Literature DB >> 22308856

Validation of automatic bone age rating in children with precocious and early puberty.

David D Martin1, Kathrin Meister, Roland Schweizer, Michael B Ranke, Hans Henrik Thodberg, Gerhard Binder.   

Abstract

BACKGROUND AND AIMS: Manual bone age (BA) rating in precocious puberty (PP) is associated with considerable rater variability. The aim was to evaluate a new method for automated Greulich and Pyle (GP) BA determination in children with PP.
METHODS: Seven hundred forty-one archived X-rays from 13 boys and 103 girls with PP or early puberty of various etiologies (age range at time of X-ray, 0.3-14.8 years; mean BA advancement, 2.3 years) were rated. Automatic rating (BoneXpert BA, or BXBA) was compared with the original manual GP rating (manual BA, or ManBA). X-rays where BXBA deviated from ManBA by more than 1.5 years were rerated by three raters, and the average was formed (ReferenceBA).
RESULTS: All 741 X-rays, except nine (three images had poor quality and six were from children with a chronological age younger than 1.5 years), were analyzed automatically. The mean difference of BXBA-ManBA was -0.19 years; the SD of the differences was 0.76 years (95% confidence interval 0.72-0.80). ReferenceBA was determined for 41 images. A discrepancy from ReferenceBA greater 1.5 years was found in four images against BXBA and in 10 images against ManBA.
CONCLUSION: Automated BA is efficient and reliable in children with PP.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22308856     DOI: 10.1515/jpem.2011.420

Source DB:  PubMed          Journal:  J Pediatr Endocrinol Metab        ISSN: 0334-018X            Impact factor:   1.634


  12 in total

1.  Bone age determination in eutrophic, overweight and obese Brazilian children and adolescents: a comparison between computerized BoneXpert and Greulich-Pyle methods.

Authors:  Thiago O Artioli; Matheus A Alvares; Vanessa S Carvalho Macedo; Tatiane S Silva; Roberto Avritchir; Cristiane Kochi; Carlos A Longui
Journal:  Pediatr Radiol       Date:  2019-05-31

2.  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

3.  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

4.  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

5.  Automated determination of bone age and bone mineral density in patients with juvenile idiopathic arthritis: a feasibility study.

Authors:  Janneke Anink; Charlotte M Nusman; Lisette W A van Suijlekom-Smit; Rick R van Rijn; Mario Maas; Marion A J van Rossum
Journal:  Arthritis Res Ther       Date:  2014-08-27       Impact factor: 5.156

6.  A Piece of the Puzzle: The Bone Health Index of the BoneXpert Software Reflects Cortical Bone Mineral Density in Pediatric and Adolescent Patients.

Authors:  Michael M Schündeln; Laura Marschke; Jens J Bauer; Pia K Hauffa; Bernd Schweiger; Dagmar Führer-Sakel; Harald Lahner; Thorsten D Poeppel; Cordula Kiewert; Berthold P Hauffa; Corinna Grasemann
Journal:  PLoS One       Date:  2016-03-25       Impact factor: 3.240

7.  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

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

Authors:  Monika Prokop-Piotrkowska; Kamila Marszałek-Dziuba; Elżbieta Moszczyńska; Mieczysław Szalecki; Elżbieta Jurkiewicz
Journal:  J Clin Res Pediatr Endocrinol       Date:  2020-10-26

9.  Near-Adult Heights and Adult Height Predictions Using Automated and Conventional Greulich-Pyle Bone Age Determinations in Children with Chronic Endocrine Diseases.

Authors:  Daniela Choukair; Annette Hückmann; Janna Mittnacht; Thomas Breil; Jens Peter Schenk; Abdulsattar Alrajab; Lorenz Uhlmann; Markus Bettendorf
Journal:  Indian J Pediatr       Date:  2022-02-01       Impact factor: 5.319

10.  Bone age: assessment methods and clinical applications.

Authors:  Mari Satoh
Journal:  Clin Pediatr Endocrinol       Date:  2015-10-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.