Literature DB >> 19333590

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

David D Martin1, Dorothee Deusch, Roland Schweizer, Gerhard Binder, Hans Henrik Thodberg, Michael B Ranke.   

Abstract

BACKGROUND: Bone age (BA) rating is time consuming and highly rater dependent.
OBJECTIVE: To adjust the fully automated BoneXpert method to agree with the manual Greulich and Pyle BA (GP BA) ratings of five raters and to validate the accuracy for short children.
MATERIALS AND METHODS: A total of 1,097 left hand radiographs from 188 children with short stature, including growth hormone deficiency (44%) and Turner syndrome (29%) were evaluated.
RESULTS: BoneXpert rejected 14 of the 1,097 radiographs, and deviated by more than 1.9 years from the operator BA for 27 radiographs. These were rerated blindly by four operators. Of the 27 new ratings, 26 were within 1.9 years of the automatic BA values. The root mean square deviation between manual and automatic rating was 0.72 years (95% CI 0.69-0.75).
CONCLUSION: BoneXpert's ability to process 99% of images automatically without errors, and to obtain good agreement with an operator suggests that the method is efficient and reliable for short children.

Entities:  

Mesh:

Year:  2009        PMID: 19333590     DOI: 10.1007/s00247-008-1114-4

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  6 in total

1.  The BoneXpert method for automated determination of skeletal maturity.

Authors:  Hans Henrik Thodberg; Sven Kreiborg; Anders Juul; Karen Damgaard Pedersen
Journal:  IEEE Trans Med Imaging       Date:  2009-01       Impact factor: 10.048

2.  A computerized image analysis system for estimating Tanner-Whitehouse 2 bone age.

Authors:  J M Tanner; R D Gibbons
Journal:  Horm Res       Date:  1994

3.  Computer-assisted bone age assessment based on features automatically extracted from a hand radiograph.

Authors:  E Pietka
Journal:  Comput Med Imaging Graph       Date:  1995 May-Jun       Impact factor: 4.790

4.  Effect of knowledge of chronologic age on the variability of pediatric bone age determined using the Greulich and Pyle standards.

Authors:  M J Berst; L Dolan; M M Bogdanowicz; M A Stevens; S Chow; E A Brandser
Journal:  AJR Am J Roentgenol       Date:  2001-02       Impact factor: 3.959

5.  Comparison of Tanner-Whitehouse and Greulich-Pyle methods in a large scale Danish Survey.

Authors:  E Andersen
Journal:  Am J Phys Anthropol       Date:  1971-11       Impact factor: 2.868

6.  Automatic determination of Greulich and Pyle bone age in healthy Dutch children.

Authors:  Rick R van Rijn; Maarten H Lequin; Hans Henrik Thodberg
Journal:  Pediatr Radiol       Date:  2009-01-06
  6 in total
  26 in total

1.  Comparison of bone age readings by pediatric endocrinologists and pediatric radiologists using two bone age atlases.

Authors:  Paul Kaplowitz; Shylaja Srinivasan; Jianping He; Robert McCarter; Mohammed Reza Hayeri; Raymond Sze
Journal:  Pediatr Radiol       Date:  2010-12-16

2.  Validation of automated Greulich-Pyle bone age determination in children with chronic renal failure?

Authors:  Saritha Ranabothu; Frederick J Kaskel
Journal:  Pediatr Nephrol       Date:  2015-04-11       Impact factor: 3.714

3.  Automated Greulich-Pyle bone age determination in children with chronic kidney disease.

Authors:  Eva Nüsken; Darja Imschinetzki; Kai-Dietrich Nüsken; Friederike Körber; Hans-Joachim Mentzel; Joachim Peitz; Martin Bald; Rainer Büscher; Ulrike John; Günter Klaus; Martin Konrad; Lars Pape; Burkhard Tönshoff; David Martin; Lutz Weber; Jörg Dötsch
Journal:  Pediatr Nephrol       Date:  2015-03-19       Impact factor: 3.714

4.  Metacarpal thickness, width, length and medullary diameter in children--reference curves from the First Zürich Longitudinal Study.

Authors:  D D Martin; C Heckmann; O G Jenni; M B Ranke; G Binder; H H Thodberg
Journal:  Osteoporos Int       Date:  2010-10-15       Impact factor: 4.507

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

Authors:  Hans Henrik Thodberg; Rick R van Rijn; Oskar G Jenni; David D Martin
Journal:  Int J Legal Med       Date:  2016-10-18       Impact factor: 2.686

6.  Validation of automatic bone age determination in children with congenital adrenal hyperplasia.

Authors:  David D Martin; Katharina Heil; Conrad Heckmann; Angelika Zierl; Jürgen Schaefer; Michael B Ranke; Gerhard Binder
Journal:  Pediatr Radiol       Date:  2013-10-05

7.  Validation of adult height prediction based on automated bone age determination in the Paris Longitudinal Study of healthy children.

Authors:  David D Martin; Jan Schittenhelm; Hans Henrik Thodberg
Journal:  Pediatr Radiol       Date:  2015-11-11

8.  A paediatric bone index derived by automated radiogrammetry.

Authors:  H H Thodberg; R R van Rijn; T Tanaka; D D Martin; S Kreiborg
Journal:  Osteoporos Int       Date:  2009-11-24       Impact factor: 4.507

9.  Comparison of radiogrammetrical metacarpal indices in children and reference data from the First Zurich Longitudinal Study.

Authors:  David D Martin; Conrad Heckmann; Julia Neuhof; Oskar G Jenni; Michael B Ranke; Gerhard Binder
Journal:  Pediatr Radiol       Date:  2012-06-06

Review 10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.