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Hedaoo K, Sinha M, Chauhan BPS, Bajaj J, Ratre S, Swamy M, Parihar V, Shakya J, Sharma M, Patidar J, Yadav YR. Neuroendoscopy Training. Asian J Neurosurg 2025; 20:1-9. [PMID: 40041584 PMCID: PMC11875708 DOI: 10.1055/s-0044-1791713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2025] Open
Abstract
Neuroendoscopy can be learnt by assisting or doing live human surgery, cadaver dissection with or without augmented pulsatile vessel and cerebrospinal fluid (CSF) perfusion, and practicing on live animal, dead animal model, synthetic models, three-dimensional printing model with or without augmentation with animal, cadaver tissue, pulsatile vessel and reconstructed CSF model, virtual reality (VR) simulator, and hybrid simulators (combined physical model and VR model). Neurosurgery skill laboratory with basic and advanced learning should be there in all teaching hospitals. Skills can be transferred from simulation model or VR to cadaver to live surgery. Staged learning (first with simple model to learn basic endoscopic technique, then animal model, and then augmented cadavers) is the preferred method of learning. Although most surveys favor live surgery and practice on animal models and cadavers as the most preferred training model now, in future VR may also become a favored method of learning. This article is based on our experience in over 10,000 neuroendoscopic surgeries, and feedback from over 950 neuroendoscopic fellows or consultants who attended workshops conducted every 6 monthly since 2010. A literature search was done on PubMed and Google Scholar using (neuroendoscopy) AND (learning), and (neuroendoscopy) AND (training), which resulted in 121 and 213 results, respectively. Out of them, 77 articles were finally selected for this article. Most of the training programs typically focus on microneurosurgical training. There is lack of learning facilities for neuroendoscopy in most centers. Learning of neuroendoscopy differs greatly from microneurosurgery; switching from microneurosurgery to neuroendoscopy can be challenging. Postgraduate training centers should have well-equipped neuroendoscopy skill laboratory and the surgical educational curriculum should include neuroendoscopy training. Learning endoscopy is about taking advantages of the technique and overcoming the limitations of endoscopy by continuous training.
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Affiliation(s)
- Ketan Hedaoo
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Mallika Sinha
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Bhanu Pratap Singh Chauhan
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Jitin Bajaj
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Shailendra Ratre
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - M.N. Swamy
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Vijay Parihar
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Jitendra Shakya
- Department of Neurosurgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Mukesh Sharma
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Jayant Patidar
- Department of Neurosurgery, Superspeciality Hospital NSCB Medical College, Jabalpur, Madhya Pradesh, India
| | - Yad Ram Yadav
- Department of Neurosciences, Apex Hospital and Research Centre, Jabalpur, Madhya Pradesh, India
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2
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Saemann A, De Rosa A, Zubizarreta Oteiza J, Sharma N, Thieringer FM, Soleman J, Guzman R. Innovating neurosurgical training: a comprehensive evaluation of a 3D-printed intraventricular neuroendoscopy simulator and systematic review of the literature. Front Surg 2024; 11:1446067. [PMID: 39563915 PMCID: PMC11573785 DOI: 10.3389/fsurg.2024.1446067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 10/10/2024] [Indexed: 11/21/2024] Open
Abstract
Objective The objective of this study was to develop and evaluate a low-cost 3D-printed simulator to improve the ability of neurosurgical residents to handle and coordinate endoscopes in performing technically demanding procedures such as neuroendoscopic removal of ventricular tumors or endoscopic third ventriculostomy (ETV). Methods The simulator was developed, printed in-house, and evaluated in a trial involving neurosurgery residents who performed ETV and intraventricular tumor resection tasks using it. Participants completed a questionnaire that assessed various aspects of the simulator's effectiveness, including anatomical visualization, procedural understanding, competency enhancement, and subjective impressions. Results A total of 12 participants were included in the evaluation. The majority (n = 7, 53.85%) were male, with a mean age of 29.8 ± 3.27 years and 4 ± 2 years of neurosurgical experience. All participants agreed or strongly agreed (4.5 ± 0.50) that the 3D printed simulator helped develop systematic intraventricular visualization and understanding of surgical steps (4.42 ± 0.64). The handling of the endoscope was rated as realistic (4.5 ± 0.50), while the haptic qualities of the tumor were rated lower (3.83 ± 0.80; 3.92 ± 0.64). Training increased competence (4.25 ± 0.45) and coordination skills (4.5 ± 0.50), with 75% (n = 9) feeling more confident with neuroendoscopic instruments and 91.7% (n = 11) in future procedures. Conclusion The developed 3D-printed simulator offers an accessible and practical training resource for neurosurgical residents, addressing the limitations of traditional training methods. The simulator appears to improve procedural skills and the competence of future neurosurgeons, potentially improving patient safety and outcomes in neurosurgical practice.
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Affiliation(s)
- Attill Saemann
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
| | - Adriana De Rosa
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
| | - Jokin Zubizarreta Oteiza
- Department of Oral and Cranio-Maxillofacial Surgery and 3D Print Lab, University Hospital Basel, Basel, Switzerland
- Medical Additive Manufacturing Research Group (Swiss MAM), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Neha Sharma
- Department of Oral and Cranio-Maxillofacial Surgery and 3D Print Lab, University Hospital Basel, Basel, Switzerland
- Medical Additive Manufacturing Research Group (Swiss MAM), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Florian M Thieringer
- Department of Oral and Cranio-Maxillofacial Surgery and 3D Print Lab, University Hospital Basel, Basel, Switzerland
- Medical Additive Manufacturing Research Group (Swiss MAM), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Faculty of Medicine, University of Basel, Basel, Switzerland
| | - Jehuda Soleman
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
- Faculty of Medicine, University of Basel, Basel, Switzerland
| | - Raphael Guzman
- Department of Neurosurgery, University Hospital Basel, Basel, Switzerland
- Faculty of Medicine, University of Basel, Basel, Switzerland
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Judy BF, Menta A, Pak HL, Azad TD, Witham TF. Augmented Reality and Virtual Reality in Spine Surgery: A Comprehensive Review. Neurosurg Clin N Am 2024; 35:207-216. [PMID: 38423736 DOI: 10.1016/j.nec.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Augmented reality (AR) and virtual reality (VR) are powerful technologies with proven utility and tremendous potential. Spine surgery, in particular, may benefit from these developing technologies for resident training, preoperative education for patients, surgical planning and execution, and patient rehabilitation. In this review, the history, current applications, challenges, and future of AR/VR in spine surgery are examined.
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Affiliation(s)
- Brendan F Judy
- Department of Neurosurgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, 1800 Orleans Street, 6007 Zayed Tower, Baltimore, MD 21287, USA.
| | - Arjun Menta
- Department of Neurosurgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, 1800 Orleans Street, 6007 Zayed Tower, Baltimore, MD 21287, USA
| | - Ho Lim Pak
- Department of Neurosurgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, 1800 Orleans Street, 6007 Zayed Tower, Baltimore, MD 21287, USA
| | - Tej D Azad
- Department of Neurosurgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, 1800 Orleans Street, 6007 Zayed Tower, Baltimore, MD 21287, USA
| | - Timothy F Witham
- Department of Neurosurgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, 1800 Orleans Street, 6007 Zayed Tower, Baltimore, MD 21287, USA.
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Deng Z, Xiang N, Pan J. State of the Art in Immersive Interactive Technologies for Surgery Simulation: A Review and Prospective. Bioengineering (Basel) 2023; 10:1346. [PMID: 38135937 PMCID: PMC10740891 DOI: 10.3390/bioengineering10121346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/08/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Immersive technologies have thrived on a strong foundation of software and hardware, injecting vitality into medical training. This surge has witnessed numerous endeavors incorporating immersive technologies into surgery simulation for surgical skills training, with a growing number of researchers delving into this domain. Relevant experiences and patterns need to be summarized urgently to enable researchers to establish a comprehensive understanding of this field, thus promoting its continuous growth. This study provides a forward-looking perspective by reviewing the latest development of immersive interactive technologies for surgery simulation. The investigation commences from a technological standpoint, delving into the core aspects of virtual reality (VR), augmented reality (AR) and mixed reality (MR) technologies, namely, haptic rendering and tracking. Subsequently, we summarize recent work based on the categorization of minimally invasive surgery (MIS) and open surgery simulations. Finally, the study showcases the impressive performance and expansive potential of immersive technologies in surgical simulation while also discussing the current limitations. We find that the design of interaction and the choice of immersive technology in virtual surgery development should be closely related to the corresponding interactive operations in the real surgical speciality. This alignment facilitates targeted technological adaptations in the direction of greater applicability and fidelity of simulation.
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Affiliation(s)
- Zihan Deng
- Department of Computing, School of Advanced Technology, Xi’an Jiaotong-Liverpool Uiversity, Suzhou 215123, China;
| | - Nan Xiang
- Department of Computing, School of Advanced Technology, Xi’an Jiaotong-Liverpool Uiversity, Suzhou 215123, China;
| | - Junjun Pan
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;
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Miltykh I, Kafarov ES, Covantsev S, Dadashev AS, Skarlis AA, Zenin OK. A new dimension in medical education: Virtual reality in anatomy during COVID-19 pandemic. Clin Anat 2023; 36:1007-1015. [PMID: 37485993 DOI: 10.1002/ca.24098] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023]
Abstract
Virtual reality technology has been increasingly used in the field of anatomy education, particularly in response to the COVID-19 pandemic. Virtual reality in anatomy (VRA) allows the creation of immersive, three-dimensional environments or experiences that can interact in a seemingly real or physical way. A comprehensive search of electronic databases was conducted to identify relevant studies. The search included studies published between 2020 and June 2023. The use of VRA education has been shown to be effective in improving students' understanding and retention of knowledge, as well as developing practical skills such as surgical techniques. VRA can allow students to visualize and interact with complex structures and systems in a way that is not possible with traditional methods. It can also provide a safe and ethical alternative to cadavers, which may be in short supply or have access restrictions. Additionally, VRA can be used to create customized learning experiences, allowing students to focus on specific areas of anatomy or to repeat certain exercises as needed. However, there are also limitations to the use of VRA education, including cost and the need for specialized equipment and training, as well as concerns about the realism and accuracy of VRA models. To fully utilize the potential of VRA education, it is important for educators to carefully consider the appropriate use of VR and to continuously evaluate its effectiveness. It is important for educators to carefully consider the appropriate use of VRA and to continuously evaluate its effectiveness to fully utilize its potential.
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Affiliation(s)
- Ilia Miltykh
- Department of Human Anatomy, Penza State University, Penza, Russia
- Θ.Υ.Ε.∑.Π.Α. Program, National and Kapodistrian University of Athens, Athens, Greece
| | - Edgar S Kafarov
- Department of Normal and Topographic Anatomy with Operative Surgery, Chechen State University, Grozny, Russia
| | - Serghei Covantsev
- Department of Research and Clinical Development, Botkin Hospital, Moscow, Russia
| | - Ali S Dadashev
- Department of Normal and Topographic Anatomy with Operative Surgery, Chechen State University, Grozny, Russia
| | - Apostolos A Skarlis
- Data Protection Officer, National Center of Emergency Healthcare, Athens, Greece
- School of Law, National and Kapodistrian University of Athens, Athens, Greece
| | - Oleg K Zenin
- Department of Human Anatomy, Penza State University, Penza, Russia
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6
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Adnan S, Xiao J. A scoping review on the trends of digital anatomy education. Clin Anat 2023; 36:471-491. [PMID: 36583721 DOI: 10.1002/ca.23995] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/31/2022]
Abstract
Digital technologies are changing the landscape of anatomy education. To reveal the trend of digital anatomy education across medical science disciplines, searches were performed using PubMed, EMBASE, and MEDLINE bibliographic databases for research articles published from January 2010 to June 2021 (inclusive). The search was restricted to publications written in English language and to articles describing teaching tools in undergraduate and postgraduate anatomy and pre-vocational clinical anatomy training courses. Among 156 included studies across six health disciplines, 35% used three-dimensional (3D) digital printing tools, 24.2% augmented reality (AR), 22.3% virtual reality (VR), 11.5% web-based programs, and 4.5% tablet-based apps. There was a clear discipline-dependent preference in the choice and employment of digital anatomy education. AR and VR were the more commonly adopted digital tools for medical and surgical anatomy education, while 3D printing is more broadly used for nursing, allied health and dental health education compared to other digital resources. Digital modalities were predominantly adopted for applied interactive anatomy education and primarily in advanced anatomy curricula such as regional anatomy and neuroanatomy. Moreover, there was a steep increase in VR anatomy combining digital simulation for surgical anatomy training. There is a consistent increase in the adoption of digital modalities in anatomy education across all included health disciplines. AR and VR anatomy incorporating digital simulation will play a more prominent role in medical education of the future. Combining multimodal digital resources that supports blended and interactive learning will further modernize anatomy education, moving medical education further away from its didactic history.
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Affiliation(s)
- Sharmeen Adnan
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Junhua Xiao
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia
- School of Allied Health, La Trobe University, Bundoora, Australia
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Xiao J, Adnan S. Flipped anatomy classroom integrating multimodal digital resources shows positive influence upon students' experience and learning performance. ANATOMICAL SCIENCES EDUCATION 2022; 15:1086-1102. [PMID: 35751579 PMCID: PMC9796349 DOI: 10.1002/ase.2207] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 06/18/2022] [Accepted: 06/19/2022] [Indexed: 05/21/2023]
Abstract
Anatomy is shifting toward a greater focus on adopting digital delivery. To advance digital and authentic learning in anatomy, a flipped classroom model integrating multimodal digital resources and a multimedia group assignment was designed and implemented for first-year neuroanatomy and third-year regional anatomy curricula. A five-point Likert scale learning and teaching survey was conducted for a total of 145 undergraduate health science students to evaluate students' perception of the flipped classroom model and digital resources. This study revealed that over two-thirds of participants strongly agreed or agreed that the flipped classroom model helped their independent learning and understanding of difficult anatomy concepts. The response showed students consistently enjoyed their experience of using multimodal digital anatomy resources. Both first-year (75%) and third-year (88%) students strongly agreed or agreed that digital tools are very valuable and interactive for studying anatomy. Most students strongly agreed or agreed that digital anatomy tools increased their learning experience (~80%) and confidence (> 70%). The third-year students rated the value of digital anatomy tools significantly higher than the first-year students (p = 0.0038). A taxonomy-based assessment strategy revealed that the third-year students, but not the first-year, demonstrated improved performance in assessments relating to clinical application (p = 0.045). In summary, a flipped anatomy classroom integrating multimodal digital approaches exerted positive impact upon learning experience of both junior and senior students, the latter of whom demonstrated improved learning performance. This study extends the pedagogy innovation of flipped classroom teaching, which will advance future anatomy curriculum development, pertinent to post-pandemic education.
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Affiliation(s)
- Junhua Xiao
- Department of Health Sciences and Biostatistics, School of Health SciencesSwinburne University of TechnologyHawthornVictoriaAustralia
- School of Allied HealthLa Trobe UniversityBundooraVictoriaAustralia
| | - Sharmeen Adnan
- Department of Health Sciences and Biostatistics, School of Health SciencesSwinburne University of TechnologyHawthornVictoriaAustralia
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8
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Podkovik S, Patchana T, Farr S, Brazdzionis J, Marino M, Savla P, Kashyap S, Chin B, Crouch A, Miulli DE. External Ventricular Drain (EVD) Placement Using a Hands-On Training Session on a Simple Three-Dimensional (3D) Model. Cureus 2022; 14:e28014. [PMID: 36134074 PMCID: PMC9470865 DOI: 10.7759/cureus.28014] [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: 06/15/2022] [Accepted: 08/14/2022] [Indexed: 11/29/2022] Open
Abstract
Neurosurgery is a demanding field with small margins of error within the operative field. Small errors can yield devastating consequences. Simulation has been proposed as a methodology for improving surgical skills within the neurosurgical realm. This study was conducted to investigate a novel realistic design for a clinical simulation based, low-cost alternative of external ventricular drain (EVD) placement, an essential basic neurosurgical procedure that is necessary for clinicians to master. A low-cost three-dimensional (3D) printed head using thermoplastic polylactic acid was designed with the tactile feedback of outer table, cancellous bone, and inner tables for drilling with replaceable frontal bones pieces for multi-use purposes. An agar gel filled with water was designed to simulate tactile passage through the cortex and into the ventricles. Neurosurgical and emergency resident physicians participated in a didactic session and then attempted placement of an EVD using the model to gauge the simulated model for accuracy and realism. Positioning, procedural time, and realism was evaluated. Improvements in procedural time and positioning were identified for both neurosurgical and emergency medicine (EM) residents. Catheter placement was within ideal position for all participants by the third attempt. All residents stated they felt more comfortable with placement with subsequent attempts. Neurosurgical residents subjectively noted similarities in tactile feedback during drilling compared to in-vivo. A low-cost realistic 3D printed model simulating basic neurosurgical procedures demonstrated improved procedural times and precision with neurosurgical and EM residents. Further, similarities between in-vivo tactile feedback and the low-cost simulation technology was noted. This low cost-model may be used as an adjunct for teaching to promote early procedural competency in neurosurgical techniques to promote learning without predisposition to patient morbidity.
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9
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Iop A, El-Hajj VG, Gharios M, de Giorgio A, Monetti FM, Edström E, Elmi-Terander A, Romero M. Extended Reality in Neurosurgical Education: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:6067. [PMID: 36015828 PMCID: PMC9414210 DOI: 10.3390/s22166067] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/06/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Surgical simulation practices have witnessed a rapid expansion as an invaluable approach to resident training in recent years. One emerging way of implementing simulation is the adoption of extended reality (XR) technologies, which enable trainees to hone their skills by allowing interaction with virtual 3D objects placed in either real-world imagery or virtual environments. The goal of the present systematic review is to survey and broach the topic of XR in neurosurgery, with a focus on education. Five databases were investigated, leading to the inclusion of 31 studies after a thorough reviewing process. Focusing on user performance (UP) and user experience (UX), the body of evidence provided by these 31 studies showed that this technology has, in fact, the potential of enhancing neurosurgical education through the use of a wide array of both objective and subjective metrics. Recent research on the topic has so far produced solid results, particularly showing improvements in young residents, compared to other groups and over time. In conclusion, this review not only aids to a better understanding of the use of XR in neurosurgical education, but also highlights the areas where further research is entailed while also providing valuable insight into future applications.
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Affiliation(s)
- Alessandro Iop
- Department of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
| | - Victor Gabriel El-Hajj
- Department of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Maria Gharios
- Department of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Andrea de Giorgio
- SnT—Interdisciplinary Center for Security, Reliability and Trust, University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg
| | | | - Erik Edström
- Department of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Adrian Elmi-Terander
- Department of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Mario Romero
- KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
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10
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Park CK. 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training. J Korean Neurosurg Soc 2022; 65:489-498. [PMID: 35762226 PMCID: PMC9271812 DOI: 10.3340/jkns.2021.0235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/17/2021] [Indexed: 11/27/2022] Open
Abstract
Spatial insight into intracranial pathology and structure is important for neurosurgeons to perform safe and successful surgeries. Three-dimensional (3D) printing technology in the medical field has made it possible to produce intuitive models that can help with spatial perception. Recent advances in 3D-printed disease models have removed barriers to entering the clinical field and medical market, such as precision and texture reality, speed of production, and cost. The 3D-printed disease model is now ready to be actively applied to daily clinical practice in neurosurgical planning, simulation, and training. In this review, the development of 3D-printed neurosurgical disease models and their application are summarized and discussed.
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Affiliation(s)
- Chul-Kee Park
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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11
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Wickramasinghe N, Thompson BR, Xiao J. The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review. JMIR MEDICAL EDUCATION 2022; 8:e34687. [PMID: 35594064 PMCID: PMC9166657 DOI: 10.2196/34687] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/23/2022] [Accepted: 03/25/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND Anatomy has been the cornerstone of medical education for centuries. However, given the advances in the Internet of Things, this landscape has been augmented in the past decade, shifting toward a greater focus on adopting digital technologies. Digital anatomy is emerging as a new discipline that represents an opportunity to embrace advances in digital health technologies and apply them to the domain of modern medical sciences. Notably, the use of augmented or mixed and virtual reality as well as mobile and platforms and 3D printing in modern anatomy has dramatically increased in the last 5 years. OBJECTIVE This review aims to outline the emerging area of digital anatomy and summarize opportunities and challenges for incorporating digital anatomy in medical science education and practices. METHODS Literature searches were performed using the PubMed, Embase, and MEDLINE bibliographic databases for research articles published between January 2005 and June 2021 (inclusive). Out of the 4650 articles, 651 (14%) were advanced to full-text screening and 77 (1.7%) were eligible for inclusion in the narrative review. We performed a Strength, Weakness, Opportunity, and Threat (SWOT) analysis to evaluate the role that digital anatomy plays in both the learning and teaching of medicine and health sciences as well as its practice. RESULTS Digital anatomy has not only revolutionized undergraduate anatomy education via 3D reconstruction of the human body but is shifting the paradigm of pre- and vocational training for medical professionals via digital simulation, advancing health care. Importantly, it was noted that digital anatomy not only benefits in situ real time clinical practice but also has many advantages for learning and teaching clinicians at multiple levels. Using the SWOT analysis, we described strengths and opportunities that together serve to underscore the benefits of embracing digital anatomy, in particular the areas for collaboration and medical advances. The SWOT analysis also identified a few weaknesses associated with digital anatomy, which are primarily related to the fact that the current reach and range of applications for digital anatomy are very limited owing to its nascent nature. Furthermore, threats are limited to technical aspects such as hardware and software issues. CONCLUSIONS This review highlights the advances in digital health and Health 4.0 in key areas of digital anatomy analytics. The continuous evolution of digital technologies will increase their ability to reinforce anatomy knowledge and advance clinical practice. However, digital anatomy education should not be viewed as a simple technical conversion and needs an explicit pedagogical framework. This review will be a valuable asset for educators and researchers to incorporate digital anatomy into the learning and teaching of medical sciences and their practice.
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Affiliation(s)
- Nilmini Wickramasinghe
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- Epworth Healthcare, Melbourne, Australia
| | - Bruce R Thompson
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- Alfred Health, Melbourne, Australia
- School of Health Sciences, University of Melbourne, Parkville, Australia
| | - Junhua Xiao
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- School of Allied Health, La Trobe University, Bundoora, Australia
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12
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Deighton AJ, Chhatwal K, Das D. Digital tools in neurosurgical pathways: considerations for the future. Future Healthc J 2022; 9:67-74. [DOI: 10.7861/fhj.2021-0163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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13
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Xiong R, Zhang S, Gan Z, Qi Z, Liu M, Xu X, Wang Q, Zhang J, Li F, Chen X. A novel 3D-vision-based collaborative robot as a scope holding system for port surgery: a technical feasibility study. Neurosurg Focus 2022; 52:E13. [PMID: 34973666 DOI: 10.3171/2021.10.focus21484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/18/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A clear, stable, suitably located vision field is essential for port surgery. A scope is usually held by hand or a fixing device. The former yields fatigue and requires lengthy training, while the latter increases inconvenience because of needing to adjust the scope. Thus, the authors innovated a novel robotic system that can recognize the port and automatically place the scope in an optimized position. In this study, the authors executed a preliminary experiment to test this system's technical feasibility and accuracy in vitro. METHODS A collaborative robotic (CoBot) system consisting of a mechatronic arm and a 3D camera was developed. With the 3D camera and programmed machine vision, CoBot can search a marker attached to the opening of the surgical port, followed by automatic alignment of the scope's axis with the port's longitudinal axis so that optimal illumination and visual observation can be achieved. Three tests were conducted. In test 1, the robot positioned a laser range finder attached to the robot's arm to align the sheath's center axis. The laser successfully passing through two holes in the port sheath's central axis defined successful positioning. Researchers recorded the finder's readings, demonstrating the actual distance between the finder and the sheath. In test 2, the robot held a high-definition exoscope and relocated it to the setting position. Test 3 was similar to test 2, but a metal holder substituted the robot. Trained neurosurgeons manually adjusted the holder. The manipulation time was recorded. Additionally, a grading system was designed to score each image captured by the exoscope at the setting position, and the scores in the two tests were compared using the rank-sum test. RESULTS The CoBot system positioned the finder successfully in all rounds in test 1; the mean height errors ± SD were 1.14 mm ± 0.38 mm (downward) and 1.60 mm ± 0.89 mm (upward). The grading scores of images in tests 2 and 3 were significantly different. Regarding the total score and four subgroups, test 2 showed a more precise, better-positioned, and more stable vision field. The total manipulation time in test 2 was 20 minutes, and for test 3 it was 52 minutes. CONCLUSIONS The CoBot system successfully acted as a robust scope holding system to provide a stable and optimized surgical view during simulated port surgery, providing further evidence for the substitution of human hands, and leading to a more efficient, user-friendly, and precise operation.
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Affiliation(s)
- Ruochu Xiong
- 1Medical School of Chinese PLA, Beijing.,2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Shiyu Zhang
- 1Medical School of Chinese PLA, Beijing.,2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Zhichao Gan
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and.,3Medical School, Nankai University, Tianjin, China
| | - Ziyu Qi
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and.,3Medical School, Nankai University, Tianjin, China
| | - Minghang Liu
- 1Medical School of Chinese PLA, Beijing.,2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Xinghua Xu
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Qun Wang
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Jiashu Zhang
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Fangye Li
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
| | - Xiaolei Chen
- 2Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing; and
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14
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Examining the benefits of extended reality in neurosurgery: A systematic review. J Clin Neurosci 2021; 94:41-53. [PMID: 34863461 DOI: 10.1016/j.jocn.2021.09.037] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/18/2021] [Accepted: 09/25/2021] [Indexed: 01/14/2023]
Abstract
While well-established in other surgical subspecialties, the benefits of extended reality, consisting of virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies, remains underexplored in neurosurgery despite its increasing utilization. To address this gap, we conducted a systematic review of the effects of extended reality (XR) in neurosurgery with an emphasis on the perioperative period, to provide a guide for future clinical optimization. Seven primary electronic databases were screened following guidelines outlined by PRISMA and the Institute of Medicine. Reported data related to outcomes in the perioperative period and resident training were all examined, and a focused analysis of studies reporting controlled, clinical outcomes was completed. After removal of duplicates, 2548 studies were screened with 116 studies reporting measurable effects of XR in neurosurgery. The majority (82%) included cranial based applications related to tumor surgery with 34% showing improved resection rates and functional outcomes. A rise in high-quality studies was identified from 2017 to 2020 compared to all previous years (p = 0.004). Primary users of the technology were: 56% neurosurgeon (n = 65), 28% residents (n = 33) and 5% patients (n = 6). A final synthesis was conducted on 10 controlled studies reporting patient outcomes. XR technologies have demonstrated benefits in preoperative planning and multimodal neuronavigation especially for tumor surgery. However, few studies have reported patient outcomes in a controlled design demonstrating a need for higher quality data. XR platforms offer several advantages to improve patient outcomes and specifically, the patient experience for neurosurgery.
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15
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Alsayegh A, Bakhaidar M, Winkler-Schwartz A, Yilmaz R, Del Maestro RF. Best Practices Using Ex Vivo Animal Brain Models in Neurosurgical Education to Assess Surgical Expertise. World Neurosurg 2021; 155:e369-e381. [PMID: 34419656 DOI: 10.1016/j.wneu.2021.08.061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 08/12/2021] [Accepted: 08/12/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Ex vivo animal brain simulation models are being increasingly used for neurosurgical training because these models can replicate human brain conditions. The goal of the present report is to provide the neurosurgical community interested in using ex vivo animal brain simulation models with guidelines for comprehensively and rigorously conducting, documenting, and assessing this type of research. METHODS In consultation with an interdisciplinary group of physicians and researchers involved in ex vivo models and a review of the literature on the best practices guidelines for simulation research, we developed the "ex vivo brain model to assess surgical expertise" (EVBMASE) checklist. The EVBMASE checklist provides a comprehensive quantitative framework for analyzing and reporting studies involving these models. We applied The EVBMASE checklist to the studies reported of ex vivo animal brain models to document how current ex vivo brain simulation models are used to train surgical expertise. RESULTS The EVBMASE checklist includes defined subsections and a total score of 20, which can help investigators improve studies and provide readers with techniques to better assess the quality and any deficiencies of the research. We classified 18 published ex vivo brain models into modified (group 1) and nonmodified (group 2) models. The mean total EVBMASE score was 11 (55%) for group 1 and 4.8 (24.2%) for group 2, a statistically significant difference (P = 0.006) mainly attributed to differences in the simulation study design section (P = 0.003). CONCLUSIONS The present findings should help contribute to more rigorous application, documentation, and assessment of ex vivo brain simulation research.
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Affiliation(s)
- Ahmad Alsayegh
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Division of Neurosurgery, Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
| | - Mohamad Bakhaidar
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Division of Neurosurgery, Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Alexander Winkler-Schwartz
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Recai Yilmaz
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Rolando F Del Maestro
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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16
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Davids J, Manivannan S, Darzi A, Giannarou S, Ashrafian H, Marcus HJ. Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance. Neurosurg Rev 2021; 44:1853-1867. [PMID: 32944808 PMCID: PMC8338820 DOI: 10.1007/s10143-020-01378-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 07/17/2020] [Accepted: 08/21/2020] [Indexed: 02/07/2023]
Abstract
At a time of significant global unrest and uncertainty surrounding how the delivery of clinical training will unfold over the coming years, we offer a systematic review, meta-analysis, and bibliometric analysis of global studies showing the crucial role simulation will play in training. Our aim was to determine the types of simulators in use, their effectiveness in improving clinical skills, and whether we have reached a point of global acceptance. A PRISMA-guided global systematic review of the neurosurgical simulators available, a meta-analysis of their effectiveness, and an extended analysis of their progressive scholarly acceptance on studies meeting our inclusion criteria of simulation in neurosurgical education were performed. Improvement in procedural knowledge and technical skills was evaluated. Of the identified 7405 studies, 56 studies met the inclusion criteria, collectively reporting 50 simulator types ranging from cadaveric, low-fidelity, and part-task to virtual reality (VR) simulators. In all, 32 studies were included in the meta-analysis, including 7 randomised controlled trials. A random effects, ratio of means effects measure quantified statistically significant improvement in procedural knowledge by 50.2% (ES 0.502; CI 0.355; 0.649, p < 0.001), technical skill including accuracy by 32.5% (ES 0.325; CI - 0.482; - 0.167, p < 0.001), and speed by 25% (ES - 0.25, CI - 0.399; - 0.107, p < 0.001). The initial number of VR studies (n = 91) was approximately double the number of refining studies (n = 45) indicating it is yet to reach progressive scholarly acceptance. There is strong evidence for a beneficial impact of adopting simulation in the improvement of procedural knowledge and technical skill. We show a growing trend towards the adoption of neurosurgical simulators, although we have not fully gained progressive scholarly acceptance for VR-based simulation technologies in neurosurgical education.
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Affiliation(s)
- Joseph Davids
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, Holborn, London, WC1N 3BG, UK.
- Imperial College Healthcare NHS Trust, St Mary's Praed St, Paddington, London, W2 1NY, UK.
| | - Susruta Manivannan
- Department of Neurosurgery, Southampton University NHS Trust, Tremona Road, Southampton, SO16 6YD, UK
| | - Ara Darzi
- Imperial College Healthcare NHS Trust, St Mary's Praed St, Paddington, London, W2 1NY, UK
| | - Stamatia Giannarou
- Imperial College Healthcare NHS Trust, St Mary's Praed St, Paddington, London, W2 1NY, UK
| | - Hutan Ashrafian
- Imperial College Healthcare NHS Trust, St Mary's Praed St, Paddington, London, W2 1NY, UK
| | - Hani J Marcus
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, Holborn, London, WC1N 3BG, UK
- Imperial College Healthcare NHS Trust, St Mary's Praed St, Paddington, London, W2 1NY, UK
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17
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Haji FA. Simulation in Neurosurgical Education During the COVID-19 Pandemic and Beyond. Can J Neurol Sci 2021; 48:152-154. [PMID: 33077011 PMCID: PMC8060615 DOI: 10.1017/cjn.2020.234] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Faizal A. Haji
- Division of Neurosurgery, Department of Surgery, Faculty of Health Sciences, Queen’s University and Kingston Health Sciences Centre, Kingston, Ontario, Canada
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18
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Lungu AJ, Swinkels W, Claesen L, Tu P, Egger J, Chen X. A review on the applications of virtual reality, augmented reality and mixed reality in surgical simulation: an extension to different kinds of surgery. Expert Rev Med Devices 2020; 18:47-62. [PMID: 33283563 DOI: 10.1080/17434440.2021.1860750] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Research proves that the apprenticeship model, which is the gold standard for training surgical residents, is obsolete. For that reason, there is a continuing effort toward the development of high-fidelity surgical simulators to replace the apprenticeship model. Applying Virtual Reality Augmented Reality (AR) and Mixed Reality (MR) in surgical simulators increases the fidelity, level of immersion and overall experience of these simulators.Areas covered: The objective of this review is to provide a comprehensive overview of the application of VR, AR and MR for distinct surgical disciplines, including maxillofacial surgery and neurosurgery. The current developments in these areas, as well as potential future directions, are discussed.Expert opinion: The key components for incorporating VR into surgical simulators are visual and haptic rendering. These components ensure that the user is completely immersed in the virtual environment and can interact in the same way as in the physical world. The key components for the application of AR and MR into surgical simulators include the tracking system as well as the visual rendering. The advantages of these surgical simulators are the ability to perform user evaluations and increase the training frequency of surgical residents.
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Affiliation(s)
- Abel J Lungu
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Wout Swinkels
- Computational Sensing Systems, Department of Engineering Technology, Hasselt University, Diepenbeek, Belgium
| | - Luc Claesen
- Computational Sensing Systems, Department of Engineering Technology, Hasselt University, Diepenbeek, Belgium
| | - Puxun Tu
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jan Egger
- Graz University of Technology, Institute of Computer Graphics and Vision, Graz, Austria.,Graz Department of Oral &maxillofacial Surgery, Medical University of Graz, Graz, Austria.,The Laboratory of Computer Algorithms for Medicine, Medical University of Graz, Graz, Austria
| | - Xiaojun Chen
- Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
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19
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Licci M, Thieringer FM, Guzman R, Soleman J. Development and validation of a synthetic 3D-printed simulator for training in neuroendoscopic ventricular lesion removal. Neurosurg Focus 2020; 48:E18. [DOI: 10.3171/2019.12.focus19841] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/20/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVENeuroendoscopic surgery using an ultrasonic aspirator represents a valid tool with which to perform the safe resection of deep-seated ventricular lesions, but the handling of neuroendoscopic instruments is technically challenging, requiring extensive training to achieve a steep learning curve. Simulation-based methods are increasingly used to improve surgical skills, allowing neurosurgical trainees to practice in a risk-free, reproducible environment. The authors introduce a synthetic, patient-specific simulator that enables trainees to develop skills for endoscopic ventricular tumor removal, and they evaluate the model’s validity as a training instrument with regard to realism, mechanical proprieties, procedural content, and handling.METHODSThe authors developed a synthetic simulator based on a patient-specific CT data set. The anatomical features were segmented, and several realistic 1:1 skull models with all relevant ventricular structures were fabricated by a 3D printer. Vascular structures and the choroid plexus were included. A tumor model, composed of polyvinyl alcohol, mimicking a soft-consistency lesion, was secured in different spots of the frontal horn and within the third ventricle. Neurosurgical trainees participating in a neuroendoscopic workshop qualitatively assessed, by means of a feedback survey, the properties of the simulator as a training model that teaches neuroendoscopic ultrasonic ventricular tumor surgery; the trainees rated 10 items according to a 5-point Likert scale.RESULTSParticipants appreciated the model as a valid hands-on training tool for neuroendoscopic ultrasonic aspirator tumor removal, highly rating the procedural content. Furthermore, they mostly agreed on its comparably realistic anatomical and mechanical properties. By the model’s first application, the authors were able to recognize possible improvement measures, such as the development of different tumor model textures and the possibility, for the user, of creating a realistic surgical skull approach and neuroendoscopic trajectory.CONCLUSIONSA low-cost, patient-specific, reusable 3D-printed simulator for the training of neuroendoscopic ultrasonic aspirator tumor removal was successfully developed. The simulator is a useful tool for teaching neuroendoscopic techniques and provides support in the development of the required surgical skills.
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Affiliation(s)
- Maria Licci
- 1Department of Neurosurgery, University Hospital of Basel
- 2Division of Pediatric Neurosurgery, Children’s University Hospital of Basel
| | - Florian M. Thieringer
- 3Department of Cranio-Maxillo-Facial Surgery, University Hospital Basel
- 43D Print Lab, University Hospital Basel; and
- 5University of Basel, Switzerland
| | - Raphael Guzman
- 1Department of Neurosurgery, University Hospital of Basel
- 2Division of Pediatric Neurosurgery, Children’s University Hospital of Basel
- 5University of Basel, Switzerland
| | - Jehuda Soleman
- 1Department of Neurosurgery, University Hospital of Basel
- 2Division of Pediatric Neurosurgery, Children’s University Hospital of Basel
- 5University of Basel, Switzerland
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20
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Uruthiralingam U, Rea PM. Augmented and Virtual Reality in Anatomical Education - A Systematic Review. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1235:89-101. [PMID: 32488637 DOI: 10.1007/978-3-030-37639-0_5] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Learning anatomy traditionally has depended on traditional techniques like human cadaveric dissection and the use of textbooks. As technology advances at an ever-rapid speed, there are revolutionary ways to learn anatomy. A number of technologies, techniques and methodologies are utilised in anatomical education, but ones specifically receiving a lot of interest and traction is that of augmented reality and virtual reality. Although there has been a surge in interest in the use of these technologies, the literature is sparse in terms of its evaluation as to the effectiveness of such tools. Therefore, the purpose of this study is to examine in greater detail the literature specifically to see what the best practice in this field could be. By undertaking a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched for articles in both Web of Science and PubMed. Using the terms "augmented reality and teaching anatomy" yielded 88 articles. We then used "virtual reality and teaching anatomy" which resulted in 200 articles. We examined these articles, including that on augmented reality and virtual reality used to teach anatomy to undergraduate and postgraduate students, residents, dentistry, nursing and veterinary students. Articles were excluded if they were systematic reviews, literature reviews, review articles, news articles, articles not written in English and any literature that presented how a virtual model was created without the evidence of students testing it. The inclusion and exclusion criteria for virtual reality were the same as augmented reality. In addition, we examined the articles to identify if they contained data which was quantitative, qualitative or both. The articles were further separated into those which were pro, neutral or against for the use of these digital technologies. Of the 288 articles, duplicate articles totalling 67 were removed and 134 articles were excluded according to our exclusion criteria. Of the 31 articles related to augmented reality, 30 were pro, one neutral and no articles against the use of this technology. Fifty-six articles related to virtual reality were categorised resulted in 45 pro, eight neutral and three against the use of this technology. Overall, the results indicate most articles identified related to both virtual and augmented reality were for the use of those technologies, than neutral or against. This systemic review highlights the recent advances of both augmented reality and virtual reality to implementing the technology into the anatomy course.
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Affiliation(s)
- Umaiyalini Uruthiralingam
- Anatomy Facility, School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Paul M Rea
- Anatomy Facility, School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
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21
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Baby B, Singh R, Suri A, Dhanakshirur RR, Chakraborty A, Kumar S, Kalra PK, Banerjee S. A review of virtual reality simulators for neuroendoscopy. Neurosurg Rev 2019; 43:1255-1272. [PMID: 31444716 DOI: 10.1007/s10143-019-01164-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/03/2019] [Accepted: 08/12/2019] [Indexed: 12/20/2022]
Abstract
Neurosurgery is a challenging surgical specialty that demands many technical and cognitive skills. The traditional surgical training approach of having a trainee coached in the operating room by the faculty is time-consuming, costly, and involves patient risk factors. Simulation-based training methods are suitable to impart the surgical skills outside the operating room. Virtual simulators allow high-fidelity repeatable environment for surgical training. Neuroendoscopy, a minimally invasive neurosurgical technique, demands additional skills for limited maneuverability and eye-hand coordination. This study provides a review of the existing virtual reality simulators for training neuroendoscopic skills. Based on the screening, the virtual training methods developed for neuroendoscopy surgical skills were classified into endoscopic third ventriculostomy and endonasal transsphenoidal surgery trainers. The study revealed that a variety of virtual reality simulators have been developed by various institutions. Although virtual reality simulators are effective for procedure-based skills training, the simulators need to include anatomical variations and variety of cases for improved fidelity. The review reveals that there should be multi-centric prospective and retrospective cohort studies to establish concurrent and predictive validation for their incorporation in the surgical educational curriculum.
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Affiliation(s)
- Britty Baby
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.,Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India
| | - Ramandeep Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Ashish Suri
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India. .,Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India.
| | - Rohan Raju Dhanakshirur
- Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India
| | - Argha Chakraborty
- Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India
| | - Subodh Kumar
- Department of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Prem Kumar Kalra
- Department of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Subhashis Banerjee
- Department of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India
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22
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Singh R, Baby B, Suri A. A Virtual Repository of Neurosurgical Instrumentation for Neuroengineering Research and Collaboration. World Neurosurg 2019; 126:e84-e93. [DOI: 10.1016/j.wneu.2019.01.192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 01/30/2019] [Accepted: 01/31/2019] [Indexed: 10/27/2022]
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Lai HY, Chen MM, Chen CT, Chang TW, Lee ST, Lee CY. A Scoping Review of Medical Education Research in Neurosurgery. World Neurosurg 2019; 126:e1293-e1301. [PMID: 30898758 DOI: 10.1016/j.wneu.2019.03.080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/07/2019] [Accepted: 03/08/2019] [Indexed: 11/27/2022]
Abstract
BACKGROUND Little is known about the state of medical education (ME) research in neurosurgery. As ME started to develop in neurosurgery in recent years, it is important to understand the current status and develop the theory for advancement in neurosurgery. The aim of this study was to undertake a scoping review of neurosurgery literature on ME research. METHODS MEDLINE, SCOPUS, and PubMed databases were searched. Inclusion criteria were full-text articles in English published from January 2006 to December 2017. Research aspects included country of publication, annual number of publications, journal types, type of participants, frequently researched topics, and research design. Search terms included neurosurgery, medical education, teaching, training, learning, and curriculum. RESULTS A total of 9863 references were found across 3 databases. After duplicate removal and further screening, 533 references remained for coding analysis. ME research activity in neurosurgery is increasing and commonly observed in Western countries. Identified articles were mostly quantitative, with curriculum, assessment (especially simulation), and teaching and learning being the most dominant research themes. CONCLUSIONS This study highlights the need for enhanced quantity and quality of ME research in neurosurgery. It identifies areas of highest priority and aspects to be improved and provides us with a rationale for future development in ME in neurosurgery. These findings reveal future education research direction and programmatic research areas, while also establishing a benchmark to assess changes in educational scholarship over time.
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Affiliation(s)
- Hung-Yi Lai
- Department of Neurosurgery, Chang-Gung Memorial Hospital Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan; Chang Gung Medical Education Research Center, Taoyuan, Taiwan
| | - Mi-Mi Chen
- Chang Gung Medical Education Research Center, Taoyuan, Taiwan
| | - Chun-Ting Chen
- Department of Neurosurgery, Chang-Gung Memorial Hospital Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ting-Wei Chang
- Department of Neurosurgery, Chang-Gung Memorial Hospital Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Shih-Tseng Lee
- Department of Neurosurgery, Chang-Gung Memorial Hospital Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ching-Yi Lee
- Department of Neurosurgery, Chang-Gung Memorial Hospital Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan; Chang Gung Medical Education Research Center, Taoyuan, Taiwan.
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Developing a dynamic simulator for endoscopic intraventricular surgeries. Childs Nerv Syst 2019; 35:621-627. [PMID: 30788583 DOI: 10.1007/s00381-019-04087-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 02/07/2019] [Indexed: 10/27/2022]
Abstract
INTRODUCTION A novel dynamic simulator brain model with hydrocephalus has been developed for endoscopic intraventricular procedures. Detachable components allow enhancement of the walls of the ventricle by choroid plexus, ependymal veins and the membranous floor of the third ventricle which are derived from cadaveric lab animal tissues to give a lifelike appearance. These can be changed for every exercise. Ventricles are filled with injection of saline to give appropriate transparent medium and connected to a device transmitting pulsations creating conditions similar to live surgeries. MATERIAL AND METHODS Thirty-five participants have used this model over the last 1 year and found it to be useful for conducting third ventriculostomy. Further development of the model for septostomy, aqueductoplasty and tumour biopsy has also been recently tested successfully by 12 participants. CONCLUSION It is hoped that this simulator model for intraventricular endoscopy is comprehensive as a learning tool in carrying out most of the the surgical procedures currently practised.
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25
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Perry A, Graffeo CS, Carlstrom LP, Anding WJ, Link MJ, Rangel-Castilla L. Novel rodent model for simulation of sylvian fissure dissection and cerebrovascular bypass under subarachnoid hemorrhage conditions: technical note and timing study. Neurosurg Focus 2019; 46:E17. [DOI: 10.3171/2018.11.focus18533] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 11/13/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVESylvian fissure dissection following subarachnoid hemorrhage (SAH) is a challenging but fundamental skill in microneurosurgery, and one that has become increasingly difficult to develop during residency, given the overarching management trends. The authors describe a novel rodent model for simulation of sylvian fissure dissection and cerebrovascular bypass under SAH conditions.METHODSA standardized microvascular anastomosis model comprising rat femoral arteries and veins was used for the experimental framework. In the experimental protocol, following exposure and skeletonization of the vessels, extensive, superficial (1- to 2-mm) soft-tissue debridement was conducted and followed by wound closure and delayed reexploration at intervals of 7, 14, and 28 days. Two residents dissected 1 rat each per time point (n = 6 rats), completing vessel skeletonization followed by end-to-end artery/vein anastomoses. Videos were reviewed postprocedure to assess scar score and relative difficulty of dissection by blinded raters using 4-point Likert scales.RESULTSAt all time points, vessels were markedly invested in friable scar, and exposure was subjectively assessed as a reasonable surrogate for sylvian fissure dissection under SAH conditions. Scar score and relative difficulty of dissection both indicated 14 days as the most challenging time point.CONCLUSIONSThe authors’ experimental model of femoral vessel skeletonization, circumferential superficial soft-tissue injury, and delayed reexploration provides a novel approximation of sylvian fissure dissection and cerebrovascular bypass under SAH conditions. The optimal reexploration interval appears to be 7–14 days. To the authors’ knowledge, this is the first model of SAH simulation for microsurgical training, particularly in a live animal system.
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Affiliation(s)
| | | | | | | | - Michael J. Link
- Departments of 1Neurologic Surgery,
- 3Otolaryngology–Head and Neck Surgery, and
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