Literature DB >> 20190534

Bone age assessment in the workup of children with endocrine disorders.

Gian Luigi Spadoni1, Stefano Cianfarani.   

Abstract

Bone age is a measure of developmental age, or physiological maturity, which represents more truthfully than chronological age, how far an individual has progressed towards full maturity. It is particularly helpful in the clinical workup of children with growth and/or puberty disorders as well as in treating decisions, such as whether to start replacement therapy in a patient with hypogonadism. Skeletal maturity assessment plays a pivotal role in confirming the diagnosis of normal variants of growth such as familial short stature and constitutional delay of growth, in interpreting hormone tests during puberty, and in the diagnosis of precocious puberty and hyperandrogenism. On the other hand, it is important to recognize that overemphasizing bone age evaluation can be misleading if not used in the proper settings. Adult height prediction is based on skeletal maturity assessment and can be used to predict with acceptable accuracy which adult height will be achieved by a 'normal' child. However, the predictions do not apply to children with endocrine or bone pathologies affecting growth.

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Year:  2010        PMID: 20190534     DOI: 10.1159/000271910

Source DB:  PubMed          Journal:  Horm Res Paediatr        ISSN: 1663-2818            Impact factor:   2.852


  9 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.  An update of the statistical methods underlying the FELS method of skeletal maturity assessment.

Authors:  Ramzi W Nahhas; Richard J Sherwood; Wm Cameron Chumlea; Dana L Duren
Journal:  Ann Hum Biol       Date:  2013-09-02       Impact factor: 1.533

3.  Determinants of bone mineral density, bone mineral content, and body composition in a cohort of healthy children: influence of sex, age, puberty, and physical activity.

Authors:  Emanuele Ausili; Donato Rigante; Elio Salvaggio; Benedetta Focarelli; Claudia Rendeli; Valentina Ansuini; Valentina Paolucci; Silvia Triarico; Lucilla Martini; Paolo Caradonna
Journal:  Rheumatol Int       Date:  2011-08-02       Impact factor: 2.631

4.  Early Maturity as the New Normal: A Century-long Study of Bone Age.

Authors:  Melanie E Boeyer; Richard J Sherwood; Chelsea B Deroche; Dana L Duren
Journal:  Clin Orthop Relat Res       Date:  2018-11       Impact factor: 4.176

5.  Hashimoto's Thyroiditis in South Indian Centre.

Authors:  Ramya Rajamanickam; Lakshmi Shanmugavelu; Sundari Subramanian; Hemchand Krishna Prasad; Nedunchelian Krishnamoorthy
Journal:  Indian J Pediatr       Date:  2016-04-20       Impact factor: 1.967

6.  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

7.  Performance of an artificial intelligence system for bone age assessment in Tibet.

Authors:  Fengdan Wang; Wangjiu Cidan; Xiao Gu; Shi Chen; Wu Yin; Yongliang Liu; Lei Shi; Hui Pan; Zhengyu Jin
Journal:  Br J Radiol       Date:  2021-02-09       Impact factor: 3.039

8.  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

Review 9.  Early recognition of growth abnormalities permitting early intervention.

Authors:  Morey Haymond; Anne-Marie Kappelgaard; Paul Czernichow; Beverly M K Biller; Koji Takano; Wieland Kiess
Journal:  Acta Paediatr       Date:  2013-05-13       Impact factor: 2.299

  9 in total

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