Literature DB >> 26079219

Combining wrist age and third molars in forensic age estimation: how to calculate the joint age estimate and its error rate in age diagnostics.

Bianca Gelbrich1, Carolin Frerking1, Sandra Weiss2, Sebastian Schwerdt1, Angelika Stellzig-Eisenhauer2, Eve Tausche3, Götz Gelbrich4,5.   

Abstract

BACKGROUND: Forensic age estimation in living adolescents is based on several methods, e.g. the assessment of skeletal and dental maturation. Combination of several methods is mandatory, since age estimates from a single method are too imprecise due to biological variability. The correlation of the errors of the methods being combined must be known to calculate the precision of combined age estimates. AIM: To examine the correlation of the errors of the hand and the third molar method and to demonstrate how to calculate the combined age estimate. SUBJECTS AND METHODS: Clinical routine radiographs of the hand and dental panoramic images of 383 patients (aged 7.8-19.1 years, 56% female) were assessed.
RESULTS: Lack of correlation (r = -0.024, 95% CI = -0.124 to + 0.076, p = 0.64) allows calculating the combined age estimate as the weighted average of the estimates from hand bones and third molars. Combination improved the standard deviations of errors (hand = 0.97, teeth = 1.35 years) to 0.79 years.
CONCLUSION: Uncorrelated errors of the age estimates obtained from both methods allow straightforward determination of the common estimate and its variance. This is also possible when reference data for the hand and the third molar method are established independently from each other, using different samples.

Entities:  

Keywords:  Age estimation error; combined methods; dental panoramic radiograph; forensic age estimation; hand radiograph

Mesh:

Year:  2015        PMID: 26079219     DOI: 10.3109/03014460.2015.1046487

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  6 in total

1.  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

2.  Bone age for chronological age determination - statement of the European Society of Paediatric Radiology musculoskeletal task force group.

Authors:  Lil-Sofie Ording Müller; Amaka Offiah; Catherine Adamsbaum; Ignasi Barber; Pier Luigi Di Paolo; Paul Humphries; Susan Shelmerdine; Laura Tanturri De Horatio; Paolo Toma; Catherine Treguier; Karen Rosendahl
Journal:  Pediatr Radiol       Date:  2019-03-26

3.  Are cervical vertebrae suitable for age estimation?

Authors:  B Gelbrich; M Fischer; A Stellzig-Eisenhauer; G Gelbrich
Journal:  J Forensic Odontostomatol       Date:  2017-12-01

4.  Advancing estimation of chronological age by utilizing available evidence based on two radiographical methods.

Authors:  Øyvind Bleka; Torbjørn Wisløff; Pål Skage Dahlberg; Veslemøy Rolseth; Thore Egeland
Journal:  Int J Legal Med       Date:  2018-05-07       Impact factor: 2.686

5.  Comparisons between skeletal and dental age assessment in unaccompanied asylum seeking children.

Authors:  S I Kvaal; M Haugen
Journal:  J Forensic Odontostomatol       Date:  2017-12-01

6.  Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge.

Authors:  Ian Pan; Hans Henrik Thodberg; Safwan S Halabi; Jayashree Kalpathy-Cramer; David B Larson
Journal:  Radiol Artif Intell       Date:  2019-11-20
  6 in total

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