Literature DB >> 22443119

Accuracy of three age estimation methods in children by measurements of developing teeth and carpals and epiphyses of the ulna and radius.

Roberto Cameriere1, Stefano De Luca, Roberto Biagi, Mariano Cingolani, Giampietro Farronato, Luigi Ferrante.   

Abstract

The aim of this study was to compare the accuracy of three methods for age estimation in children: the measurements of open apices in tooth roots (T), the ratio between the total area of carpal bones and epiphyses of the ulna and radius (HW), and the combined method (THW). The sample consisted of 288 Caucasian Italian children (152 boys and 136 girls) aged between 5 and 15 years. Accuracy was determined as the difference between estimated age and chronological age, and accuracy was assessed by analyzing individuals' orthopantomograms and hand-wrist radiographs. Accuracies were 0.41 years for girls and 0.54 years for boys with the THW method; for the HW method, 1.00 years for girls and 0.92 years for boys; and for the T method, 0.62 years for girls and 0.71 years for boys. THW is the most accurate technique for age estimation in these children.
© 2012 American Academy of Forensic Sciences.

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Year:  2012        PMID: 22443119     DOI: 10.1111/j.1556-4029.2012.02120.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  10 in total

1.  Age estimation in children and young adolescents for forensic purposes using fourth cervical vertebra (C4).

Authors:  R Cameriere; A Giuliodori; M Zampi; I Galić; M Cingolani; F Pagliara; L Ferrante
Journal:  Int J Legal Med       Date:  2014-11-11       Impact factor: 2.686

2.  Accuracy of MRI skeletal age estimation for subjects 12-19. Potential use for subjects of unknown age.

Authors:  Serenella Serinelli; Valeria Panebianco; Milvia Martino; Sofia Battisti; Karina Rodacki; Enrico Marinelli; Fulvio Zaccagna; Richard C Semelka; Ernesto Tomei
Journal:  Int J Legal Med       Date:  2015-02-27       Impact factor: 2.686

3.  Radiographic evaluation of dental and cervical vertebral development for age estimation in a young Brazilian population

Authors:  A de Cassia Silva Azevedo; E Michel-Crosato; M G Haye Biazevic
Journal:  J Forensic Odontostomatol       Date:  2018-12-01

4.  Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults.

Authors:  Akiko Kumagai; Guy Willems; Ademir Franco; Patrick Thevissen
Journal:  Int J Legal Med       Date:  2018-08-11       Impact factor: 2.686

5.  Accuracy of scoring of the epiphyses at the knee joint (SKJ) for assessing legal adult age of 18 years.

Authors:  Ivan Galić; Frane Mihanović; Alice Giuliodori; Federica Conforti; Mariano Cingolani; Roberto Cameriere
Journal:  Int J Legal Med       Date:  2016-03-30       Impact factor: 2.686

6.  Forensic age estimation based on development of third molars: a staging technique for magnetic resonance imaging.

Authors:  J De Tobel; I Phlypo; S Fieuws; C Politis; K L Verstraete; P W Thevissen
Journal:  J Forensic Odontostomatol       Date:  2017-12-01

7.  Radiographic analysis of epiphyseal fusion at knee joint to assess likelihood of having attained 18 years of age.

Authors:  R Cameriere; M Cingolani; A Giuliodori; S De Luca; L Ferrante
Journal:  Int J Legal Med       Date:  2012-08-12       Impact factor: 2.686

8.  Age dependence of epiphyseal ossification of the distal radius in ultrasound diagnostics.

Authors:  S Schmidt; M Schiborr; H Pfeiffer; A Schmeling; R Schulz
Journal:  Int J Legal Med       Date:  2013-05-26       Impact factor: 2.686

9.  Accuracy of an equation for estimating age from mandibular third molar development in a Thai population.

Authors:  Karune Verochana; Sangsom Prapayasatok; Apirum Janhom; Phattaranant May Mahasantipiya; Narumanas Korwanich
Journal:  Imaging Sci Dent       Date:  2016-03-24

10.  A simple method for bone age assessment: the capitohamate planimetry.

Authors:  Jung-Ah Choi; Young Chul Kim; Seon Jeong Min; Eun Kyung Khil
Journal:  Eur Radiol       Date:  2018-01-30       Impact factor: 5.315

  10 in total

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