Literature DB >> 7698726

Reliability and validity of computer-assisted estimates of Tanner-Whitehouse skeletal maturity (CASAS): comparison with the manual method.

J M Tanner1, D Oshman, G Lindgren, J A Grunbaum, R Elsouki, D Labarthe.   

Abstract

Three observers rated 57 X-rays from normal healthy children in Project HeartBeat! twice each by CASAS, the computer-assisted version of the TW2 RUS bone age method. Differences between duplicates of individual bone ratings which reached or exceeded 1.0 unit (or 1 stage) were 5% within observer and 8% between observers for CASAS, and 17 and 33%, respectively, for the unassisted MANUAL method. In children followed longitudinally, CASAS scores increased much more steadily than MANUAL scores, largely because the bones were rated, in the former system, on a continuous rather than a discrete-integer scale. We conclude that CASAS is a more reliable and probably a more valid estimator of skeletal maturity than the MANUAL version of the TW2 RUS method.

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Year:  1994        PMID: 7698726     DOI: 10.1159/000184211

Source DB:  PubMed          Journal:  Horm Res        ISSN: 0301-0163


  8 in total

1.  [Determination of skeletal age : comparison of the methods of Greulich and Pyle and Tanner and Whitehouse].

Authors:  M J Horter; S Friesen; S Wacker; B Vogt; B Leidiger; R Roedl; F Schiedel
Journal:  Orthopade       Date:  2012-12       Impact factor: 1.087

2.  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

3.  Fully Automated Deep Learning System for Bone Age Assessment.

Authors:  Hyunkwang Lee; Shahein Tajmir; Jenny Lee; Maurice Zissen; Bethel Ayele Yeshiwas; Tarik K Alkasab; Garry Choy; Synho Do
Journal:  J Digit Imaging       Date:  2017-08       Impact factor: 4.056

4.  Correlation between Skeletal Age and Metacarpal Bones and Metacarpophalangeal Joints Dimensions.

Authors:  Abdolaziz Haghnegahdar; Hamidreza Pakshir; Ilnaz Ghanbari
Journal:  J Dent (Shiraz)       Date:  2019-09

5.  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

6.  External validation of deep learning-based bone-age software: a preliminary study with real world data.

Authors:  Winnah Wu-In Lea; Suk-Joo Hong; Hyo-Kyoung Nam; Woo-Young Kang; Ze-Pa Yang; Eun-Jin Noh
Journal:  Sci Rep       Date:  2022-01-24       Impact factor: 4.379

Review 7.  Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature

Authors:  José I. Labarta; Michael B. Ranke; Mohamad Maghnie; David Martin; Laura Guazzarotti; Roland Pfäffle; Ekaterina Koledova; Jan M. Wit
Journal:  J Clin Res Pediatr Endocrinol       Date:  2020-10-02

8.  Bone age: assessment methods and clinical applications.

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

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