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Prediction of scoliosis progression with serial three-dimensional spinal curves and the artificial progression surface technique

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Abstract

Adolescent idiopathic scoliosis (AIS) progression is clinically monitored by a series of full spinal X-rays. To decrease radiation exposure, an artificial progression surface (APS) is proposed to predict progression. Fifty-six acquisitions (posteroanterior radiographs, 0° and 20°) were obtained from 11 AIS patients (29.8 ± 9.6° Cobb angle). Three-dimensional curves were constructed through vertebral pedicle centers. Three previous serial spinal curves (6-month intervals) were used to construct an APS with a Non-uniform Rational B-Spline surfacing technique. Future progression was achieved by aligning the curves on the APS using the generalized cross-validation extrapolation technique. With three and four previous serial spinal curves, the prediction accuracies of future progression at the next 6-month interval were 4.1 ± 3.3° for Cobb angles and 3.6 ± 3.5 mm for apex lateral deviations. Apex locations and Cobb regions varied within one vertebral level. The proposed technique shows potential as an accurate three-dimensional prediction method for AIS progression and could help pediatricians make decisions about treatment. However, it could only be applied once before more radiographic data would be needed.

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Acknowledgments

The authors would like to gratefully acknowledge the financial support from Canadian Institutes of Health Research (CIHR), Alberta Children’s Hospital Foundation, Fraternal Order of Eagles (Alberta & Saskatchewan), Lew Reed Spinal Cord Injury Foundation, Alberta Ingenuity Fund (AIF), and the Natural Sciences and Engineering Research Council of Canada (NSERC).

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Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada

    Hongfa Wu, Jessica Küpper & Deyi Xue

  2. Faculty of Kinesiology and Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada

    Janet L. Ronsky

  3. Département de génie informatique, École Polytechnique de Montréal, CHU Sainte-Justine, Centre de Recherche, 3175 Côte-Ste-Catherine, Montreal, QC, H3T 1C5, Canada

    Farida Cheriet

  4. Department of Orthopaedic Surgery, Alberta Children’s Hospital, 2888 Shaganappi Trail, Calgary, AB, T3B 6A8, Canada

    James Harder

  5. Faculties of Medicine and Kinesiology and the Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada

    Ronald F. Zernicke

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  1. Hongfa Wu
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  2. Janet L. Ronsky
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  3. Farida Cheriet
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  4. Jessica Küpper
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  7. Ronald F. Zernicke
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Correspondence to Janet L. Ronsky.

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Wu, H., Ronsky, J.L., Cheriet, F. et al. Prediction of scoliosis progression with serial three-dimensional spinal curves and the artificial progression surface technique. Med Biol Eng Comput 48, 1065–1075 (2010). https://doi.org/10.1007/s11517-010-0654-6

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  • DOI: https://doi.org/10.1007/s11517-010-0654-6

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