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The development of a spinal algorhythmic for evaluation of scoliosis

Objective

The conservative management of scoliosis and related spinal deformities must be precise. A prompt evaluation of various somatic-radiological parameters and an accurate record of the spinal data are required during treatment.

Our purpose is to present a spinal algorhythmic to facilitate documentation of treatments for various spinal diseases during growth.

Study design

Seven types of parameters are considered:

  1. 1)

    growth (height, seated height, weight, lower extremity length inequality etc.)

  2. 2)

    clinical frontal plane (rib hump height, Bunnel, pelvic balance etc.)

  3. 3)

    radiological frontal plane (Cobb-Perdriolle degrees, Risser, etc.)

  4. 4)

    clinical sagittal plane (sagittal distances from the plumb line, pelvic balance, etc.)

  5. 5)

    radiological sagittal plane (angle of kyphosis, lordosis, sacrum, etc.)

  6. 6)

    muscular-neuromotor integration (pectoral, psoas muscles retraction etc.)

  7. 7)

    unstable equilibrium (Romberg, knee-vestibular test, Fukuda-Unterberger, etc.)

Results

This spinal algorhythmic allowed us to obtained early and accurate identification of progressive deformities. In addition, we were able to facilitate the treatment of spinal diseases for all of the patients.

Conclusion

During growth, we believe that the various types of spinal deformities require prompt, careful and appropriate treatment recommendations.

This spinal algorhythmic is proposed to aid in the immediate evaluation of a deformity. The goals are to define the categories of scoliosis, kyphosis, spondilolysthesis and to quantize the magnitude of the spinal deformities.

This criteria easily recognizes all of the patient categories, identifies progressive deformities, and describes indications for their treatment.

References

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Iemolo, B. The development of a spinal algorhythmic for evaluation of scoliosis. Scoliosis 4 (Suppl 1), O71 (2009). https://doi.org/10.1186/1748-7161-4-S1-O71

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  • DOI: https://doi.org/10.1186/1748-7161-4-S1-O71

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