Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34541
Title: Multi-factorial age estimation: A Bayesian approach combining dental and skeletal magnetic resonance imaging
Authors: De Tobel, Jannick
FIEUWS, Steffen 
Hillewig, Elke
Phlypo, Inès
van Wijk, Mayonne
de Haas, Michiel Bart
Verstraete, Koenraad Luc
POLITIS, Constantinus 
Thevissen, Patrick Werner
Issue Date: 2020
Publisher: ELSEVIER IRELAND LTD
Source: Forensic science international, 306 (Art N° 110054)
Abstract: Purpose: To study age estimation performance of combined magnetic resonance imaging (MRI) data of all four third molars, the left wrist and both clavicles in a reference population of females and males. To study the value of adding anthropometric and sexual maturation data. Materials and methods: Three Tesla MRI of the three anatomical sites was prospectively conducted from March 2012 to May 2017 in 14- to 26-year-old healthy Caucasian volunteers (160 females, 138 males). Development was assessed by allocating stages, anthropometric measurements were taken, and self-reported sexual maturation data were collected. All data was incorporated in a continuation-ratio model to estimate age, applying Bayes' rule to calculate point and interval predictions. Two performance aspects were studied: (1) accuracy and uncertainty of the point prediction, and (2) diagnostic ability to discern minors from adults (>= 18 years). Results: Combining information from different anatomical sites decreased the mean absolute error (MAE) compared to incorporating only one site (P < 0.0001). By contrast, adding anthropometric and sexual maturation data did not further improve MAE (P = 0.11). In females, combining all three anatomical sites rendered a MAE equal to 1.41 years, a mean width of the 95% prediction intervals of 5.91 years, 93% correctly classified adults and 91% correctly classified minors. In males, the corresponding results were 1.36 years, 5.49 years, 94%, and 90%, respectively. Conclusion: All aspects of age estimation improve when multi-factorial MRI data of the three anatomical sites are incorporated. Anthropometric and sexual maturation data do not seem to add relevant information. (C) 2019 Elsevier B.V. All rights reserved.
Keywords: Adolescent;Adult;Age determination by skeleton;Age determination by teeth;Magnetic resonance imaging;Age Determination by Skeleton;Age Determination by Teeth;Bayes Theorem;Clavicle;Female;Forensic Anthropology;Forensic Dentistry;Humans;Male;Molar, Third;Prospective Studies;Radius;Sampling Studies;Ulna;White People;Young Adult;Magnetic Resonance Imaging
Document URI: http://hdl.handle.net/1942/34541
ISSN: 0379-0738
e-ISSN: 1872-6283
DOI: 10.1016/j.forsciint.2019.110054
ISI #: WOS:000507941700016
Rights: 2019 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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