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...
| Publicado en: | Spine (03622436) Vol. 31; no. 6; pp. 665 - 671 |
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| Autores principales: | , , , |
| Formato: | algorithm diagnostic images research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Mar2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106316847&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106316847 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03622436 1Y6 jtl: Spine (03622436) issn: 03622436 maglogo: N pubinfo: dt: Mar2006 vid: 31 iid: 6 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 106316847 NLM16540871 2009241345 10.1097/01.brs.0000203708.49972.ab NLM16540871 106316847 ppf: 665 ppct: 6 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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