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Seghier ML. 7 T and beyond: toward a synergy between fMRI-based presurgical mapping at ultrahigh magnetic fields, AI, and robotic neurosurgery. Eur Radiol Exp 2024; 8:73. [PMID: 38945979 PMCID: PMC11214939 DOI: 10.1186/s41747-024-00472-y] [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: 03/30/2024] [Accepted: 04/22/2024] [Indexed: 07/02/2024] Open
Abstract
Presurgical evaluation with functional magnetic resonance imaging (fMRI) can reduce postsurgical morbidity. Here, we discuss presurgical fMRI mapping at ultra-high magnetic fields (UHF), i.e., ≥ 7 T, in the light of the current growing interest in artificial intelligence (AI) and robot-assisted neurosurgery. The potential of submillimetre fMRI mapping can help better appreciate uncertainty on resection margins, though geometric distortions at UHF might lessen the accuracy of fMRI maps. A useful trade-off for UHF fMRI is to collect data with 1-mm isotropic resolution to ensure high sensitivity and subsequently a low risk of false negatives. Scanning at UHF might yield a revival interest in slow event-related fMRI, thereby offering a richer depiction of the dynamics of fMRI responses. The potential applications of AI concern denoising and artefact removal, generation of super-resolution fMRI maps, and accurate fusion or coregistration between anatomical and fMRI maps. The latter can benefit from the use of T1-weighted echo-planar imaging for better visualization of brain activations. Such AI-augmented fMRI maps would provide high-quality input data to robotic surgery systems, thereby improving the accuracy and reliability of robot-assisted neurosurgery. Ultimately, the advancement in fMRI at UHF would promote clinically useful synergies between fMRI, AI, and robotic neurosurgery.Relevance statement This review highlights the potential synergies between fMRI at UHF, AI, and robotic neurosurgery in improving the accuracy and reliability of fMRI-based presurgical mapping.Key points• Presurgical fMRI mapping at UHF improves spatial resolution and sensitivity.• Slow event-related designs offer a richer depiction of fMRI responses dynamics.• AI can support denoising, artefact removal, and generation of super-resolution fMRI maps.• AI-augmented fMRI maps can provide high-quality input data to robotic surgery systems.
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Affiliation(s)
- Mohamed L Seghier
- Department of Biomedical Engineering and Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, UAE.
- Healtcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, UAE.
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2
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Ryu S, Ha BJ, Yoon S, Lee CK, Shin DA, Kim KN, Yi S. Feasibility and safety report on robotic assistance for cervical pedicle screw fixation: a cadaveric study. Sci Rep 2024; 14:10881. [PMID: 38740762 DOI: 10.1038/s41598-024-60435-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 04/23/2024] [Indexed: 05/16/2024] Open
Abstract
This cadaveric study aimed to evaluate the safety and usability of a novel robotic system for posterior cervical pedicle screw fixation. Three human cadaveric specimens and C2-T3 were included. Freshly frozen human cadaver specimens were prepared and subjected to robot-assisted posterior cervical pedicle screw fixation using the robotic system. The accuracy of screw placement, breach rate, and critical structure violations were evaluated. The results were statistically compared with those of previous studies that used different robotic systems for cervical pedicle screw fixation. The robotic system demonstrated a high accuracy rate in screw placement. A significant number of screws were placed within predetermined safe zones. The total entry offset was 1.08 ± 0.83 mm, the target offset was 1.86 ± 0.50 mm, and the angle offset was 2.14 ± 0.77°. Accuracy rates comparable with those of previous studies using different robotic systems were achieved. The system was also feasible, allowing precise navigation and real-time feedback during the procedure. This cadaveric study validated the safety and usability of the novel robotic system for posterior cervical pedicle screw fixation. The system exhibited high precision in screw placement, and the results support the extension of the indications for robot-assisted pedicle screw fixation from the lumbar spine to the cervical spine.
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Affiliation(s)
- Seungjun Ryu
- Department of Neurosurgery, Daejeon Eulji University Hospital, School of Medicine, Eulji University, Daejeon, South Korea
- IBS Center for Cognition and Sociality, Expo-ro, Doryong-dong, Yuseong-gu, Daejeon, South Korea
| | - Byeong-Jin Ha
- Department of Neurosurgery, Hanyang University Guri Hospital, 153 Gyeongchun-ro, Guri, Gyeonggi-do, 11923, Republic of Korea
| | - Sunjin Yoon
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea
| | - Chang Kyu Lee
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea
| | - Dong Ah Shin
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea
| | - Keung-Nyun Kim
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea
| | - Seong Yi
- Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea.
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3
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Javed S, Asad Asif M, Yaqoob E, Mushahid Z, Mohsin Arshad M, Farooq M, Chaurasia B. Neurosurgical landscape in Pakistan: Past, present and future perspectives. J Clin Neurosci 2024; 120:115-119. [PMID: 38237489 DOI: 10.1016/j.jocn.2024.01.005] [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: 11/10/2023] [Revised: 01/02/2024] [Accepted: 01/07/2024] [Indexed: 02/12/2024]
Abstract
Intricate fields have always posed a challenge for the healthcare department all over the world, particularly in developing countries. This article elaborates on the history of neurosurgery in a developing country like Pakistan. In addition, it provides a summary of a roadmap that a young healthcare practitioner, who inspires to become a respectable neurosurgeon may need. After Pakistan gained its independence, Dr. Omer Wali Jooma became the first healthcare practitioner who planted the seed of an official department of Neurosurgery in Jinnah hospital, Karachi. Various challenges include the absence of a non-standardized curriculum, a non-updated syllabus, severe deficiency of neurosurgeons in a country facing massive growth spurt, lack of facilities for a young trainee etc. These factors contribute to the bleeding of the department from various sites and the wounds needs to be addressed and stitched as soon as possible to make the department successful.
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Affiliation(s)
- Saad Javed
- Department of Neurosurgery, Holy Family Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan
| | - Muhammad Asad Asif
- House Surgeon, Department of Neurosurgery , RMU and Allied Hospitals, Rawalpindi
| | - Eesha Yaqoob
- MSPH Scholar Health Services Academy, Islamabad, Pakistan
| | | | | | - Minaam Farooq
- Department of Neurosurgery, Weill Corneill Medicine, Presbyterian Hospital, NY, USA
| | - Bipin Chaurasia
- Consultant Neurosurgeon, Neurosurgery Clinic, Birgunj, Nepal.
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4
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Wang T, Li H, Pu T, Yang L. Microsurgery Robots: Applications, Design, and Development. SENSORS (BASEL, SWITZERLAND) 2023; 23:8503. [PMID: 37896597 PMCID: PMC10611418 DOI: 10.3390/s23208503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023]
Abstract
Microsurgical techniques have been widely utilized in various surgical specialties, such as ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise surgical tool manipulation on a small scale. In microsurgery, operations on delicate vessels or tissues require high standards in surgeons' skills. This exceptionally high requirement in skills leads to a steep learning curve and lengthy training before the surgeons can perform microsurgical procedures with quality outcomes. The microsurgery robot (MSR), which can improve surgeons' operation skills through various functions, has received extensive research attention in the past three decades. There have been many review papers summarizing the research on MSR for specific surgical specialties. However, an in-depth review of the relevant technologies used in MSR systems is limited in the literature. This review details the technical challenges in microsurgery, and systematically summarizes the key technologies in MSR with a developmental perspective from the basic structural mechanism design, to the perception and human-machine interaction methods, and further to the ability in achieving a certain level of autonomy. By presenting and comparing the methods and technologies in this cutting-edge research, this paper aims to provide readers with a comprehensive understanding of the current state of MSR research and identify potential directions for future development in MSR.
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Affiliation(s)
- Tiexin Wang
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
- School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
| | - Haoyu Li
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
| | - Tanhong Pu
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
| | - Liangjing Yang
- ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; (T.W.); (H.L.); (T.P.)
- School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
- Department of Mechanical Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
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5
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Pai SN, Jeyaraman M, Jeyaraman N, Nallakumarasamy A, Yadav S. In the Hands of a Robot, From the Operating Room to the Courtroom: The Medicolegal Considerations of Robotic Surgery. Cureus 2023; 15:e43634. [PMID: 37719624 PMCID: PMC10504870 DOI: 10.7759/cureus.43634] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2023] [Indexed: 09/19/2023] Open
Abstract
Robotic surgery has rapidly evolved as a groundbreaking field in medicine, revolutionizing surgical practices across various specialties. Despite its numerous benefits, the adoption of robotic surgery faces significant medicolegal challenges. This article delves into the underexplored legal implications of robotic surgery and identifies three distinct medicolegal problems. First, the lack of standardized training and credentialing for robotic surgery poses potential risks to patient safety and surgeon competence. Second, informed consent processes require additional considerations to ensure patients are fully aware of the technology's capabilities and potential risks. Finally, the issue of legal liability becomes complex due to the involvement of multiple stakeholders in the functioning of robotic systems. The article highlights the need for comprehensive guidelines, regulations, and training programs to navigate the medicolegal aspects of robotic surgery effectively, thereby unlocking its full potential for the future..
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Affiliation(s)
- Satvik N Pai
- Orthopaedic Surgery, Hospital for Orthopedics, Sports Medicine, Arthritis, and Trauma (HOSMAT) Hospital, Bangalore, IND
| | - Madhan Jeyaraman
- Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND
| | - Naveen Jeyaraman
- Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND
| | - Arulkumar Nallakumarasamy
- Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND
| | - Sankalp Yadav
- Medicine, Shri Madan Lal Khurana Chest Clinic, New Delhi, IND
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6
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Singh R, Wang K, Qureshi MB, Rangel IC, Brown NJ, Shahrestani S, Gottfried ON, Patel NP, Bydon M. Robotics in neurosurgery: Current prevalence and future directions. Surg Neurol Int 2022; 13:373. [PMID: 36128120 PMCID: PMC9479589 DOI: 10.25259/sni_522_2022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 07/31/2022] [Indexed: 12/03/2022] Open
Abstract
Background: The first instance of a robotic-assisted surgery occurred in neurosurgery; however, it is now more common in other fields such as urology and gynecology. This study aims to characterize the prevalence of robotic surgery among current neurosurgery programs as well as identify trends in clinical trials pertaining to robotic neurosurgery. Methods: Each institution’s website was analyzed for the mention of a robotic neurosurgery program and procedures. The future potential of robotics in neurosurgery was assessed by searching for current clinical trials pertaining to neurosurgical robotic surgery. Results: Of the top 100 programs, 30 offer robotic cranial and 40 offer robotic spinal surgery. No significant differences were observed with robotic surgical offerings between geographic regions in the US. Larger programs (faculty size 16 or over) had 20 of the 30 robotic cranial programs (66.6%), whereas 21 of the 40 robotic spinal programs (52.5%) were at larger programs. An initial search of clinical trials revealed 223 studies, of which only 13 pertained to robotic neurosurgery. Spinal fixation was the most common intervention (six studies), followed by Deep Brain Stimulation (DBS, two studies), Cochlear implants (two studies), laser ablation (LITT, one study), and endovascular embolization (one study). Most studies had industry sponsors (9/13 studies), while only five studies had hospital sponsors. Conclusion: Robotic neurosurgery is still in its infancy with less than half of the top programs offering robotic procedures. Future directions for robotics in neurosurgery appear to be focused on increased automation of stereotactic procedures such as DBS and LITT and robot-assisted spinal surgery.
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Affiliation(s)
- Rohin Singh
- Alix School of Medicine, Mayo Clinic, Scottsdale,
| | - Kendra Wang
- Department of Osteopathic Medicine, A. T. Still University, Mesa,
| | | | | | | | | | | | | | - Mohamad Bydon
- Mayo Clinic Neuro-Informatics Laboratory, Rochester, United States
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7
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Collaborative Control Method and Experimental Research on Robot-Assisted Craniomaxillofacial Osteotomy Based on the Force Feedback and Optical Navigation. J Craniofac Surg 2022; 33:2011-2018. [PMID: 35864585 PMCID: PMC9518970 DOI: 10.1097/scs.0000000000008684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/09/2022] [Indexed: 11/26/2022] Open
Abstract
Surgical robot has advantages in high accuracy and stability. But during the robot-assisted bone surgery, the lack of force information from surgical area and incapability of intervention from surgeons become the obstacle. The aim of the study is to introduce a collaborative control method based on the force feedback and optical navigation, which may optimally combine the excellent performance of surgical robot with clinical experiences of surgeons.
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8
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Pérez de la Torre RA, Ramanathan S, Williams AL, Perez-Cruet M. Minimally-Invasive Assisted Robotic Spine Surgery (MARSS). Front Surg 2022; 9:884247. [PMID: 35903260 PMCID: PMC9316616 DOI: 10.3389/fsurg.2022.884247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/12/2022] [Indexed: 11/17/2022] Open
Abstract
Minimally-Invasive robotic spine surgery (MARSS) has expanded the surgeons armamentarium to treat a variety of spinal disorders. In the last decade, robotic developments in spine surgery have improved the safety, accuracy and efficacy of instrumentation placement. Additionally, robotic instruments have been applied to remove tumors in difficult locations while maintaining minimally invasive access. Gross movements by the surgeon are translated into fine, precise movements by the robot. This is exemplified in this chapter with the use of the da Vinci robot to remove apical thoracic tumors. In this chapter, we will review the development, technological advancements, and cases that have been conducted using MARSS to treat spine pathology in a minimally invasive fashion.
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Affiliation(s)
| | - Siddharth Ramanathan
- Department of Neurosurgery, Oakland University William Beaumont, School of Medicine, Royal Oak, MI, United States
| | - Ashley L. Williams
- Department of Neurosurgery, Oakland University William Beaumont, School of Medicine, Royal Oak, MI, United States
| | - Mick J. Perez-Cruet
- Department of Neurosurgery, Oakland University William Beaumont, School of Medicine, Royal Oak, MI, United States
- Michigan Head and Spine Institute, Southfield, MI, United States
- Correspondence: Mick Perez-Cruet
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9
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Silva JB, Busnello CV, Cesarino MR, Xavier LF, Cavazzola LT. Existe espaço para a microcirurgia na cirurgia robótica? Rev Bras Ortop 2022; 57:709-717. [PMID: 36226217 PMCID: PMC9550381 DOI: 10.1055/s-0042-1744496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 02/07/2022] [Indexed: 11/06/2022] Open
Abstract
Robotic surgery opened a new era of minimally-invasive procedures, through its improved precision, elimination of tremors, greater degrees of freedom, and other facilitating aspects. The field of robotic microsurgery showed great growth in recent years in particular, since robotics offers a potentially-ideal configuration to perform the sensitive manipulations required in microsurgery. We conducted a systematic review to assess the benefits of robotic surgery and its contributions to microsurgery, comparing it with other surgical techniques used in patients of all age groups. We assessed 25 articles found in the PubMed and Cochrane databases using the terms '
robotic surgery
' AND
microsurgery
, with a filter for studies published in the last five years, and studies conducted in humans and published in English or Portuguese. We concluded that there is plenty of room for robotic surgery in microsurgery, such as in male infertility procedures, neurological microsurgery, ocular and otological surgeries, and transoral, hepatobiliary, microvascular, plastic and reconstructive surgeries.
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Affiliation(s)
- Jefferson Braga Silva
- Escola de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
- Departamento de Cirurgia da Mão e Microcirurgia Reconstrutiva, Hospital São Lucas, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
| | - Catarina Vellinho Busnello
- Escola de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
| | - Matheus Ribeiro Cesarino
- Escola de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
| | - Luiza Fernandes Xavier
- Escola de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
| | - Leandro Totti Cavazzola
- Departamento de Cirurgia da Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil
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Robotic Handle Prototypes for Endoscopic Endonasal Skull Base Surgery: Pre-clinical Randomised Controlled Trial of Performance and Ergonomics. Ann Biomed Eng 2022; 50:549-563. [PMID: 35258744 PMCID: PMC9001398 DOI: 10.1007/s10439-022-02942-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 02/23/2022] [Indexed: 01/08/2023]
Abstract
Endoscopic endonasal skull base surgery is a promising alternative to transcranial approaches. However, standard instruments lack articulation, and thus, could benefit from robotic technologies. The aim of this study was to develop an ergonomic handle for a handheld robotic instrument intended to enhance this procedure. Two different prototypes were developed based on ergonomic guidelines within the literature. The first is a forearm-mounted handle that maps the surgeon's wrist degrees-of-freedom to that of the robotic end-effector; the second is a joystick-and-trigger handle with a rotating body that places the joystick to the position most comfortable for the surgeon. These handles were incorporated into a custom-designed surgical virtual simulator and were assessed for their performance and ergonomics when compared with a standard neurosurgical grasper. The virtual task was performed by nine novices with all three devices as part of a randomised crossover user-study. Their performance and ergonomics were evaluated both subjectively by themselves and objectively by a validated observational checklist. Both handles outperformed the standard instrument with the rotating joystick-body handle offering the most substantial improvement in terms of balance between performance and ergonomics. Thus, it is deemed the more suitable device to drive instrumentation for endoscopic endonasal skull base surgery.
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Karasin B, Hardinge T, Eskuchen L, Watkinson J. Care of the Patient Undergoing Robotic-Assisted Brain Biopsy With Stereotactic Navigation: An Overview. AORN J 2022; 115:223-236. [PMID: 35213041 DOI: 10.1002/aorn.13622] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/28/2021] [Accepted: 10/05/2021] [Indexed: 11/09/2022]
Abstract
Brain tumors can cause pressure, swelling, and functional changes to the surrounding tissue and lead to sensorimotor symptoms. Such tumors are either benign or malignant and their origin can be primary or metastatic. Although diagnostic studies (eg, computed tomography and magnetic resonance imaging) can reveal a mass and provide information on its location, size, and relationship to surrounding structures, the most definitive way to make a diagnosis requires a brain biopsy tissue sample. The robotic-assisted technique with stereotactic navigation allows the neurosurgeon to merge preoperative scans with a computer program to provide a map of the planned surgical trajectory and use the robot to obtain the biopsy. The robotic-assisted brain biopsy with navigation provides improved accuracy with small incisions that may not be possible using non-robotic-assisted techniques. This article provides background information and an overview of the nursing considerations for patients undergoing robotic-assisted brain biopsy procedures.
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Vilanilam GC, Venkat EH. Editorial. Ethical nuances and medicolegal vulnerabilities in robotic neurosurgery. Neurosurg Focus 2022; 52:E2. [DOI: 10.3171/2021.10.focus21533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- George Chandy Vilanilam
- Department of Neurosurgery, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Easwer Hariharan Venkat
- Department of Neurosurgery, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
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Udayakumaran S, Krishnadas A, Subash P. Robot-assisted frontofacial correction in very young children with craniofacial dysostosis syndromes: a technical note and early functional outcome. Neurosurg Focus 2022; 52:E16. [PMID: 34973669 DOI: 10.3171/2021.10.focus21515] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 10/19/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In this study, the authors aimed to 1) retrospectively analyze the early functional outcomes in a cohort of very young children with craniofacial dysostoses who underwent robot-assisted frontofacial advancement (RAFFA) or robot-assisted midface distraction (RAMD), and 2) analyze the utility of robotic assistance in improving the accuracy and safety of performing transfacial pin insertion for RAFFA or RAMD. METHODS A retrospective analysis of a cohort of 18 children (age range 1-42 months at presentation), who underwent RAFFA or RAMD from February 2015 to February 2021 in the craniofacial unit at Amrita Institute of Medical Sciences and Research Centre in Kochi, India, was performed. Inclusion criteria were patients who had undergone RAFFA in a single stage or RAMD where the cranial vault had been addressed earlier, had been addressed on follow-up, or had not been addressed and had follow-up of at least 6 months. RESULTS Overall, 18 children with syndromic craniosynostosis underwent LeFort level III midface distraction, with or without RAFFA, from February 2015 to February 2021 at a single center in India. The patients' ages ranged from 6 to 47 months at the time of the procedure. All patients had significant obstructive sleep apnea (OSA), significant ocular issues, and disturbed sleep as determined by the authors' preoperative protocol. Clinically significant intracranial pressure issues were present in 17 patients. None of the patients had injury due to the transfacial pin trajectory such as globe injury, damage to the tooth buds, or the loss of purchase during the active distraction phase. The mean distraction achieved was 23 mm (range 18-30 mm) (n = 16/18). Of the 18 patients, 10 (56%) had an excellent outcome and 6 (33%) had a satisfactory outcome. In all cases, the degree of OSA had significantly reduced after surgery. Eye closure improved in all patients, and complete closure was seen in 11 patients. On follow-up, the functional gain remained in 14 of 16 patients at the final follow-up visit. The distraction results were stable during the follow-up period (mean 36 months [range 6-72 months]). CONCLUSIONS The early RAFFA and RAMD protocols investigated in this study gave a significant functional advantage in very young patients with craniofacial dysostoses. The results have demonstrated the accuracy and safety of robotic assistance in performing transfacial pin insertion for RAFFA or RAMD.
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Affiliation(s)
- Suhas Udayakumaran
- 1Division of Paediatric Neurosurgery and Craniofacial Surgery, Department of Neurosurgery, Amrita Institute of Medical Sciences and Research Centre, Amrita Viswa Vidyapeetham, Kochi, Kerala; and
| | - Arjun Krishnadas
- 2Division of Craniomaxillofacial Surgery, Amrita Institute of Medical Sciences and Research Centre, Amrita Viswa Vidyapeetham, Kochi, Kerala, India
| | - Pramod Subash
- 2Division of Craniomaxillofacial Surgery, Amrita Institute of Medical Sciences and Research Centre, Amrita Viswa Vidyapeetham, Kochi, Kerala, India
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Abstract
OBJECT The purpose of this review is to highlight the major factors limiting the progress of robotics development in the field of cranial neurosurgery. METHODS A literature search was performed focused on published reports of any Neurosurgical technology developed for use in cranial neurosurgery. Technology was reviewed and assessed for strengths and weaknesses, use in patients and whether or not the project was active or closed. RESULTS Published reports of 24 robots are discussed going back to 1985. In total, there were 9 robots used in patients (PUMA, Robot Hand, EXPERT, Neuromate, Evolution 1, ROSA, iSYS1, NeuroArm and NeuRobot) and only 2 active today (ROSA, NeuroArm). Of all clinically active systems, only three were used in more than 30 patients (ROSA, iSYS1 & NeuroArm). Projects were limited by cost, technology adoption, and clinical utility to actually improve workflow. The most common use of developed robots is for Stereotaxis. CONCLUSIONS There is a clear void in the area of cranial neurosurgery regarding robotics technology despite success in other fields of surgery. Significant factors such as cost, technology limitations, market size and regulatory pathway all contribute to a steep gradient for success.
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Affiliation(s)
- Rami Elsabeh
- Brain and Spine Surgeons of New York, White Plains, NY, USA
| | - Sukhbir Singh
- Brain and Spine Surgeons of New York, White Plains, NY, USA
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15
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Rubino F, Eichberg DG, Cordeiro JG, Di L, Eliahu K, Shah AH, Luther EM, Lu VM, Komotar RJ, Ivan ME. Robotic guidance platform for laser interstitial thermal ablation and stereotactic needle biopsies: a single center experience. J Robot Surg 2021; 16:549-557. [PMID: 34258748 PMCID: PMC8276839 DOI: 10.1007/s11701-021-01278-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 07/04/2021] [Indexed: 11/28/2022]
Abstract
While laser ablation has become an increasingly important tool in the neurosurgical oncologist's armamentarium, deep seated lesions, and those located near critical structures require utmost accuracy during stereotactic laser catheter placement. Robotic devices have evolved significantly over the past two decades becoming an accurate and safe tool for stereotactic neurosurgery. Here, we present our single center experience with the MedTech ROSA ONE Brain robot for robotic guidance in laser interstitial thermal therapy (LITT) and stereotactic biopsies. We retrospectively analyzed the first 70 consecutive patients treated with ROSA device at a single academic medical center. Forty-three patients received needle biopsy immediately followed by LITT with the catheter placed with robotic guidance and 27 received stereotactic needle biopsy alone. All the procedures were performed frameless with skull bone fiducials for registration. We report data regarding intraoperative details, mortality and morbidity, diagnostic yield and lesion characteristics on MRI. Also, we describe the surgical workflow for both procedures. The mean age was 60.3 ± 15 years. The diagnostic yield was positive in 98.5% (n = 69). Sixty-three biopsies (90%) were supratentorial and seven (10%) were infratentorial. Gliomas represented 54.3% of the patients (n = 38). There were two postoperative deaths (2.8%). No permanent morbidity related to surgery were observed. We did not find intraoperative technical problems with the device. There was no need to reposition the needle after the initial placement. Stereotactic robotic guided placement of laser ablation catheters and biopsy needles is safe, accurate, and can be implemented into a neurosurgical workflow.
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Affiliation(s)
- Franco Rubino
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA.
| | - Daniel G Eichberg
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Joacir G Cordeiro
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Long Di
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Karen Eliahu
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Ashish H Shah
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Evan M Luther
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Victor M Lu
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA
| | - Ricardo J Komotar
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA.,Sylvester Comprehensive Cancer Center, Miami, FL, 33146, USA
| | - Michael E Ivan
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Lois Pope Life Center, 1095 NW 14th Terrace (D4-6), Miami, FL, 33146, USA.,Sylvester Comprehensive Cancer Center, Miami, FL, 33146, USA
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Lim A, Schonewille A, Forbrigger C, Looi T, Drake J, Diller E. Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy. IEEE Trans Biomed Eng 2021; 68:846-856. [PMID: 32746054 DOI: 10.1109/tbme.2020.3007581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and dexterity, reduced patient trauma and risk, and promise to lessen the skill gap among surgeons. These approaches are common in general surgery, urology, and gynecology. However, MIS techniques remain largely absent for surgical applications within narrow, confined workspaces, such as neuroendoscopy. The limitation stems from a lack of small yet dexterous robotic tools. In this work, we present the first instance of a surgical robot with a direct magnetically-driven end effector capable of being deployed through a standard neuroendoscopic working channel (3.2 mm outer diameter) and operate at the neuroventricular scale. We propose a physical model for the gripping performance of three unique end-effector magnetization profiles and mechanical designs. Rates of blocking force per external magnetic flux density magnitude were 0.309 N/T, 0.880 N/T, and 0.351 N/T for the three designs which matched the physical model's prediction within 14.9% error. The rate of gripper closure per external magnetic flux density had a mean percent error of 11.2% compared to the model. The robot's performance was qualitatively evaluated during a pineal region tumor resection on a tumor analogue in a silicone brain phantom. These results suggest that wireless magnetic actuation may be feasible for dexterously manipulating tissue during minimally invasive neurosurgical procedures.
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Abstract
This paper provides a brief history of medical robotic systems. Since the first use of robots in medical procedures, there have been countless companies competing to developed robotic systems in hopes to dominate a field. Many companies have succeeded, and many have failed. This review paper shows the timeline history of some of the old and most successful medical robots and new robotic systems. As the patents of the most successful system, i.e., Da Vinci® Surgical System, have expired or are expiring soon, this paper can provide some insights for new designers and manufacturers to explore new opportunities in this field.
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Abstract
The advent of telerobotic systems has revolutionized various aspects of the industry and human life. This technology is designed to augment human sensorimotor capabilities to extend them beyond natural competence. Classic examples are space and underwater applications when distance and access are the two major physical barriers to be combated with this technology. In modern examples, telerobotic systems have been used in several clinical applications, including teleoperated surgery and telerehabilitation. In this regard, there has been a significant amount of research and development due to the major benefits in terms of medical outcomes. Recently telerobotic systems are combined with advanced artificial intelligence modules to better share the agency with the operator and open new doors of medical automation. In this review paper, we have provided a comprehensive analysis of the literature considering various topologies of telerobotic systems in the medical domain while shedding light on different levels of autonomy for this technology, starting from direct control, going up to command-tracking autonomous telerobots. Existing challenges, including instrumentation, transparency, autonomy, stochastic communication delays, and stability, in addition to the current direction of research related to benefit in telemedicine and medical automation, and future vision of this technology, are discussed in this review paper.
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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: 11] [Impact Index Per Article: 2.8] [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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Soldozy S, Young S, Yağmurlu K, Norat P, Sokolowski J, Park MS, Jane JA, Syed HR. Transsphenoidal surgery using robotics to approach the sella turcica: Integrative use of artificial intelligence, realistic motion tracking and telesurgery. Clin Neurol Neurosurg 2020; 197:106152. [PMID: 32858256 DOI: 10.1016/j.clineuro.2020.106152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/07/2020] [Accepted: 08/09/2020] [Indexed: 11/27/2022]
Abstract
While full integration of robotic surgery has been achieved in other surgical domains, its transition into neurosurgery has been more prolonged, especially with respect to pituitary surgery. The confined working space and precise maneuvers required in endoscopic endonasal surgery makes development of an efficacious and safe robotic system difficult. Nevertheless, preclinical studies have attempted to demonstrate the feasibility of the da Vinci Surgical System (Intuitive Surgical, Sunnyvale, CA) in both transnasal and transoral approaches. In addition, unique robotics such as the concentric tube robot have been created. This system is optimized specifically for anterior skull base surgery with smaller shaft diameter arms and improved maneuverability in tight corridors. The possible role of concentric tube robotics surgery in skull base pathologies has been explored, and the novel use of telesurgery incorporated into robotic neurosurgery is discussed. An endoscopic endonasal transsphenoidal surgical system has also been developed, integrating computational methods to create a presurgical reconstructive model for surgical planning and automating the line of dissection for an enhanced approach to the sphenoid sinus. While surgical robotics for transsphenoidal surgery remain in its nascency, these preliminary findings are promising and suggest a role for robotic pituitary surgery.
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Affiliation(s)
- Sauson Soldozy
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Steven Young
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Kaan Yağmurlu
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Pedro Norat
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Jennifer Sokolowski
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Min S Park
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - John A Jane
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States
| | - Hasan R Syed
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, United States.
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21
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Alfalahi H, Renda F, Stefanini C. Concentric Tube Robots for Minimally Invasive Surgery: Current Applications and Future Opportunities. ACTA ACUST UNITED AC 2020. [DOI: 10.1109/tmrb.2020.3000899] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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22
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Forbrigger C, Lim A, Onaizah O, Salmanipour S, Looi T, Drake J, Diller ED. Cable-Less, Magnetically Driven Forceps for Minimally Invasive Surgery. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2019.2894504] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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23
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Jiang B, Karim Ahmed A, Zygourakis CC, Kalb S, Zhu AM, Godzik J, Molina CA, Blitz AM, Bydon A, Crawford N, Theodore N. Pedicle screw accuracy assessment in ExcelsiusGPS® robotic spine surgery: evaluation of deviation from pre-planned trajectory. Chin Neurosurg J 2018; 4:23. [PMID: 32922884 PMCID: PMC7398380 DOI: 10.1186/s41016-018-0131-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 08/05/2018] [Indexed: 11/28/2022] Open
Abstract
Background The ExcelsiusGPS® (Globus Medical, Inc., Audubon, PA) is a next-generation spine surgery robotic system recently approved for use in the United States. The objective of the current study is to assess pedicle screw accuracy and clinical outcomes among two of the first operative cases utilizing the ExcelsiusGPS® robotic system and describe a novel metric to quantify screw deviation. Methods Two patients who underwent lumbar fusion at a single institution with the ExcelsiusGPS® surgical robot were included. Pre-operative trajectory planning was performed from an intra-operative CT scan using the O-arm (Medtronic, Inc., Minneapolis, MN). After robotic-assisted screw implantation, a post-operative CT scan was obtained to confirm ideal screw placement and accuracy with the planned trajectory. A novel pedicle screw accuracy algorithm was devised to measure screw tip/tail deviation distance and angular offset on axial and sagittal planes. Screw accuracy was concurrently determined by a blinded neuroradiologist using the traditional Gertzbein-Robbins method. Clinical variables such as symptomatology, operative data, and post-operative follow-up were also collected. Results Eight pedicle screws were placed in two L4-L5 fusion cases. Mean screw tip deviation was 2.1 mm (range 0.8–5.2 mm), mean tail deviation was 3.2 mm (range 0.9–5.4 mm), and mean angular offset was 2.4 degrees (range 0.7–3.8 degrees). All eight screws were accurately placed based on the Gertzbein-Robbins scale (88% Grade A and 12% Grade B). There were no cases of screw revision or new post-operative deficit. Both patients experienced improvement in Frankel grade and Karnofsky Performance Status (KPS) score by 6 weeks post-op. Conclusion The ExcelsiusGPS® robot allows for precise execution of an intended pre-planned trajectory and accurate screw placement in the first patients to undergo robotic-assisted fusion with this technology.
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Affiliation(s)
- Bowen Jiang
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
| | - A Karim Ahmed
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
| | - Corinna C Zygourakis
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
| | - Samuel Kalb
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA.,Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ USA
| | - Alex M Zhu
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
| | - Jakub Godzik
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ USA
| | - Camilo A Molina
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA.,Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans Street, Zayed Tower Mailstop 6007, Baltimore, 21287 MD USA
| | - Ari M Blitz
- Department of Neuroradiology, Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N Wolfe St, Baltimore, MD 21287 USA
| | - Ali Bydon
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
| | - Neil Crawford
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ USA.,Globus Medical Inc, 2560 General Armistead Ave, Audubon, 19403 PA USA
| | - Nicholas Theodore
- Department of Neurosurgery, The Johns Hopkins School of Medicine, The Johns Hopkins Hospital, 600 N. Wolfe Street, Meyer 7-113, Baltimore, MD 21287 USA
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A Skull-Mounted Robot with a Compact and Lightweight Parallel Mechanism for Positioning in Minimally Invasive Neurosurgery. Ann Biomed Eng 2018; 46:1465-1478. [DOI: 10.1007/s10439-018-2037-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Accepted: 04/20/2018] [Indexed: 11/26/2022]
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Abstract
Recent biotechnological advances, including three-dimensional microscopy and endoscopy, virtual reality, surgical simulation, surgical robotics, and advanced neuroimaging, have continued to mold the surgeon-computer relationship. For developing neurosurgeons, such tools can reduce the learning curve, improve conceptual understanding of complex anatomy, and enhance visuospatial skills. We explore the current and future roles and application of virtual reality and simulation in neurosurgical training.
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Chinbe H, Yoneyama T, Watanabe T, Miyashita K, Nakada M. Finger-attachment device for the feedback of gripping and pulling force in a manipulating system for brain tumor resection. Int J Comput Assist Radiol Surg 2017; 13:3-12. [DOI: 10.1007/s11548-017-1640-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 06/28/2017] [Indexed: 11/30/2022]
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Gonen L, Chakravarthi SS, Monroy-Sosa A, Celix JM, Kojis N, Singh M, Jennings J, Fukui MB, Rovin RA, Kassam AB. Initial experience with a robotically operated video optical telescopic-microscope in cranial neurosurgery: feasibility, safety, and clinical applications. Neurosurg Focus 2017; 42:E9. [DOI: 10.3171/2017.3.focus1712] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVEThe move toward better, more effective optical visualization in the field of neurosurgery has been a focus of technological innovation. In this study, the authors’ objectives are to describe the feasibility and safety of a new robotic optical platform, namely, the robotically operated video optical telescopic-microscope (ROVOT-m), in cranial microsurgical applications.METHODSA prospective database comprising patients who underwent a cranial procedure between April 2015 and September 2016 was queried, and the first 200 patients who met the inclusion criteria were selected as the cohort for a retrospective chart review. Only adults who underwent microsurgical procedures in which the ROVOT-m was used were considered for the study. Preoperative, intraoperative, and postoperative data were retrieved from electronic medical records. The authors address the feasibility and safety of the ROVOT-m by studying various intraoperative variables and by reporting perioperative morbidity and mortality, respectively. To assess the learning curve, cranial procedures were categorized into 6 progressively increasing complexity groups. The main categories of pathology were I) intracerebral hemorrhages (ICHs); II) intraaxial tumors involving noneloquent regions or noncomplex extraaxial tumors; III) intraaxial tumors involving eloquent regions; IV) skull base pathologies; V) intraventricular lesions; and VI) cerebrovascular lesions. In addition, the entire cohort was evenly divided into early and late cohorts.RESULTSThe patient cohort comprised 104 female (52%) and 96 male (48%) patients with a mean age of 56.7 years. The most common pathological entities encountered were neoplastic lesions (153, 76.5%), followed by ICH (20, 10%). The distribution of cases by complexity categories was 11.5%, 36.5%, 22%, 20%, 3.5%, and 6.5% for Categories I, II, II, IV, V, and VI, respectively. In all 200 cases, the surgical goal was achieved without the need for intraoperative conversion. Overall, the authors encountered 3 (1.5%) major neurological morbidities and 6 (3%) 30-day mortalities. Four of the 6 deaths were in the ICH group, resulting in a 1% mortality rate for the remainder of the cohort when excluding these patients. None of the intraoperative complications were considered to be attributable to the visualization provided by the ROVOT-m. When comparing the early and late cohorts, the authors noticed an increase in the proportion of higher-complexity surgeries (Categories IV–VI), from 23% in the early cohort, to 37% in the late cohort (p = 0.030). In addition, a significant reduction in operating room setup time was demonstrated (p < 0.01).CONCLUSIONSThe feasibility and safety of the ROVOT-m was demonstrated in a wide range of cranial microsurgical applications. The authors report a gradual increase in case complexity over time, representing an incremental acquisition of experience with this technology. A learning curve of both setup and execution phases should be anticipated by new adopters of the robot system. Further prospective studies are required to address the efficacy of ROVOT-m. This system may play a role in neurosurgery as an integrated platform that is applicable to a variety of cranial procedures.
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Carai A, Mastronuzzi A, De Benedictis A, Messina R, Cacchione A, Miele E, Randi F, Esposito G, Trezza A, Colafati GS, Savioli A, Locatelli F, Marras CE. Robot-Assisted Stereotactic Biopsy of Diffuse Intrinsic Pontine Glioma: A Single-Center Experience. World Neurosurg 2017; 101:584-588. [PMID: 28254596 DOI: 10.1016/j.wneu.2017.02.088] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Revised: 02/16/2017] [Accepted: 02/17/2017] [Indexed: 12/29/2022]
Abstract
BACKGROUND Diffuse intrinsic pontine glioma (DIPG) is a childhood tumor with a dismal prognosis. Emerging molecular signatures have paved the way for stereotactic biopsy in selected centers. We present our experience in DIPG stereotactic needle biopsy using the Robotic Stereotactic-Assisted system (ROSA) in a series of consecutive pediatric patients. METHODS All stereotactic biopsy procedures for DIPG performed during the last year at our institution were considered. All procedures were carried out using the ROSA surgical assistant through a precoronary approach. All children underwent a postoperative computed tomography scan to document possible surgical complications and confirm the site of biopsy. Postoperative clinical changes were recorded to test morbidity of the procedure. RESULTS In the last year, we performed 7 pontine needle biopsies. Specimens were diagnostic and useful for molecular analysis in all cases. No surgical complications were observed. One child showed a transient neurologic worsening related to the biopsy that resolved within 2 weeks. The combination of the precoronary approach and use of the stereotactic ROSA system allowed single-session surgeries in all cases. CONCLUSIONS Pontine biopsy for DIPG is a safe procedure in selected centers. The advantages of the single-session procedure we described might be of particular interest in the pediatric setting.
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Affiliation(s)
- Andrea Carai
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Angela Mastronuzzi
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Alessandro De Benedictis
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
| | - Raffaella Messina
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Antonella Cacchione
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Evelina Miele
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Franco Randi
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giacomo Esposito
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea Trezza
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Neurosurgery, Department of Surgery and Translational Medicine, Milan Center for Neuroscience, University of Milano Bicocca, San Gerardo Hospital, Monza, Italy
| | | | - Alessandra Savioli
- Intensive Care Unit, Department of Emergency, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Franco Locatelli
- Department of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Pediatric Science, University of Pavia, Pavia, Italy
| | - Carlo Efisio Marras
- Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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Avgousti S, Christoforou EG, Panayides AS, Voskarides S, Novales C, Nouaille L, Pattichis CS, Vieyres P. Medical telerobotic systems: current status and future trends. Biomed Eng Online 2016; 15:96. [PMID: 27520552 PMCID: PMC4983067 DOI: 10.1186/s12938-016-0217-7] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 08/02/2016] [Indexed: 01/27/2023] Open
Abstract
Teleoperated medical robotic systems allow procedures such as surgeries, treatments, and diagnoses to be conducted across short or long distances while utilizing wired and/or wireless communication networks. This study presents a systematic review of the relevant literature between the years 2004 and 2015, focusing on medical teleoperated robotic systems which have witnessed tremendous growth over the examined period. A thorough insight of telerobotics systems discussing design concepts, enabling technologies (namely robotic manipulation, telecommunications, and vision systems), and potential applications in clinical practice is provided, while existing limitations and future trends are also highlighted. A representative paradigm of the short-distance case is the da Vinci Surgical System which is described in order to highlight relevant issues. The long-distance telerobotics concept is exemplified through a case study on diagnostic ultrasound scanning. Moreover, the present review provides a classification into short- and long-distance telerobotic systems, depending on the distance from which they are operated. Telerobotic systems are further categorized with respect to their application field. For the reviewed systems are also examined their engineering characteristics and the employed robotics technology. The current status of the field, its significance, the potential, as well as the challenges that lie ahead are thoroughly discussed.
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Affiliation(s)
- Sotiris Avgousti
- Nursing Department, School of Health and Science, Cyprus University of Technology, 30 Archbishop Kyprianou Street, 3036 Limassol, Cyprus
| | - Eftychios G. Christoforou
- Department of Electrical and Computer Engineering, University of Cyprus, 75 Kalipoleos Street, P.O.BOX 20537, 1678 Nicosia, Cyprus
| | - Andreas S. Panayides
- Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, SW7 2AZ UK
- Department of Computer Science, University of Cyprus, 75 Kalipoleos Street, P.O.BOX 20537, 1678 Nicosia, Cyprus
| | - Sotos Voskarides
- Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, 30 Archbishop Kyprianou Street, 3036 Lemesos, Cyprus
| | - Cyril Novales
- Laboratoire PRISME-Universite d’Orleans, 63 Avenue de Lattre de Tassigny, 18020 Bourges, France
| | - Laurence Nouaille
- Laboratoire PRISME-Universite d’Orleans, 63 Avenue de Lattre de Tassigny, 18020 Bourges, France
| | - Constantinos S. Pattichis
- Department of Computer Science, University of Cyprus, 75 Kalipoleos Street, P.O.BOX 20537, 1678 Nicosia, Cyprus
| | - Pierre Vieyres
- Laboratoire PRISME-Universite d’Orleans, 63 Avenue de Lattre de Tassigny, 18020 Bourges, France
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