|
1
|
Yang M, Sun H, Li L, Wu Q, Yang X, Qu S, Gao F. Use of a Robot-Assisted Thrombectomy System in Acute Ischemic Stroke. JAMA Neurol 2025; 82:525-527. [PMID: 40193082 PMCID: PMC11976640 DOI: 10.1001/jamaneurol.2025.0418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2025] [Accepted: 02/07/2025] [Indexed: 04/10/2025]
Abstract
This observational study examines the feasibility and safety of a new preloaded robot-assisted thrombectomy system specifically designed for mechanical thrombectomy.
Collapse
Affiliation(s)
- Ming Yang
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing
| | - Haoquan Sun
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lei Li
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qi Wu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xingkai Yang
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shen Qu
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feng Gao
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing
| |
Collapse
|
|
2
|
Beaman C, Gautam A, Peterson C, Kaneko N, Ponce L, Saber H, Khatibi K, Morales J, Kimball D, Lipovac JR, Narsinh KH, Baker A, Caton MT, Smith ER, Nour M, Szeder V, Jahan R, Colby GP, Cord BJ, Cooke DL, Tateshima S, Duckwiler G, Waldau B. Robotic Diagnostic Cerebral Angiography: A Multicenter Experience of 113 Patients. J Neurointerv Surg 2024; 16:726-730. [PMID: 37468266 DOI: 10.1136/jnis-2023-020448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/14/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Neurointerventional robotic systems have potential to reduce occupational radiation, improve procedural precision, and allow for future remote teleoperation. A limited number of single institution case reports and series have been published outlining the safety and feasibility of robot-assisted diagnostic cerebral angiography. METHODS This is a multicenter, retrospective case series of patients undergoing diagnostic cerebral angiography at three separate institutions - University of California, Davis (UCD); University of California, Los Angeles (UCLA); and University of California, San Francisco (UCSF). The equipment used was the CorPath GRX Robotic System (Corindus, Waltham, MA). RESULTS A total of 113 cases were analyzed who underwent robot-assisted diagnostic cerebral angiography from September 28, 2020 to October 27, 2022. There were no significant complications related to use of the robotic system including stroke, arterial dissection, bleeding, or pseudoaneurysm formation at the access site. Using the robotic system, 88 of 113 (77.9%) cases were completed successfully without unplanned manual conversion. The principal causes for unplanned manual conversion included challenging anatomy, technical difficulty with the bedside robotic cassette, and hubbing out of the robotic system due to limited working length. For robotic operation, average fluoroscopy time was 13.2 min (interquartile range (IQR), 9.3 to 16.8 min) and average cumulative air kerma was 975.8 mGY (IQR, 350.8 to 1073.5 mGy). CONCLUSIONS Robotic cerebral angiography with the CorPath GRX Robotic System is safe and easily learned by novice users without much prior manual experience. However, there are technical limitations such as a short working length and an inability to support 0.035" wires which may limit its widespread adoption in clinical practice.
Collapse
Affiliation(s)
- Charles Beaman
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Ayushi Gautam
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Catherine Peterson
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Neurosurgery, University of California Davis, Sacramento, CA, USA
| | - Naoki Kaneko
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Luciano Ponce
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Hamidreza Saber
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Kasra Khatibi
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Jose Morales
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - David Kimball
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | | | - Kazim H Narsinh
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Amanda Baker
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - M Travis Caton
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Eric R Smith
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - May Nour
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Viktor Szeder
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Reza Jahan
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Geoffrey P Colby
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology, University of California Los Angeles, Los Angeles, California, USA
- Neurosurgery, University of California Los Angeles, Los Angeles, California, USA
| | - Branden J Cord
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Neurosurgery, University of California Davis, Sacramento, CA, USA
| | - Daniel L Cooke
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Satoshi Tateshima
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Gary Duckwiler
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Ben Waldau
- University of California Stroke Consortium Robotics Workgroup, California, California, USA
- Neurosurgery, University of California Davis, Sacramento, CA, USA
| |
Collapse
|