Women with previous fragility fractures can be classified based on bone microarchitecture and finite element analysis measured with HR-pQCT

Osteoporosis International

Volumn 24, Issue 5, 2013, Pages 1733-1740

  Nishiyama, K K ^a,b   Macdonald, H M ^c,d,e   Hanley, D A ^a,b   Boyd, S K ^a,b  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^e CENTRE FOR HIP HEALTH AND MOBILITY   (Canada)

Author keywords

Bone microarchitecture; Finite element analysis; Fracture; HR pQCT; Support vector machines

Indexed keywords

BISPHOSPHONIC ACID DERIVATIVE; CORTICOSTEROID;

ADULT; AGED; ARTICLE; BONE CHARACTERISTICS AND FUNCTIONS; BONE DENSITY; BONE MICROARCHITECTURE; BONE STRENGTH; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DUAL ENERGY X RAY ABSORPTIOMETRY; FEMALE; FEMUR NECK; FINITE ELEMENT ANALYSIS; FOREARM FRACTURE; FRAGILITY FRACTURE; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HIGH RESOLUTION PERIPHERAL QUANTITATIVE COMPUTED TOMOGRAPHY; HUMAN; LUMBAR SPINE; POSTMENOPAUSE; PRIORITY JOURNAL; RADIUS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TIBIA;

ABSORPTIOMETRY, PHOTON; ADULT; AGED; AGED, 80 AND OVER; BONE DENSITY; CASE-CONTROL STUDIES; FEMALE; FEMUR NECK; FINITE ELEMENT ANALYSIS; FOREARM INJURIES; HUMANS; LUMBAR VERTEBRAE; MIDDLE AGED; OSTEOPOROTIC FRACTURES; PROSPECTIVE STUDIES; RADIUS; RISK ASSESSMENT; TIBIA; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 84885022973     PISSN: 0937941X     EISSN: 14332965     Source Type: Journal    
DOI: 10.1007/s00198-012-2160-1     Document Type: Article

References (32)

1. Black DM, Cummings SR, Genant HK, Nevitt MC, Palermo L, Browner W (1992) Axial and appendicular bone density predict fractures in older women. J Bone Miner Res 7:633-638
2. Schuit CE, van der Klift M, Weel A, de Laet C, Burger H, Seeman E, Hofman A, Uitterlinden G, van Leeuwen J, Pols AP (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34:195-202
3. van der Linden JC, Weinans H (2007) Effects of microarchitecture on bone strength. Curr Osteoporos Rep 5:56-61
4. Sornay-Rendu E, Boutroy S, Munoz F, Delmas PD (2007) Alterations of cortical and trabecular architecture are associated with fractures in postmenopausal women, partially independent of decreased BMD measured by DXA: the OFELY study. J Bone Miner Res 22:425-433
5. Boutroy S, Bouxsein ML, Munoz F, Delmas PD (2005) In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. J Clin Endocrinol Metab 90:6508-6515
6. MacNeil JA, Boyd SK (2007) Accuracy of high-resolution peripheral quantitative computed tomography for measurement of bone quality. Med Eng Phys 29:1096-1105
7. MacNeil JA, Boyd SK (2008) Bone strength at the distal radius can be estimated from high-resolution peripheral quantitative computed tomography and the finite element method. Bone 42:1203-1213
8. Melton LJ, Riggs BL, van Lenthe GH, Achenbach SJ, Müller R, Bouxsein ML, Amin S, Atkinson EJ, Khosla S (2007) Contribution of in vivo structural measurements and load/strength ratios to the determination of forearm fracture risk in postmenopausal women. J Bone Miner Res 22:1442-1448
9. Boutroy S, Van Rietbergen B, Sornay-Rendu E, Munoz F, Bouxsein ML, Delmas PD (2008) Finite element analysis based on in vivo HR-pQCT images of the distal radius is associated with wrist fracture in postmenopausal women. J Bone Miner Res 23:392-399
10. Vilayphiou N, Boutroy S, Sornay-Rendu E, Van Rietbergen B, Munoz F, Delmas PD, Chapurlat R (2010) Finite element analysis performed on radius and tibia HR-pQCT images and fragility fractures at all sites in postmenopausal women. Bone 46:1030-1037
11. Vico L, Zouch M, Amirouche A, Frère D, Laroche N, Koller B, Laib A, Thomas T, Alexandre C (2008) High-resolution pQCT analysis at the distal radius and tibia discriminates patients with recent wrist and femoral neck fractures. J Bone Miner Res 23:1741-1750
12. Atkinson EJ, Therneau TM, Melton LJ, Camp JJ, Achenbach SJ, Amin S and Khosla S (2012) Assessing fracture risk using gradient boosting machine (GBM) models. J Bone Miner Res
13. Macdonald HM, Nishiyama KK, Kang J, Hanley DA, Boyd SK (2011) Age-related patterns of trabecular and cortical bone loss differ between sexes and skeletal sites: a population-based HR-pQCT study. J Bone Miner Res 26:50-62
14. Nishiyama KK, Macdonald HM, Buie HR, Hanley DA, Boyd SK (2010) Postmenopausal women with osteopenia have higher cortical porosity and thinner cortices at the distal radius and tibia than women with normal aBMD: an in vivo HR-pQCT study. J Bone Miner Res 25:882-890
15. Kreiger N, Tenenhouse A, Joseph L, MacKenzie T, Poliquin S, Brown J, Prior J, Rittmaster R (1999) The Canadian Multicentre Osteoporosis Study (CaMos): background, rationale, methods. Can J Aging 18:376-387
16. Berger C, Langsetmo L, Joseph L, Hanley DA, Davison KS, Josse RG, Prior JC, Kreiger N, Tenenhouse A, Goltzman D (2009) Association between change in BMD and fragility fracture in women and men. J Bone Miner Res 24:361-370
17. Laib A, Häuselmann HJ, Rüegsegger P (1998) In vivo high resolution 3D-QCT of the human forearm. Technol Health Care 6:329-337
18. Sekhon K, Kazakia GJ, Burghardt AJ, Hermannsson B, Majumdar S (2009) Accuracy of volumetric bone mineral density measurement in high-resolution peripheral quantitative computed tomography. Bone 45:473-479
19. MacNeil JA, Boyd SK (2008) Improved reproducibility of high-resolution peripheral quantitative computed tomography for measurement of bone quality. Med Eng Phys 30:792-799
20. Buie HR, Campbell GM, Klinck RJ, MacNeil JA, Boyd SK (2007) Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. Bone 41:505-515
21. Burghardt AJ, Kazakia GJ, Link TM, Majumdar S (2009) Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography. Osteoporos Int 20:2017-2024
22. Müller R, Rüegsegger P (1995) Three-dimensional finite element modelling of non-invasively assessed trabecular bone structures. Med Eng Phys 17:126-133
23. Van Rietbergen B, Weinans H, Huiskes R, Odgaard A (1995) A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. J Biomech 28:69-81
24. Chiu J, Robinovitch SN (1998) Prediction of upper extremity impact forces during falls on the outstretched hand. J Biomech 31:1169-1176
25. Hayes WC, Piazza SJ, Zysset PK (1991) Biomechanics of fracture risk prediction of the hip and spine by quantitative computed tomography. Radiol Clin North Am 29:1-18
26. Keaveny TM, Bouxsein ML (2008) Theoretical implications of the biomechanical fracture threshold. J Bone Miner Res 23:1541-1547
27. Vapnik V Estimation of dependences based on empirical data: Springer series in statistics. Springer, New York
28. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The WEKA data mining software: an update. SIGKDD Explorations 11
29. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273-297
30. Valyon J, Horváth G (2003) A weighted generalized LS-SVM. Period Polytech Electr Eng 47:229-251
31. Suykens JAK, De Brabanter J, Lukas L, Vandewalle J (2002) Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48:85-105
32. Harvey N, Dennison E, Cooper C, ASBMR (2009) Chapter 38. Epidemiology of osteoporotic fractures. In: Rosen JC (ed) Primer on the metabolic bone diseases and disorders of mineral metabolism, 7th edn. American Society for Bone and Mineral Research, Washington, pp 197-203