Literature DB >> 16059625

New QCT analysis approach shows the importance of fall orientation on femoral neck strength.

R Dana Carpenter1, Gary S Beaupré, Thomas F Lang, Eric S Orwoll, Dennis R Carter.   

Abstract

UNLABELLED: The influence of fall orientation on femur strength has important implications for understanding hip fracture risk. A new image analysis technique showed that the strength of the femoral neck in 37 males varied significantly along the neck axis and that bending strength varied by a factor of up to 2.8 for different loading directions.
INTRODUCTION: Osteoporosis is associated with decreased BMD and increased hip fracture risk, but it is unclear whether specific osteoporotic changes in the proximal femur lead to a more vulnerable overall structure. Nonhomogeneous beam theory, which is used to determine the mechanical response of composite structures to applied loads, can be used along with QCT to estimate the resistance of the femoral neck to axial forces and bending moments.
MATERIALS AND METHODS: The bending moment [My(theta)] sufficient to induce yielding within femoral neck sections was estimated for a range of bending orientations (theta) using in vivo QCT images of 37 male (mean age, 73 years; range, 65-87 years) femora. Volumetric BMD, axial stiffness, average moment at yield (M(y,avg)), maximum and minimum moment at yield (M(y,max) and M(y,min)), bone strength index (BSI), stress-strain index (SSI), and density-weighted moments of resistance (Rx and Ry) were also computed. Differences among the proximal, mid-, and distal neck regions were detected using ANOVA.
RESULTS: My(theta) was found to vary by as much as a factor of 2.8 for different bending directions. Axial stiffness, M(y,avg), M(y,max), M(y,min), BSI, and Rx differed significantly between all femoral neck regions, with an overall trend of increasing axial stiffness and bending strength when moving from the proximal neck to the distal neck. Mean axial stiffness increased 62% between the proximal and distal neck, and mean M(y,avg) increased 53% between the proximal and distal neck.
CONCLUSIONS: The results of this study show that femoral neck strength strongly depends on both fall orientation and location along the neck axis. Compressive yielding in the superior portion of the femoral neck is expected to initiate fracture in a fall to the side.

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Year:  2005        PMID: 16059625     DOI: 10.1359/JBMR.050510

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  20 in total

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Review 3.  Role of cortical bone in hip fracture.

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Journal:  Bonekey Rep       Date:  2017-01-13

4.  Effects of age and sex on the strength and cortical thickness of the femoral neck.

Authors:  R D Carpenter; S Sigurdsson; S Zhao; Y Lu; G Eiriksdottir; G Sigurdsson; B Y Jonsson; S Prevrhal; T B Harris; K Siggeirsdottir; V Guðnason; T F Lang
Journal:  Bone       Date:  2010-12-17       Impact factor: 4.398

5.  Interindividual variation in functionally adapted trait sets is established during postnatal growth and predictable based on bone robustness.

Authors:  Nirnimesh Pandey; Siddharth Bhola; Andrew Goldstone; Fred Chen; Jessica Chrzanowski; Carl J Terranova; Richard Ghillani; Karl J Jepsen
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

6.  Influence of physical activity and skeleton geometry on bone mass at the proximal femur in 10- to 12-year-old children--a longitudinal study.

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Review 7.  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

8.  Prediction of incident hip fracture risk by femur geometry variables measured by hip structural analysis in the study of osteoporotic fractures.

Authors:  Stephen Kaptoge; Thomas J Beck; Jonathan Reeve; Katie L Stone; Teresa A Hillier; Jane A Cauley; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2008-12       Impact factor: 6.741

9.  Identify fracture-critical regions inside the proximal femur using statistical parametric mapping.

Authors:  Wenjun Li; John Kornak; Tamara Harris; Joyce Keyak; Caixia Li; Ying Lu; Xiaoguang Cheng; Thomas Lang
Journal:  Bone       Date:  2008-12-24       Impact factor: 4.398

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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