Literature DB >> 25787071

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

Eva Nüsken1, 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.   

Abstract

BACKGROUND: Growth restriction and retarded bone age are common findings in children with chronic kidney disease (CKD). We compared the automated BoneXpert™ method with the manual assessment of an X-ray of the non-dominant hand.
METHODS: In this retrospective multicenter study, 359 patients with CKD stages 2-5, aged 2-14.5 (girls) or 2.5-17 years (boys) were included. Bone age was determined manually by three experts (according to Greulich and Pyle). Automated determination of bone age was performed using the image analysis software BoneXpert™.
RESULTS: There was a strong correlation between the automatic and the manual method (r = 0.983, p < 0.001). The automatic method tended to generate higher bone age values (0.64 ± 0.73 years) in the younger patients (4-5 years) and to underestimate retardation or acceleration of bone age. The so-called "bone health index" (BHI) was reduced in comparison to the reference population. Bone health index standard deviation score (BHI-SDS) was not related to the stage of CKD, but weakly negatively correlated with plasma PTH concentrations (r = 0.12, p = 0.019).
CONCLUSIONS: BoneXpert™ allows an objective, time-saving, and in general valid bone age assessment in children with CKD. Possible underestimation of retarded or accelerated bone age should be taken into account. Validation of the BHI needs further study.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25787071     DOI: 10.1007/s00467-015-3042-5

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  17 in total

1.  Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods.

Authors:  R K Bull; P D Edwards; P M Kemp; S Fry; I A Hughes
Journal:  Arch Dis Child       Date:  1999-08       Impact factor: 3.791

2.  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

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.  Validation of a new method for automated determination of bone age in Japanese children.

Authors:  David D Martin; Koshi Sato; Mari Sato; Hans Henrik Thodberg; Toshiaki Tanaka
Journal:  Horm Res Paediatr       Date:  2010-04-14       Impact factor: 2.852

5.  Automatic determination of left- and right-hand bone age in the First Zurich Longitudinal Study.

Authors:  David D Martin; Julia Neuhof; Oskar G Jenni; Michael B Ranke; Hans Henrik Thodberg
Journal:  Horm Res Paediatr       Date:  2010-04-15       Impact factor: 2.852

6.  Increased bone fractures among elderly United States hemodialysis patients.

Authors:  John Wagner; Kenar D Jhaveri; Lisa Rosen; Suzanne Sunday; Anna T Mathew; Steven Fishbane
Journal:  Nephrol Dial Transplant       Date:  2013-09-26       Impact factor: 5.992

7.  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

Review 8.  Recent advances in the noninvasive diagnosis of renal osteodystrophy.

Authors:  Ranjani N Moorthi; Sharon M Moe
Journal:  Kidney Int       Date:  2013-06-26       Impact factor: 10.612

9.  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

10.  Changes in bone structure and the muscle-bone unit in children with chronic kidney disease.

Authors:  Anne Tsampalieros; Heidi J Kalkwarf; Rachel J Wetzsteon; Justine Shults; Babette S Zemel; Bethany J Foster; Debbie L Foerster; Mary B Leonard
Journal:  Kidney Int       Date:  2012-10-03       Impact factor: 10.612

View more
  3 in total

1.  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

2.  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

3.  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

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.