Literature DB >> 2260839

Skeletal maturity in Belgian youths assessed by the Tanner-Whitehouse method (TW2).

G Beunen1, J Lefevre, M Ostyn, R Renson, J Simons, D Van Gerven.   

Abstract

Reference data for skeletal maturity (TW2 method) of the hand and wrist are provided for large representative samples of Belgian boys and girls. The sample of Belgian boys consisted of 21,174 boys aged 12 to 20 years studied in a nationwide cross-sectional and longitudinal study on the physical fitness of secondary schoolboys (1969-1974). The girls' sample consisted of 9698 6-19-year-old Flemish girls studied cross-sectionally (1979-1980). Both samples were multi-stage stratified cluster samples of entire school classes. All skeletal maturity assessments of the boys were made by the same observer (GB). His estimations agreed quite closely with those of the originators of the method. The skeletal age assessments of the girls were made by two observers trained by GB. Both observers showed high intraobserver reliability after training, and during the assessments. Moreover their ratings compared favourably with those of GB and the originators of the method. Smoothed percentile curves of the maturity scores (TW2-20 bone, RUS and CARP scores) were calculated by means of cubic splines using a stepwise regression procedure for the selection of suitable knots. In the boys, the TW2 scores (20 bone and RUS) increase linearly between 12 and 14.5 years of age, slow down for a while, and then increase again, while the CARP scores increase linearly between 12 and 15 years of age. In girls, the 20-bone maturity scores increase nearly linearly from 6 through 9.5 years of age, accelerate until 11.0 years followed by a smaller increase; RUS scores increase curvilinearly from 6 years of age onwards; and Carp scores increase almost linearly between 6.0 and 12.5 years of age. Belgian boys are advanced in RUS scores but are delayed for the carpal bones as compared with the British standards. The Belgian girls show advancement for both scales as compared with the British reference data. The skeletal maturation of youths from several other continental European countries corresponds more closely with the Belgian than with the British data. The reference data presented herein most probably provide suitable standards for youths of West-European countries.

Entities:  

Mesh:

Year:  1990        PMID: 2260839     DOI: 10.1080/03014469000001142

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  10 in total

1.  A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Authors:  Chao Tong; Baoyu Liang; Jun Li; Zhigao Zheng
Journal:  J Med Syst       Date:  2018-11-03       Impact factor: 4.460

2.  Skeletal age determination of the hand: a comparison of methods.

Authors:  S Schmidt; I Nitz; S Ribbecke; R Schulz; H Pfeiffer; A Schmeling
Journal:  Int J Legal Med       Date:  2013-03-13       Impact factor: 2.686

3.  Applicability of the skeletal age determination method of Tanner and Whitehouse for forensic age diagnostics.

Authors:  Sven Schmidt; Inna Nitz; Ronald Schulz; Andreas Schmeling
Journal:  Int J Legal Med       Date:  2008-05-06       Impact factor: 2.686

4.  Computer-aided estimation of skeletal age and comparison with bone age evaluations by the method of Greulich-Pyle and Tanner-Whitehouse.

Authors:  H Frisch; S Riedl; T Waldhör
Journal:  Pediatr Radiol       Date:  1996

5.  The current state of forensic age estimation of live subjects for the purpose of criminal prosecution.

Authors:  Andreas Schmeling; Walter Reisinger; Gunther Geserick; Andreas Olze
Journal:  Forensic Sci Med Pathol       Date:  2005-12       Impact factor: 2.456

Review 6.  Hand X-ray in pediatric endocrinology: Skeletal age assessment and beyond.

Authors:  Vincenzo De Sanctis; Salvatore Di Maio; Ashraf T Soliman; Giuseppe Raiola; Rania Elalaily; Giuseppe Millimaggi
Journal:  Indian J Endocrinol Metab       Date:  2014-11

7.  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

8.  Skeletal age assessed by TW2 using 20-bone, carpal and RUS score systems: Intra-observer and inter-observer agreement among male pubertal soccer players.

Authors:  Paulo Sousa-E-Silva; Manuel J Coelho-E-Silva; Andre Seabra; Daniela C Costa; Diogo V Martinho; João P Duarte; Tomás Oliveira; João Gonçalves-Santos; Inês Rodrigues; Luis P Ribeiro; António J Figueiredo; Jan M Konarski; Sean P Cumming; Robert M Malina
Journal:  PLoS One       Date:  2022-08-23       Impact factor: 3.752

Review 9.  Factors affecting prepubertal and pubertal bone age progression.

Authors:  Mari Satoh; Yukihiro Hasegawa
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-22       Impact factor: 6.055

10.  Bone age: assessment methods and clinical applications.

Authors:  Mari Satoh
Journal:  Clin Pediatr Endocrinol       Date:  2015-10-24
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.