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Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000–2009

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Abstract

Adolescent idiopathic scoliosis (AIS) is a complex spinal deformity whose assessment and treatment present many challenges. Computer applications have been developed to assist clinicians. A literature review on computer applications used in AIS evaluation and treatment has been undertaken. The algorithms used, their accuracy and clinical usability were analyzed. Computer applications have been used to create new classifications for AIS based on 2D and 3D features, assess scoliosis severity or risk of progression and assist bracing and surgical treatment. It was found that classification accuracy could be improved using computer algorithms that AIS patient follow-up and screening could be done using surface topography thereby limiting radiation and that bracing and surgical treatment could be optimized using simulations. Yet few computer applications are routinely used in clinics. With the development of 3D imaging and databases, huge amounts of clinical and geometrical data need to be taken into consideration when researching and managing AIS. Computer applications based on advanced algorithms will be able to handle tasks that could otherwise not be done which can possibly improve AIS patients’ management. Clinically oriented applications and evidence that they can improve current care will be required for their integration in the clinical setting.

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Acknowledgments

Federal funds were received in support of this work. No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript. Supported by the Fonds de la Recherche en santé du Québec and MENTOR, a strategic training program of the Canadian Institutes of Health Research.

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Authors and Affiliations

  1. Sainte-Justine University Hospital Center, Montreal, QC, Canada

    Philippe Phan, Carl-Éric Aubin & Hubert Labelle

  2. École de technologie supérieure et LIO, Centre de recherche du CHUM, Montreal, QC, Canada

    Neila Mezghani & Jacques A. de Guise

  3. Department of Mechanical Engineering, École Polytechnique de Montréal, Montreal, QC, Canada

    Carl-Éric Aubin

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  1. Philippe Phan
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  2. Neila Mezghani
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  3. Carl-Éric Aubin
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  4. Jacques A. de Guise
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  5. Hubert Labelle
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Correspondence to Philippe Phan.

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Phan, P., Mezghani, N., Aubin, CÉ. et al. Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000–2009. Eur Spine J 20, 1058–1068 (2011). https://doi.org/10.1007/s00586-011-1699-4

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