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Erschienen in: Journal of Digital Imaging 1/2008

01.10.2008

Computer-Generated Index for Evaluation of Idiopathic Scoliosis in Digital Chest Images: A Comparison with Digital Measurement

verfasst von: Fuk-hay Tang, Lawrence W. C. Chan, Hin-pong Lau, Po-yan Tsui, Chi-wa Cheung

Erschienen in: Journal of Imaging Informatics in Medicine | Sonderheft 1/2008

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Abstract

An intelligence system was used to generate index for scoliosis. Tests were designed to evaluate the consistency of the automatic computer-generated index and to quantify the correlation between Cobb angle and computer generated scoliosis classification index (SCI). A fully automatic computer-generated index can be used to assess the extent of spinal curvature rather than manual measurement on radiographs. This study aims to evaluate the relation of an automatic computer-generated index in assessing the spinal curvature of scoliosis quantitatively on digital chest images. Sixty chest radiographs were obtained in this study. Cobb angle measurement and the index generated were compared by parametric statistical tests. The SCI method was demonstrated to be reproducible. There was also statically significant positive correlation between Cobb angle and SCI (Pearson’s correlation: r = 0.9229). The Computer-generated index method is valid and reliable in quantifying measurement of spinal curvature of scoliosis as the correlation between Cobb’s angle and SCI in nearly perfect positive for Cobb angle more than 10 degree. It is noted that with widely use of this computer method, this quantitative method proposed is a promising method in improving the reliability of scoliosis assessment and reducing the workload of clinical staff.
Fußnoten
1
Cobb angle: angle between lines drawn on endplates of the end vertebrae (superior endplate of upper end vertebra; inferior endplate of lower end vertebra) see: Scoliosis Research Society (SRS) http://​www.​srs.​org/​professionals/​glossary/​glossary.​asp.
 
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Metadaten
Titel
Computer-Generated Index for Evaluation of Idiopathic Scoliosis in Digital Chest Images: A Comparison with Digital Measurement
verfasst von
Fuk-hay Tang
Lawrence W. C. Chan
Hin-pong Lau
Po-yan Tsui
Chi-wa Cheung
Publikationsdatum
01.10.2008
Verlag
Springer-Verlag
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe Sonderheft 1/2008
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-007-9050-7

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