Computer-assisted algorithms improve reliability of King classification and Cobb angle measurement of scoliosis.

Study Design: Interobserver and intraobserver reliability study of improved method to evaluate radiographs of patients with scoliosis. Objective: To determine the reliability of a computer-assisted measurement protocol for evaluating Cobb angle and King et al classification. Summary Of Background Da...

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Publicado en:Spine (03622436) Vol. 31; no. 6; pp. 665 - 671
Autores principales: Stokes IAF, Aronsson DD, Stokes, Ian A F, Aronsson, David D
Formato: algorithm diagnostic images research tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins Mar2006
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2006
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        106316847
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        2009241345
        10.1097/01.brs.0000203708.49972.ab
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        atl: Computer-assisted algorithms improve reliability of King classification and Cobb angle measurement of scoliosis.
      aug:
        au:
          Stokes IAF
          Aronsson DD
          Stokes, Ian A F
          Aronsson, David D
        affil: Department of Orthopaedics and Rehabilitation, University of Vermont, Burlington, VT 05405-0084, USA
      sug:
        subj:
          Scoliosis Classification
          Diagnosis, Computer Assisted
          Clinical Assessment Tools
          Instrument Validation
          Validation Studies
          Reliability and Validity
          Interrater Reliability
          Intrarater Reliability
          Descriptive Statistics
          Reproducibility of Results
          kappa Statistic
          Spearman's Rank Correlation Coefficient
          Human
      ab: Study Design: Interobserver and intraobserver reliability study of improved method to evaluate radiographs of patients with scoliosis. Objective: To determine the reliability of a computer-assisted measurement protocol for evaluating Cobb angle and King et al classification. Summary Of Background Data: Evaluation of scoliosis radiographs is inherently unreliable because of technical and human judgmental errors. Objective, computer-assisted evaluation tools may improve reliability. Methods: Posteroanterior preoperative radiographic images of 27 patients with adolescent idiopathic scoliosis were each displayed on a computer screen. They were marked 3 times in random sequence by each of 5 evaluators (observers) who marked 70 standardized points on the vertebrae and sacrum in each radiograph. A computer program (Spine 2002;27:2801-5) that identified curves, calculated Cobb angles, and generated the King et al classification automatically analyzed coordinates of these points. The interobserver and intraobserver variability of the Cobb angle and King et al classification evaluations were quantified and compared with values obtained by unassisted observers. Results: Average Cobb angle intraobserver standard deviation was 2.0 degrees for both the thoracic and lumbar curves (range 0.1 to 8.3 degrees for different curves). Interobserver reliability was 2.5 degrees for thoracic curves and 2.6 degrees for lumbar curves. Among the 5 observers, there was an inverse relationship between repeatability and time spent marking images, and no correlation with image quality or curve magnitude. Kappa values for the variability of the King et al classification averaged 0.85 (intraobserver). Conclusions: Variability of Cobb measurements compares favorably with previously published series. The classification was more reliable than achieved by unassisted observers evaluating the same radiographs. The same principles may be applicable to other radiographic measurement and evaluation procedures.
      pubtype: Academic Journal
      doctype:
        algorithm
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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