Literature DB >> 17680309

Computer-generated index for evaluation of idiopathic scoliosis in digital chest images: a comparison with digital measurement.

Fuk-hay Tang1, Lawrence W C Chan, Hin-pong Lau, Po-yan Tsui, Chi-wa Cheung.   

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.

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Year:  2007        PMID: 17680309      PMCID: PMC3043879          DOI: 10.1007/s10278-007-9050-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  10 in total

1.  The reliability of quantitative analysis on digital images of the scoliotic spine.

Authors:  John Cheung; Dirk J Wever; Albert G Veldhuizen; Jean P Klein; Bert Verdonck; Rutger Nijlunsing; Jan C Cool; Jim R Van Horn
Journal:  Eur Spine J       Date:  2002-07-13       Impact factor: 3.134

2.  Identifying sources of variability in scoliosis classification using a rule-based automated algorithm.

Authors:  Ian A F Stokes; David D Aronsson
Journal:  Spine (Phila Pa 1976)       Date:  2002-12-15       Impact factor: 3.468

3.  A comparison of manual versus computer-assisted radiographic measurement. Intraobserver measurement variability for Cobb angles.

Authors:  K G Shea; P M Stevens; M Nelson; J T Smith; K S Masters; S Yandow
Journal:  Spine (Phila Pa 1976)       Date:  1998-03-01       Impact factor: 3.468

4.  Measurement of the Cobb angle on radiographs of patients who have scoliosis. Evaluation of intrinsic error.

Authors:  R T Morrissy; G S Goldsmith; E C Hall; D Kehl; G H Cowie
Journal:  J Bone Joint Surg Am       Date:  1990-03       Impact factor: 5.284

5.  Comparison of manual and digital measurements in adolescent idiopathic scoliosis.

Authors:  Timothy R Kuklo; Benjamin K Potter; Teresa M Schroeder; Michael F O'Brien
Journal:  Spine (Phila Pa 1976)       Date:  2006-05-15       Impact factor: 3.468

6.  Scoliotic index: a comparative evaluation of methods for the measurement of scoliosis.

Authors:  A Greenspan; J W Pugh; A Norman; R S Norman
Journal:  Bull Hosp Joint Dis       Date:  1978-10

7.  Reliability analysis for digital adolescent idiopathic scoliosis measurements.

Authors:  Timothy R Kuklo; Benjamin K Potter; Michael F O'Brien; Teresa M Schroeder; Lawrence G Lenke; David W Polly
Journal:  J Spinal Disord Tech       Date:  2005-04

8.  Intraobserver and interobserver reliability of the classification of thoracic adolescent idiopathic scoliosis.

Authors:  L G Lenke; R R Betz; K H Bridwell; D H Clements; J Harms; T G Lowe; H L Shufflebarger
Journal:  J Bone Joint Surg Am       Date:  1998-08       Impact factor: 5.284

Review 9.  Adolescent idiopathic scoliosis: review and current concepts.

Authors:  B V Reamy; J B Slakey
Journal:  Am Fam Physician       Date:  2001-07-01       Impact factor: 3.292

10.  Scoliosis prevalence: a call for a statement of terms.

Authors:  W J Kane
Journal:  Clin Orthop Relat Res       Date:  1977 Jul-Aug       Impact factor: 4.176

  10 in total
  3 in total

Review 1.  Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000-2009.

Authors:  Philippe Phan; Neila Mezghani; Carl-Éric Aubin; Jacques A de Guise; Hubert Labelle
Journal:  Eur Spine J       Date:  2011-01-30       Impact factor: 3.134

Review 2.  A review of methods for quantitative evaluation of spinal curvature.

Authors:  Tomaz Vrtovec; Franjo Pernus; Bostjan Likar
Journal:  Eur Spine J       Date:  2009-02-27       Impact factor: 3.134

3.  A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures.

Authors:  Faisal Rehman; Syed Irtiza Ali Shah; M Naveed Riaz; S Omer Gilani; Faiza R
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

  3 in total

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