Advanced Tools for Computer Assisted Orthopaedic Surgery

计算机辅助骨科手术的先进工具

• 批准号: RGPIN-2014-03826
• 负责人: Hodgson, Antony
• 金额: $ 1.97万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587436
• 关键词: Advanced; Tools; Computer; Assisted; Orthopaedic

Objectives I propose to develop three complementary and innovative technologies –local-phase-enhanced 3D ultrasound, bracing and small robots, and quantitative analysis of pre- and post-operative kinematics and implant motion – in order to significantly improve the performance, safety and cost-effectiveness of high-impact orthopaedic interventions in joint repair, joint replacement and trauma. Background Arthritis and trauma are two of the most prevalent conditions requiring surgery in our society, with millions of procedures expected to be performed annually in North America by 2030 with costs in the tens of billions of dollars. Computer-Assisted Orthopaedic Surgery (CAOS) techniques, along with robotic devices, have been developed to try to optimize surgical results by using advanced imaging and guidance technologies to improve the accuracy and precision of surgical procedures, but there has not yet been strong evidence of benefits in terms of functional improvement, pain reduction or reduced need for revision surgery, so a number of health insurance organizations classify CAOS as still investigational. Scientific Approach My overall program seeks to build on three core strengths in our lab to achieve clear gains in reducing use of radiation, quickly and cheaply implementing bone cuts for bone-conserving implants, and accelerating our understanding of the fundamental mechanisms of implant failure. These broad thrusts will serve as the basis for a suite of independently funded translational and commercialization-related follow-on projects. The three main program areas in this proposal are: 1. Local-Phase-Enhanced 3D Ultrasound: We plan to port our current local-phase processing algorithms to a common platform suitable for use in developing live applications. In the longer term, we will incorporate principles of elastography to make estimating bone surfaces in ultrasound images more reliable. 2. Bracing and Small Robots: We will extend our Dynamic Physical Constraint concept to a 3D prototype robot suitable for cadaveric testing. We will also validate and apply a framework for designing bracing systems (which are intended to be faster to set up than robots, but with better accuracy than conventional techniques) to enhance bone-shaping performance in key selected surgical tasks. 3. Quantitative Analysis of Pre- and Post-Operative Kinematics and Implant Motion: We will lay the foundations for accurate quantitative study of function and early implant failure using a Roentgen Stereophotogrammetric Analysis (RSA) protocol for assessing joint and implant motion using clinically-available imaging equipment. We will then use this technique to conduct pilot studies to assess joint and implant motion in patients experiencing loosening. We will also complete our current Open-MRI-based evaluation of femoroacetabular impingement. Anticipated Significance Collectively, the projects proposed here focus on addressing the most significant barriers to widespread acceptance of computer- and robot-assisted techniques by reducing radiation exposure for the surgical team, simplifying and shortening the bone shaping process and improving its accuracy (particularly for the newer bone-conserving implants being used in unicompartmental knee arthroplasties) and providing a faster and more direct process for evaluating claims of improved outcomes for new CAOS procedures. We anticipate that surgeons will benefit from these technologies by being able to quantify key aspects of their surgical performance and using the measured results to improve their practice. Patients will benefit from fewer complications, shorter recovery times and hopefully longer lifespans of their implants, and society will benefit from reduced costs.

目标 我建议开发三种互补的创新技术-局部相位增强3D超声，支撑和小型机器人，以及术前和术后运动学和植入物运动的定量分析-以显着提高关节修复，关节置换和创伤中高影响力骨科干预的性能，安全性和成本效益。 背景 关节炎和创伤是我们社会中需要手术的两种最常见的疾病，预计到2030年，北美每年将进行数百万例手术，费用高达数百亿美元。 计算机辅助骨科手术（CAOS）技术，沿着机器人设备，已经被开发出来，试图通过使用先进的成像和引导技术来优化手术结果，以提高手术程序的准确性和精确度，但尚未有强有力的证据表明在功能改善、疼痛减轻或翻修手术需求减少方面的受益，因此，许多健康保险组织将CAOS归类为仍在研究中。 科学方法 我的整体计划旨在建立在我们实验室的三个核心优势，以减少辐射的使用，快速，廉价地实施骨切割骨保存植入物，并加速我们对植入物失败的基本机制的理解。 这些广泛的推动力将作为一套独立资助的翻译和商业化相关的后续项目的基础。 本提案中的三个主要方案领域是： 1.局部相位增强3D超声：我们计划将我们目前的局部相位处理算法移植到一个适用于开发实时应用程序的通用平台上。 从长远来看，我们将结合弹性成像的原则，使估计骨表面的超声图像更可靠。 2.支撑和小型机器人：我们将把动态物理约束概念扩展到适用于尸体测试的3D原型机器人。 我们还将验证和应用设计支撑系统的框架（其目的是比机器人更快地设置，但比传统技术更准确），以提高关键选定手术任务的骨成形性能。 3.术前和术后运动和植入物运动的定量分析：我们将使用X线立体摄影测量分析（RSA）方案，使用临床可用的成像设备评估关节和植入物运动，为功能和早期植入物失效的准确定量研究奠定基础。 然后，我们将使用该技术进行初步研究，以评估出现松动的患者的关节和植入物活动。 我们还将完成目前基于开放MRI的股骨髋臼撞击评价。 预期意义 总的来说，这里提出的项目侧重于通过减少手术团队的辐射暴露来解决广泛接受计算机和机器人辅助技术的最重要障碍，简化和缩短骨成形过程并提高其准确性（特别是用于单间室膝关节置换术的新型骨保存植入物）并为评估新CAOS程序的改善结果的声明提供更快和更直接的过程。 我们预计，外科医生将受益于这些技术，能够量化他们的手术性能的关键方面，并使用测量结果，以改善他们的做法。 患者将受益于更少的并发症，更短的恢复时间和更长的植入寿命，社会将受益于降低成本。