> Details

Patel, Niravkumar [Author]; Yan, Jiawen [Author]; Li, Gang [Author]; Monfaredi, Reza [Author]; Priba, Lukasz [Author]; Donald-Simpson, Helen [Author]; Joy, Joyce [Author]; Dennison, Andrew [Author]; Melzer, Andreas [Author]; Sharma, Karun [Author]; Iordachita, Iulian [Author]; Cleary, Kevin [Author]

Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies
  • Contributor: Patel, Niravkumar [Author]; Yan, Jiawen [Author]; Li, Gang [Author]; Monfaredi, Reza [Author]; Priba, Lukasz [Author]; Donald-Simpson, Helen [Author]; Joy, Joyce [Author]; Dennison, Andrew [Author]; Melzer, Andreas [Author]; Sharma, Karun [Author]; Iordachita, Iulian [Author]; Cleary, Kevin [Author]
  • imprint: Lausanne: Frontiers Research Foundation, [2023]
  • Published in: Frontiers in robotics and AI ; 8, (2021)
  • Language: English
  • Keywords: MRI ; patient-mounted robot ; Thiel ; shoulder arthrography ; preclinical
  • Origination:
  • Footnote:
  • Description: This paper presents an intraoperative MRI-guided, patient-mounted robotic system forshoulder arthrography procedures in pediatric patients. The robot is designed to becompact 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-guidedneedle insertion followed by diagnostic MRI) into a streamlined single-step ionizingradiation-free procedure under MRI guidance. The MR-conditional robot was evaluatedin a Thiel embalmed cadaver study and healthy volunteer studies. The robot was attachedto the shoulder using straps and ten locations in the shoulder joint space were selected astargets. For the first target, contrast agent (saline) was injected to complete the clinicalworkflow. After each targeting attempt, a confirmation scan was acquired to analyze theneedle placement accuracy. During the volunteer studies, a more comfortable andergonomic shoulder brace was used, and the complete clinical workflow was followedto measure the total procedure time. In the cadaver study, the needle was successfullyplaced in the shoulder joint space in all the targeting attempts with translational androtational accuracy of 2.07 ± 1.22mm and 1.46 ± 1.06 degrees, respectively. The totaltime for the entire procedure was 94 min and the average time for each targeting attemptwas 20 min in the cadaver study, while the average time for the entire workflow for thevolunteer studies was 36 min. No image quality degradation due to the presence of therobot was detected. This Thiel-embalmed cadaver study along with the clinical workflowstudies on human volunteers demonstrated the feasibility of using an MR-conditional,patient-mounted robotic system for MRI-guided shoulder arthrography procedure. Futurework will be focused on moving the technology to clinical practice.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)