A new analytical cut-off point for determining 18 years of age using MRI on medial clavicular epiphysis.


Journal

Legal medicine (Tokyo, Japan)
ISSN: 1873-4162
Titre abrégé: Leg Med (Tokyo)
Pays: Ireland
ID NLM: 100889186

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 29 07 2021
revised: 19 12 2021
accepted: 24 12 2021
pubmed: 4 1 2022
medline: 19 1 2022
entrez: 3 1 2022
Statut: ppublish

Résumé

Evaluation of the ossification of the medial clavicular epiphysis plays a key role in forensic age estimation. The purpose of the present study was to assess a new numerical cut-off at the age of 18 years, taking into consideration Magnetic Resonance (MR) images of the medial clavicular epiphysis. We analyzed 163 MR scans of Italian subjects aged between 14 and 25 years. Using the data obtained we calculated two ratios: REM-1 (ratio between the length of the whole epiphysis and the length of the metaphysis) and REM-2 (ratio between the length of epiphyseal-metaphyseal fusion and the length of the metaphysis). In 68 out of 163 cases it was not possible to measure REM-2. The reproducibility was demonstrated using the Intraclass Correlation Coefficient (ICC) (Cronbach's alpha > 0.80). REM-1 and REM-2 were compared in each category of age (adult and minor) by the Wilcoxon signed-rank test. The cut-off points for measurements of REM-1 and REM-2 were determined by logistic regression. For REM-1, the cut-off scores were 0.83 for all individuals (accuracy = 94.77%) and males (accuracy = 96.05%), and 0.86 for females (accuracy = 92.30%). For REM-2, the cut-off values were 0.40 for all individuals and males (accuracy = 100.00%), and 0.41 for females (accuracy = 100.00%). Finally, receiver operating characteristic (ROC) curves for age classification based on REM-1 and REM-2 were constructed, showing that REM-2 had the highest discriminative power. Thus, a new cut-off model for predicting the age of majority has been introduced, conducting a quantitative analysis thanks to the use of a high-resolution imaging tool.

Identifiants

pubmed: 34979460
pii: S1344-6223(21)00174-7
doi: 10.1016/j.legalmed.2021.102010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102010

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Roberto Scendoni (R)

Department of Law, Institute of Legal Medicine (AgEstimation Project), University of Macerata, Macerata, Italy. Electronic address: r.scendoni@unimc.it.

Isabella Lima Arrais Ribeiro (ILA)

Postgraduate Program in Dentistry, Federal University of Paraíba, Campus I, João Pessoa, PB 58051900, Brazil.

Mariano Cingolani (M)

Department of Law, Institute of Legal Medicine (AgEstimation Project), University of Macerata, Macerata, Italy.

Andrea Giovagnoni (A)

Department of Radiological Sciences, Ospedali Riuniti, Marche Polytechnic University, Ancona, Italy.

Martina Curzi (M)

Department of Radiological Sciences, Ospedali Riuniti, Marche Polytechnic University, Ancona, Italy.

Piergiorgio Fedeli (P)

School of Law, Legal Medicine, University of Camerino, Camerino, Italy.

Roberto Cameriere (R)

Department of Forensic Medicine, IM Sechenov First Moscow State Medical University, Moscow, Russian Federation; AgEstimation Project, Department of Forensic Medicine, University of Molise, Italy.

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Classifications MeSH