Prediction of Scoliotic Cobb Angle With the Use of the Scoliometer

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Abstract

Study Design

A prospective study was conducted in a young homogenous adolescent population, with the use of the scoliometer.

Objectives

To create a mathematic formula that provides the accurate Cobb angle of idiopathic scoliosis with the use of the scoliometer only.

Summary of Background Data

The scoliometer is an accepted method for detection and evaluation of scoliosis during screening programs. To the authors' knowledge, there are no previous methods and formulas to estimate the approximate Cobb angle using only the scoliometer.

Methods

Several clinical (scoliometer value, age, and sex) and radiographic (Cobb angle, Perdriolle of the apical vertebra, Risser iliac apophysis classification) parameters from 442 (4.37%) of 10,109 screened adolescents who had a scoliometer value of at least 7° were taken and correlated using the simple and multiple linear regression analysis.

Results

Cobb angle and scoliometer value were statistically significantly correlated to each other. Two mathematic formulas were created to predict the Cobb angle of the thoracic and lumbar scoliosis, with similar sensitivity and accuracy. The thoracic and lumbar scoliometer values were statistic significantly correlated with the thoracic and lumbar Cobb angle (P = 0.0254 and P = 0.0015, respectively). The lumbar scoliometer value was significantly correlated with lumbar apical vertebra Perdriolle value. Also, the thoracic and lumbar Cobb angles were significantly correlated with thoracic and lumbar apical vertebra (P = 0.0001 and P = 0.0015, respectively).

Conclusions

In the present study, the authors have constructed two mathematic formulas, which provide accurately the scoliotic Cobb angle in young adolescents using only the scoliometer with a deviation of 5.63° for thoracic curves and 5.79° for lumbar curves. The authors recommend that all physicians engaged in scoliosis screening programs use the scoliometer based on the mathematic formulas that the authors developed. They believe that this method will reduce the cost of school screening programs, the overdiagnosis, and the unnecessary exposure to irradiation of this young population in the future.

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