Forensic age estimation by morphometric analysis of the manubrium from 3D MR images

Naira P Martínez Vera; Johannes Höller; Thomas Widek; Bernhard Neumayer; Thomas Ehammer; Martin Urschler

doi:10.1016/j.forsciint.2017.05.005

Forensic age estimation by morphometric analysis of the manubrium from 3D MR images

Forensic Sci Int. 2017 Aug:277:21-29. doi: 10.1016/j.forsciint.2017.05.005. Epub 2017 May 12.

Authors

Naira P Martínez Vera¹, Johannes Höller², Thomas Widek², Bernhard Neumayer³, Thomas Ehammer², Martin Urschler⁴

Affiliations

¹ Ludwig Boltzmann Institute for Clinical Forensic Imaging, Universitätsplatz 4, 8010 Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: naira.martinez-vera@cfi.lbg.ac.at.
² Ludwig Boltzmann Institute for Clinical Forensic Imaging, Universitätsplatz 4, 8010 Graz, Austria.
³ Ludwig Boltzmann Institute for Clinical Forensic Imaging, Universitätsplatz 4, 8010 Graz, Austria; BioTechMed-Graz, Graz, Austria.
⁴ Ludwig Boltzmann Institute for Clinical Forensic Imaging, Universitätsplatz 4, 8010 Graz, Austria; BioTechMed-Graz, Graz, Austria; Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, 8010 Graz, Austria. Electronic address: martin.urschler@cfi.lbg.ac.at.

PMID: 28550762
DOI: 10.1016/j.forsciint.2017.05.005

Abstract

Forensic age estimation research based on skeletal structures focuses on patterns of growth and development using different bones. In this work, our aim was to study growth-related evolution of the manubrium in living adolescents and young adults using magnetic resonance imaging (MRI), which is an image acquisition modality that does not involve ionizing radiation. In a first step, individual manubrium and subject features were correlated with age, which confirmed a statistically significant change of manubrium volume (M_vol:p<0.01, R²¯=0.50) and surface area (M_sur:p<0.01, R²¯=0.53) for the studied age range. Additionally, shapes of the manubria were for the first time investigated using principal component analysis. The decomposition of the data in principal components allowed to analyse the contribution of each component to total shape variation. With 13 principal components, ∼96% of shape variation could be described (M_shp:p<0.01, R²¯=0.60). Multiple linear regression analysis modelled the relationship between the statistically best correlated variables and age. Models including manubrium shape, volume or surface area divided by the height of the subject (Y∼M_shpM_sur/S_h:p<0.01, R²¯=0.71; Y∼M_shpM_vol/S_h:p<0.01, R²¯=0.72) presented a standard error of estimate of two years. In order to estimate the accuracy of these two manubrium-based age estimation models, cross validation experiments predicting age on held-out test sets were performed. Median absolute difference of predicted and known chronological age was 1.18 years for the best performing model (Y∼M_shpM_sur/S_h:p<0.01, R_p²=0.67). In conclusion, despite limitations in determining legal majority age, manubrium morphometry analysis presented statistically significant results for skeletal age estimation, which indicates that this bone structure may be considered as a new candidate in multi-factorial MRI-based age estimation.

Keywords: Forensic age estimation; MRI; Manubrium; Morphometry; Principal component analysis.

MeSH terms

Adolescent
Adult
Age Determination by Skeleton / methods*
Forensic Anthropology
Humans
Imaging, Three-Dimensional
Linear Models
Magnetic Resonance Imaging
Male
Manubrium / diagnostic imaging*
Manubrium / growth & development*
Principal Component Analysis
Retrospective Studies
Young Adult