机器人辅助图像引导治疗踝关节脱位:可行性研究

Gang Li, R. Vijayan, A. Uneri, B. Shafiq, J. Siewerdsen, K. Cleary
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引用次数: 0

摘要

踝关节创伤是一种越来越常见的损伤,也是长期虚弱的主要原因[1]。仅在美国,每年就有超过200万例踝关节损伤发生[2]。超过50万的踝关节损伤需要手术[1]。多项研究表明,准确复位远端胫腓关节(联合)是良好临床预后的重要预测指标[3],[4]。手术操作的胫骨和腓骨是必要的,以正确对齐和减少关节联合间隙踝关节骨折合并关节联合扭伤。然而,目前采用开放或经皮入路的人工复位技术已被证明会导致韧带联合复位不准确[3],[4]。我们提出了一种新的系统,结合了基于低剂量锥束计算机断层扫描(CBCT)的术中成像和3D- 2D图像配准以及机器人操作腓骨来精确恢复其与胫骨切牙的解剖关系。我们的长期目标是开发机器人辅助术中成像,以精确复位联合,同时最大限度地减少对患者和手术人员的辐射暴露。本研究的重点是探讨机器人设计的可行性和潜在的临床工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robotic Assistant for Image-Guided Treatment of Ankle Joint Dislocations: A Feasibility Study
Trauma to the ankle is an increasingly common injury and is a major source of long-term debility [1]. Over two million ankle injuries occur each year in the United States alone [2]. Over half a million ankle injuries require surgeries [1]. Multiple studies have demon- strated accurate reduction of the distal tibiofibular joint (syndesmosis) as a critical predictor of good clinical outcome [3], [4]. Surgical manipulation of the tibia and fibula is necessary to properly align and reduce the syndesmosis space in ankle fractures involving sprains of the syndesmosis. However, current techniques of manual reduction utilizing open or percutaneous approaches have been shown to result in inaccurate reduction of the syndesmosis [3], [4]. We propose a novel system that combines intraoperative imaging based on low- dose cone-beam computed tomography (CBCT) and 3D- 2D image registration with robotic manipulation of the fibula to precisely restore its anatomical relationship with the tibial incisura. Our long-term goal is to de- velop robotic assistance with intraoperative imaging for precise reduction of the syndesmosis, while minimizing radiation exposure to the patient and the surgical staff. The focus of this study is to investigate the feasibility of the robot design and the potential clinical workflow.
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