Literature DB >> 21470234

Age estimation and the developing third molar tooth: an analysis of an Australian population using computed tomography.

Richard B Bassed1, C Briggs, Olaf H Drummer.   

Abstract

The third molar tooth is one of the few anatomical sites available for age estimation of unknown age individuals in the late adolescent years. Computed tomography (CT) images were assessed in an Australian population aged from 15 to 25 years for development trends, particularly concerning age estimation at the child/adult transition point of 18 years. The CT images were also compared to conventional radiographs to assess the developmental scoring agreement between the two and it was found that agreement of Demirjian scores between the two imaging modalities was excellent. The relatively wide age ranges (mean ± 2SD) indicate that the third molar is not a precise tool for age estimation (age ranges of 3-8 years) but is, however, a useful tool for discriminating the adult/child transition age of 18 years. In the current study 100% of females and 96% of males with completed roots were over 18 years of age.
© 2011 American Academy of Forensic Sciences.

Entities:  

Mesh:

Year:  2011        PMID: 21470234     DOI: 10.1111/j.1556-4029.2011.01769.x

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


  12 in total

1.  The incidence of asymmetrical left/right skeletal and dental development in an Australian population and the effect of this on forensic age estimations.

Authors:  Richard B Bassed; Christopher Briggs; Olaf H Drummer
Journal:  Int J Legal Med       Date:  2011-09-23       Impact factor: 2.686

2.  Age estimation and the medial clavicular epiphysis: analysis of the age of majority in an Australian population using computed tomography.

Authors:  Richard B Bassed; Olaf H Drummer; Christopher Briggs; Aurora Valenzuela
Journal:  Forensic Sci Med Pathol       Date:  2010-11-05       Impact factor: 2.007

3.  Chronological course of third molar eruption in a Portuguese population.

Authors:  Inês Morais Caldas; José Luís Carneiro; Alexandra Teixeira; Eduarda Matos; Américo Afonso; Teresa Magalhães
Journal:  Int J Legal Med       Date:  2011-07-14       Impact factor: 2.686

4.  Radiological age estimation: based on third molar mineralization and eruption in Turkish children and young adults.

Authors:  Beytullah Karadayi; Ahsen Kaya; Melek Ozlem Kolusayın; Sükriye Karadayi; Hüseyin Afsin; Abdi Ozaslan
Journal:  Int J Legal Med       Date:  2012-09-26       Impact factor: 2.686

5.  Advances in forensic age estimation.

Authors:  Richard B Bassed
Journal:  Forensic Sci Med Pathol       Date:  2012-06       Impact factor: 2.007

Review 6.  CT and MR imaging used in age estimation: a systematic review.

Authors:  M B Bjørk; S I Kvaal
Journal:  J Forensic Odontostomatol       Date:  2018-05-30

7.  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

8.  Radiographic evaluation of third molar development in 6- to 24-year-olds.

Authors:  Yun-Hoa Jung; Bong-Hae Cho
Journal:  Imaging Sci Dent       Date:  2014-09-17

9.  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

10.  Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images.

Authors:  Yu-Cheng Guo; Mengqi Han; Yuting Chi; Hong Long; Dong Zhang; Jing Yang; Yang Yang; Teng Chen; Shaoyi Du
Journal:  Int J Legal Med       Date:  2021-03-04       Impact factor: 2.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.