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首页> 外文期刊>European spine journal >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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Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000–2009

机译:用于协助评估和治疗青少年特发性脊柱侧弯的计算机算法和应用:2000-2009年发表文章的综述

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摘要

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...
机译:青少年特发性脊柱侧凸(AIS)是一种复杂的脊柱畸形,其评估和治疗面临许多挑战。已经开发了计算机应用程序来协助临床医生。已经对AIS评估和治疗中使用的计算机应用进行了文献综述。分析了所使用的算法,其准确性和临床可用性。计算机应用程序已被用来基于2D和3D特征创建AIS的新分类,评估脊柱侧弯的严重程度或进展风险,并协助支撑和手术治疗。结果发现,使用计算机算法可以提高分类的准确性,可以使用表面形貌来对AIS患者进行随访和筛查,从而限制放射,并且可以通过模拟来优化支撑和手术治疗。然而,临床上通常很少使用计算机应用程序。随着3D成像和数据库的发展,在研究和管理AIS时需要考虑大量的临床和几何数据。基于高级算法的计算机应用程序将能够处理原本无法完成的任务,从而可能改善AIS患者的管理。将其整合到临床环境中需要以临床为导向的应用和能改善当前护理的证据。

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