Prediction of failure load using micro-finite element analysis models: Toward in vivo strength assessment

Drug Discovery Today: Technologies

Volumn 3, Issue 2, 2006, Pages 221-229

  van Lenthe, G Harry ^a   Müller, Ralph ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

IDOXIFENE; NEW DRUG; PLACEBO;

ARTICLE; BIOMECHANICS; BONE DENSITY; BONE DISEASE; BONE RADIOGRAPHY; BONE STRENGTH; BONE STRESS; BONE STRUCTURE; CLINICAL TRIAL; COMPUTER ASSISTED TOMOGRAPHY; FINITE ELEMENT ANALYSIS; HIP FRACTURE; HUMAN; IMAGE QUALITY; IN VIVO STUDY; LOAD CARRYING CAPACITY; MATHEMATICAL MODEL; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOLYSIS; OSTEOPOROSIS; PREDICTION; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; SPINE FRACTURE; STRUCTURE ANALYSIS; TRABECULAR BONE;

EID: 33746255579     PISSN: 17406749     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ddtec.2006.06.001     Document Type: Article

References (43)

1. Keaveny T.M., et al. Systematic and random errors in compression testing of trabecular bone. J. Orthop. Res. 15 (1997) 101-110
2. Odgaard A., and Linde F. The underestimation of Young's modulus in compressive testing of cancellous bone specimens. J. Biomech. 24 (1991) 691-698
3. Voide R., et al. Functional microimaging: an integrated approach for advanced bone biomechanics and failure analysis. SPIE: Medical Imaging (2006), Physiology, function and structure from medical images. SPIE
4. Keaveny T.M., et al. Biomechanics of trabecular bone. Annu. Rev. Biomed. Eng. 3 (2001) 307-333
5. Yang G., et al. The anisotropic Hooke's law for cancellous bone and wood. J. Elast. 53 (1999) 125-146
6. Huiskes R., and Chao E.Y. A survey of finite element analysis in orthopedic biomechanics: the first decade. J. Biomech. 16 (1983) 385-409
7. Prendergast P.J. Finite element models in tissue mechanics and orthopaedic implant design. Clin. Biomech. (Bristol, Avon) 12 (1997) 343-366
8. Borah B., et al. Three-dimensional microimaging (MRμI and μCT), finite element modeling, and rapid prototyping provide unique insights into bone architecture in osteoporosis. Anat. Rec. 265 (2001) 101-110
9. Zienkiewicz O.C., and Taylor R.L. Finite element method. Volume 1 - The basis. 5th edn (2000), Elsevier
10. Crawford R.P., et al. Finite element models predict in vitro vertebral body compressive strength better than quantitative computed tomography. Bone 33 (2003) 744-750
11. Homminga J., et al. Introduction and evaluation of a gray-value voxel conversion technique. J. Biomech. 34 (2001) 513-517
12. Cody D.D., et al. Femoral strength is better predicted by finite element models than QCT and DXA. J. Biomech. 32 (1999) 1013-1020
13. Keyak J.H., et al. Prediction of femoral fracture load using automated finite element modeling. J. Biomech. 31 (1998) 125-133
14. Keyak J.H. Improved prediction of proximal femoral fracture load using nonlinear finite element models. Med. Eng. Phys. 23 (2001) 165-173
15. Kabel J., et al. The role of an effective isotropic tissue modulus in the elastic properties of cancellous bone. J. Biomech. 32 (1999) 673-680
16. Ladd A.J., et al. Finite-element modeling of trabecular bone: comparison with mechanical testing and determination of tissue modulus. J. Orthop. Res. 16 (1998) 622-628
17. Homminga J., et al. The dependence of the elastic properties of osteoporotic cancellous bone on volume fraction and fabric. J. Biomech. 36 (2003) 1461-1467
18. van Rietbergen B., et al. A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. J. Biomech. 28 (1995) 69-81
19. van Rietbergen B., et al. Trabecular bone tissue strains in the healthy and osteoporotic human femur. J. Bone Miner. Res. 18 (2003) 1781-1788
20. Eswaran S.K., et al. Cortical and trabecular load sharing in the human vertebral body. J. Bone Miner. Res. 21 (2006) 307-314
21. Homminga J., et al. The osteoporotic vertebral structure is well adapted to the loads of daily life, but not to infrequent 'error' loads. Bone 34 (2004) 510-516
22. Pistoia W., et al. Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images. Bone 30 (2002) 842-848
23. Gasser J.A., et al. Noninvasive monitoring of changes in structural cancellous bone parameters with a novel prototype micro-CT. J. Bone Miner. Metab. 23 Suppl. 1 (2005) 90-96
24. Waarsing J.H., et al. Detecting and tracking local changes in the tibiae of individual rats: a novel method to analyse longitudinal in vivo micro-CT data. Bone 34 (2004) 163-169
25. Boutroy S., et al. In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. J. Clin. Endocrinol. Metab. 90 (2005) 6508-6515
26. Khosla S., et al. Effects of sex and age on bone microstructure at the ultradistal radius: a population-based noninvasive in vivo assessment. J. Bone Miner. Res. 21 (2006) 124-131
27. Ulrich D., et al. Load transfer analysis of the distal radius from in-vivo high-resolution CT-imaging. J. Biomech. 32 (1999) 821-828
28. Pistoia W., et al. High-resolution three-dimensional-pQCT images can be an adequate basis for in-vivo microFE analysis of bone. J. Biomech. Eng 123 (2001) 176-183
29. Newitt D.C., et al. In vivo assessment of architecture and micro-finite element analysis derived indices of mechanical properties of trabecular bone in the radius. Osteoporos. Int. 13 (2002) 6-17
30. van Rietbergen B., et al. High-resolution MRI and micro-FE for the evaluation of changes in bone mechanical properties during longitudinal clinical trials: application to calcaneal bone in postmenopausal women after one year of idoxifene treatment. Clin. Biomech. (Bristol, Avon) 17 (2002) 81-88
31. Hou F.J., et al. Human vertebral body apparent and hard tissue stiffness. J. Biomech. 31 (1998) 1009-1015
32. Jaasma M.J., et al. Biomechanical effects of intraspecimen variations in tissue modulus for trabecular bone. J. Biomech. 35 (2002) 237-246
33. van der Linden J.C., et al. Trabecular bone's mechanical properties are affected by its non-uniform mineral distribution. J. Biomech. 34 (2001) 1573-1580
34. Bourne B.C., and Van Der Meulen M.C. Finite element models predict cancellous apparent modulus when tissue modulus is scaled from specimen CT-attenuation. J. Biomech. 37 (2004) 613-621
35. Hodgskinson R., and Currey J.D. The effect of variation in structure on the Young's modulus of cancellous bone: a comparison of human and non-human material. J. Eng. Med. 204 (1990) 115-121
36. Niebur G.L., et al. High-resolution finite element models with tissue strength asymmetry accurately predict failure of trabecular bone. J. Biomech. 33 (2000) 1575-1583
37. Bayraktar H.H., et al. Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J. Biomech. 37 (2004) 27-35
38. Stolken J.S., and Kinney J.H. On the importance of geometric nonlinearity in finite-element simulations of trabecular bone failure. Bone 33 (2003) 494-504
39. Müller R., et al. Micro-compression: a novel technique for the nondestructive assessment of local bone failure. Technol. Health Care 6 (1998) 433-444
40. Nazarian A., and Muller R. Time-lapsed microstructural imaging of bone failure behavior. J. Biomech. 37 (2004) 55-65
41. Müller, R. et al. (2002) Micro-mechanical evaluation of bone microstructures under load. In Developments in X-Ray Tomography III, (Bonse, U., ed.) SPIE 4503, pp. 189-200
42. Wehrli F.W., et al. Role of magnetic resonance for assessing structure and function of trabecular bone. Top. Magn. Reson. Imaging 13 (2002) 335-355
43. Pruessmann K.P., et al. SENSE: sensitivity encoding for fast MRI. Magn. Reson. Med. 42 (1999) 952-962