Literature DB >> 19125243

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

Rick R van Rijn1, Maarten H Lequin, Hans Henrik Thodberg.   

Abstract

BACKGROUND: Bone age (BA) assessment is a routine procedure in paediatric radiology, for which the Greulich and Pyle (GP) atlas is mostly used. There is rater variability, but the advent of automatic BA determination eliminates this.
OBJECTIVE: To validate the BoneXpert method for automatic determination of skeletal maturity of healthy children against manual GP BA ratings.
MATERIALS AND METHODS: Two observers determined GP BA with knowledge of the chronological age (CA). A total of 226 boys with a BA of 3-17 years and 179 girls with a BA of 3-15 years were included in the study. BoneXpert's estimate of GP BA was calibrated to agree on average with the manual ratings based on several studies, including the present study.
RESULTS: Seven subjects showed a deviation between manual and automatic BA in excess of 1.9 years. They were re-rated blindly by two raters. After correcting these seven ratings, the root mean square error between manual and automatic rating in the 405 subjects was 0.71 years (range 0.66-0.76 years, 95% CI). BoneXpert's GP BA is on average 0.28 and 0.20 years behind the CA for boys and girls, respectively.
CONCLUSION: BoneXpert is a robust method for automatic determination of BA.

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Mesh:

Year:  2009        PMID: 19125243     DOI: 10.1007/s00247-008-1090-8

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


  8 in total

1.  Are you reading what we are reading? The effect of who interprets medical images on estimates of diagnostic test accuracy in systematic reviews.

Authors:  S Brealey; M Westwood
Journal:  Br J Radiol       Date:  2007-08       Impact factor: 3.039

2.  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

3.  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

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  Is the Greulich and Pyle atlas still valid for Dutch Caucasian children today?

Authors:  R R van Rijn; M H Lequin; S G Robben; W C Hop; C van Kuijk
Journal:  Pediatr Radiol       Date:  2001-10

6.  Normal values for tibial quantitative ultrasonometry in caucasian children and adolescents (aged 6 to 19 years).

Authors:  M H Lequin; R R van Rijn; S G Robben; W C Hop; C van Kuijk
Journal:  Calcif Tissue Int       Date:  2000-08       Impact factor: 4.333

7.  Bone age in children of diverse ethnicity.

Authors:  F K Ontell; M Ivanovic; D S Ablin; T W Barlow
Journal:  AJR Am J Roentgenol       Date:  1996-12       Impact factor: 3.959

8.  Applicability of the Greulich and Pyle skeletal age standards to black and white children of today.

Authors:  R T Loder; D T Estle; K Morrison; D Eggleston; D N Fish; M L Greenfield; K E Guire
Journal:  Am J Dis Child       Date:  1993-12
  8 in total
  27 in total

1.  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

Review 2.  Imaging in Short Stature and Bone Age Estimation.

Authors:  Arun Kumar Gupta; Manisha Jana; Atin Kumar
Journal:  Indian J Pediatr       Date:  2019-03-19       Impact factor: 1.967

3.  IBD: Is measuring bone age in children with Crohn's disease useful?

Authors:  Thomas D Walters
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-09-25       Impact factor: 46.802

4.  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

5.  The paediatric wrist revisited--findings of bony depressions in healthy children on radiographs compared to MRI.

Authors:  Derk M F Avenarius; Lil-Sofie Ording Müller; Petter Eldevik; Catherine M Owens; Karen Rosendahl
Journal:  Pediatr Radiol       Date:  2012-03-20

6.  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

7.  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

8.  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

9.  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

10.  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

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