Literature DB >> 8719433

The use of a computerized method of bone age assessment in clinical practice.

A Albanese1, C Hall, R Stanhope.   

Abstract

We assessed the reliability and repeatability of a new computerized bone age system, both versions 3.4 and 3.5 (licensed by Discerning System Inc. and Ares Service SA, Serono), able to automatically assess bone age on a left hand and wrist radiograph. This computer system is based upon Tanner and Whitehouse's method (TW2), but there are important differences. Our sample included an initial group of 40 patients who had growth delay/constitutional delay of growth and puberty (n = 10), growth hormone insufficiency/deficiency (n = 15), low birth weight/Silver-Russell syndrome (n = 9), precocious puberty (n = 6), as well as 20 patients with various skeletal dysplasias (multiple epiphyseal dysplasia n = 7, pseudoachondroplasia n = 7, acrodysostosis n = 5, achondroplasia n = 1), 7 girls with Turner syndrome, and 10 boys with nephrotic syndrome on chronic corticosteroid treatment. Multiple anthropometric readings of the same radiographs demonstrated excellent repeatability of the assessment. In addition, the number of times that a manual insertion of a grade was required was similar in four different assessments. The computerized method did not entirely avoid errors in interpretation as the position of the x-ray on the screen was critical. There was a high manual insertion rate in radiographs of children with skeletal dysplasia. However, the computer assessment system, version 3.5, performed adequately for radiographs of children with normal bone morphology and Turner syndrome and had the advantage of a continuous scale of assessment.

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Year:  1995        PMID: 8719433     DOI: 10.1159/000184665

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


  3 in total

1.  Computer-assisted bone age assessment: graphical user interface for image processing and comparison.

Authors:  Ewa Pietka; Arkadiusz Gertych; Sylwia Pospiechâ Euro Kurkowska; Fei Cao; H K Huang; Vincente Gilzanz
Journal:  J Digit Imaging       Date:  2004-06-04       Impact factor: 4.056

2.  [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

3.  Automated bone age assessment: motivation, taxonomies, and challenges.

Authors:  Marjan Mansourvar; Maizatul Akmar Ismail; Tutut Herawan; Ram Gopal Raj; Sameem Abdul Kareem; Fariza Hanum Nasaruddin
Journal:  Comput Math Methods Med       Date:  2013-12-16       Impact factor: 2.238

  3 in total

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