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Ghosh R, Wong K, Zhang YJ, Britz GW, Wong STC. Automated catheter segmentation and tip detection in cerebral angiography with topology-aware geometric deep learning. J Neurointerv Surg 2024; 16:290-295. [PMID: 37344174 DOI: 10.1136/jnis-2023-020300] [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: 03/07/2023] [Accepted: 04/20/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND Visual perception of catheters and guidewires on x-ray fluoroscopy is essential for neurointervention. Endovascular robots with teleoperation capabilities are being developed, but they cannot 'see' intravascular devices, which precludes artificial intelligence (AI) augmentation that could improve precision and autonomy. Deep learning has not been explored for neurointervention and prior works in cardiovascular scenarios are inadequate as they only segment device tips, while neurointervention requires segmentation of the entire structure due to coaxial devices. Therefore, this study develops an automatic and accurate image-based catheter segmentation method in cerebral angiography using deep learning. METHODS Catheters and guidewires were manually annotated on 3831 fluoroscopy frames collected prospectively from 40 patients undergoing cerebral angiography. We proposed a topology-aware geometric deep learning method (TAG-DL) and compared it with the state-of-the-art deep learning segmentation models, UNet, nnUNet and TransUNet. All models were trained on frontal view sequences and tested on both frontal and lateral view sequences from unseen patients. Results were assessed with centerline Dice score and tip-distance error. RESULTS The TAG-DL and nnUNet models outperformed TransUNet and UNet. The best performing model was nnUNet, achieving a mean centerline-Dice score of 0.98 ±0.01 and a median tip-distance error of 0.43 (IQR 0.88) mm. Incorporating digital subtraction masks, with or without contrast, significantly improved performance on unseen patients, further enabling exceptional performance on lateral view fluoroscopy despite not being trained on this view. CONCLUSIONS These results are the first step towards AI augmentation for robotic neurointervention that could amplify the reach, productivity, and safety of a limited neurointerventional workforce.
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Affiliation(s)
- Rahul Ghosh
- Systems Medicine and Bioengineering, Houston Methodist Research Institute, Houston, Texas, USA
- Biomedical Engineering, Texas A&M University System, College Station, Texas, USA
| | - Kelvin Wong
- Systems Medicine and Bioengineering, Houston Methodist Research Institute, Houston, Texas, USA
- Texas A&M University School of Medicine, Bryan, Texas, USA
| | | | - Gavin W Britz
- Neurological Surgery, Houston Methodist Hospital, Houston, Texas, USA
- Houston Methodist Neurological Institute, Houston, Texas, USA
| | - Stephen T C Wong
- Systems Medicine and Bioengineering, Houston Methodist Research Institute, Houston, Texas, USA
- Texas A&M University School of Medicine, Bryan, Texas, USA
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2
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Niznik T, Grossen A, Shi H, Stephens M, Herren C, Desai VR. Learning Curve in Robotic Stereoelectroencephalography: Single Platform Experience. World Neurosurg 2024; 182:e442-e452. [PMID: 38030071 DOI: 10.1016/j.wneu.2023.11.119] [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: 06/16/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Learning curve, training, and cost impede widespread implementation of new technology. Neurosurgical robotic technology introduces challenges to visuospatial reasoning and requires the acquisition of new fine motor skills. Studies detailing operative workflow, learning curve, and patient outcomes are needed to describe the utility and cost-effectiveness of new robotic technology. METHODS A retrospective analysis was performed of pediatric patients who underwent robotic stereoelectroencephalography (sEEG) with the Medtronic Stealth Autoguide. Workflow, total operative time, and time per electrode were evaluated alongside target accuracy assessed via error measurements and root sum square. Patient demographics and clinical outcomes related to sEEG were also assessed. RESULTS Robot-assisted sEEG was performed in 12 pediatric patients. Comparison of cases over time demonstrated a mean operative time of 363.3 ± 109.5 minutes for the first 6 cases and 256.3 ± 59.1 minutes for the second 6 cases, with reduced operative time per electrode (P = 0.037). Mean entry point error, target point error, and depth point error were 1.82 ± 0.77 mm, 2.26 ± 0.71 mm, and 1.27 ± 0.53 mm, respectively, with mean root sum square of 3.23 ± 0.97 mm. Error measurements between magnetic resonance imaging and computed tomography angiography found computed tomography angiography to be more accurate with significant differences in mean entry point error (P = 0.043) and mean target point error (P = 0.035). The epileptogenic zone was identified in 11 patients, with therapeutic surgeries following in 9 patients, of whom 78% achieved an Engel class I. CONCLUSIONS This study demonstrated institutional workflow evolution and learning curve for the Autoguide in pediatric sEEG, resulting in reduced operative times and increased accuracy over a small number of cases. The platform may seamlessly and quickly be incorporated into clinical practice, and the provided workflow can facilitate a smooth transition.
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Affiliation(s)
- Taylor Niznik
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA
| | - Audrey Grossen
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA
| | - Helen Shi
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA
| | - Mark Stephens
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA
| | - Cherie Herren
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Virendra R Desai
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA.
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3
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Tasoudis PT, Caranasos TG, Doulamis IP. Robotic applications for intracardiac and endovascular procedures. Trends Cardiovasc Med 2024; 34:110-117. [PMID: 36273775 DOI: 10.1016/j.tcm.2022.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/01/2022] [Accepted: 10/15/2022] [Indexed: 06/16/2023]
Abstract
The large incisions and long recovery periods that accompany traditional cardiac surgery procedures along with the constant patient demand for minimally invasive procedures have motivated cardiac surgeons to implement the robotic technologies in their armamentarium. The robotic systems have been utilized successfully in various cardiac procedures including atrial septal defect repair, left atrial myxoma resection, MAZE procedure and left ventricular lead placement, yet coronary artery bypass and mitral valve repair still comprise the vast majority of them. This review analyzes the development of the robot-assisted cardiac surgery in recent years, its outcomes, advantages, disadvantages, its patient selection criteria as well as its economic feasibility. Robotic endovascular surgery, albeit its limited applications, is presently considered an attractive alternative to conventional endovascular approaches. The increased flexibility and precision along with the wider range of accessible anatomy provided by the endovascular robotic systems, have increased the pool of patients that can be offered minimally invasive treatment options and have helped to overcome many limitations of the traditional endovascular procedures. With this review we aimed to summarize the applications of the commercially available endovascular robotic devices, as well as the limitations and the future perspectives in the field of endovascular robotic surgery.
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Affiliation(s)
- Panagiotis T Tasoudis
- Division of Cardiothoracic Surgery, Department of Surgery, School of Medicine, University of North Carolina at Chapel Hill Chapel Hill, NC, United States
| | - Thomas G Caranasos
- Division of Cardiothoracic Surgery, Department of Surgery, School of Medicine, University of North Carolina at Chapel Hill Chapel Hill, NC, United States
| | - Ilias P Doulamis
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
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4
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Baker A, Cooke DL. Another Paradigm Shift? The Impact of Robotics in Stroke Intervention. World Neurosurg 2023; 172:94-95. [PMID: 36863300 DOI: 10.1016/j.wneu.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Affiliation(s)
- Amanda Baker
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Daniel L Cooke
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
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5
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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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6
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Baker A, Cooke DL. Another Paradigm Shift? The Impact of Robotics in Stroke Intervention. World Neurosurg 2023:S1878-8750(23)00081-5. [PMID: 36792442 DOI: 10.1016/j.wneu.2023.01.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://doi.org/10.1016/j.wneu.2023.02.014. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
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Affiliation(s)
- Amanda Baker
- University of California, San Francisco, San Francisco, California, USA
| | - Daniel L Cooke
- University of California, San Francisco, San Francisco, California, USA
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7
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Duan W, Akinyemi T, Du W, Ma J, Chen X, Wang F, Omisore O, Luo J, Wang H, Wang L. Technical and Clinical Progress on Robot-Assisted Endovascular Interventions: A Review. MICROMACHINES 2023; 14:197. [PMID: 36677258 PMCID: PMC9864595 DOI: 10.3390/mi14010197] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 01/05/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
Prior methods of patient care have changed in recent years due to the availability of minimally invasive surgical platforms for endovascular interventions. These platforms have demonstrated the ability to improve patients' vascular intervention outcomes, and global morbidities and mortalities from vascular disease are decreasing. Nonetheless, there are still concerns about the long-term effects of exposing interventionalists and patients to the operational hazards in the cath lab, and the perioperative risks that patients undergo. For these reasons, robot-assisted vascular interventions were developed to provide interventionalists with the ability to perform minimally invasive procedures with improved surgical workflow. We conducted a thorough literature search and presented a review of 130 studies published within the last 20 years that focused on robot-assisted endovascular interventions and are closely related to the current gains and obstacles of vascular interventional robots published up to 2022. We assessed both the research-based prototypes and commercial products, with an emphasis on their technical characteristics and application domains. Furthermore, we outlined how the robotic platforms enhanced both surgeons' and patients' perioperative experiences of robot-assisted vascular interventions. Finally, we summarized our findings and proposed three key milestones that could improve the development of the next-generation vascular interventional robots.
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Affiliation(s)
- Wenke Duan
- Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Toluwanimi Akinyemi
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wenjing Du
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jun Ma
- Shenzhen Raysight Intelligent Medical Technology Co., Ltd., Shenzhen 518063, China
| | - Xingyu Chen
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Fuhao Wang
- Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Olatunji Omisore
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen Engineering Laboratory for Diagnosis & Treatment Key Technologies of Interventional Surgical Robots, Shenzhen 518055, China
| | - Jingjing Luo
- Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Hongbo Wang
- Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Lei Wang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen Engineering Laboratory for Diagnosis & Treatment Key Technologies of Interventional Surgical Robots, Shenzhen 518055, China
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8
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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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9
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Berczeli M, Britz GW, Loh T, Lumsden AB. Telerobotic Endovascular Interventions and Their Potential for Cerebrovascular Treatment. Tex Heart Inst J 2022; 49:480953. [PMID: 35481863 DOI: 10.14503/thij-21-7608] [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: 11/23/2022]
Abstract
After the introduction of the first robotic-assisted surgical procedures, the technology soon reached the world of endovascular specialists, giving rise to several publications about robotic-assisted endovascular therapy. Compared with conventional procedures, robotic-assisted procedures can be more accurate and reduce radiation exposure. The latest commercially available endovascular robotic system is the CorPath GRX, which can be operated remotely. Robotic-assisted approaches have proved applicable in the fields of coronary and peripheral vascular intervention and neurointervention. Remote intervention has already proved feasible in the coronary and peripheral vascular systems and, according to expert opinion, could revolutionize acute stroke management as well. We review current knowledge about robotic-assisted therapies and remote interventions, and the future prospects and pitfalls.
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Affiliation(s)
- Marton Berczeli
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, Texas.,Department of Vascular and Endovascular Surgery, Semmelweis University, Budapest, Hungary
| | - Gavin W Britz
- Department of Neurological Surgery and Neurological Institute, Houston Methodist Hospital, Houston, Texas
| | - Thomas Loh
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, Texas
| | - Alan B Lumsden
- Department of Cardiovascular Surgery, Houston Methodist Hospital, Houston, Texas
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10
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Musa MJ, Carpenter AB, Kellner C, Sigounas D, Godage I, Sengupta S, Oluigbo C, Cleary K, Chen Y. Minimally Invasive Intracerebral Hemorrhage Evacuation: A review. Ann Biomed Eng 2022; 50:365-386. [PMID: 35226279 DOI: 10.1007/s10439-022-02934-z] [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: 08/03/2021] [Accepted: 02/11/2022] [Indexed: 11/01/2022]
Abstract
Intracerebral hemorrhage is a leading cause of morbidity and mortality worldwide. To date, there is no specific treatment that clearly provides a benefit in functional outcome or mortality. Surgical treatment for hematoma evacuation has not yet shown clear benefit over medical management despite promising preclinical studies. Minimally invasive treatment options for hematoma evacuation are under investigation but remain in early-stage clinical trials. Robotics has the potential to improve treatment. In this paper, we review intracerebral hemorrhage pathology, currently available treatments, and potential robotic approaches to date. We also discuss the future role of robotics in stroke treatment.
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Affiliation(s)
- Mishek J Musa
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA
| | | | - Christopher Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai Medical System, New York, NY, USA
| | - Dimitri Sigounas
- Department of Neurosurgery, The George Washington University, Washington, Washington, DC, USA
| | - Isuru Godage
- College of Computing and Digital Media, DePaul University, Chicago, IL, USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chima Oluigbo
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Yue Chen
- Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr NW, Atlanta, GA, 30332, USA.
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11
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Robot-assisted techniques in vascular and endovascular surgery. Langenbecks Arch Surg 2022; 407:1789-1795. [PMID: 35226179 PMCID: PMC8884093 DOI: 10.1007/s00423-022-02465-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 02/09/2022] [Indexed: 01/21/2023]
Abstract
For thousands of years, robots have inspired the imagination of humans, but it was only about 35 years ago that a robot was used for the first time in medicine. Since then, robot-assisted procedures have become increasingly popular in urology, general surgical specialties, and gynecology. Robot-assisted vascular surgery was first introduced in 2002 and was thought to overcome the limitations of laparoscopy. However, it did not gain widespread popularity, and its usage is still limited to a few centers worldwide. Robot-assisted endovascular procedures, on the other hand, while still in its infancy, have become a promising alternative to existing techniques. The improvements of the robotic systems promote better surgical performance and reduce occupational hazards for vascular and endovascular surgeons. A comprehensive review of literature was performed using the search terms “robotic,” “robot assisted,” “vascular surgery,” and “aortic” for surgical procedures or “robotic,” “robot assisted,” and “endovascular” for endovascular procedures. Full text articles that were published between January 1990 and March 2021 were included. This review summarizes the development of the techniques for robot-assisted vascular and endovascular surgery in recent years, its outcomes, advantages, disadvantages, and perspectives.
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Ahuja CK, Vyas S. Letter: First in Man Pilot Feasibility Study in Extracranial Carotid Robotic-Assisted Endovascular Intervention. Neurosurgery 2021; 89:E139. [PMID: 33913494 DOI: 10.1093/neuros/nyab159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/06/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Chirag Kamal Ahuja
- Division of Neuroradiology Department of Radiodiagnosis and Imaging Post Graduate Institute of Medical Education and Research (PGIMER) Chandigarh, India
| | - Sameer Vyas
- Division of Neuroradiology Department of Radiodiagnosis and Imaging Post Graduate Institute of Medical Education and Research (PGIMER) Chandigarh, India
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13
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Abouelleil M, Singer J. Commentary: First in Man Pilot Feasibility Study in Extracranial Carotid Robotic-Assisted Endovascular Intervention. Neurosurgery 2021; 88:E232-E233. [PMID: 33370812 DOI: 10.1093/neuros/nyaa519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 11/14/2022] Open
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