Patel Niravkumar, Yan Jiawen, Li Gang, Monfaredi Reza, Priba Lukasz, Donald-Simpson Helen, Joy Joyce, Dennison Andrew, Melzer Andreas, Sharma Karun, Iordachita Iulian, Cleary Kevin
LCSR, Johns Hopkins University, Baltimore, MD, United States.
Children's National Health System, Washington, DC, United States.
Front Robot AI. 2021 May 10;8:667121. doi: 10.3389/frobt.2021.667121. eCollection 2021.
This paper presents an intraoperative MRI-guided, patient-mounted robotic system for shoulder arthrography procedures in pediatric patients. The robot is designed to be compact and lightweight and is constructed with nonmagnetic materials for MRI safety. Our goal is to transform the current two-step arthrography procedure (CT/x-ray-guided needle insertion followed by diagnostic MRI) into a streamlined single-step ionizing radiation-free procedure under MRI guidance. The MR-conditional robot was evaluated in a Thiel embalmed cadaver study and healthy volunteer studies. The robot was attached to the shoulder using straps and ten locations in the shoulder joint space were selected as targets. For the first target, contrast agent (saline) was injected to complete the clinical workflow. After each targeting attempt, a confirmation scan was acquired to analyze the needle placement accuracy. During the volunteer studies, a more comfortable and ergonomic shoulder brace was used, and the complete clinical workflow was followed to measure the total procedure time. In the cadaver study, the needle was successfully placed in the shoulder joint space in all the targeting attempts with translational and rotational accuracy of 2.07 ± 1.22 mm and 1.46 ± 1.06 degrees, respectively. The total time for the entire procedure was 94 min and the average time for each targeting attempt was 20 min in the cadaver study, while the average time for the entire workflow for the volunteer studies was 36 min. No image quality degradation due to the presence of the robot was detected. This Thiel-embalmed cadaver study along with the clinical workflow studies on human volunteers demonstrated the feasibility of using an MR-conditional, patient-mounted robotic system for MRI-guided shoulder arthrography procedure. Future work will be focused on moving the technology to clinical practice.
本文介绍了一种用于儿科患者肩关节造影手术的术中MRI引导、患者安装式机器人系统。该机器人设计得紧凑且轻便,采用非磁性材料制造以确保MRI安全。我们的目标是将当前的两步造影手术(CT/ X射线引导下的针插入,随后进行诊断性MRI)转变为在MRI引导下的简化单步无电离辐射手术。该MR条件兼容机器人在蒂尔(Thiel)防腐尸体研究和健康志愿者研究中进行了评估。使用绑带将机器人固定在肩部,并选择肩关节间隙中的十个位置作为目标。对于第一个目标,注入造影剂(盐水)以完成临床工作流程。每次靶向尝试后,获取确认扫描以分析针的放置准确性。在志愿者研究中,使用了更舒适且符合人体工程学的肩部支架,并遵循完整的临床工作流程来测量总手术时间。在尸体研究中,所有靶向尝试均成功将针放置在肩关节间隙中,平移和旋转精度分别为2.07±1.22毫米和1.46±1.06度。在尸体研究中,整个手术的总时间为94分钟,每次靶向尝试的平均时间为20分钟,而志愿者研究的整个工作流程的平均时间为36分钟。未检测到由于机器人的存在而导致的图像质量下降。这项蒂尔防腐尸体研究以及对人类志愿者的临床工作流程研究证明了使用MR条件兼容、患者安装式机器人系统进行MRI引导的肩关节造影手术的可行性。未来的工作将集中于将该技术应用于临床实践。