Literature DB >> 17977813

Load distribution in the healthy and osteoporotic human proximal femur during a fall to the side.

E Verhulp1, B van Rietbergen, R Huiskes.   

Abstract

Due to remodeling of bone architecture, an optimal structure is created that minimizes bone mass and maximizes strength. In the case of osteoporotic vertebral bodies, however, this process can create over-adaptation, making them vulnerable for non-habitual loads. In a recent study, micro-finite element models of a healthy and an osteoporotic human proximal femur were analyzed for the stance phase of gait. In the present study, tissue stresses and strains were calculated with the same proximal femur micro-finite element models for a simulated fall to the side onto the greater trochanter. Our specific objectives were to determine the contribution of trabecular bone to the strength of the proximal femurs for this non-habitual load. Further, we tested the hypothesis that the trabecular structure of osteoporotic bone is over-adapted to habitual loads. For that purpose, we calculated the load distributions and estimated the apparent yield and ultimate loads from linear analyses. Two different methods were used for this purpose, which resulted in very similar values, all in a realistic range. Distributions of maximal principal strain and effective strain in the entire model suggest that the contributions to bone strength of the trabecular and cortical structures are similar. However, a thick cortical shell is preferred over a dense trabecular core in the femoral neck. When the load applied to the osteoporotic femur was reduced to approximately 61% of the original value, strain distributions were created similar in value to those obtained for the healthy femur. Since a comparable reduction factor was found for habitual load cases, it was concluded that the osteoporotic femur was not 'over-adapted'.

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Year:  2007        PMID: 17977813     DOI: 10.1016/j.bone.2007.08.039

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  37 in total

1.  The Hounsfield value for cortical bone geometry in the proximal humerus--an in vitro study.

Authors:  Daren Lim Fat; Jim Kennedy; Rose Galvin; Fergal O'Brien; Frank Mc Grath; Hannan Mullett
Journal:  Skeletal Radiol       Date:  2011-09-20       Impact factor: 2.199

2.  Measurement of the mechanical properties of bone: a recent history.

Authors:  John Currey
Journal:  Clin Orthop Relat Res       Date:  2009-03-14       Impact factor: 4.176

3.  Biaxial normal strength behavior in the axial-transverse plane for human trabecular bone--effects of bone volume fraction, microarchitecture, and anisotropy.

Authors:  Arnav Sanyal; Tony M Keaveny
Journal:  J Biomech Eng       Date:  2013-12       Impact factor: 2.097

4.  Effects of hip abductor muscle forces and knee boundary conditions on femoral neck stresses during simulated falls.

Authors:  W J Choi; P A Cripton; S N Robinovitch
Journal:  Osteoporos Int       Date:  2014-07-16       Impact factor: 4.507

5.  Comparative high-resolution pQCT analysis of femoral neck indicates different bone mass distribution in osteoporosis and osteoarthritis.

Authors:  A Rubinacci; D Tresoldi; E Scalco; I Villa; F Adorni; G L Moro; G F Fraschini; G Rizzo
Journal:  Osteoporos Int       Date:  2011-09-24       Impact factor: 4.507

6.  Vertebral fragility and structural redundancy.

Authors:  Aaron J Fields; Shashank Nawathe; Senthil K Eswaran; Michael G Jekir; Mark F Adams; Panayiotis Papadopoulos; Tony M Keaveny
Journal:  J Bone Miner Res       Date:  2012-10       Impact factor: 6.741

7.  A comparison of DXA and CT based methods for estimating the strength of the femoral neck in post-menopausal women.

Authors:  M E Danielson; T J Beck; A S Karlamangla; G A Greendale; E J Atkinson; Y Lian; A S Khaled; T M Keaveny; D Kopperdahl; K Ruppert; S Greenspan; M Vuga; J A Cauley
Journal:  Osteoporos Int       Date:  2012-07-19       Impact factor: 4.507

8.  Guidelines for Dual Energy X-Ray Absorptiometry Analysis of Trabecular Bone-Rich Regions in Mice: Improved Precision, Accuracy, and Sensitivity for Assessing Longitudinal Bone Changes.

Authors:  Jiayu Shi; Soonchul Lee; Michael Uyeda; Justine Tanjaya; Jong Kil Kim; Hsin Chuan Pan; Patricia Reese; Louis Stodieck; Andy Lin; Kang Ting; Jin Hee Kwak; Chia Soo
Journal:  Tissue Eng Part C Methods       Date:  2016-04-15       Impact factor: 3.056

Review 9.  Targeted exercise against osteoporosis: A systematic review and meta-analysis for optimising bone strength throughout life.

Authors:  Riku Nikander; Harri Sievänen; Ari Heinonen; Robin M Daly; Kirsti Uusi-Rasi; Pekka Kannus
Journal:  BMC Med       Date:  2010-07-21       Impact factor: 8.775

10.  High resolution cortical bone thickness measurement from clinical CT data.

Authors:  G M Treece; A H Gee; P M Mayhew; K E S Poole
Journal:  Med Image Anal       Date:  2010-01-25       Impact factor: 8.545

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