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用于辅助评估和治疗青少年特发性脊柱侧凸的计算机算法和应用:对 2000-2009 年发表文献的综述。

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

机构信息

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

出版信息

Eur Spine J. 2011 Jul;20(7):1058-68. doi: 10.1007/s00586-011-1699-4. Epub 2011 Jan 30.

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.

摘要

青少年特发性脊柱侧凸(AIS)是一种复杂的脊柱畸形,其评估和治疗存在诸多挑战。已经开发了计算机应用程序来协助临床医生。对用于 AIS 评估和治疗的计算机应用程序进行了文献回顾。分析了所使用的算法、准确性和临床可用性。计算机应用程序已用于根据 2D 和 3D 特征创建 AIS 的新分类,评估脊柱侧凸的严重程度或进展风险,并协助支具和手术治疗。研究发现,使用 AIS 患者的计算机算法可以提高分类准确性后续和筛查可以通过表面拓扑结构进行,从而限制辐射,并且可以通过模拟来优化支具和手术治疗。然而,很少有计算机应用程序在临床上常规使用。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。基于先进算法的计算机应用程序将能够处理否则无法完成的任务,这可能会改善 AIS 患者的管理。需要具有临床导向的应用程序以及它们能够改善现有护理的证据,才能将其整合到临床环境中。

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