Literature DB >> 27757577

Automated determination of bone age from hand X-rays at the end of puberty and its applicability for age estimation.

Hans Henrik Thodberg1, Rick R van Rijn2, Oskar G Jenni3, David D Martin4.   

Abstract

The BoneXpert method for automated determination of bone age from hand X-rays was introduced in 2009, covering the Greulich-Pyle bone age ranges up to 17 years for boys and 15 years for girls. This paper presents an extension of the method up to bone age 19 years for boys and 18 years for girls. The extension was developed based on images from the First Zurich Longitudinal Study of 231 healthy children born in 1954-1956 and followed with annual X-rays of both hands until adulthood. The method was validated on two cross-sectional studies of healthy children from Rotterdam and Los Angeles. We found root mean square deviations from manual rating of 0.69 and 0.45 years in these two studies for boys in the bone age range 17-19 years. For girls, the deviations were 0.75 and 0.59 years, respectively, in the bone age range 15-18 years. It is shown how the automated bone age method can be applied to infer the age probability distribution for healthy Caucasian European males. Considering a population with age 15.0-21.0 years, the method can be used to decide whether the subject is above 18 years with a false positive rate (children classified as adults) of 10 % (95% confidence interval = 7-13%) and a false negative rate of 30 % (adults classified as children). To apply this method in other ethnicities will require a study of the average of "bone age - age" at the end of puberty, i.e. how much this population is shifted relative to the Greulich-Pyle standard.

Entities:  

Keywords:  Age assessment; Asylum seekers; Bayes; Bone age; Hand radiographs

Mesh:

Year:  2016        PMID: 27757577     DOI: 10.1007/s00414-016-1471-8

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


  15 in total

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2.  Skeletal age in youth soccer players: implication for age verification.

Authors:  Robert M Malina; Maria Eugenia Peña Reyes; Antonio J Figueiredo; Manuel J Coelho E Silva; Luis Horta; Rui Miller; Manuel Chamorro; Luis Serratosa; Francisco Morate
Journal:  Clin J Sport Med       Date:  2010-11       Impact factor: 3.638

3.  What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents.

Authors:  Martin Urschler; Sabine Grassegger; Darko Štern
Journal:  Ann Hum Biol       Date:  2015-08-27       Impact factor: 1.533

4.  Criteria for age estimation in living individuals.

Authors:  A Schmeling; C Grundmann; A Fuhrmann; H-J Kaatsch; B Knell; F Ramsthaler; W Reisinger; T Riepert; S Ritz-Timme; F W Rösing; K Rötzscher; G Geserick
Journal:  Int J Legal Med       Date:  2008-06-12       Impact factor: 2.686

5.  Clinical application of automated Greulich-Pyle bone age determination in children with short stature.

Authors:  David D Martin; Dorothee Deusch; Roland Schweizer; Gerhard Binder; Hans Henrik Thodberg; Michael B Ranke
Journal:  Pediatr Radiol       Date:  2009-03-31

6.  The use of metallic implants in the study of facial growth in children: method and application.

Authors:  A Björk
Journal:  Am J Phys Anthropol       Date:  1968-09       Impact factor: 2.868

7.  Validation and reference values of automated bone age determination for four ethnicities.

Authors:  Hans Henrik Thodberg; Lars Sävendahl
Journal:  Acad Radiol       Date:  2010-08-06       Impact factor: 3.173

8.  Human dental age estimation using third molar developmental stages: does a Bayesian approach outperform regression models to discriminate between juveniles and adults?

Authors:  P W Thevissen; S Fieuws; G Willems
Journal:  Int J Legal Med       Date:  2009-02-24       Impact factor: 2.686

9.  Prediction of adult height based on automated determination of bone age.

Authors:  Hans Henrik Thodberg; Oskar G Jenni; Jon Caflisch; Michael B Ranke; David D Martin
Journal:  J Clin Endocrinol Metab       Date:  2009-11-19       Impact factor: 5.958

10.  Automated determination of bone age in a modern chinese population.

Authors:  Shao-Yan Zhang; Gang Liu; Chen-Guo Ma; Yi-San Han; Xun-Zhang Shen; Rui-Long Xu; Hans Henrik Thodberg
Journal:  ISRN Radiol       Date:  2013-02-25
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  8 in total

1.  Comparison of reliability of magnetic resonance imaging using cartilage and T1-weighted sequences in the assessment of the closure of the growth plates at the knee.

Authors:  Ola Ft Kvist; Ana Luiza Dallora; Ola Nilsson; Peter Anderberg; Johan Sanmartin Berglund; Carl-Erik Flodmark; Sandra Diaz
Journal:  Acta Radiol Open       Date:  2020-09-30

2.  Accuracy and self-validation of automated bone age determination.

Authors:  D D Martin; A D Calder; M B Ranke; G Binder; H H Thodberg
Journal:  Sci Rep       Date:  2022-04-16       Impact factor: 4.996

3.  Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development.

Authors:  Fengdan Wang; Xiao Gu; Shi Chen; Yongliang Liu; Qing Shen; Hui Pan; Lei Shi; Zhengyu Jin
Journal:  PeerJ       Date:  2020-04-01       Impact factor: 2.984

4.  Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method.

Authors:  Christian Booz; Ibrahim Yel; Julian L Wichmann; Sabine Boettger; Ahmed Al Kamali; Moritz H Albrecht; Simon S Martin; Lukas Lenga; Nicole A Huizinga; Tommaso D'Angelo; Marco Cavallaro; Thomas J Vogl; Boris Bodelle
Journal:  Eur Radiol Exp       Date:  2020-01-28

5.  Traditional and New Methods of Bone Age Assessment-An Overview

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Journal:  J Clin Res Pediatr Endocrinol       Date:  2020-10-26

Review 6.  Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature

Authors:  José I. Labarta; Michael B. Ranke; Mohamad Maghnie; David Martin; Laura Guazzarotti; Roland Pfäffle; Ekaterina Koledova; Jan M. Wit
Journal:  J Clin Res Pediatr Endocrinol       Date:  2020-10-02

7.  Estimation of the age of majority through radiographic evaluation of the third molar maturation degree.

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Journal:  Med Oral Patol Oral Cir Bucal       Date:  2020-05-01

8.  Applicability of two commonly used bone age assessment methods to twenty-first century UK children.

Authors:  Khalaf Alshamrani; Amaka C Offiah
Journal:  Eur Radiol       Date:  2019-08-01       Impact factor: 5.315

  8 in total

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