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Legeza PT, Lettenberger AB, Murali B, Johnson LR, Berczeli M, Byrne MD, Britz G, O'Malley MK, Lumsden AB. Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics. J Endovasc Ther 2024; 31:457-465. [PMID: 36147025 DOI: 10.1177/15266028221125592] [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] [Indexed: 11/15/2022]
Abstract
PURPOSE Robotic-assisted carotid artery stenting (CAS) cases have been demonstrated with promising results. However, no quantitative measurements have been made to compare manual with robotic-assisted CAS. This study aims to quantify surgical performance using tool tip kinematic data and metrics of precision during CAS with manual and robotic control in an ex vivo model. MATERIALS AND METHODS Transfemoral CAS cases were performed in a high-fidelity endovascular simulator. Participants completed cases with manual and robotic techniques in 2 different carotid anatomies in random order. C-arm angulations, table position, and endovascular devices were standardized. Endovascular tool tip kinematic data were extracted. We calculated the spectral arc length (SPARC), average velocity, and idle time during navigation in the common carotid artery and lesion crossing. Procedural time, fluoroscopy time, movements of the deployed filter wire, precision of stent, and balloon positioning were recorded. Data were analyzed and compared between the 2 modalities. RESULTS Ten participants performed 40 CAS cases with a procedural success of 100% and 0% residual stenosis. The median procedural time was significantly higher during the robotic-assisted cases (seconds, median [interquartile range, IQR]: 128 [49.5] and 161.5 [62.5], p=0.02). Fluoroscopy time differed significantly between manual and robotic-assisted procedures (seconds, median [IQR]: 81.5 [32] and 98.5 [39.5], p=0.1). Movement of the deployed filter wire did not show significant difference between manual and robotic interventions (mm, median [IQR]: 13 [10.5] and 12.5 [11], p=0.5). The postdilation balloon exceeded the margin of the stent with a median of 2 [1] mm in both groups. Navigation with robotic assistance showed significantly lower SPARC values (-5.78±3.14 and -8.63±3.98, p=0.04) and higher idle time values (8.92±8.71 and 3.47±3.9, p=0.02) than those performed manually. CONCLUSIONS Robotic-assisted and manual CAS cases are comparable in the precision of stent and balloon positioning. Navigation in the carotid artery is associated with smoother motion and higher idle time values. These findings highlight the accuracy and the motion stabilizing capability of the endovascular robotic system. CLINICAL IMPACT Robotic assistance in the treatment of peripheral vascular disease is an emerging field and may be a tool for radiation protection and the geographic distribution of endovascular interventions in the future. This preclinical study compares the characteristics of manual and robotic-assisted carotid stenting (CAS). Our results highlight, that robotic-assisted CAS is associated with precise navigation and device positioning, and smoother navigation compared to manual CAS.
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Affiliation(s)
- Peter T Legeza
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX, USA
- Department of Vascular and Endovascular Surgery, Semmelweis University, Budapest, Hungary
| | - Ahalya B Lettenberger
- Department of Mechanical Engineering, Mechatronics and Haptic Interfaces Laboratory, Rice University, Houston, TX, USA
| | - Barathwaj Murali
- Department of Mechanical Engineering, Mechatronics and Haptic Interfaces Laboratory, Rice University, Houston, TX, USA
| | - Lianne R Johnson
- Department of Mechanical Engineering, Mechatronics and Haptic Interfaces Laboratory, Rice University, Houston, TX, USA
| | - Marton Berczeli
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX, USA
- Department of Vascular and Endovascular Surgery, Semmelweis University, Budapest, Hungary
| | - Michael D Byrne
- Department of Psychological Sciences, Rice University, Houston, TX, USA
| | - Gavin Britz
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX, USA
| | - Marcia K O'Malley
- Department of Mechanical Engineering, Mechatronics and Haptic Interfaces Laboratory, Rice University, Houston, TX, USA
| | - Alan B Lumsden
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX, USA
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El Naamani K, Musmar B, Gupta N, Ikhdour O, Abdelrazeq H, Ghanem M, Wali MH, El-Hajj J, Alhussein A, Alhussein R, Tjoumakaris SI, Gooch MR, Rosenwasser RH, Jabbour PM, Herial NA. The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review. World Neurosurg 2024; 184:15-22. [PMID: 38185459 DOI: 10.1016/j.wneu.2024.01.012] [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: 08/14/2023] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 01/09/2024]
Abstract
BACKGROUND The emergence of artificial intelligence (AI) has significantly influenced the diagnostic evaluation of stroke and has revolutionized acute stroke care delivery. The scientific evidence evaluating the role of AI, especially in areas of stroke treatment and rehabilitation is limited but continues to accumulate. We performed a systemic review of current scientific evidence evaluating the use of AI in stroke evaluation and care and examined the publication trends during the past decade. METHODS A systematic search of electronic databases was conducted to identify all studies published from 2012 to 2022 that incorporated AI in any aspect of stroke care. Studies not directly relevant to stroke care in the context of AI and duplicate studies were excluded. The level of evidence and publication trends were examined. RESULTS A total of 623 studies were examined, including 101 reviews (16.2%), 9 meta-analyses (1.4%), 140 original articles on AI methodology (22.5%), 2 case reports (0.3%), 2 case series (0.3%), 31 case-control studies (5%), 277 cohort studies (44.5%), 16 cross-sectional studies (2.6%), and 45 experimental studies (7.2%). The highest published area of AI in stroke was diagnosis (44.1%) and the lowest was rehabilitation (12%). A 10-year trend analysis revealed a significant increase in AI literature in stroke care. CONCLUSIONS Most research on AI is in the diagnostic area of stroke care, with a recent noteworthy trend of increased research focus on stroke treatment and rehabilitation.
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Affiliation(s)
- Kareem El Naamani
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Basel Musmar
- School of Medicine, An-Najah National University, Nablus, Palestine
| | - Nithin Gupta
- Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, North Carolina, USA
| | - Osama Ikhdour
- School of Medicine, An-Najah National University, Nablus, Palestine
| | | | - Marc Ghanem
- Gilbert and Rose-Marie Chaghoury School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Murad H Wali
- College of Public Health, Temple University, Philadelphia, Pennsylvania, USA
| | - Jad El-Hajj
- School of Medicine, St. George's University, St. George, Grenada
| | - Abdulaziz Alhussein
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Reyoof Alhussein
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Stavropoula I Tjoumakaris
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Michael R Gooch
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Robert H Rosenwasser
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Pascal M Jabbour
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Nabeel A Herial
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
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Mendes Pereira V, Rice H, De Villiers L, Sourour N, Clarencon F, Spears J, Tomasello A, Hernandez D, Cancelliere NM, Liu XYE, Nicholson P, Costalat V, Gascou G, Mordasini P, Gralla J, Martínez-Galdámez M, Galvan Fernandez J, Killer-Oberpfalzer M, Liebeskind DS, Turner RD, Blanc R, Piotin M. Evaluation of effectiveness and safety of the CorPath GRX robotic system in endovascular embolization procedures of cerebral aneurysms. J Neurointerv Surg 2024; 16:405-411. [PMID: 37793795 PMCID: PMC10958306 DOI: 10.1136/jnis-2023-020161] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/07/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Robotic-assisted neurointervention was recently introduced, with implications that it could be used to treat neurovascular diseases. OBJECTIVE To evaluate the effectiveness and safety of the robotic-assisted platform CorPath GRX for treating cerebral aneurysms. METHODS This prospective, international, multicenter study enrolled patients with brain aneurysms that required endovascular coiling and/or stent-assisted coiling. The primary effectiveness endpoint was defined as successful completion of the robotic-assisted endovascular procedure without any unplanned conversion to manual treatment with guidewire or microcatheter navigation, embolization coil(s) or intracranial stent(s) deployment, or an inability to navigate vessel anatomy. The primary safety endpoint included intraprocedural and periprocedural events. RESULTS The study enrolled 117 patients (74.4% female) with mean age of 56.6 years from 10 international sites,. Headache was the most common presenting symptom in 40/117 (34.2%) subjects. Internal carotid artery was the most common location (34/122, 27.9%), and the mean aneurysm height and neck width were 5.7±2.6 mm and 3.5±1.4 mm, respectively. The overall procedure time was 117.3±47.3 min with 59.4±32.6 min robotic procedure time. Primary effectiveness was achieved in 110/117 (94%) subjects with seven subjects requiring conversion to manual for procedure completion. Only four primary safety events were recorded with two intraprocedural aneurysm ruptures and two strokes. A Raymond-Roy Classification Scale score of 1 was achieved in 71/110 (64.5%) subjects, and all subjects were discharged with a modified Rankin Scale score of ≤2. CONCLUSIONS This first-of-its-kind robotic-assisted neurovascular trial demonstrates the effectiveness and safety of the CorPath GRX System for endovascular embolization of cerebral aneurysm procedures. TRIAL REGISTRATION NUMBER NCT04236856.
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Affiliation(s)
- Vitor Mendes Pereira
- Division of Neurosurgery, Department of Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Hal Rice
- Department of Neurointervention, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Laetitia De Villiers
- Department of Neurointervention, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Nader Sourour
- Department of Interventional Neuroradiology, Hopital Universitaire Pitie Salpetriere, Paris, France
| | - Frédéric Clarencon
- Department of Interventional Neuroradiology, Hopital Universitaire Pitie Salpetriere, Paris, France
| | - Julian Spears
- Division of Neurosurgery, Department of Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Alejandro Tomasello
- Department of Neurointervention, Hospital Vall d'Hebron, Barcelona, Catalunya, Spain
| | - David Hernandez
- Department of Neurointervention, Hospital Vall d'Hebron, Barcelona, Catalunya, Spain
| | - Nicole M Cancelliere
- Division of Neurosurgery, Department of Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Xiao Yu Eileen Liu
- Division of Neurosurgery, Department of Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Patrick Nicholson
- Department of Medical Imaging, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Vincent Costalat
- Department of Neuroradiology, Centre Hospitalier Universitaire de Montpellier, Montpellier, France
| | - Gregory Gascou
- Department of Neuroradiology, Centre Hospitalier Universitaire de Montpellier, Montpellier, France
| | - Pasquale Mordasini
- Department of Diagnostic and Interventional Neuroradiology, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Jan Gralla
- Department of Diagnostic and Interventional Neuroradiology, Inselspital Universitatsspital Bern, Bern, Switzerland
| | - Mario Martínez-Galdámez
- Department of Interventional Neuroradiology and Endovascular Neurosurgery, Hospital Clinico Universitario de Valladolid, Valladolid, Spain
| | - Jorge Galvan Fernandez
- Department of Interventional Neuroradiology and Endovascular Neurosurgery, Hospital Clinico Universitario de Valladolid, Valladolid, Spain
| | | | | | - Raymond D Turner
- Division of Neurosurgery, Prisma Health, Greenville, South Carolina, USA
| | - Raphael Blanc
- Department of Interventional Neuroradiology, Fondation Rothschild, Paris, France
| | - Michel Piotin
- Department of Interventional Neuroradiology, Fondation Rothschild, Paris, France
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4
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Dreyfus R, Boehler Q, Lyttle S, Gruber P, Lussi J, Chautems C, Gervasoni S, Berberat J, Seibold D, Ochsenbein-Kölble N, Reinehr M, Weisskopf M, Remonda L, Nelson BJ. Dexterous helical magnetic robot for improved endovascular access. Sci Robot 2024; 9:eadh0298. [PMID: 38354258 DOI: 10.1126/scirobotics.adh0298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 01/17/2024] [Indexed: 02/16/2024]
Abstract
Treating vascular diseases in the brain requires access to the affected region inside the body. This is usually accomplished through a minimally invasive technique that involves the use of long, thin devices, such as wires and tubes, that are manually maneuvered by a clinician within the bloodstream. By pushing, pulling, and twisting, these devices are navigated through the tortuous pathways of the blood vessels. The outcome of the procedure heavily relies on the clinician's skill and the device's ability to navigate to the affected target region in the bloodstream, which is often inhibited by tortuous blood vessels. Sharp turns require high flexibility, but this flexibility inhibits translation of proximal insertion to distal tip advancement. We present a highly dexterous, magnetically steered continuum robot that overcomes pushability limitations through rotation. A helical protrusion on the device's surface engages with the vessel wall and translates rotation to forward motion at every point of contact. An articulating magnetic tip allows for active steerability, enabling navigation from the aortic arch to millimeter-sized arteries of the brain. The effectiveness of the magnetic continuum robot has been demonstrated through successful navigation in models of the human vasculature and in blood vessels of a live pig.
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Affiliation(s)
- R Dreyfus
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - Q Boehler
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - S Lyttle
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - P Gruber
- Department of Neuroradiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - J Lussi
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - C Chautems
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - S Gervasoni
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - J Berberat
- Department of Neuroradiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - D Seibold
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
| | - N Ochsenbein-Kölble
- Department of Obstetrics, University Hospital Zurich, Zurich, Switzerland
- Institute of Pathology and Molecular Pathology, University of Zurich, Zurich, Switzerland
| | - M Reinehr
- University of Zurich, Zurich, Switzerland
| | - M Weisskopf
- Center for Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - L Remonda
- Department of Neuroradiology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - B J Nelson
- Multi-Scale Robotics Lab, ETH Zurich, Zurich, Switzerland
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5
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Liu R, He H, Zhang L, Fan Y, Wang J, Wang W. In vitro models for the experimental evaluation of mechanical thrombectomy devices in acute ischemic stroke. Interv Neuroradiol 2023; 29:759-767. [PMID: 35971288 PMCID: PMC10680957 DOI: 10.1177/15910199221118404] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/13/2022] [Accepted: 07/17/2022] [Indexed: 11/16/2022] Open
Abstract
Mechanical thrombectomy has become an important method for the treatment of acute ischemic stroke for large vessel occlusions. The current hotspots of mechanical thrombectomy are optimizing the treatment methods, improving the recanalization rate and reducing complications. The in vitro model has become a common and convenient method for mechanical thrombectomy research. This review summarizes the in vitro model in the following aspects: the preparation of clot analogues; the experimental platform; the application of the in vitro model in the testing of thrombectomy devices; and the advantages, limitations and future trends of the in vitro experimental model. This review describes the characteristics and applications of the in vitro experimental model with the hope that the in vitro experimental model will be further improved and play a more effective role in the study of mechanical thrombectomy.
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Affiliation(s)
- Ronghui Liu
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beihang University, Beijing, China
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Beijing, China
| | - Hongping He
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Beijing, China
| | - Luo Zhang
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Beijing, China
| | - Yubo Fan
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beihang University, Beijing, China
| | - Jun Wang
- Department of Neurology, the First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Weidong Wang
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Beijing, China
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6
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Jackson B, Crinnion W, De Iturrate Reyzabal M, Robertshaw H, Bergeles C, Rhode K, Booth T. Comparative verification of control methodology for robotic interventional neuroradiology procedures. Int J Comput Assist Radiol Surg 2023; 18:1977-1986. [PMID: 37460915 PMCID: PMC10589154 DOI: 10.1007/s11548-023-02991-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 06/27/2023] [Indexed: 10/22/2023]
Abstract
PURPOSE The use of robotics is emerging for performing interventional radiology procedures. Robots in interventional radiology are typically controlled using button presses and joystick movements. This study identified how different human-robot interfaces affect endovascular surgical performance using interventional radiology simulations. METHODS Nine participants performed a navigation task on an interventional radiology simulator with three different human-computer interfaces. Using Simulation Open Framework Architecture we developed a simulation profile of vessels, catheters and guidewires. We designed and manufactured a bespoke haptic interventional radiology controller for robotic systems to control the simulation. Metrics including time taken for navigation, number of incorrect catheterisations, number of catheter and guidewire prolapses and forces applied to vessel walls were measured and used to characterise the interfaces. Finally, participants responded to a questionnaire to evaluate the perception of the controllers. RESULTS Time taken for navigation, number of incorrect catheterisations and the number of catheter and guidewire prolapses, showed that the device-mimicking controller is better suited for controlling interventional neuroradiology procedures over joystick control approaches. Qualitative metrics also showed that interventional radiologists prefer a device-mimicking controller approach over a joystick approach. CONCLUSION Of the four metrics used to compare and contrast the human-robot interfaces, three conclusively showed that a device-mimicking controller was better suited for controlling interventional neuroradiology robotics.
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Affiliation(s)
- Benjamin Jackson
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - William Crinnion
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - Mikel De Iturrate Reyzabal
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - Harry Robertshaw
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - Christos Bergeles
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - Kawal Rhode
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
| | - Thomas Booth
- Biomedical Engineering and Imaging Sciences, Kings College London, 1 Lambeth Palace Rd, London, SE1 7EU UK
- Department of Neuroradiology, Kings College Hospital, Ruskin Wing, London, SE5 9RS UK
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7
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Morrison JD, Joshi KC, Beer Furlan A, Kolb B, Radaideh Y, Munich S, Crowley W, Chen M. Feasibility of robotic neuroendovascular surgery. Interv Neuroradiol 2023:15910199221097898. [PMID: 37543370 DOI: 10.1177/15910199221097898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND Several recent reports of CorPath GRX vascular robot (Cordinus Vascular Robotics, Natick, MA) use intracranially suggest feasibility of neuroendovascular application. Further use and development is likely. During this progression it is important to understand endovascular robot feasibility principles established in cardiac and peripheral vascular literature which enabled extension intracranially. Identification and discussion of robotic proof of concept principals from sister disciplines may help guide safe and accountable neuroendovascular application. OBJECTIVE Summarize endovascular robotic feasibility principals established in cardiac and peripheral vascular literature relevant to neuroendovascular application. METHODS Searches of PubMed, Scopus and Google Scholar were conducted under PRISMA guidelines1 using MeSH search terms. Abstracts were uploaded to Covidence citation review (Covidence, Melbourne, AUS) using RIS format. Pertinent articles underwent full text review and findings are presented in narrative and tabular format. RESULTS Search terms generated 1642 articles; 177, 265 and 1200 results for PubMed, Scopus and Google Scholar respectively. With duplicates removed, title review identified 176 abstracts. 55 articles were included, 45 from primary review and 10 identified during literature review. As it pertained to endovascular robotic feasibility proof of concept 12 cardiac, 3 peripheral vascular and 5 neuroendovascular studies were identified. CONCLUSIONS Cardiac and peripheral vascular literature established endovascular robot feasibility and efficacy with equivalent to superior outcomes after short learning curves while reducing radiation exposure >95% for the primary operator. Limitations of cost, lack of haptic integration and coaxial system control continue, but as it stands neuroendovascular robotic implementation is worth continued investigation.
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Affiliation(s)
- Joseph D Morrison
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Krishna C Joshi
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Andre Beer Furlan
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Bradley Kolb
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Yazan Radaideh
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Stephan Munich
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Webster Crowley
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
| | - Michael Chen
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, USA
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8
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Costa M, Tataryn Z, Alobaid A, Pierre C, Basamh M, Somji M, Loh Y, Patel A, Monteith S. Robotically-assisted neuro-endovascular procedures: Single-Center Experience and a Review of the Literature. Interv Neuroradiol 2023; 29:201-210. [PMID: 35296166 PMCID: PMC10152820 DOI: 10.1177/15910199221082475] [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: 11/23/2021] [Revised: 01/21/2022] [Accepted: 02/04/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Robotics could expand treatment of rapidly progressive pathologies such as acute ischemic stroke, with the potential to provide populations in need prompt access to neuro-endovascular procedures. METHODS Robotically-assisted (RA) neuro-endovascular procedures (RANPs) performed at our institution were retrospectively examined (RA-group, RG). A control group of manual neuro-endovascular procedures was selected (manual group, MG). Total operating room (OR) time, procedural time, contrast media use, fluoroscopy time, conversion from RA to manual control, procedural success, and complication rates were compared. A learning curve was identified. RESULTS Forty-one (41) RANPs were analyzed. Ages ranged from 20-82 y.o. Indications included diagnostic cerebral angiography (37), extracranial carotid artery stenting (3), and transverse sinus stent (1). Total OR time was longer in RG (median 86 vs. 71 min, p < 0.01). Procedural time (median 56 vs. 45 min, p = 0.12), fluoroscopy time (median 12 vs. 12 min, p = 0.69) and contrast media usage (82 vs. 92 ml, p = 0.54) were not significantly different. Patient radiation exposure was similar, considering similar fluoroscopy times. Radiation exposure and lead apron use were virtually absent for the main surgeon in RG. Procedural success was 83% and conversion from RA to manual control was 17% in RG. No treatment-related complications occurred. A learning curve showed that, after the fifth procedure, procedural times reduced and stabilized. CONCLUSIONS This series may contribute to further demonstrating the safety and feasibility of RANPs. RANPs can potentially reduce radiation exposure and physical burden for health personnel, expand acute cerebrovascular treatment to underserved areas, and enhance telementoring. Prospective studies are necessary for results to be generalized.
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Affiliation(s)
- Matias Costa
- Swedish Neuroscience
Institute, Seattle, WA, USA
| | | | - Abdullah Alobaid
- National Neurosciences Institute, King
Fahad Medical City, Riyadh, Saudi Arabia
| | | | | | | | - Yince Loh
- Swedish Neuroscience
Institute, Seattle, WA, USA
| | - Akshal Patel
- Swedish Neuroscience
Institute, Seattle, WA, USA
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9
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Sun JX, Xu JZ, An Y, Ma SY, Liu CQ, Zhang SH, Luan Y, Wang SG, Xia QD. Future in precise surgery: Fluorescence-guided surgery using EVs derived fluorescence contrast agent. J Control Release 2023; 353:832-841. [PMID: 36496053 DOI: 10.1016/j.jconrel.2022.12.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/04/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022]
Abstract
Surgery is the only cure for many solid tumors, but positive resection margins, damage to vital nerves, vessels and organs during surgery, and the range and extent of lymph node dissection are significant concerns which hinder the development of surgery. The emergence of fluorescence-guided surgery (FGS) means a farewell to the era when surgeons relied only on visual and tactile feedback, and it gives surgeons another eye to distinguish tumors from normal tissues for precise resection and helps to find a balance between complete tumor lesions removal and maximal organ function conservation. However, the existing synthetic fluorescence contrast agent has flaws in safety, specificity and biocompatibility to various extents. Extracellular vesicles (EVs) are a group of heterogeneous types of cell-derived membranous structures present in all biological fluids. EVs, especially engineered targeting EVs, play an increasingly important role in drug delivery because of their good biocompatibility, validated safety and targeting ability. Nevertheless, few studies have employed EVs loaded with fluorophores to construct fluorescence contrast agents and used them in FGS. Here, we systematically reviewed the current state of knowledge regarding FGS, fundamental characteristics of EVs, and the development of engineered targeting EVs, and put forward a novel strategy and procedures to produce EVs-based fluorescence contrast agent used in fluorescence-guided surgery.
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Affiliation(s)
- Jian-Xuan Sun
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Jin-Zhou Xu
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Ye An
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Si-Yang Ma
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Chen-Qian Liu
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Si-Han Zhang
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China
| | - Yang Luan
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China.
| | - Shao-Gang Wang
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China.
| | - Qi-Dong Xia
- Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, 430030 Wuhan, China.
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10
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Song C, Xia S, Zhang H, Zhang L, Li X, Wang K, Lu Q. Novel Endovascular Interventional Surgical Robotic System Based on Biomimetic Manipulation. MICROMACHINES 2022; 13:mi13101587. [PMID: 36295940 PMCID: PMC9611341 DOI: 10.3390/mi13101587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 05/14/2023]
Abstract
Endovascular therapy has emerged as a crucial therapeutic method for treating vascular diseases. Endovascular surgical robots have been used to enhance endovascular therapy. However, to date, there are no universal endovascular surgical robots that support molds of different types of devices for treating vascular diseases. We developed a novel endovascular surgical robotic system that can independently navigate the intravascular region, advance and retract devices, and deploy stents. This robot has four features: (1) The bionic design of the robot can fully simulate the entire grasping process; (2) the V-shaped relay gripper waived the need to redesign special guidewires and catheters for continuous rotation; (3) the handles designed based on the feedback mechanism can simulate push resistance and reduce iatrogenic damage; and (4) the detachable design of the grippers can reduce cross-infection risk and medical costs. We verified its performance by demonstrating six different types of endovascular surgeries. Early evaluation of the novel endovascular robotic system demonstrated its practicability and safety in endovascular surgeries.
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Affiliation(s)
- Chao Song
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Shibo Xia
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Hao Zhang
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Lei Zhang
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Xiaoye Li
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
| | - Kundong Wang
- Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Correspondence: (K.W.); (Q.L.)
| | - Qingsheng Lu
- Department of Vascular Surgery, Shanghai Changhai Hospital, Navy Medical University, Shanghai 200433, China
- Correspondence: (K.W.); (Q.L.)
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11
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Kupczyk PA, Attenberger UI, Meyer C, Luetkens JA, Kuetting D. Pilot Animal Study on Robotic-Assisted Endovascular Visceral Interventions. Cardiovasc Intervent Radiol 2022; 45:1207-1213. [PMID: 35764819 PMCID: PMC9307548 DOI: 10.1007/s00270-022-03204-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022]
Abstract
Purpose To evaluate technical feasibility and safety of common endovascular visceral interventions using a vascular robotic platform through preclinical study. Material and Methods The CorPath GRX Robotic System (Corindus Inc, Waltham, Massachusetts) was tested in an anesthetized pig for its ability to navigate various commercially available devices in the abdominal vasculature and to perform routine endovascular visceral procedures. After manually placing a guiding catheter in the celiac trunk, several visceral branches were probed with microcatheters and -wires under robotic assistance, and embolization with liquids (lipiodol), detachable coils and plugs were performed. Furthermore, the origin of the celiac trunk was stented before accessing the left hypogastric artery for pelvic embolization. Results All procedures were performed with technical success and without any complications. Navigating the catheters and wires via the steering console proved intuitive. Coil, plug and stent deployment were exclusively controlled by remote with remarkable precision and stability. Conclusion Robotic-assisted visceral embolization and stenting as well as pelvic embolization using the CorPath GRX System is feasible and safe. Application of the platform in the abdominal vasculature is demonstrated for the first time. Considering the precision and the potential for reducing the operator’s radiation exposure, further research in this area is highly encouraged to enable translation into clinical practice.
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Affiliation(s)
- Patrick A Kupczyk
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. .,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Carsten Meyer
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
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12
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Crinnion W, Jackson B, Sood A, Lynch J, Bergeles C, Liu H, Rhode K, Mendes Pereira V, Booth TC. Robotics in neurointerventional surgery: a systematic review of the literature. J Neurointerv Surg 2022; 14:539-545. [PMID: 34799439 PMCID: PMC9120401 DOI: 10.1136/neurintsurg-2021-018096] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 10/24/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Robotically performed neurointerventional surgery has the potential to reduce occupational hazards to staff, perform intervention with greater precision, and could be a viable solution for teleoperated neurointerventional procedures. OBJECTIVE To determine the indication, robotic systems used, efficacy, safety, and the degree of manual assistance required for robotically performed neurointervention. METHODS We conducted a systematic review of the literature up to, and including, articles published on April 12, 2021. Medline, PubMed, Embase, and Cochrane register databases were searched using medical subject heading terms to identify reports of robotically performed neurointervention, including diagnostic cerebral angiography and carotid artery intervention. RESULTS A total of 8 articles treating 81 patients were included. Only one case report used a robotic system for intracranial intervention, the remaining indications being cerebral angiography and carotid artery intervention. Only one study performed a comparison of robotic and manual procedures. Across all studies, the technical success rate was 96% and the clinical success rate was 100%. All cases required a degree of manual assistance. No studies had clearly defined patient selection criteria, reference standards, or index tests, preventing meaningful statistical analysis. CONCLUSIONS Given the clinical success, it is plausible that robotically performed neurointerventional procedures will eventually benefit patients and reduce occupational hazards for staff; however, there is no high-level efficacy and safety evidence to support this assertion. Limitations of current robotic systems and the challenges that must be overcome to realize the potential for remote teleoperated neurointervention require further investigation.
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Affiliation(s)
- William Crinnion
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Ben Jackson
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Avnish Sood
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Jeremy Lynch
- Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK
| | - Christos Bergeles
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Hongbin Liu
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Kawal Rhode
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Vitor Mendes Pereira
- Division of Neuroradiology, Department of Medical Imaging and Division of Neurosurgery, Department of Surgery, University Health Network - Toronto Western Hospital, Toronto, Ontario, Canada
| | - Thomas C Booth
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK
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13
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Kim Y, Genevriere E, Harker P, Choe J, Balicki M, Regenhardt RW, Vranic JE, Dmytriw AA, Patel AB, Zhao X. Telerobotic neurovascular interventions with magnetic manipulation. Sci Robot 2022; 7:eabg9907. [PMID: 35417201 PMCID: PMC9254892 DOI: 10.1126/scirobotics.abg9907] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Advances in robotic technology have been adopted in various subspecialties of both open and minimally invasive surgery, offering benefits such as enhanced surgical precision and accuracy with reduced fatigue of the surgeon. Despite the advantages, robotic applications to endovascular neurosurgery have remained largely unexplored because of technical challenges such as the miniaturization of robotic devices that can reach the complex and tortuous vasculature of the brain. Although some commercial systems enable robotic manipulation of conventional guidewires for coronary and peripheral vascular interventions, they remain unsuited for neurovascular applications because of the considerably smaller and more tortuous anatomy of cerebral arteries. Here, we present a teleoperated robotic neurointerventional platform based on magnetic manipulation. Our system consists of a magnetically controlled guidewire, a robot arm with an actuating magnet to steer the guidewire, a set of motorized linear drives to advance or retract the guidewire and a microcatheter, and a remote-control console to operate the system under real-time fluoroscopy. We demonstrate our system's capability to navigate narrow and winding pathways both in vitro with realistic neurovascular phantoms representing the human anatomy and in vivo in the porcine brachial artery with accentuated tortuosity for preclinical evaluation. We further demonstrate telerobotically assisted therapeutic procedures including coil embolization and clot retrieval thrombectomy for treating cerebral aneurysms and ischemic stroke, respectively. Our system could enable safer and quicker access to hard-to-reach lesions while minimizing the radiation exposure to physicians and open the possibility of remote procedural services to address challenges in current stroke systems of care.
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Affiliation(s)
- Yoonho Kim
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Emily Genevriere
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Pablo Harker
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jaehun Choe
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Robert W Regenhardt
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Justin E Vranic
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Adam A Dmytriw
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Aman B Patel
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
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14
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Narsinh KH, Paez R, Mueller K, Caton MT, Baker A, Higashida RT, Halbach VV, Dowd CF, Amans MR, Hetts SW, Norbash AM, Cooke DL. Robotics for neuroendovascular intervention: Background and primer. Neuroradiol J 2022; 35:25-35. [PMID: 34398721 PMCID: PMC8826289 DOI: 10.1177/19714009211034829] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The simultaneous growth of robotic-assisted surgery and telemedicine in recent years has only been accelerated by the recent coronavirus disease 2019 pandemic. Robotic assistance for neurovascular intervention has garnered significant interest due to opportunities for tele-stroke models of care for remote underserved areas. Lessons learned from medical robots in interventional cardiology and neurosurgery have contributed to incremental but vital advances in medical robotics despite important limitations. In this article, we discuss robot types and their clinical justification and ethics, as well as a general overview on available robots in thoracic/abdominal surgery, neurosurgery, and cardiac electrophysiology. We conclude with current clinical research in neuroendovascular intervention and a perspective on future directions.
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Affiliation(s)
- Kazim H Narsinh
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA,Kazim H Narsinh and Daniel L Cooke, UCSF
Department of Radiology and Biomedical Imaging, 505 Parnassus Avenue, L-309, San
Francisco, CA 94117, USA. ;
| | - Ricardo Paez
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | | | - M Travis Caton
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Amanda Baker
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Randall T Higashida
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Van V Halbach
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Christopher F Dowd
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Matthew R Amans
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | - Steven W Hetts
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA
| | | | - Daniel L Cooke
- Department of Radiology and
Biomedical Imaging, University of California San Francisco, USA,Kazim H Narsinh and Daniel L Cooke, UCSF
Department of Radiology and Biomedical Imaging, 505 Parnassus Avenue, L-309, San
Francisco, CA 94117, USA. ;
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15
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Berczeli M, Chinnadurai P, Legeza PT, Britz GW, Lumsden AB. Transcarotid access for remote robotic endovascular neurointerventions: a cadaveric proof-of-concept study. Neurosurg Focus 2022; 52:E18. [PMID: 34973671 DOI: 10.3171/2021.10.focus21511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/22/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this proof-of-concept study was to demonstrate the setup and feasibility of transcarotid access for remote robotic neurointerventions in a cadaveric model. METHODS The interventional procedures were performed in a fresh-frozen cadaveric model using an endovascular robotic system and a robotic angiography imaging system. A prototype remote, robotic-drive system with an ethernet-based network connectivity and audio-video communication system was used to drive the robotic system remotely. After surgical exposure of the common carotid artery in a cadaveric model, an 8-Fr arterial was inserted and anchored. A telescopic guiding sheath and catheter/microcatheter combination was modified to account for the "workable" length with the CorPath GRX robotic system using transcarotid access. RESULTS To simulate a carotid stenting procedure, a 0.014-inch wire was advanced robotically to the extracranial internal carotid artery. After confirming the wire position and anatomy by angiography, a self-expandable rapid exchange nitinol stent was loaded into the robotic cassette, advanced, and then deployed robotically across the carotid bifurcation. To simulate an endovascular stroke recanalization procedure, a 0.014-inch wire was advanced into the proximal middle cerebral artery with robotic assistance. A modified 2.95-Fr delivery microcatheter (Velocity, Penumbra Inc.) was loaded into the robotic cassette and positioned. After robotic retraction of the wire, it was switched manually to a mechanical thrombectomy device (Solitaire X, Medtronic). The stentriever was then advanced robotically into the end of the microcatheter. After robotic unfolding and short microcatheter retraction, the microcatheter was manually removed and the stent retriever was extracted using robotic assistance. During intravascular navigation, the device position was guided by 2D angiography and confirmed by 3D cone-beam CT angiography. CONCLUSIONS In this proof-of-concept cadaver study, the authors demonstrated the setup and technical feasibility of transcarotid access for remote robot-assisted neurointerventions such as carotid artery stenting and mechanical thrombectomy. Using transcarotid access, catheter length modifications were necessary to achieve "working length" compatibility with the current-generation CorPath GRX robotic system. While further improvements in dedicated robotic solutions for neurointerventions and next-generation thrombectomy devices are necessary, the transcarotid approach provides a direct, relatively rapid access route to the brain for delivering remote stroke treatment.
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Affiliation(s)
- Marton Berczeli
- 1Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston.,2Department of Vascular and Endovascular Surgery, Semmelweis University, Budapest, Hungary; and
| | - Ponraj Chinnadurai
- 1Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston.,3Advanced Therapies, Siemens Medical Solutions USA Inc., Malvern, Pennsylvania
| | - Peter T Legeza
- 1Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston.,2Department of Vascular and Endovascular Surgery, Semmelweis University, Budapest, Hungary; and
| | - Gavin W Britz
- 4Department of Neurological Surgery and Neurological Institute, Houston Methodist Hospital, Houston, Texas
| | - Alan B Lumsden
- 1Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston
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16
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Cole JH, Hughey SB, Geiger PG, Rapp-Santos KJ, Booth GJ. Hemodynamic Effects of Cardiovascular Medications in a Normovolemic and Hemorrhaged Yorkshire-cross Swine Model. Comp Med 2021; 72:38-44. [PMID: 34876241 DOI: 10.30802/aalas-cm-21-000080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The Yorkshire-cross swine model is a valuable translational model commonly used to study cardiovascular physiologyand response to insult. Although the effects of vasoactive medications have been well described in healthy swine, the effects of these medications during hemorrhagic shock are less studied. In this study, we sought to expand the utility of the swine model by characterizing the hemodynamic changes that occurred after the administration of commonly available vasoactive medications during euvolemic and hypovolemic states. To this end, we anesthetized and established femoral arterial,central venous, and pulmonary arterial access in 15 juvenile Yorkshire-cross pigs. The pigs then received a series of rapidlymetabolized but highly vasoactive medications in a standard dosing sequence. After completion of this sequence, each pigunderwent a 30-mL/kg hemorrhage over 10 min, and the standard dosing sequence was repeated. We then used standard statisticaltechniques to compare the effects of these vasoactive medications on a variety of hemodynamic parameters betweenthe euvolemic and hemorrhagic states. All subjects completed the study protocol. The responses in the hemorrhagic state wereoften attenuated or even opposite of those in the euvolemic state. For example, phenylephrine decreased the mean arterialblood pressure during the euvolemic state but increased it in the hemorrhagic state. These results clarify previously poorlydefined responses to commonly used vasoactive agents during the hemorrhagic state in swine. Our findings also demonstratethe need to consider the complex and dynamic physiologic state of hemorrhage when anticipating the effects of vasoactivedrugs and planning study protocols.
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17
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Mendes Pereira V, Nicholson P, Cancelliere NM, Liu XYE, Agid R, Radovanovic I, Krings T. Feasibility of robot-assisted neuroendovascular procedures. J Neurosurg 2021; 136:992-1004. [PMID: 34560642 DOI: 10.3171/2021.1.jns203617] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 01/27/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Geographic factors prevent equitable access to urgent advanced neuroendovascular treatments. Robotic technologies may enable remote endovascular procedures in the future. The authors performed a translational, benchtop-to-clinical study to evaluate the in vitro and clinical feasibility of the CorPath GRX Robotic System for robot-assisted endovascular neurointerventional procedures. METHODS A series of bench studies was conducted using patient-specific 3D-printed models to test the system's compatibility with standard neurointerventional devices, including microcatheters, microwires, coils, intrasaccular devices, and stents. Optimal baseline setups for various procedures were determined. The models were further used to rehearse clinical cases. Subsequent to these investigations, a prospective series of 6 patients was treated using robotic assistance for complex, wide-necked intracranial saccular aneurysms between November 2019 and February 2020. The technical success, incidence of periprocedural complications, and need for conversion to manual procedures were evaluated. RESULTS The ideal robotic setup for treatment of both anterior and posterior circulation aneurysms was determined to consist of an 80-cm guide catheter with a 115-cm-long intermediate catheter, a microcatheter between 150 and 170 cm in length, and a microwire with a minimum length of 300 cm. All coils, intrasaccular devices, and stents tested were compatible with the system and could be advanced or retracted safely and placed accurately. All 6 clinical procedures were technically successful, with all intracranial steps being performed robotically with no conversions to manual intervention or failures of the robotic system. There were no procedure-related complications or adverse clinical outcomes. CONCLUSIONS This study demonstrates the feasibility of robot-assisted neurointerventional procedures. The authors' results represent an important step toward enabling remote neuroendovascular care and geographic equalization of advanced endovascular treatments through so-called telestroke intervention.
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Affiliation(s)
- Vitor Mendes Pereira
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and.,2Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Patrick Nicholson
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and
| | - Nicole M Cancelliere
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and
| | - Xiao Yu Eileen Liu
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and
| | - Ronit Agid
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and
| | - Ivan Radovanovic
- 2Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Timo Krings
- 1Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, University Health Network, University of Toronto; and.,2Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, Canada
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18
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Cruz MJ, Nieblas-Bedolla E, Young CC, Feroze AH, Williams JR, Ellenbogen RG, Levitt MR. United States Medicolegal Progress and Innovation in Telemedicine in the Age of COVID-19: A Primer for Neurosurgeons. Neurosurgery 2021; 89:364-371. [PMID: 34133724 PMCID: PMC8344865 DOI: 10.1093/neuros/nyab185] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 04/03/2021] [Indexed: 01/14/2023] Open
Abstract
Telemedicine has received increased attention in recent years as a potential solution to expand clinical capability and patient access to care in many fields, including neurosurgery. Although patient and physician attitudes are rapidly shifting toward greater telemedicine use in light of the COVID-19 pandemic, there remains uncertainty about telemedicine's regulatory future. Despite growing evidence of telemedicine's utility, there remain a number of significant medicolegal barriers to its mass adoption and wider implementation. Herein, we examine recent progress in state and federal regulations in the United States governing telemedicine's implementation in quality of care, finance and billing, privacy and confidentiality, risk and liability, and geography and interstate licensure, with special attention to how these concern teleneurosurgical practice. We also review contemporary topics germane to the future of teleneurosurgery, including the continued expansion of reciprocity in interstate licensure, expanded coverage for homecare services for chronic conditions, expansion of Center for Medicare and Medicaid Services reimbursements, and protections of store-and-forward technologies. Additionally, we discuss recent successes in teleneurosurgery, stroke care, and rehabilitation as models for teleneurosurgical best practices. As telemedicine technology continues to mature and its expanse grows, neurosurgeons' familiarity with its benefits, limitations, and controversies will best allow for its successful adoption in our field to maximize patient care and outcomes.
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Affiliation(s)
- Michael J Cruz
- School of Medicine, University of Washington, Seattle, Washington, USA
| | | | - Christopher C Young
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Abdullah H Feroze
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - John R Williams
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Richard G Ellenbogen
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Stroke and Applied Neurosciences Center, University of Washington, Seattle, Washington, USA
| | - Michael R Levitt
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Stroke and Applied Neurosciences Center, University of Washington, Seattle, Washington, USA
- Department of Radiology, University of Washington, Seattle, Washington, USA
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
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19
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Ball T, González-Martínez J, Zemmar A, Sweid A, Chandra S, VanSickle D, Neimat JS, Jabbour P, Wu C. Robotic Applications in Cranial Neurosurgery: Current and Future. Oper Neurosurg (Hagerstown) 2021; 21:371-379. [PMID: 34192764 DOI: 10.1093/ons/opab217] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 05/16/2021] [Indexed: 12/19/2022] Open
Abstract
Robotics applied to cranial surgery is a fast-moving and fascinating field, which is transforming the practice of neurosurgery. With exponential increases in computing power, improvements in connectivity, artificial intelligence, and enhanced precision of accessing target structures, robots are likely to be incorporated into more areas of neurosurgery in the future-making procedures safer and more efficient. Overall, improved efficiency can offset upfront costs and potentially prove cost-effective. In this narrative review, we aim to translate a broad clinical experience into practical information for the incorporation of robotics into neurosurgical practice. We begin with procedures where robotics take the role of a stereotactic frame and guide instruments along a linear trajectory. Next, we discuss robotics in endoscopic surgery, where the robot functions similar to a surgical assistant by holding the endoscope and providing retraction, supplemental lighting, and correlation of the surgical field with navigation. Then, we look at early experience with endovascular robots, where robots carry out tasks of the primary surgeon while the surgeon directs these movements remotely. We briefly discuss a novel microsurgical robot that can perform many of the critical operative steps (with potential for fine motor augmentation) remotely. Finally, we highlight 2 innovative technologies that allow instruments to take nonlinear, predetermined paths to an intracranial destination and allow magnetic control of instruments for real-time adjustment of trajectories. We believe that robots will play an increasingly important role in the future of neurosurgery and aim to cover some of the aspects that this field holds for neurosurgical innovation.
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Affiliation(s)
- Tyler Ball
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | | | - Ajmal Zemmar
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA.,Department of Neurosurgery, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Henan University People's Hospital, Henan University School of Medicine, Zhengzhou, China
| | - Ahmad Sweid
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Sarat Chandra
- Department of Neurosurgery, All India Institute of Medical Science, New Delhi, India
| | | | - Joseph S Neimat
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | - Pascal Jabbour
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Chengyuan Wu
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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20
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Miyachi S, Nagano Y, Kawaguchi R, Ohshima T, Tadauchi H. Remote Surgery Using a Neuroendovascular Intervention Support Robot Equipped with a Sensing Function: Experimental Verification. Asian J Neurosurg 2021; 16:363-366. [PMID: 34268165 PMCID: PMC8244710 DOI: 10.4103/ajns.ajns_77_21] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/26/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose: Expectations for remote surgery in endovascular treatments are increasing. We conducted the world's first remote catheter surgery experiment using an endovascular treatment-supported robot. We considered the results, examined the issues, and suggested countermeasures for practical use. Methods: The slave robot in the angiography room is an original machine that enables sensing feedback by using an originally developed insertion force-measuring device, which detects the pressure stress on the vessel wall and alerts the operator using an audible scale. The master side was set in a separate room. They were connected via HTTP communication using local area network system. The surgeon operated by looking at a personal computer monitor that shared an angiography monitor. The slave robot catheterized and inserted a coil for an aneurysm in the silicon blood vessel model in the angiography room. Results: Our robot responded to the surgeon's operations promptly and to the joystick's swift movements quite accurately. The surgeon could control the stress to the model vessels using various actions, because the operator could hear the sound from the insertion force. However, the robot required a time gradient to reach a stable advanced speed at the time of the initial movement, and experienced a slight time lag. Conclusion: Our remote operation appeared to be sufficiently feasible to perform the surgery safely. This system seems extremely promising for preventing viral infection and radiation exposure to medical staff. It will also enable medical professionals to operate in remote areas and create a ubiquitous medical environment.
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Affiliation(s)
- Shigeru Miyachi
- Department of Neurological Surgery, Aichi Medical University, Nagakute, Japan.,Neuroendovascular Therapy Center, Aichi Medical University, Nagakute, Japan
| | - Yoshitaka Nagano
- Department of Electronic Control and Robot Engineering, Aichi University of Technology, Gamagori, Aichi, Japan
| | - Reo Kawaguchi
- Department of Neurological Surgery, Aichi Medical University, Nagakute, Japan
| | - Tomotaka Ohshima
- Neuroendovascular Therapy Center, Aichi Medical University, Nagakute, Japan
| | - Hiroki Tadauchi
- Graduation School of System Engineering, Aichi University of Technology, Gamagori, Aichi, Japan
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21
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Beaman CB, Kaneko N, Meyers PM, Tateshima S. A Review of Robotic Interventional Neuroradiology. AJNR Am J Neuroradiol 2021; 42:808-814. [PMID: 33541906 DOI: 10.3174/ajnr.a6976] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 10/26/2020] [Indexed: 12/20/2022]
Abstract
Robotic interventional neuroradiology is an emerging field with the potential to enhance patient safety, reduce occupational hazards, and expand systems of care. Endovascular robots allow the operator to precisely control guidewires and catheters from a lead-shielded cockpit located several feet (or potentially hundreds of miles) from the patient. This has opened up the possibility of expanding telestroke networks to patients without access to life-saving procedures such as stroke thrombectomy and cerebral aneurysm occlusion by highly-experienced physicians. The prototype machines, first developed in the early 2000s, have evolved into machines capable of a broad range of techniques, while incorporating newly automated maneuvers and safety algorithms. In recent years, preliminary clinical research has been published demonstrating the safety and feasibility of the technology in cerebral angiography and intracranial intervention. The next step is to conduct larger, multisite, prospective studies to assess generalizability and, ultimately, improve patient outcomes in neurovascular disease.
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Affiliation(s)
- C B Beaman
- Department of Neurology (C.B.B.), Columbia University Irving Medical Center, New York, New York
| | - N Kaneko
- Department of Radiological Sciences (N.K., S.T.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - P M Meyers
- Department of Radiology and Neurological Surgery (P.M.M.), Columbia University Irving Medical Center, New York, New York
| | - S Tateshima
- Department of Radiological Sciences (N.K., S.T.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
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22
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Stumpo V, Staartjes VE, Klukowska AM, Golahmadi AK, Gadjradj PS, Schröder ML, Veeravagu A, Stienen MN, Serra C, Regli L. Global adoption of robotic technology into neurosurgical practice and research. Neurosurg Rev 2020; 44:2675-2687. [PMID: 33252717 PMCID: PMC8490223 DOI: 10.1007/s10143-020-01445-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/23/2020] [Accepted: 11/18/2020] [Indexed: 12/13/2022]
Abstract
Recent technological advancements have led to the development and implementation of robotic surgery in several specialties, including neurosurgery. Our aim was to carry out a worldwide survey among neurosurgeons to assess the adoption of and attitude toward robotic technology in the neurosurgical operating room and to identify factors associated with use of robotic technology. The online survey was made up of nine or ten compulsory questions and was distributed via the European Association of the Neurosurgical Societies (EANS) and the Congress of Neurological Surgeons (CNS) in February and March 2018. From a total of 7280 neurosurgeons who were sent the survey, we received 406 answers, corresponding to a response rate of 5.6%, mostly from Europe and North America. Overall, 197 neurosurgeons (48.5%) reported having used robotic technology in clinical practice. The highest rates of adoption of robotics were observed for Europe (54%) and North America (51%). Apart from geographical region, only age under 30, female gender, and absence of a non-academic setting were significantly associated with clinical use of robotics. The Mazor family (32%) and ROSA (26%) robots were most commonly reported among robot users. Our study provides a worldwide overview of neurosurgical adoption of robotic technology. Almost half of the surveyed neurosurgeons reported having clinical experience with at least one robotic system. Ongoing and future trials should aim to clarify superiority or non-inferiority of neurosurgical robotic applications and balance these potential benefits with considerations on acquisition and maintenance costs.
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Affiliation(s)
- Vittorio Stumpo
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
- School of Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Victor E Staartjes
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.
- Amsterdam UMC, Neurosurgery, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
| | | | - Aida Kafai Golahmadi
- HARMS (Human-centered Automation, Robotics and Monitoring for Surgery) Laboratory, Faculty of Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Pravesh S Gadjradj
- Department of Neurosurgery, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Neurosurgery, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Marc L Schröder
- Department of Neurosurgery, Bergman Clinics, Amsterdam, The Netherlands
| | - Anand Veeravagu
- Neurosurgery AI Lab, Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Martin N Stienen
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Carlo Serra
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Luca Regli
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
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23
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Weinberg JH, Sweid A, Sajja K, Gooch MR, Herial N, Tjoumakaris S, Rosenwasser RH, Jabbour P. Comparison of robotic-assisted carotid stenting and manual carotid stenting through the transradial approach. J Neurosurg 2020; 135:21-28. [PMID: 32858520 DOI: 10.3171/2020.5.jns201421] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 05/18/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The objective of this study was to demonstrate the feasibility and safety of CorPath GRX robotic-assisted (RA) transradial (TR) carotid artery stenting (CAS) compared with manual TR CAS. METHODS The authors conducted a retrospective analysis of a prospectively maintained database and identified 13 consecutive patients who underwent TR CAS from June 2019 through February 2020. Patients were divided into 2 groups: RA (6 patients) and manual (7 patients). RESULTS Among 6 patients in the RA group with a mean age of 70.0 ± 7.2 years, technical success was achieved in all 6 (100%) procedures; there were no technical or access-site complications and no catheter exchanges. Transfemoral conversion was required in 1 (16.7%) case due to a tortuous aortic arch. There were no perioperative complications, including myocardial infarction, stroke, and mortality. The mean procedure duration was significantly longer in the RA group (85.0 ± 14.3 minutes [95% CI 69.9-100.0] vs 61.2 ± 17.5 minutes [95% CI 45.0-77.4], p = 0.0231). There was no significant difference in baseline characteristics, fluoroscopy time, contrast dose, radiation exposure, catheter exchanges, technical success, transfemoral conversion, technical or access-site complications, myocardial infarction, stroke, other complications, or mortality. CONCLUSIONS The authors' results suggest that RA TR CAS is feasible, safe, and effective. Neurovascular-specific engineering and software modifications are needed prior to complete remote control. Remote control has important implications regarding patient access to lifesaving procedures for conditions such as stroke and aneurysm rupture as well as operative precision. Future clinical investigations among larger cohorts are needed to demonstrate reliable performance and patient benefit.
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24
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Rabinovich EP, Capek S, Kumar JS, Park MS. Tele-robotics and artificial-intelligence in stroke care. J Clin Neurosci 2020; 79:129-132. [PMID: 33070881 DOI: 10.1016/j.jocn.2020.04.125] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/13/2020] [Indexed: 01/17/2023]
Abstract
In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhanced surgical procedures - from its initial use in 1985 for neurosurgical biopsies to current implementation of systems such as magnetic-guided catheters for endovascular procedures. Systems such as the Niobe Magnetic Navigation system and CorPath GRX have allowed for utilization of a fully integrated surgical robotic systems for perioperative manipulation, as well as tele-controlled manipulation systems for telemedicine. These robotic systems hold tremendous potential for future implementation in cerebrovascular procedures, but lack of relevant clinical experience and uncharted ethical and legal territory for real-life tele-robotics have stalled their adoption for neurovascular surgery, and might present significant challenges for future development and widespread implementation. Yet, the promise that these technologies hold for dramatically improving the quality and accessibility of cerebrovascular procedures such as thrombectomy for acute stroke, drives the research and development of surgical robotics. These technologies, coupled with artificial intelligence (AI) capabilities such as machine learning, deep-learning, and outcome-based analyses and modifications, have the capability to uncover new dimensions within the realm of cerebrovascular surgery.
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Affiliation(s)
- Emily P Rabinovich
- University of Virginia School of Medicine, 1215 Lee Street, Charlottesville, VA 22908, USA
| | - Stepan Capek
- Department of Neurological Surgery, University of Virginia, 1215 Lee Street, Charlottesville, VA 22908, USA; 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Jeyan S Kumar
- Department of Neurological Surgery, University of Virginia, 1215 Lee Street, Charlottesville, VA 22908, USA
| | - Min S Park
- Department of Neurological Surgery, University of Virginia, 1215 Lee Street, Charlottesville, VA 22908, USA.
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25
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Nogueira RG, Sachdeva R, Al-Bayati AR, Mohammaden MH, Frankel MR, Haussen DC. Robotic assisted carotid artery stenting for the treatment of symptomatic carotid disease: technical feasibility and preliminary results. J Neurointerv Surg 2020; 12:341-344. [PMID: 32115435 DOI: 10.1136/neurintsurg-2019-015754] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 01/10/2020] [Accepted: 01/16/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE Robotic-assisted endovascular interventions have been increasingly performed in the coronary and peripheral vascular beds. We aim to describe the feasibility and initial safety of a robotic-assisted platform for treating carotid artery disease. METHODS Single-center technical report of the first four consecutive cases of carotid artery stenting for the treatment of severe symptomatic carotid stenosis utilizing the CorPath GRX Robotic System (Corindus Inc, Waltham, MA). RESULTS Four patients (one in early 60s and three in early 70s; NASCET degree of stenosis: 88%, 77%, 83% and 82%) with ipsilateral strokes on presentation were treated. All steps of the procedure (including delivery/removal of micro-guidewire, emboli-protection system and angioplasty balloon) could be successfully performed robotically with the exception of navigation/deployment of the stents due to incompatibility with the current robotic platform. Technical success was achieved in all patients resulting in resolution of the stenosis without any complications. CONCLUSIONS Robotic-assisted carotid artery stenting is technically feasible. Future studies are warranted to properly establish safety and benefits.
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Affiliation(s)
- Raul G Nogueira
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine, Atlanta, Georgia, USA .,Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Rajesh Sachdeva
- Grady Memorial Hospital, Atlanta, Georgia, USA.,Department of Cardiology, Morehouse University School of Medicine, Atlanta, Georgia, USA
| | - Alhamza R Al-Bayati
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine, Atlanta, Georgia, USA.,Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Mahmoud H Mohammaden
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine, Atlanta, Georgia, USA.,Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Michael R Frankel
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine, Atlanta, Georgia, USA.,Grady Memorial Hospital, Atlanta, Georgia, USA
| | - Diogo C Haussen
- Department of Neurology, Marcus Stroke & Neuroscience Center, Emory University School of Medicine, Atlanta, Georgia, USA.,Grady Memorial Hospital, Atlanta, Georgia, USA
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