Age estimation from the biometric information of hand bones: Development of new formulas

Autor: Laurent Martrille, Bérengère Saliba-Serre, Loïc Lalys, Kathia Chaumoitre, Floriane Remy
Přispěvatelé: Laboratoire de Biomécanique Appliquée (LBA UMR T24), Aix Marseille Université (AMU)-Université Gustave Eiffel, Anthropologie bio-culturelle, Droit, Ethique et Santé (ADES), Aix Marseille Université (AMU)-EFS ALPES MEDITERRANEE-Centre National de la Recherche Scientifique (CNRS), Service d’imagerie médicale [Hôpital Nord - APHM], Hôpital Nord [CHU - APHM], Service de Médecine Légale [Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Lapeyronie, Assistance Publique - Hôpitaux de Marseille (APHM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Biometry
Biometrics
Adolescent
Age prediction
Sample (material)
[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropology
Context (language use)
01 natural sciences
Pathology and Forensic Medicine
03 medical and health sciences
Finger Phalanges
Young Adult
Hand bones
0302 clinical medicine
[SHS.DROIT]Humanities and Social Sciences/Law
Age Determination by Skeleton
Statistics
[SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
Humans
030216 legal & forensic medicine
Child
ComputingMilieux_MISCELLANEOUS
Mathematics
010401 analytical chemistry
Linear model
Discriminant Analysis
Infant
Bone age
Skeletal age
Quadratic classifier
Metacarpal Bones
0104 chemical sciences
Radiography
Age estimation
Child
Preschool
Linear Models
Forensic Anthropology
Law
Zdroj: Forensic Science International
Forensic Science International, Elsevier, 2021, 322, pp.110777. ⟨10.1016/j.forsciint.2021.110777⟩
Forensic Science International, 2021, 322, pp.110777. ⟨10.1016/j.forsciint.2021.110777⟩
ISSN: 0379-0738
Popis: Introduction In the judicial context of the age estimation of living individuals, a new method was recently proposed, based on the collection of biometric information on hand bones radiographs. The aim of this study was to apply this method to a large French sample to provide new tools for age estimation Materials and methods The study sample consisted of metacarpals and proximal phalanges measurements of 1003 individuals aged less than 21 years. This sample was divided into two subgroups 1–12 and 13–21 years as the age of 13 is a relevant legal threshold for most European countries. A quadratic discriminant analysis was performed to identify the group to which an individual was most likely to belong. Age estimation formulas were also constructed from linear models: for each subgroup and the total sample. Results The belonging of an individual to the 1–12 or 13–21 subgroup was determined with a correct classification rate of 89.8%. Age estimation formulas became less precise with age, with a mean absolute error ranging between 11 and 21 months. Conclusion We proposed a two-step procedure for age estimation: firstly, the identification of the age group to which the individual is most likely to belong, and secondly, the age estimation of this individual by applying the appropriate formula.
Databáze: OpenAIRE
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