Literature DB >> 24123941

Muscle area estimation from cortical bone.

Astrid Slizewski1, Eckhard Schönau, Colin Shaw, Katerina Harvati.   

Abstract

This article investigates the relationship between the cortical bone of the radius and the muscle area of the forearm. The aim of this study was to develop a method for muscle area estimation from cortical bone area at 65% of radius length where the muscle area at the forearm is largest. Muscle area and cortical area were measured directly in vivo by peripheral Quantitative Computed Tomography (pQCT). We found significant correlations between muscle area and cortical area (r = 0.881) in the forearm that are in line with previous studies. We have set up a regression model by testing relevant parameters such as age, sex, forearm length, and stature that were all highly correlated to muscle area. The influence of age and sex on the proportion of muscle area to cortical area is strong and potentially related to the effects of testosterone and estrogen on the muscle-bone-unit. Muscle area estimation from cortical bone is possible with a Percent Standard Error of Estimate (%SEE) ranging from 12.03% to 14.83%, depending on the parameters available and the age and sex of the individual. Muscle area estimation from cortical bone can provide new information for the study of skeletal and/or fossil human remains.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  cortical bone; functional bone-tissue adaptation; muscle-bone-unit; pQCT; soft tissue reconstruction

Mesh:

Year:  2013        PMID: 24123941     DOI: 10.1002/ar.22788

Source DB:  PubMed          Journal:  Anat Rec (Hoboken)        ISSN: 1932-8486            Impact factor:   2.064


  2 in total

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Authors:  Christian M Girgis; Nancy Mokbel; Douglas J Digirolamo
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

2.  Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.

Authors:  Emma Pomeroy; Alison Macintosh; Jonathan C K Wells; Tim J Cole; Jay T Stock
Journal:  Am J Phys Anthropol       Date:  2018-01-18       Impact factor: 2.868

  2 in total

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