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


BACKGROUND
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.
Department of Orthopaedics and Rehabilitation, University of Vermont, Burlington, VT 05405-0084, USA. Ian.Stokes@uvm.edu
Ian A F
IA
Stokes
David D
DD
Aronsson
D000465:Algorithms; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D011859:Radiography; D012600:Scoliosis / Q000145:classification* / Q000175:diagnosis / Q000000981:diagnostic imaging*; D013904:Thoracic Vertebrae / Q000000981:diagnostic imaging*