TY - JOUR
T1 - Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography
T2 - Cadaver and Clinical Workflow Studies
AU - Patel, Niravkumar
AU - Yan, Jiawen
AU - Li, Gang
AU - Monfaredi, Reza
AU - Priba, Lukasz
AU - Donald-Simpson, Helen
AU - Joy, Joyce
AU - Dennison, Andrew
AU - Melzer, Andreas
AU - Sharma, Karun
AU - Iordachita, Iulian
AU - Cleary, Kevin
N1 - This work is funded by National Institutes of Health grants R01EB025179 and R01EB020003. IMSaT Dundee received European Structural Development funds for the Thiel and MRI lab and was supported by the Northern Research Partner Ship of Scotland.
Copyright © 2021 Patel, Yan, Li, Monfaredi, Priba, Donald-Simpson, Joy, Dennison, Melzer, Sharma, Iordachita and Cleary.
PY - 2021/5/10
Y1 - 2021/5/10
N2 - 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.
AB - 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.
KW - Robotics and AI
KW - shoulder arthrography
KW - patient-mounted robot
KW - MRI
KW - Thiel
KW - preclinical
UR - https://europepmc.org/articles/PMC8141739
U2 - 10.3389/frobt.2021.667121
DO - 10.3389/frobt.2021.667121
M3 - Article
C2 - 34041276
SN - 2296-9144
VL - 8
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
M1 - 667121
ER -