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Spine (Phila Pa 1976) ; 32(15): 1662-6, 2007 Jul 01.
Article in English | MEDLINE | ID: mdl-17621215

ABSTRACT

STUDY DESIGN: Patients with scoliosis from 1999 to 2001 were monitored using radiographs and the Quantec Spinal Imaging System (Quantec) to validate the Functional Classification System (FCS) developed at Children's Hospital of Wisconsin (CHW). OBJECTIVE: To determine the accuracy of the FCS. SUMMARY OF BACKGROUND DATA: The authors evaluated different noninvasive ways of evaluating the scoliotic spine. The FCS was developed as a means to predict the degree of scoliotic curve. METHODS: Consecutive scoliosis visits (543) seen at CHW between 1999 and 2001 for initial or follow-up examination were investigated; of them, 157 had an radiograph within 6 months of Quantec. Subjects were placed into groups based on Cobb Angles. FCS classifications were compared to Cobb angle groupings and calculated sensitivity and specificity. Pearson's correlation coefficient was calculated for 39 subjects. RESULTS: Sensitivity of the FCS for single curve groups ranged from 0.50 to 0.63 and specificity from 0.64 to 0.86. For double curve, both sensitivity and specificity ranged from 0.48 to 0.81. Pearson's correlation was statistically significant (r = 0.45, P < 0.05). CONCLUSIONS: Sensitivity, specificity, and Pearson's correlation coefficient reflect the reliability of the Quantec method. Therefore, the FCS can be considered as a reliable tool for monitoring the progression of scoliosis with reduced need of radiographs.


Subject(s)
Disability Evaluation , Monitoring, Physiologic/methods , Photogrammetry/methods , Scoliosis/classification , Scoliosis/diagnosis , Spine/pathology , Adolescent , Adult , Back/pathology , Back/physiopathology , Child , Child, Preschool , Humans , Mass Screening/methods , Mass Screening/statistics & numerical data , Monitoring, Physiologic/statistics & numerical data , Photogrammetry/standards , Photogrammetry/statistics & numerical data , Predictive Value of Tests , Radiology/standards , Radiology/statistics & numerical data , Reproducibility of Results , Scoliosis/physiopathology , Spine/physiopathology
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