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Cuello JF, Bardach A, Gromadzyn G, Ruiz Johnson A, Comandé D, Aguirre E, Ruvinsky S. Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review. Neurosurg Rev 2023; 47:24. [PMID: 38159156 DOI: 10.1007/s10143-023-02263-2] [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: 10/13/2023] [Revised: 12/16/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
Simulation training is an educational tool that provides technical and cognitive proficiency in a risk-free environment. Several models have recently been presented in Latin America and the Caribbean (LAC). However, many of them were presented in non-indexed literature and not included in international reviews. This scoping review aims to describe the simulation models developed in LAC for neurosurgery training. Specifically, it focuses on assessing the models developed in LAC, the simulated neurosurgical procedures, the model's manufacturing costs, and the translational outcomes. Simulation models developed in LAC were considered, with no language or time restriction. Cadaveric, ex vivo, animal, synthetic, and virtual/augmented reality models were included for cranial and spinal procedures. We conducted a review according to the PRISMA-ScR, including international and regional reports from indexed and non-indexed literature. Two independent reviewers screened articles. Conflicts were resolved by a third reviewer using Covidence software. We collected data regarding the country of origin, recreated procedure, type of model, model validity, and manufacturing costs. Upon screening 917 studies, 69 models were developed in LAC. Most of them were developed in Brazil (49.28%). The most common procedures were related to general neurosurgery (20.29%), spine (17.39%), and ventricular neuroendoscopy and cerebrovascular (15.94% both). Synthetic models were the most frequent ones (38.98%). The manufacturing cost ranged from 4.00 to 2005.00 US Dollars. To our knowledge, this is the first scoping review about simulation models in LAC, setting the basis for future research studies. It depicts an increasing number of simulation models in the region, allowing a wide range of neurosurgical training in a resource-limited setting.
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Affiliation(s)
| | - Ariel Bardach
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
- Centro de Investigaciones Epidemiológicas y Salud Pública (CIESP-IECS), CONICET, Buenos Aires, Argentina
| | - Guido Gromadzyn
- Neurosurgery Department, Hospital Garrahan, Buenos Aires, Argentina
| | | | - Daniel Comandé
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
| | - Emilio Aguirre
- Neurosurgery Department, Hospital Cordero, San Fernando, Argentina
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Shah S, Kapur A, Young A, Boele F, Bekker H, Pompili C. Healthcare professional experiences of making surgical oncology decisions and delivering COVID-19 safe care: a qualitative study. Acta Chir Belg 2023; 123:640-646. [PMID: 36089887 DOI: 10.1080/00015458.2022.2122313] [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: 07/25/2022] [Accepted: 09/04/2022] [Indexed: 01/08/2023]
Abstract
BACKGROUND The COVID-19 pandemic was declared a public health emergency in March 2020. The British National Health Service (NHS) redirected medical attention towards prioritising COVID-19-positive patients in favour of less urgent care affecting cancer service provision. This study aims to explore experiences of healthcare professionals (HCPs) and investigate the impact of COVID-19 on decision-making in surgical oncology. METHODS HCPs with experience in surgical oncology were recruited from January 2021 to June 2021. Qualitative semi-structured telephone interviews were conducted and transcribed verbatim. Interviews were conducted until data saturation. Thematic analysis was used to identify frequently discussed themes. RESULTS A total of 13 participants were interviewed, identifying three main pandemic-related challenges: multi-disciplinary team (MDT) processes - telephone pre-operative assessments impoverished information elicited from in-person examination; service delivery - personal protective equipment (PPE) added complexity to surgical practice and more difficult communication; work routines - increased workload to deliver COVID-safe remote practices and decreased training time. CONCLUSIONS COVID-19 influenced cancer service provision with teams making significant changes to ensure that effective clinical reasoning and surgical standards were maintained. Managing safe COVID-19 surgical care impacted daily-life and work stressors. Post crisis, service delivery is looking to integrate telemedicine within care whilst reducing its impact on workload and in-practice training.
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Affiliation(s)
- Salonee Shah
- Leeds Institute of Health Sciences, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Alanah Kapur
- Leeds Institute of Health Sciences, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Alastair Young
- Department of Pancreatic Surgery, St James's University Hospital, Leeds, UK
| | - Florien Boele
- Section of Patient Centred Outcomes Research, Leeds Institute of Medical Research at St James's, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Hilary Bekker
- Faculty of Medicine and Health, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Cecilia Pompili
- Leeds Institute of Health Sciences, Faculty of Medicine and Health, University of Leeds, Leeds, UK
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Williams SC, Ahmed R, Davids JD, Funnell JP, Hanrahan JG, Layard Horsfall H, Muirhead W, Nicolosi F, Thorne L, Marcus HJ, Grover P. Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score. World Neurosurg X 2023; 20:100230. [PMID: 37456690 PMCID: PMC10344945 DOI: 10.1016/j.wnsx.2023.100230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 05/11/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Background Neurosurgical training is changing globally. Reduced working hours and training opportunities, increased patient safety expectations, and the impact of COVID-19 have reduced operative exposure. Benchtop simulators enable trainees to develop surgical skills in a controlled environment. We aim to validate a high-fidelity simulator model (RetrosigmoidBox, UpSurgeOn) for the retrosigmoid approach to the cerebellopontine angle (CPA). Methods Novice and expert Neurosurgeons and Ear, Nose, and Throat surgeons performed a surgical task using the model - identification of the trigeminal nerve. Experts completed a post-task questionnaire examining face and content validity. Construct validity was assessed through scoring of operative videos employing Objective Structured Assessment of Technical Skills (OSATS) and a novel Task-Specific Outcome Measure score. Results Fifteen novice and five expert participants were recruited. Forty percent of experts agreed or strongly agreed that the brain tissue looked real. Experts unanimously agreed that the RetrosigmoidBox was appropriate for teaching. Statistically significant differences were noted in task performance between novices and experts, demonstrating construct validity. Median total OSATS score was 14/25 (IQR 10-19) for novices and 22/25 (IQR 20-22) for experts (p < 0.05). Median Task-Specific Outcome Measure score was 10/20 (IQR 7-17) for novices compared to 19/20 (IQR 18.5-19.5) for experts (p < 0.05). Conclusion The RetrosigmoidBox benchtop simulator has a high degree of content and construct validity and moderate face validity. The changing landscape of neurosurgical training mean that simulators are likely to become increasingly important in the delivery of high-quality education. We demonstrate the validity of a Task-Specific Outcome Measure score for performance assessment of a simulated approach to the CPA.
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Affiliation(s)
- Simon C. Williams
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - Razna Ahmed
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
- Queen Square Institute of Neurology, University College London, London, UK
| | - Joseph Darlington Davids
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Institute of Global Health Innovation and Hamlyn Centre for Robotics Surgery, Imperial College London, London, UK
| | - Jonathan P. Funnell
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - John Gerrard Hanrahan
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - Hugo Layard Horsfall
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - William Muirhead
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - Federico Nicolosi
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Lewis Thorne
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Hani J. Marcus
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK
| | - Patrick Grover
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
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Santona G, Madoglio A, Mattavelli D, Rigante M, Ferrari M, Lauretti L, Mattogno P, Parrilla C, De Bonis P, Galli J, Olivi A, Fontanella MM, Fiorentino A, Serpelloni M, Doglietto F. Training models and simulators for endoscopic transsphenoidal surgery: a systematic review. Neurosurg Rev 2023; 46:248. [PMID: 37725193 PMCID: PMC10509294 DOI: 10.1007/s10143-023-02149-3] [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: 07/17/2023] [Revised: 08/29/2023] [Accepted: 09/02/2023] [Indexed: 09/21/2023]
Abstract
Endoscopic transsphenoidal surgery is a novel surgical technique requiring specific training. Different models and simulators have been recently suggested for it, but no systematic review is available. To provide a systematic and critical literature review and up-to-date description of the training models or simulators dedicated to endoscopic transsphenoidal surgery. A search was performed on PubMed and Scopus databases for articles published until February 2023; Google was also searched to document commercially available. For each model, the following features were recorded: training performed, tumor/arachnoid reproduction, assessment and validation, and cost. Of the 1199 retrieved articles, 101 were included in the final analysis. The described models can be subdivided into 5 major categories: (1) enhanced cadaveric heads; (2) animal models; (3) training artificial solutions, with increasing complexity (from "box-trainers" to multi-material, ct-based models); (4) training simulators, based on virtual or augmented reality; (5) Pre-operative planning models and simulators. Each available training model has specific advantages and limitations. Costs are high for cadaver-based solutions and vary significantly for the other solutions. Cheaper solutions seem useful only for the first stages of training. Most models do not provide a simulation of the sellar tumor, and a realistic simulation of the suprasellar arachnoid. Most artificial models do not provide a realistic and cost-efficient simulation of the most delicate and relatively common phase of surgery, i.e., tumor removal with arachnoid preservation; current research should optimize this to train future neurosurgical generations efficiently and safely.
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Affiliation(s)
- Giacomo Santona
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Alba Madoglio
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
- Department of Neurosurgery, Sant' Anna University Hospital, Ferrara, Italy
| | - Davide Mattavelli
- Otorhinolaryngology-Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, ASST Spedali Civili of Brescia, University of Brescia, Brescia, Italy
| | - Mario Rigante
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Ferrari
- Section of Otorhinolaryngology-Head and Neck Surgery, Department of Neurosciences, University of Padua - Azienda Ospedaliera di Padova, Padua, Italy
| | - Liverana Lauretti
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Pierpaolo Mattogno
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Claudio Parrilla
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Pasquale De Bonis
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
- Department of Neurosurgery, Sant' Anna University Hospital, Ferrara, Italy
| | - Jacopo Galli
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Otorhinolaryngology, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Largo Agostino Gemelli, 8, 00168, Rome, Italy
| | - Alessandro Olivi
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Maria Fontanella
- Neurosurgery, Department of Medical and Surgical Specialties, Radiologic Sciences, and Public Health, University of Brescia - ASST Spedali Civili di Brescia, Brescia, Italy
| | - Antonio Fiorentino
- Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy
| | - Mauro Serpelloni
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Francesco Doglietto
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy.
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
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Ahmed R, Muirhead W, Williams SC, Bagchi B, Datta P, Gupta P, Salvadores Fernandez C, Funnell JP, Hanrahan JG, Davids JD, Grover P, Tiwari MK, Murphy M, Marcus HJ. A synthetic model simulator for intracranial aneurysm clipping: validation of the UpSurgeOn AneurysmBox. Front Surg 2023; 10:1185516. [PMID: 37325417 PMCID: PMC10264641 DOI: 10.3389/fsurg.2023.1185516] [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: 03/13/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
Background and objectives In recent decades, the rise of endovascular management of aneurysms has led to a significant decline in operative training for surgical aneurysm clipping. Simulation has the potential to bridge this gap and benchtop synthetic simulators aim to combine the best of both anatomical realism and haptic feedback. The aim of this study was to validate a synthetic benchtop simulator for aneurysm clipping (AneurysmBox, UpSurgeOn). Methods Expert and novice surgeons from multiple neurosurgical centres were asked to clip a terminal internal carotid artery aneurysm using the AneurysmBox. Face and content validity were evaluated using Likert scales by asking experts to complete a post-task questionnaire. Construct validity was evaluated by comparing expert and novice performance using the modified Objective Structured Assessment of Technical Skills (mOSATS), developing a curriculum-derived assessment of Specific Technical Skills (STS), and measuring the forces exerted using a force-sensitive glove. Results Ten experts and eighteen novices completed the task. Most experts agreed that the brain looked realistic (8/10), but far fewer agreed that the brain felt realistic (2/10). Half the expert participants (5/10) agreed that the aneurysm clip application task was realistic. When compared to novices, experts had a significantly higher median mOSATS (27 vs. 14.5; p < 0.01) and STS score (18 vs. 9; p < 0.01); the STS score was strongly correlated with the previously validated mOSATS score (p < 0.01). Overall, there was a trend towards experts exerting a lower median force than novices, however, these differences were not statistically significant (3.8 N vs. 4.0 N; p = 0.77). Suggested improvements for the model included reduced stiffness and the addition of cerebrospinal fluid (CSF) and arachnoid mater. Conclusion At present, the AneurysmBox has equivocal face and content validity, and future versions may benefit from materials that allow for improved haptic feedback. Nonetheless, it has good construct validity, suggesting it is a promising adjunct to training.
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Affiliation(s)
- Razna Ahmed
- Queen Square Institute of Neurology, University College London, London, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
| | - William Muirhead
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Simon C. Williams
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Biswajoy Bagchi
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Nanoengineered Systems Laboratory, Department of Mechanical Engineering, University College London, London, United Kingdom
| | - Priyankan Datta
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Nanoengineered Systems Laboratory, Department of Mechanical Engineering, University College London, London, United Kingdom
| | - Priya Gupta
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Nanoengineered Systems Laboratory, Department of Mechanical Engineering, University College London, London, United Kingdom
| | - Carmen Salvadores Fernandez
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Nanoengineered Systems Laboratory, Department of Mechanical Engineering, University College London, London, United Kingdom
| | - Jonathan P. Funnell
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - John G. Hanrahan
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Joseph D. Davids
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
- Institute of Global Health Innovation and Hamlyn Centre for Robotics Surgery, Imperial College London, London, United Kingdom
| | - Patrick Grover
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Manish K. Tiwari
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Nanoengineered Systems Laboratory, Department of Mechanical Engineering, University College London, London, United Kingdom
| | - Mary Murphy
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Hani J. Marcus
- Queen Square Institute of Neurology, University College London, London, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
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Singh R, Godiyal AK, Chavakula P, Suri A. Craniotomy Simulator with Force Myography and Machine Learning-Based Skills Assessment. Bioengineering (Basel) 2023; 10:bioengineering10040465. [PMID: 37106652 PMCID: PMC10136274 DOI: 10.3390/bioengineering10040465] [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: 01/21/2023] [Revised: 02/24/2023] [Accepted: 02/26/2023] [Indexed: 04/29/2023] Open
Abstract
Craniotomy is a fundamental component of neurosurgery that involves the removal of the skull bone flap. Simulation-based training of craniotomy is an efficient method to develop competent skills outside the operating room. Traditionally, an expert surgeon evaluates the surgical skills using rating scales, but this method is subjective, time-consuming, and tedious. Accordingly, the objective of the present study was to develop an anatomically accurate craniotomy simulator with realistic haptic feedback and objective evaluation of surgical skills. A CT scan segmentation-based craniotomy simulator with two bone flaps for drilling task was developed using 3D printed bone matrix material. Force myography (FMG) and machine learning were used to automatically evaluate the surgical skills. Twenty-two neurosurgeons participated in this study, including novices (n = 8), intermediates (n = 8), and experts (n = 6), and they performed the defined drilling experiments. They provided feedback on the effectiveness of the simulator using a Likert scale questionnaire on a scale ranging from 1 to 10. The data acquired from the FMG band was used to classify the surgical expertise into novice, intermediate and expert categories. The study employed naïve Bayes, linear discriminant (LDA), support vector machine (SVM), and decision tree (DT) classifiers with leave one out cross-validation. The neurosurgeons' feedback indicates that the developed simulator was found to be an effective tool to hone drilling skills. In addition, the bone matrix material provided good value in terms of haptic feedback (average score 7.1). For FMG-data-based skills evaluation, we achieved maximum accuracy using the naïve Bayes classifier (90.0 ± 14.8%). DT had a classification accuracy of 86.22 ± 20.8%, LDA had an accuracy of 81.9 ± 23.6%, and SVM had an accuracy of 76.7 ± 32.9%. The findings of this study indicate that materials with comparable biomechanical properties to those of real tissues are more effective for surgical simulation. In addition, force myography and machine learning provide objective and automated assessment of surgical drilling skills.
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Affiliation(s)
- Ramandeep Singh
- Neuro-Engineering Lab, Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Anoop Kant Godiyal
- Department of Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Parikshith Chavakula
- Neuro-Engineering Lab, Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Ashish Suri
- Neuro-Engineering Lab, Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi 110029, India
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Singh R, Singh R, Sen C, Gautam U, Roy S, Suri A. Mechanical Characterization and Standardization of Silicon Scalp and Dura Surrogates for Neurosurgical Simulation. World Neurosurg 2023; 169:e197-e205. [PMID: 36415013 DOI: 10.1016/j.wneu.2022.10.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/25/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Simulation-based neurosurgical training allows the development of surgical skills outside the operating room. However, the use of nonstandardized materials and poor haptic feedback remain the primary limitations of the surgical simulators. Therefore, this work proposes a comprehensive scheme for scalp and dura surrogate synthesis and their standardization for neurosurgical training. METHODS Eight different variants of silicone-based scalp (S1-S8) and dura (D1-D8) surrogates were synthesized. The samples were evaluated by 26 neurosurgeons. They provided their feedback in a Likert scale questionnaire. Kruskal-Wallis test with Dunn multiple comparisons was used for statistical analysis of surgeons' scores. The samples were mechanically characterized using Shore A hardness and dynamic nanoindentation testing. RESULTS The highest mean Likert score values were obtained for S3 scalp and D8 dura variants. The comparison of S3 and D8 with the rest of the variants in the respective groups was statistically significant in 21 of 28 instances. The average Shore A hardness and storage modulus of the S3 variant were 21.9 DU and 505.3 kPa, respectively. The corresponding values for the D8 variant were 32.5 DU and 632 kPa, respectively. CONCLUSIONS This study proposes a method for the synthesis, evaluation, and standardization of scalp and dura surrogates. The study achieved standardized silicone compositions along with a recommendable range of Shore hardness and viscoelastic moduli values for the scalp and dura surrogates. This work can be extended for the standardization of surrogates for other tissues involved in neurosurgical simulators.
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Affiliation(s)
- Ramandeep Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Rajdeep Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Chander Sen
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Umesh Gautam
- Department of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India
| | - Sitikantha Roy
- Department of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India
| | - Ashish Suri
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
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Tsujita T, Kameyama T, Konno A, Abiko S, Jiang X, Uchiyama M. Feedback control of an encountered-type haptic interface using MR fluid and servomotors for displaying cutting and restoring force of soft tissue. Adv Robot 2022. [DOI: 10.1080/01691864.2022.2143241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Teppei Tsujita
- Department of Mechanical Engineering, School of Systems Engineering, National Defense Academy of Japan, Yokosuka, Japan
| | | | - Atsushi Konno
- Division of System Science and Informatics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
| | - Satoko Abiko
- Department of Electrical Engineering, College of Engineering, Shibaura Institute of Technology, Tokyo, Japan
| | - Xin Jiang
- Department of Mechanical and Electrical Engineering, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, People's Republic of China
| | - Masaru Uchiyama
- Department of Mechanical Systems and Design, Graduate School of Engineering, Tohoku University, Sendai, Japan
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Pascual JSG, Khu KJO. Resources for Operative Neurosurgical Education Among Trainees in the Philippines. World Neurosurg 2022; 165:e292-e297. [PMID: 35710096 DOI: 10.1016/j.wneu.2022.06.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Operative neurosurgical skills education is a vital part of neurosurgical training, and these skills are usually obtained through operating room experience and supplemented by textbooks and other resources. We aimed to determine the resources used by trainees in the Philippines, both prior to and after the onset of the coronavirus disease 2019 pandemic. METHODS An online survey was sent to neurosurgical trainees in the Philippines from January to March 2021. Data on demographics, educational resources used, and weekly hours spent on each were collected, for both the pre- and post-coronavirus disease 2019 periods. RESULTS A total of 37 neurosurgical trainees (60% response rate) participated in the survey. Most respondents were female (70%), in their senior levels (58%), and undergoing training in a public institution (65%). The main resources for operative neurosurgical education were operative experience, online academic resources, and neurosurgical textbooks. After the onset of the pandemic, the overall time spent decreased to 61.2 hours/week from 67.7 hours/week, with a significant reduction in the hours spent on operative experience (27.3 vs. 21.3 hours/week, P < 0.0001) and a significant increase in the time spent on webinars (0 vs. 3.2 hours/week, P < 0.0001) and online resources as a whole (14.9 vs. 16.4 hours/week, P = 0.0003). CONCLUSIONS Operative experience, online academic resources, and neurosurgical textbooks were the main resources for operative neurosurgical education among trainees in the Philippines. After the onset of the pandemic, the hours spent on operative experience decreased and online academic resources increased significantly. New avenues of neurosurgical education, particularly webinars, also became available locally.
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Affiliation(s)
- Juan Silvestre G Pascual
- Division of Neurosurgery, Department of Neurosciences, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Kathleen Joy O Khu
- Division of Neurosurgery, Department of Neurosciences, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.
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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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11
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Haiser A, Aydin A, Kunduzi B, Ahmed K, Dasgupta P. A Systematic Review of Simulation-Based Training in Vascular Surgery. J Surg Res 2022; 279:409-419. [PMID: 35839575 PMCID: PMC9483723 DOI: 10.1016/j.jss.2022.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/20/2022] [Accepted: 05/22/2022] [Indexed: 11/25/2022]
Abstract
Introduction Recent advancements in surgical technology, reduced working hours, and training opportunities exacerbated by the COVID-19 pandemic have led to an increase in simulation-based training. Furthermore, a rise in endovascular procedures has led to a requirement for high-fidelity simulators that offer comprehensive feedback. This review aims to identify vascular surgery simulation models and assess their validity and levels of effectiveness (LoE) for each model in order to successfully implement them into current training curricula. Methods PubMed and EMBASE were searched on January 1, 2021, for full-text English studies on vascular surgery simulators. Eligible articles were given validity ratings based on Messick’s modern concept of validity alongside an LoE score according to McGaghie’s translational outcomes. Results Overall 76 eligible articles validated 34 vascular surgery simulators and training courses for open and endovascular procedures. High validity ratings were achieved across studies for: content (35), response processes (12), the internal structure (5), relations to other variables (57), and consequences (2). Only seven studies achieved an LoE greater than 3/5. Overall, ANGIO Mentor was the most highly validated and effective simulator and was the only simulator to achieve an LoE of 5/5. Conclusions Simulation-based training in vascular surgery is a continuously developing field with exciting future prospects, demonstrated by the vast number of models and training courses. To effectively integrate simulation models into current vascular surgery curricula and assessments, there is a need for studies to look at trainee skill retention over a longer period of time. A more detailed discussion on cost-effectiveness is also needed.
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Affiliation(s)
- Alexander Haiser
- Guy's, King's and St Thomas' School of Medical Education, King's College London, London, UK
| | - Abdullatif Aydin
- MRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK.
| | - Basir Kunduzi
- Department of Transplant Surgery, Guy's and St. Thomas' NHS Foundation Trust, London, London, UK
| | - Kamran Ahmed
- MRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK
| | - Prokar Dasgupta
- MRC Centre for Transplantation, Guy's Hospital, King's College London, London, UK
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12
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Chawla S, Devi S, Calvachi P, Gormley WB, Rueda-Esteban R. Evaluation of simulation models in neurosurgical training according to face, content, and construct validity: a systematic review. Acta Neurochir (Wien) 2022; 164:947-966. [PMID: 35122126 PMCID: PMC8815386 DOI: 10.1007/s00701-021-05003-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 08/30/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Neurosurgical training has been traditionally based on an apprenticeship model. However, restrictions on clinical exposure reduce trainees' operative experience. Simulation models may allow for a more efficient, feasible, and time-effective acquisition of skills. Our objectives were to use face, content, and construct validity to review the use of simulation models in neurosurgical education. METHODS PubMed, Web of Science, and Scopus were queried for eligible studies. After excluding duplicates, 1204 studies were screened. Eighteen studies were included in the final review. RESULTS Neurosurgical skills assessed included aneurysm clipping (n = 6), craniotomy and burr hole drilling (n = 2), tumour resection (n = 4), and vessel suturing (n = 3). All studies assessed face validity, 11 assessed content, and 6 assessed construct validity. Animal models (n = 5), synthetic models (n = 7), and VR models (n = 6) were assessed. In face validation, all studies rated visual realism favourably, but haptic realism was key limitation. The synthetic models ranked a high median tactile realism (4 out of 5) compared to other models. Assessment of content validity showed positive findings for anatomical and procedural education, but the models provided more benefit to the novice than the experienced group. The cadaver models were perceived to be the most anatomically realistic by study participants. Construct validity showed a statistically significant proficiency increase among the junior group compared to the senior group across all modalities. CONCLUSION Our review highlights evidence on the feasibility of implementing simulation models in neurosurgical training. Studies should include predictive validity to assess future skill on an individual on whom the same procedure will be administered. This study shows that future neurosurgical training systems call for surgical simulation and objectively validated models.
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Affiliation(s)
- Shreya Chawla
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Sharmila Devi
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Faculty of Life Sciences and Medicine, King's College London, London, UK
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paola Calvachi
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - William B Gormley
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Roberto Rueda-Esteban
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Universidad de los Andes School of Medicine, Bogotá, Colombia.
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13
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Herrera-Aliaga E, Estrada LD. Trends and Innovations of Simulation for Twenty First Century Medical Education. Front Public Health 2022; 10:619769. [PMID: 35309206 PMCID: PMC8929194 DOI: 10.3389/fpubh.2022.619769] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
In the last two decades there has been an enormous growth in the use of clinical simulation. This teaching-learning methodology is currently the main tool used in the training of healthcare professionals. Clinical simulation is in tune with new paradigms in education and is consistent with educational theories that support the use of experiential learning. It promotes the development of psychomotor skills and strengthens executive functions. This pedagogical approach can be applied in many healthcare topics and is particularly relevant in the context of restricted access to clinical settings. This is particularly relevant considering the current crisis caused by the COVID-19 pandemic, or when trying to reduce the frequency of accidents attributed to errors in clinical practice. This mini-review provides an overview of the current literature on healthcare simulation methods, as well as prospects for education and public health benefits. A literature search was conducted in order to find the most current trends and state of the art in medical education simulation. Presently, there are many areas of application for this methodology and new areas are constantly being explored. It is concluded that medical education simulation has a solid theoretical basis and wide application in the training of health professionals at present. In addition, it is consolidated as an unavoidable methodology both in undergraduate curricula and in continuing medical education. A promising scenario for medical education simulation is envisaged in the future, hand in hand with the development of technological advances.
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Affiliation(s)
| | - Lisbell D. Estrada
- Faculty of Health Sciences, Universidad Bernardo O'Higgins, Santiago, Chile
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14
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Bow H, Chen JW. Commentary: Three-Dimensionally Printed Surgical Simulation Tool for Brain Mapping Training and Preoperative Planning. Oper Neurosurg (Hagerstown) 2022; 22:e104-e105. [PMID: 35007222 DOI: 10.1227/ons.0000000000000063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- Hansen Bow
- Department of Neurological Surgery, University of California, Irvine, Orange, California, USA
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15
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Wilson CM, Mackenzie ES, Yudien MA, Charles AJ, Tissot MIJ, Churchill SJ, Brown NJ, Shulkin JM, Detchou DKE, Reddy VP, Chambless LB. Letter to the Editor. Overcoming obstacles and breaking barriers for women in neurosurgery. J Neurosurg 2021; 136:935-936. [PMID: 34653976 DOI: 10.3171/2021.5.jns211269] [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)
- Chidinma M Wilson
- 1Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Evalyn S Mackenzie
- 1Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Mikhal A Yudien
- 1Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Marianne I J Tissot
- 3Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Sydney J Churchill
- 3Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Jared M Shulkin
- 5Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Donald K E Detchou
- 6Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.,7Hospital of the University of Pennsylvania, Philadelphia, PA
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16
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Murai Y, Sato S, Tsukiyama A, Kubota A, Morita A. Investigation of Objectivity in Scoring and Evaluating Microvascular Anastomosis Simulation Training. Neurol Med Chir (Tokyo) 2021; 61:750-757. [PMID: 34629352 PMCID: PMC8666297 DOI: 10.2176/nmc.oa.2021-0191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The increase in minimally invasive surgery has led to a decrease in surgical experience. To date, there is only limited research examining whether skills are evaluated objectively and equally in simulation training, especially in microsurgery. The purpose of this study was to analyze the objectivity and equality of simulation evaluation results conducted in a contest format. A nationwide recruitment process was conducted to select study participants. Participants were recruited from a pool of qualified physicians with less than 10 years of experience. In this study, the simulation procedure consisted of incising a 1 mm thick blood vessel and suturing it with a 10-0 thread using a microscope. Initially, we planned to have the neurosurgical supervisors score the simulation procedure by direct observation. However, due to COVID-19, some study participants were unable to attend. Thus requiring some simulation procedures to be scored by video review. A total of 14 trainees participated in the study. The Cronbach’s alpha coefficient among the scorers was 0.99, indicating a strong correlation. There was no statistically significant difference between the scores from the video review and direct observation judgments. There was a statistically significant difference (p <0.001) between the scores for some criteria. For the eight criteria, individual scorers assigned scores in a consistent pattern. However, this pattern differed between scorers indicating that some scorers were more lenient than others. The results indicate that both video review and direct observation methods are highly objective techniques evaluate simulation procedures.
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Affiliation(s)
- Yasuo Murai
- Department of Neurological Surgery, Nippon Medical School Hospital
| | - Shun Sato
- Department of Neurological Surgery, Nippon Medical School Hospital
| | | | - Asami Kubota
- Department of Neurological Surgery, Nippon Medical School Hospital
| | - Akio Morita
- Department of Neurological Surgery, Nippon Medical School Hospital
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17
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Arora RK, Mittal RS, Rekhapalli R, Sadhasivam S, Bhragava P, Deopujari CE, Barua MP, Singla M, Singh B, Arora P. Simulation Training for Neurosurgical Residents: Need versus Reality in Indian Scenario. Asian J Neurosurg 2021; 16:230-235. [PMID: 34211902 PMCID: PMC8202368 DOI: 10.4103/ajns.ajns_463_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 11/02/2020] [Accepted: 12/17/2020] [Indexed: 11/07/2022] Open
Affiliation(s)
- Rajnish Kumar Arora
- Department of Neurosurgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Radhey Shyam Mittal
- Department of Neurosurgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Rajasekar Rekhapalli
- Department of Neurosurgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Saravanan Sadhasivam
- Department of Neurosurgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Pranshu Bhragava
- Department of Neurosurgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | | | - Mrinal Parkash Barua
- Department of Anatomy, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Mukesh Singla
- Department of Anatomy, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Brijendra Singh
- Department of Anatomy, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Poonam Arora
- Department of trauma and emergency, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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18
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Integration of Comprehensive Metrics into the PsT1 Neuroendoscopic Training System. World Neurosurg 2021; 151:182-189. [PMID: 34033950 DOI: 10.1016/j.wneu.2021.05.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/11/2021] [Accepted: 05/13/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Metric-based surgical training can be used to quantify the level and progression of neurosurgical performance to optimize and monitor training progress. Here we applied innovative metrics to a physical neurosurgery trainer to explore whether these metrics differentiate between different levels of experience across different tasks. METHODS Twenty-four participants (9 experts, 15 novices) performed 4 tasks (dissection, spatial adaptation, depth adaptation, and the A-B-A task) using the PsT1 training system. Four performance metrics (collision, precision, dissected area, and time) and 6 kinematic metrics (dispersion, path length, depth perception, velocity, acceleration, and motion smoothness) were collected. RESULTS For all tasks, the execution time (t) of the experts was significantly lower than that of novices (P < 0.05). The experts performed significantly better in all but 2 of the other metrics, dispersion and sectional area, corresponding to the A-B-A task and dissection task, respectively, for which they showed a nonsignificant trend towards better performance (P = 0.052 and P = 0.076, respectively). CONCLUSIONS It is possible to differentiate between the skill levels of novices and experts according to parameters derived from the PsT1 platform, paving the way for the quantitative assessment of training progress using this system. During the current coronavirus disease 2019 pandemic, neurosurgical simulators that gather surgical performance metrics offer a solution to the educational needs of residents.
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19
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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: 1.0] [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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20
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Scullen T, Mathkour M, Dumont A. Commentary: Virtual Reality Anterior Cervical Discectomy and Fusion Simulation on the Novel Sim-Ortho Platform: Validation Studies. Oper Neurosurg (Hagerstown) 2020; 20:E17-E19. [PMID: 32970133 DOI: 10.1093/ons/opaa285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 07/11/2020] [Indexed: 11/13/2022] Open
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21
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Raj S, Mishra R, Chouksey P, Shrivastava A, Moscote-Salazar LR, Agrawal A. Letter to the Editor: Home Program for Acquisition and Maintenance of Microsurgical Skills During the COVID-19 Outbreak. World Neurosurg 2020; 143:604. [PMID: 33167133 PMCID: PMC10016371 DOI: 10.1016/j.wneu.2020.07.230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 07/30/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Sumit Raj
- Department of Neurosurgery, All India Institute of Medical Sciences, Saket Nagar, Bhopal, Madhya Pradesh, India
| | - Rakesh Mishra
- Department of Neurosurgery, All India Institute of Medical Sciences, Saket Nagar, Bhopal, Madhya Pradesh, India
| | - Pradeep Chouksey
- Department of Neurosurgery, All India Institute of Medical Sciences, Saket Nagar, Bhopal, Madhya Pradesh, India
| | - Adesh Shrivastava
- Department of Neurosurgery, All India Institute of Medical Sciences, Saket Nagar, Bhopal, Madhya Pradesh, India.
| | - Luis Rafael Moscote-Salazar
- Department of Neurosurgery-Critical Care, Center for Biomedical Research, Faculty of Medicine, University of Cartagena, Cartagena, Colombia
| | - Amit Agrawal
- Department of Neurosurgery, All India Institute of Medical Sciences, Saket Nagar, Bhopal, Madhya Pradesh, India
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22
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Bowden SG, Siler DA, Radu S, Woll SCS, Rae AI, Cheaney B, Nugent JG, Stedelin B, Cetas JS, Dogan A, Han SJ. Changing Hands: A Rising Role of the Tumor Surgeon in Teaching Sylvian Fissure Dissection. World Neurosurg 2020; 146:e86-e90. [PMID: 33059079 DOI: 10.1016/j.wneu.2020.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/05/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The landscape of microneurosurgery has changed considerably over the past 2 decades, with a decline in indications for open surgery on cerebrovascular pathology and ever-increasing indications for open resection of brain tumors. This study investigated how these trends in case volume affected residents' training experiences in microsurgery and, specifically, Sylvian fissure dissection. METHODS Resident case logs were reviewed, identifying open cerebrovascular operations and craniotomies for tumor. Operations involving Sylvian fissure dissection were identified through operative reports. Changes in case number by resident were plotted over time, and linear regression was applied. RESULTS Among 23 chief residents, 3045 operations were identified, 1071 of which were for cerebrovascular pathology and 1974 for tumor. Open cerebrovascular experience decreased (P < 0.0001) while tumor volume remained unchanged (P = 0.221). The number of Sylvian fissure dissections per resident did not change over time overall (P = 0.583) or within cerebrovascular operations (P = 0.071). The number of Sylvian fissure dissections in tumor operations increased (P = 0.004). This effect was predominated by an increase in intraaxial tumors approached via Sylvian fissure dissection (P = 0.003). The proportion of Sylvian fissure dissections in tumor surgery increased from 15% in 2009 to 34% by 2019 (P = 0.003). CONCLUSIONS Residents are seeing an increasing proportion of their Sylvian fissure dissection experience during tumor operations. The distribution of this experience will continue to evolve as surgical indications change but suggests a growing role for tumor surgeons in resident training in microsurgery.
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Affiliation(s)
- Stephen G Bowden
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Dominic A Siler
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Stephanie Radu
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - S Cody Schoettler Woll
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Ali I Rae
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Barry Cheaney
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Joseph G Nugent
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Brittany Stedelin
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Justin S Cetas
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Aclan Dogan
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Seunggu J Han
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA.
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23
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Abecassis IJ, Sen RD, Ellenbogen RG, Sekhar LN. Developing microsurgical milestones for psychomotor skills in neurological surgery residents as an adjunct to operative training: the home microsurgery laboratory. J Neurosurg 2020; 135:194-204. [PMID: 32886917 DOI: 10.3171/2020.5.jns201590] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 05/21/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE A variety of factors contribute to an increasingly challenging environment for neurological surgery residents to develop psychomotor skills in microsurgical technique solely from operative training. While adjunct training modalities such as cadaver dissection and surgical simulation are embraced and practiced at our institution, there are no formal educational milestones defined to help residents develop, measure, and advance their microsurgical psychomotor skills in a stepwise fashion when outside the hospital environment. The objective of this report is to describe an efficient and convenient "home microsurgery lab" (HML) assembled and tested by the authors with the goal of supporting a personalized stepwise advancement of microsurgical psychomotor skills. METHODS The authors reviewed the literature on previously published simulation practice models and designed adjunct learning modules utilizing the HML. Five milestones were developed for achieving proficiency with each graduated exercise, referencing the Accreditation Council for Graduate Medical Education (ACGME) guidelines. The HML setup was then piloted with 2 neurosurgical trainees. RESULTS The total cost for assembling the HML was approximately $850. Techniques for which training was provided included microinstrument handling, tissue dissection, suturing, and microanastomoses. Five designated competency levels were developed, and training exercises were proposed for each competency level. CONCLUSIONS The HML offers a unique, entirely home-based, affordable adjunct to the operative neurosurgical education mandated by the ACGME operative case logs, while respecting resident hospital-based education hours. The HML provides surgical simulation with specific milestones, which may improve confidence and the microsurgical psychomotor skills required to perform microsurgery, regardless of case type.
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24
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Ospel JM, Kashani N, Mayank A, Liebig T, Kaesmacher J, Holtmannspötter M, Shankar J, Almekhlafi MA, Mitha AP, Wong JH, Goyal M. Current and future usefulness and potential of virtual simulation in improving outcomes and reducing complications in endovascular treatment of unruptured intracranial aneurysms. J Neurointerv Surg 2020; 13:251-254. [PMID: 32669397 DOI: 10.1136/neurintsurg-2020-016343] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/08/2020] [Accepted: 06/11/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND Simulation training has been used in the aviation industry and surgical specialties for many years, but integration into neurointerventional practice is lagging behind. OBJECTIVE To investigate how neurointerventionalists perceive the usefulness and limitations of simulation tools for the treatment of unruptured intracranial aneurysms (UIAs), and to identify simulation applications that were perceived to be most valuable for endovascular UIA treatment. METHODS A web-based international multidisciplinary survey was conducted among neurointerventionalists. Participants were asked for their perceptions on the usefulness of current simulation tools and the potential impact of future simulation tools in endovascular UIA treatment. They identified simulation applications that could add most value to endovascular UIA treatment and help to specifically reduce endovascular UIA treatment complications. RESULTS 233 neurointerventionalists from 38 countries completed the survey, most of whom (157/233 (67.4%)) had access to a simulator as a trainee, but only 15.3% used it frequently. Most participants (117/233 (50.2%)) considered currently available simulation tools relatively useful for endovascular UIA treatment, with greater value for trainees than for staff. Simulation of new devices (147/233 (63.1%)) and virtual practice runs in individual patient anatomy (119/233 (51.1%)) were considered most valuable for reducing endovascular UIA treatment complications. CONCLUSION Although neurointerventionalists perceived currently available simulation tools relatively useful, they did not use them regularly during their training. A priori testing of new devices and practice runs in individual patient anatomy in a virtual environment were thought to have the greatest potential for reducing endovascular UIA treatment complications.
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Affiliation(s)
- Johanna Maria Ospel
- Department of Radiology, Universitatsspital Basel, Basel, Switzerland.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Nima Kashani
- Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Arnuv Mayank
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Thomas Liebig
- Department of Neuroradiology, LMU Munich, Munich, Germany
| | | | | | - Jai Shankar
- Department of Radiology, University of Manitoba, Winnipeg, Nova Scotia, Canada
| | - Mohammed A Almekhlafi
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Alim P Mitha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.,Department of Neurosurgery, University of Calgary, Calgary, Alberta, Canada
| | - John H Wong
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.,Department of Neurosurgery, University of Calgary, Calgary, Alberta, Canada
| | - Mayank Goyal
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada .,Department of Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
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Letter to the Editor: How is COVID-19 Going to Affect Education in Neurosurgery? A Step Toward a New Era of Educational Training. World Neurosurg 2020; 140:481-483. [PMID: 32535051 PMCID: PMC7289099 DOI: 10.1016/j.wneu.2020.06.032] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 06/04/2020] [Indexed: 01/18/2023]
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Aydin A, Ahmed K, Van Hemelrijck M, Ahmed HU, Khan MS, Dasgupta P. Simulation in Urological Training and Education (SIMULATE): Protocol and curriculum development of the first multicentre international randomized controlled trial assessing the transferability of simulation-based surgical training. BJU Int 2020; 126:202-211. [PMID: 32189446 DOI: 10.1111/bju.15056] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
OBJECTIVES To report the study protocol for the first international multicentre randomized controlled trial investigating the effectiveness of simulation-based surgical training and the development process for an evidence-based training curriculum, to be delivered as an educational intervention. PARTICIPANTS AND METHODS This prospective, international, multicentre randomized controlled clinical and educational trial will recruit urology surgical trainees who must not have performed ≥10 of the selected index procedure, ureterorenoscopy (URS). Participants will be randomized to simulation-based training (SBT) or non-simulation-based training (NSBT), the latter of which is the current sole standard of training globally. The primary outcome is the number of procedures required to achieve proficiency, where proficiency is defined as achieving a learning curve plateau of 28 or more on an Objective Structured Assessment of Technical Skills (OSATS) assessment scale, for three consecutive operations, without any complications. All participants will be followed up either until they complete 25 procedures or for 18 months. Development of the URS SBT curriculum took place through a two-round Delphi process. RESULTS A total of 47 respondents, consisting of trainees (n = 24) with URS experience and urolithiasis specialists (n = 23), participated in round 1 of the Delphi process. Specialists (n = 10) finalized the content of the curriculum in round 2. The developed interventional curriculum consists of initial theoretic knowledge through didactic lectures followed by select tasks and cases on the URO-Mentor (Simbionix, Lod, Israel) VR Simulator, Uro-Scopic Trainer (Limbs & Things, Bristol, UK) and Scope Trainer (Mediskills, Manchester, UK) models for both semi-rigid and flexible URS. Respondents also selected relevant non-technical skills scenarios and cadaveric simulation tasks as additional components, with delivery subject to local availability. CONCLUSIONS SIMULATE is the first multicentre trial investigating the effect and transferability of supplementary SBT on operating performance and patient outcomes. An evidence-based training curriculum is presented, developed with expert and trainee input. Participants will be followed and the primary outcome, number of procedures required to proficiency, will be reported alongside key clinical secondary outcomes, (ISCRTN 12260261).
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Affiliation(s)
- Abdullatif Aydin
- MRC Centre for Transplantation, King's College London, London, UK
| | - Kamran Ahmed
- MRC Centre for Transplantation, King's College London, London, UK.,Department of Urology, King's College Hospital NHS Foundation Trust, London, UK
| | | | - Hashim U Ahmed
- Department of Surgery and Cancer, Imperial College London, UK.,Department of Urology, Imperial College Healthcare NHS Trust, London, UK
| | - Muhammad Shamim Khan
- MRC Centre for Transplantation, King's College London, London, UK.,Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Prokar Dasgupta
- MRC Centre for Transplantation, King's College London, London, UK.,Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, UK
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