): p. 1816-21.
27. Parfit, A., et al., Relationship between surface, volume and thickness of iliac trabecular bone in aging and in osteoporosis. Journal of Clinical Investigation, 1983. 72: p. 1396-1409.
28. Preteux, F., C. Bergot, and A.M. Laval-Jeantet, Automatic quantification of vertebral cancellous bone remodeling during aging. Anat Clin, 1985. 7(3): p. 203-8.
29. Kothari, M., et al., Measurement of intraspecimen variations in vertebral cancellous bone architecture. Bone, 1999. 25(2): p. 245-50.
30. Twomey, L., J. Taylor, and B. Furniss, Age changes in the bone density and structure of the lumbar vertebral column. J Anat, 1983. 136 (Pt 1): p. 15-25.