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Consoli A, Cancelliere NM, Charbonnier G, Spears J, Marotta TR, Pereira VM. Perspectives on Remote Robotic-Assisted Stroke Treatment: A Commentary Paper. AJNR Am J Neuroradiol 2024; 45:681-685. [PMID: 38216300 DOI: 10.3174/ajnr.a8085] [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: 09/13/2023] [Accepted: 10/26/2023] [Indexed: 01/14/2024]
Abstract
The proved feasibility of robotic-assisted endovascular treatment of intracranial aneurysms has stimulated the idea of a potential application of remote robotics for the treatment of acute ischemic stroke. The possibility of developing a more advanced remote-controlled robotic system capable of performing a complete mechanical thrombectomy procedure would help bridge the health care gap of lack of technical expertise in isolated areas. This possibility could allow a more equitable access to mechanical thrombectomy to a larger number of patients and be a breakthrough for acute ischemic stroke care worldwide. Many aspects around the technical, human, financial, and regulatory requirements should be discussed to implement remote robotic-assisted procedures. In this State of Practice article, we aimed to outline the major challenges that must be considered, as well as proposed solutions. However, different solutions may be applied in different health care systems on the basis of the availability of human and financial resources.
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Affiliation(s)
- Arturo Consoli
- From the Diagnostic and Interventional Neuroradiology Department (A.C.), Foch Hospital, Suresnes, France
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Nicole Mariantonia Cancelliere
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Guillaume Charbonnier
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Interventional Neuroradiology Department (G.C.), Besançon University Hospital, Besançon, France
| | - Julian Spears
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Thomas R Marotta
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology (T.R.M.), Department of Medical Imaging, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Vitor Mendes Pereira
- Division of Neurosurgery (A.C., N.M.C., G.C., J.S., T.R.M., V.M.P.), Department of Surgery, RADIS Lab, Li Ka-shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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Łajczak PM, Jurek B, Jóźwik K, Nawrat Z. Bridging the gap: robotic applications in cerebral aneurysms neurointerventions - a systematic review. Neurosurg Rev 2024; 47:150. [PMID: 38600417 PMCID: PMC11006626 DOI: 10.1007/s10143-024-02400-5] [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: 12/29/2023] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/12/2024]
Abstract
Cerebral aneurysm is a life-threatening condition, which requires high precision during the neurosurgical procedures. Increasing progress of evaluating modern devices in medicine have led to common usage of robotic systems in many fields, including cranial aneurysm operations. However, currently no systematic review describes up-to date knowledge of this topic. Following PRISMA guidelines, we have independently screened and extracted works from seven databases. Only studies fulfilling inclusion criteria were presented in this study. Device used, operation time, complications, aneurysm type and patient demographics were extracted from each work. We identified a total of 995 articles from databases. We have found six original works and one supplementary article eligible for this synthesis. Majority of works (4/6) have implemented CorPath GRX in cerebral aneurysm procedures. The procedures involved diverse aneurysm locations, utilizing flow diverters, stents, or coiling. One study described implementation of robot-assist on 117 patients and compared results to randomized clinical trials. One work with a small patient cohort described use of the magnetically-controlled microguidewire in the coiling procedures, without any complications. Additionally, one case-series study described use of a robotic arm for managing intraoperative aneurysm rupture. Currently, robotical devices for cerebral aneurysm treatment mainly lack jailing and haptic feedback feature. Further development of these devices will certainly be beneficial for operators and patients, allowing for more precise and remote surgeries.
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Affiliation(s)
- Paweł Marek Łajczak
- Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 18, Zabrze, 40-043, Poland.
| | - Bartłomiej Jurek
- Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 18, Zabrze, 40-043, Poland
| | - Kamil Jóźwik
- Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 18, Zabrze, 40-043, Poland
| | - Zbigniew Nawrat
- 2Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 18, Zabrze, 40-043, Poland
- 3Foundation of Cardiac Surgery Development, Zabrze, 41-808, Poland
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Wolosker N, Portela FSO, Louzada ACS, Galastri FL, Affonso BB, Nasser F. Robot-assisted endovascular treatment of hepatic artery aneurysm: A case report. Vascular 2024:17085381241246322. [PMID: 38597580 DOI: 10.1177/17085381241246322] [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: 04/11/2024]
Abstract
OBJECTIVE Robot-assisted endovascular surgery has emerged as a new alternative to interventional procedures, with its application expanding to peripheral and visceral approaches. The objective of this paper is to describe a robot-assisted endovascular treatment in splanchnic arteries. METHODS A case report of an asymptomatic male patient with an incidental finding of a saccular aneurysm of the proper hepatic artery measuring 3.7 × 2.7 cm and distant 0.6 cm from the origin of the gastroduodenal artery. RESULTS Using a robot-assisted endovascular technique (CorPath GRX platform - Siemens), 2 guidewires were advanced in parallel: the first one was placed inside the aneurysm sac, while the second one was placed in the proper hepatic artery distal to the aneurysm; through the first guidewire, a balloon was advanced, positioned distally to the aneurysm, and through the second one, a microcatheter was advanced. Embolization of the aneurysm was performed with the use of coils and Onyx. Control exam performed 120 days after embolization revealed treated aneurysm and preserved distal arterial flow. CONCLUSION Using a robotic platform for navigation in splanchnic territory is safe and effective.
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Affiliation(s)
- Nelson Wolosker
- Department of Vascular Surgery, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | | | | | - Breno Boueri Affonso
- Department of Interventional Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Felipe Nasser
- Department of Interventional Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
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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: 7] [Impact Index Per Article: 7.0] [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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Autio AH, Paavola J, Tervonen J, Lång M, Elomaa AP, Huuskonen TJ, Huttunen J, Kärkkäinen V, von Und Zu Fraunberg M, Lindgren AE, Koivisto T, Kurola J, Jääskeläinen JE, Kämäräinen OP. Acute evacuation of 54 intracerebral hematomas (aICH) during the microsurgical clipping of a ruptured middle cerebral artery bifurcation aneurysm-illustration of the individual clinical courses and outcomes with a serial brain CT/MRI panel until 12 months. Acta Neurochir (Wien) 2024; 166:17. [PMID: 38231317 PMCID: PMC10794262 DOI: 10.1007/s00701-024-05902-9] [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: 10/08/2023] [Accepted: 12/11/2023] [Indexed: 01/18/2024]
Abstract
PURPOSE In aneurysmal intracerebral hemorrhage (aICH), our review showed the lack of the patient's individual (i) timeline panels and (ii) serial brain CT/MRI slice panels through the aICH evacuation and neurointensive care until the final brain tissue outcome. METHODS Our retrospective cohort consists of 54 consecutive aICH patients from a defined population who acutely underwent the clipping of a middle cerebral artery bifurcation saccular aneurysm (Mbif sIA) with the aICH evacuation at Kuopio University Hospital (KUH) from 2010 to 2019. We constructed the patient's individual timeline panels since the emergency call and serial brain CT/MRI slice panels through the aICH evacuation and neurointensive care until the final brain tissue outcome. The patients were indicated by numbers (1.-54.) in the pseudonymized panels, tables, results, and discussion. RESULTS The aICH volumes on KUH admission (median 46 cm3) plotted against the time from the emergency call to the evacuation (median 8 hours) associated significantly with the rebleeds (n=25) and the deaths (n=12). The serial CT/MRI slice panels illustrated the aICHs, intraventricular hemorrhages (aIVHs), residuals after the aICH evacuations, perihematomal edema (PHE), delayed cerebral injury (DCI), and in the 42 survivors, the clinical outcome (mRS) and the brain tissue outcome. CONCLUSIONS Regarding aICH evacuations, serial brain CT/MRI panels present more information than words, figures, and graphs. Re-bleeds associated with larger aICH volumes and worse outcomes. Swift logistics until the sIA occlusion with aICH evacuation is required, also in duty hours and weekends. Intraoperative CT is needed to illustrate the degree of aICH evacuation. PHE may evoke uncontrollable intracranial pressure (ICP) in spite of the acute aICH volume reduction.
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Affiliation(s)
- Anniina H Autio
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland.
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
| | - Juho Paavola
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Joona Tervonen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Maarit Lång
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Neurointensive Care Unit, Kuopio University Hospital, Kuopio, Finland
| | - Antti-Pekka Elomaa
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Terhi J Huuskonen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jukka Huttunen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Virve Kärkkäinen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
| | - Mikael von Und Zu Fraunberg
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Neurosurgery, Oulu University Hospital, Oulu, Finland
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
| | - Antti E Lindgren
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Timo Koivisto
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jouni Kurola
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
- Center for Prehospital Emergency Care, Kuopio University Hospital, Kuopio, Finland
| | - Juha E Jääskeläinen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Olli-Pekka Kämäräinen
- Neurosurgery, NeuroCenter, Kuopio University Hospital, PL 100, 70029, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
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Charbonnier G, Consoli A, Bonnet L, Biondi A, Vuillier F, Rabenorosoa K, Mendes Pereira V, Moulin T. Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics? Digit Health 2024; 10:20552076241254986. [PMID: 38766366 PMCID: PMC11100382 DOI: 10.1177/20552076241254986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/23/2024] [Indexed: 05/22/2024] Open
Abstract
Objective Selected patients with large vessel occlusion (LVO) strokes can benefit from endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how quickly the patient receives treatment. Recent technological developments have led to the first neurointerventional treatments using robotic assistance, opening up the possibility of performing remote stroke interventions. Existing telestroke networks provide acute stroke care, including remote administration of intravenous thrombolysis (IVT). Therefore, the introduction of remote EVT in distant stroke centers requires an adaptation of the existing telestroke networks. The aim of this work was to propose a framework for centers that are potential candidates for telerobotics according to the resources currently available in these centers. Methods In this paper, we highlight the future challenges for including remote robotics in telestroke networks. A literature review provides potential solutions. Results Existing telestroke networks need to determine which centers to prioritize for remote robotic technologies based on objective criteria and cost-effectiveness analysis. Organizational challenges include regional coordination and specific protocols. Technological challenges mainly concern telecommunication networks. Conclusions Specific adaptations will be necessary if regional telestroke networks are to include remote robotics. Some of these can already be put in place, which could greatly help the future implementation of the technology.
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Affiliation(s)
- Guillaume Charbonnier
- CHU Besançon, Interventional Neuroradiology Department, Besançon, France
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | - Arturo Consoli
- Interventional Neuroradiology Department, Hôpital Foch, Paris, France
| | - Louise Bonnet
- CHU Besançon, Neurology Department, Besançon, France
| | - Alessandra Biondi
- CHU Besançon, Interventional Neuroradiology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | - Fabrice Vuillier
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
| | | | - Vitor Mendes Pereira
- St. Michael's Hospital Li Ka Shing Knowledge Institute, RADIS Lab, Toronto, ON, Canada
- Department of Neurosurgery, St. Michael's Hospital, Toronto, ON, Canada
| | - Thierry Moulin
- CHU Besançon, Neurology Department, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UMR INSERM 1322, Université de Franche-Comté, Besançon, France
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Robertshaw H, Karstensen L, Jackson B, Sadati H, Rhode K, Ourselin S, Granados A, Booth TC. Artificial intelligence in the autonomous navigation of endovascular interventions: a systematic review. Front Hum Neurosci 2023; 17:1239374. [PMID: 37600553 PMCID: PMC10438983 DOI: 10.3389/fnhum.2023.1239374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/20/2023] [Indexed: 08/22/2023] Open
Abstract
Background Autonomous navigation of catheters and guidewires in endovascular interventional surgery can decrease operation times, improve decision-making during surgery, and reduce operator radiation exposure while increasing access to treatment. Objective To determine from recent literature, through a systematic review, the impact, challenges, and opportunities artificial intelligence (AI) has for the autonomous navigation of catheters and guidewires for endovascular interventions. Methods PubMed and IEEEXplore databases were searched to identify reports of AI applied to autonomous navigation methods in endovascular interventional surgery. Eligibility criteria included studies investigating the use of AI in enabling the autonomous navigation of catheters/guidewires in endovascular interventions. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), articles were assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). PROSPERO: CRD42023392259. Results Four hundred and sixty-two studies fulfilled the search criteria, of which 14 studies were included for analysis. Reinforcement learning (RL) (9/14, 64%) and learning from expert demonstration (7/14, 50%) were used as data-driven models for autonomous navigation. These studies evaluated models on physical phantoms (10/14, 71%) and in-silico (4/14, 29%) models. Experiments within or around the blood vessels of the heart were reported by the majority of studies (10/14, 71%), while non-anatomical vessel platforms "idealized" for simple navigation were used in three studies (3/14, 21%), and the porcine liver venous system in one study. We observed that risk of bias and poor generalizability were present across studies. No procedures were performed on patients in any of the studies reviewed. Moreover, all studies were limited due to the lack of patient selection criteria, reference standards, and reproducibility, which resulted in a low level of evidence for clinical translation. Conclusion Despite the potential benefits of AI applied to autonomous navigation of endovascular interventions, the field is in an experimental proof-of-concept stage, with a technology readiness level of 3. We highlight that reference standards with well-identified performance metrics are crucial to allow for comparisons of data-driven algorithms proposed in the years to come. Systematic review registration identifier: CRD42023392259.
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Affiliation(s)
- Harry Robertshaw
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Lennart Karstensen
- Fraunhofer IPA, Mannheim, Germany
- AIBE, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Benjamin Jackson
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Hadi Sadati
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Kawal Rhode
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Alejandro Granados
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
| | - Thomas C. Booth
- School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
- Department of Neuroradiology, Kings College Hospital, London, United Kingdom
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8
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Ning S, Chautems C, Kim Y, Rice H, Hanning U, Al Kasab S, Meyer L, Psychogios M, Zaidat OO, Hassan AE, Masoud HE, Mujanovic A, Kaesmacher J, Dhillon PS, Ma A, Kaliaev A, Nguyen TN, Abdalkader M. Robotic Interventional Neuroradiology: Progress, Challenges, and Future Prospects. Semin Neurol 2023; 43:432-438. [PMID: 37562456 DOI: 10.1055/s-0043-1771298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Advances in robotic technology have improved standard techniques in numerous surgical and endovascular specialties, offering more precision, control, and better patient outcomes. Robotic-assisted interventional neuroradiology is an emerging field at the intersection of interventional neuroradiology and biomedical robotics. Endovascular robotics can automate maneuvers to reduce procedure times and increase its safety, reduce occupational hazards associated with ionizing radiations, and expand networks of care to reduce gaps in geographic access to neurointerventions. To date, many robotic neurointerventional procedures have been successfully performed, including cerebral angiography, intracranial aneurysm embolization, carotid stenting, and epistaxis embolization. This review aims to provide a survey of the state of the art in robotic-assisted interventional neuroradiology, consider their technical and adoption limitations, and explore future developments critical for the widespread adoption of robotic-assisted neurointerventions.
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Affiliation(s)
- Shen Ning
- Department of Radiology, Boston Medical Center, Boston, Massachusetts
- Department of Radiology, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | | | - Yoonho Kim
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Hal Rice
- Neurointerventional Section, Gold Coast University Hospital, Queensland, Australia
| | - Uta Hanning
- Klinik und Poliklinik für Interventionelle Neuroradiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Sami Al Kasab
- Department of Neurology, Medical University of South Carolina, Charleston, South Carolina
| | - Lukas Meyer
- Klinik und Poliklinik für Interventionelle Neuroradiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Marios Psychogios
- Department of Radiology, Basel University Hospital, University of Basel, Switzerland
| | - Osama O Zaidat
- Department of Neurology, Mercy Vincent Hospital, Toledo, Ohio
| | - Ameer E Hassan
- Department of Neurology, Valley Baptist Medical Center, University of Texas Rio Grande Valley, Harlingen, Texas
| | - Hesham E Masoud
- Division of Cerebrovascular, Department of Neurology, Upstate University Hospital, Syracuse, New York
| | - Adnan Mujanovic
- Institute of Diagnostic and Interventional Neuroradiology, Institute of Diagnostic, Interventional and Pediatric Radiology and Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
| | - Johannes Kaesmacher
- Institute of Diagnostic and Interventional Neuroradiology, Institute of Diagnostic, Interventional and Pediatric Radiology and Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
| | - Permesh S Dhillon
- Interventional Neuroradiology, University of Nottingham, Nottingham, United Kingdom
| | - Alice Ma
- Department of Neurosurgery, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Artem Kaliaev
- Department of Radiology, Boston Medical Center, Boston, Massachusetts
| | - Thanh N Nguyen
- Department of Radiology, Boston Medical Center, Boston, Massachusetts
- Department of Neurology, Boston Medical Center, Boston, Massachusetts
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Beaman C, Holodinsky JK, Goyal M, Tateshima S, Hill MD, Saver JL, Kamal N. Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy. Interv Neuroradiol 2022:15910199221140177. [PMID: 36398447 DOI: 10.1177/15910199221140177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Telerobotic endovascular therapy (EVT) has the potential to decrease time to treatment and expand existing networks of care to more rural populations. It is currently unclear how its implementation would impact existing stroke networks. METHODS Conditional probability models were generated to predict the probability of excellent outcome for patients with suspected large vessel occlusion (LVO). A baseline stroke network was created for California using existing intravenous thrombolysis (IVT) centers and comprehensive stroke centers (CSCs) capable of IVT and EVT. Optimal transport decisions and catchment areas were generated for the baseline model and three hypothetical scenarios through conversion of IVT centers at various distances from a CSC into centers capable of telerobotic EVT [i.e., hospitals ≥15 and <50 miles from a CSC were converted (Scenario 1), ≥50 and <100 miles (Scenario 2), and ≥100 miles (Scenario 3)]. Procedural times and success rates were varied systematically. RESULTS Telerobotic EVT centers decreased median travel time for LVO patients in all three scenarios. The estimated number of robotically treated LVOs per year in Scenarios 1, 2, and 3 were 2,172, 740, and 212, respectively. Scenario 1 (15-50 miles) was the most sensitive to robotic time delay and success rate, but all three scenarios were more sensitive to decreases in procedural success rate compared to time delay. CONCLUSIONS Telerobotic EVT has the potential to improve care for stroke patients outside of major urban centers. Compared to procedural time delays in robotic EVT, a decrease in procedural success rate would not be well tolerated.
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Affiliation(s)
- Charles Beaman
- Department of Neurology & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Division of Interventional Neuroradiology, Department of Radiological Sciences & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Jessalyn K Holodinsky
- Department of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada
| | - Mayank Goyal
- Department of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada
| | - Satoshi Tateshima
- Division of Interventional Neuroradiology, Department of Radiological Sciences & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Michael D Hill
- Department of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada
| | - Jeffrey L Saver
- Department of Neurology & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Noreen Kamal
- 3688Department of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada
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