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

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.

[1]  Bert Verdonck,et al.  The reliability of quantitative analysis on digital images of the scoliotic spine , 2002, European Spine Journal.

[2]  Philip W. Ballinger.  Merrill's Atlas Of Radiographic Positions And Radiologic Procedures, 8th Edition By Philip W. Ballinger , 1982 .

[3]  Cobb,et al.  Outlines for the study of scoliosis , 1948 .

[4]  L. Lenke,et al.  Reliability Analysis for Digital Adolescent Idiopathic Scoliosis Measurements , 2005, Journal of spinal disorders & techniques.

[5]  Fuk Tang,et al.  A PACS and image informatics training , 2001 .

[6]  K. Shea,et al.  A Comparison of Manual Versus Computer‐Assisted Radiographic Measurement: Intraobserver Measurement Variability for Cobb Angles , 1998, Spine.

[7]  I. Stokes,et al.  Identifying Sources of Variability in Scoliosis Classification Using a Rule-Based Automated Algorithm , 2002, Spine.

[8]  M. O’Brien,et al.  Comparison of Manual and Digital Measurements in Adolescent Idiopathic Scoliosis , 2006, Spine.

[9]  Chris J. Harris,et al.  Neurofuzzy state estimators and their applications , 1999 .

[10]  W. Kane,et al.  Scoliosis prevalence: a call for a statement of terms. , 1977, Clinical orthopaedics and related research.

[11]  Fei Cao,et al.  Implementation of a PACS for radiography training and clinical service in a university setting through a multinational effort , 2001, SPIE Medical Imaging.

[12]  E. Hall,et al.  Measurement of the Cobb angle on radiographs of patients who have scoliosis. Evaluation of intrinsic error. , 1990, The Journal of bone and joint surgery. American volume.

[13]  B V Reamy,et al.  Adolescent idiopathic scoliosis: review and current concepts. , 2001, American family physician.

[14]  A Greenspan,et al.  Scoliotic index: a comparative evaluation of methods for the measurement of scoliosis. , 1978, Bulletin of the Hospital for Joint Diseases.

[15]  A. Whitley,et al.  Clark's Positioning in Radiography , 1967 .

[16]  R R Betz,et al.  Intraobserver and Interobserver Reliability of the Classification of Thoracic Adolescent Idiopathic Scoliosis*† , 1998, The Journal of bone and joint surgery. American volume.