Should we consider the sex when estimating bone age from hand bone biometrics?


Journal

Morphologie : bulletin de l'Association des anatomistes
ISSN: 1286-0115
Titre abrégé: Morphologie
Pays: France
ID NLM: 9814314

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 12 05 2023
revised: 21 06 2023
accepted: 22 06 2023
medline: 20 11 2023
pubmed: 6 8 2023
entrez: 5 8 2023
Statut: ppublish

Résumé

Recently, it was proposed to estimate age from the biometric information of hand bones. We observed that these estimations became less precise as children get older, especially from the age of 13-15 years. This study aimed to evaluate the influence of considering sex for age estimation based on hand bones biometrics. The study sample consisted of metacarpals and proximal phalanges measurements collected on 1003 medical images performed at Nancy and Marseille Hospitals of individuals aged under 21 years. This sample was divided into two subgroups delineated by the age of 13, as it is a relevant legal threshold for most European countries. First, the influence of sex on the hand bones biometrics and on the estimated age was evaluated. Then, based on these results, new sex-specific age estimation formulas were constructed from linear models and their precision was assessed using residual analysis, in comparison with previous global formulas. An influence of sex was only highlighted from the age of 13 and for the total study sample. Thus, new sex-specific age estimation formulas were built for the [1-21] global sample and the [13-21] subsample. Even though the differences with the previous formulas were minor, age was more accurately estimated when sex was considered. Considering sex in age estimation is relevant when relying on hand bone biometrics. A new tool was proposed to select the most appropriate age estimation formula, based on the discriminant analysis result and the a priori knowledge of the sex.

Sections du résumé

BACKGROUND BACKGROUND
Recently, it was proposed to estimate age from the biometric information of hand bones. We observed that these estimations became less precise as children get older, especially from the age of 13-15 years.
OBJECTIVE OBJECTIVE
This study aimed to evaluate the influence of considering sex for age estimation based on hand bones biometrics.
MATERIALS AND METHODS METHODS
The study sample consisted of metacarpals and proximal phalanges measurements collected on 1003 medical images performed at Nancy and Marseille Hospitals of individuals aged under 21 years. This sample was divided into two subgroups delineated by the age of 13, as it is a relevant legal threshold for most European countries. First, the influence of sex on the hand bones biometrics and on the estimated age was evaluated. Then, based on these results, new sex-specific age estimation formulas were constructed from linear models and their precision was assessed using residual analysis, in comparison with previous global formulas.
RESULTS RESULTS
An influence of sex was only highlighted from the age of 13 and for the total study sample. Thus, new sex-specific age estimation formulas were built for the [1-21] global sample and the [13-21] subsample. Even though the differences with the previous formulas were minor, age was more accurately estimated when sex was considered.
CONCLUSION CONCLUSIONS
Considering sex in age estimation is relevant when relying on hand bone biometrics. A new tool was proposed to select the most appropriate age estimation formula, based on the discriminant analysis result and the a priori knowledge of the sex.

Identifiants

pubmed: 37543030
pii: S1286-0115(23)00068-1
doi: 10.1016/j.morpho.2023.06.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100608

Informations de copyright

Copyright © 2023 Elsevier Masson SAS. All rights reserved.

Auteurs

F Remy (F)

Aix-Marseille University, University Gustave-Eiffel, LBA, Marseille, France. Electronic address: floriane.remy.ymd@gmail.com.

K Aninditya (K)

Aix Marseille University, CNRS, EFS, ADES, Marseille, France.

B Saliba-Serre (B)

Aix Marseille University, CNRS, EFS, ADES, Marseille, France.

L Lalys (L)

Paris-Cité University, CNRS, BABEL, Paris, France.

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