Literature DB >> 14730649

Predicting long bone loading from cross-sectional geometry.

Daniel E Lieberman1, John D Polk, Brigitte Demes.   

Abstract

Long bone loading histories are commonly evaluated using a beam model by calculating cross-sectional second moments of areas (SMAs). Without in vivo strain data, SMA analyses commonly make two explicit or implicit assumptions. First, while it has long been known that axial compression superimposed on bending shifts neutral axes away from cross-sectional area centroids, most analyses assume that cross-sectional properties calculated through the area centroid approximate cross-sectional strength. Second, the orientation of maximum bending rigidity is often assumed to reflect the orientation of peak or habitual bending forces the bone experiences. These assumptions are tested in sheep in which rosette strain gauges mounted at three locations around the tibia and metatarsal midshafts measured in vivo strains during treadmill running at 1.5 m/sec. Calculated normal strain distributions confirm that the neutral axis of bending does not run through the midshaft centroid. In these animals, orientations of the principal centroidal axes around which maximum SMAs (Imax) are calculated are not in the same planes in which the bones experienced bending. Cross-sectional properties calculated using centroidal axes have substantial differences in magnitude (up to 55%) but high correlations in pattern compared to cross-sectional properties calculated around experimentally determined neutral axes. Thus interindividual comparisons of cross-sectional properties calculated from centroidal axes may be useful in terms of pattern, but are subject to high errors in terms of absolute values. In addition, cross-sectional properties do not necessarily provide reliable data on the orientations of loads to which bones are subjected. Copyright 2003 Wiley-Liss, Inc.

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Year:  2004        PMID: 14730649     DOI: 10.1002/ajpa.10316

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  44 in total

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3.  Spatial variation in osteon population density at the human femoral midshaft: histomorphometric adaptations to habitual load environment.

Authors:  Timothy P Gocha; Amanda M Agnew
Journal:  J Anat       Date:  2015-12-28       Impact factor: 2.610

Review 4.  Role of Irisin on the bone-muscle functional unit.

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Journal:  Bonekey Rep       Date:  2015-12-23

5.  The relative importance of genetics and phenotypic plasticity in dictating bone morphology and mechanics in aged mice: evidence from an artificial selection experiment.

Authors:  Kevin M Middleton; Corinne E Shubin; Douglas C Moore; Patrick A Carter; Theodore Garland; Sharon M Swartz
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6.  Intra-skeletal vascular density in a bipedal hopping macropod with implications for analyses of rib histology.

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7.  Cancellous bone and theropod dinosaur locomotion. Part I-an examination of cancellous bone architecture in the hindlimb bones of theropods.

Authors:  Peter J Bishop; Scott A Hocknull; Christofer J Clemente; John R Hutchinson; Andrew A Farke; Belinda R Beck; Rod S Barrett; David G Lloyd
Journal:  PeerJ       Date:  2018-10-31       Impact factor: 2.984

8.  Periosteal thickness and cellularity in mid-diaphyseal cross-sections from human femora and tibiae of aged donors.

Authors:  Shannon R Moore; Stefan Milz; Melissa L Knothe Tate
Journal:  J Anat       Date:  2013-10-31       Impact factor: 2.610

9.  Analysis of osteon morphotype scoring schemes for interpreting load history: evaluation in the chimpanzee femur.

Authors:  John G Skedros; Casey J Kiser; Kendra E Keenan; Samuel C Thomas
Journal:  J Anat       Date:  2011-02-16       Impact factor: 2.610

10.  Role of Nonbehavioral Factors in Adjusting Long Bone Diaphyseal Structure in Free-ranging Pan troglodytes.

Authors:  K J Carlson; D R Sumner; M E Morbeck; T Nishida; A Yamanaka; C Boesch
Journal:  Int J Primatol       Date:  2008-10-18       Impact factor: 2.264

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