Literature DB >> 30386872

BioAlder: a tool for assessing chronological age based on two radiological methods.

Øyvind Bleka1, Veslemøy Rolseth2, Pål Skage Dahlberg2, Antoine Saadé3, Marianne Saadé4, Liliana Bachs2.   

Abstract

We have created the tool BioAlder as an age prediction model based on the systems Greulich and Pyle (hand) and the Demirjian's grading of the third molar tooth. The model compiles information from studies representing a total of 17,151 individuals from several parts of the world. The model offers a solution where issues as group-wise data format and age mimicry bias are bypassed. The model also provides a solution for combining the two grading systems, hand and tooth, to one combined age prediction result assuming independency. We have tested our model of age prediction and the independency assumption on a separate data set from Lebanon with 254 young individuals. The prediction intervals of BioAlder covered most of the data points; however, we observed some outliers. Our analyses indicate at least a weak dependency between the two methods.

Keywords:  Age estimation; Conditional dependency; Demirjian’s; Greulich and Pyle

Mesh:

Year:  2018        PMID: 30386872     DOI: 10.1007/s00414-018-1959-5

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  2 in total

1.  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

2.  Forensic age assessment of living adolescents and young adults at the Institute of Legal Medicine, Münster, from 2009 to 2018.

Authors:  M Hagen; S Schmidt; R Schulz; V Vieth; C Ottow; A Olze; H Pfeiffer; A Schmeling
Journal:  Int J Legal Med       Date:  2020-01-02       Impact factor: 2.686

  2 in total

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