Stature estimation in a contemporary Japanese population based on clavicular measurements using multidetector computed tomography.

Abstract

The aims of this study was to assess the correlation between stature and clavicular measurements in a contemporary Japanese population using three-dimensional (3D) computed tomographic (CT) images, and to establish regression equations for predicting stature. A total of 249 cadavers (131 males, 118 females) underwent postmortem CT scanning and subsequent forensic autopsy between October 2011 and May 2016 in our department. Four clavicular variables (linear distances between the superior margins of the left and right sternal facets to the anterior points of the left and right acromial ends and between the superior margins of the left and right sternal facets to the left and right conoid tubercles) were measured using 3D CT reconstructed images that extracted only bone data. The correlations between stature and each of the clavicular measurements were assessed with Pearson product-moment correlation coefficients. These clavicular measurements correlated significantly with stature in both sexes. The lowest standard error of estimation value in all, male, and female subjects was 3.62cm (r2=0.836), 3.55cm (r2=0.566), and 3.43cm (r2=0.663), respectively. In conclusion, clavicular measurements obtained from 3D CT images may be useful for stature estimation of Japanese individuals, particularly in cases where better predictors, such as long bones, are not available.

DOI: 10.1016/j.forsciint.2017.02.037

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Cite this paper

@article{Torimitsu2017StatureEI, title={Stature estimation in a contemporary Japanese population based on clavicular measurements using multidetector computed tomography.}, author={Suguru Torimitsu and Yohsuke Makino and Hisako Saitoh and Ayaka Sakuma and Namiko Ishii and Daisuke Yajima and Go Inokuchi and Ayumi Motomura and Fumiko Chiba and R. Yamaguchi and Mari Hashimoto and Yumi Hoshioka and Hirotatro Iwase}, journal={Forensic science international}, year={2017}, volume={275}, pages={316.e1-316.e6} }