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Wright JM, Ford JM, Qamar F, Lee M, Halsey JN, Smyth MD, Decker SJ, Rottgers SA. Design and Validation of a 3D Printed Cranio-Facial Simulator: A Novel Tool for Surgical Education. Cleft Palate Craniofac J 2024; 61:997-1006. [PMID: 36635983 DOI: 10.1177/10556656221151096] [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: 01/14/2023] Open
Abstract
OBJECTIVE To assess the ability of current 3D printing technology to generate a craniofacial bony and soft tissue anatomical model for use in simulating the performance of a fronto-orbital advancement (FOA) osteotomy and then to further assess the value of the model as an educational tool. DESIGN Anatomic models were designed with a process of serial anatomic segmentation/design, 3D printing, dissection, and device refinement. A validation study was conducted with 5 junior and 5 senior plastic surgery residents. The validation study incorporated a multiple-choice Knowledge Assessment test (KA), an Objective Structured Assessment of Technical skills (OSATs), a Global Rating Scale (GRS) and a Michigan Standard Simulation Experience Scale (MiSSES). We compared the scores of both the junior and senior residents and compared junior resident scores, before and after viewing a lecture/demonstration. RESULTS MiSSES showed high face validity with a score of 85.1/90, signifying high satisfaction with the simulator learning experience. Simulation and the lecture/demonstration improved the junior resident average KA score from 5.6/10 to 9.6/10 (P = .02), OSATs score from 32.4/66 to 64.4/66 (P < .001) and GRS score from 13.9/35 to 27.5/35 (P < .001). The senior residents OSATs score of 56.3/66 was higher than the pre-lecture juniors (32.4/66) (P < .001), but lower than the post-lecture juniors (64.4/66) (P < .001). CONCLUSION We have successfully fabricated a 3D printed craniofacial simulator capable of being used as an educational tool alongside traditional surgical training. Next steps would be improving soft tissue realism, inclusion of patient and disease specific anatomy and creation of models for other surgical specialties.
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Affiliation(s)
- Joshua M Wright
- Division of Plastic and Reconstructive Surgery, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA
| | - Jonathan M Ford
- Department of Radiology, USF Health Morsani College of Medicine, Tampa, FL, USA
| | - Fatima Qamar
- DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew Lee
- Center for Medical Simulation and Innovative Education, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA
| | - Jordan N Halsey
- Division of Plastic and Reconstructive Surgery, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA
| | - Matthew D Smyth
- Division of Neurosurgery, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA
| | - Summer J Decker
- Department of Radiology, USF Health Morsani College of Medicine, Tampa, FL, USA
| | - S Alex Rottgers
- Division of Plastic and Reconstructive Surgery, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA
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Zaragita N, Zhou S, Nugroho SW, Kaliaperumal C. Breaking boundaries in neurosurgery through art and technology: A historical perspective. BRAIN & SPINE 2024; 4:102836. [PMID: 38841149 PMCID: PMC11152706 DOI: 10.1016/j.bas.2024.102836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/11/2024] [Accepted: 05/17/2024] [Indexed: 06/07/2024]
Abstract
Introduction Since the past, art has been used as a tool to elaborate anatomical knowledge and guide surgeons to perform surgeries. Through the eras, art has taken role by conveying the knowledge to people in forms of illustrations and models, including neuroanatomy knowledge for neurosurgical purposes. With the advancement of technology, neurosurgical trainings and care evolve more than before. Research question How do art and technology play role in tbe education and development of neurosurgery? Materials and methods A literature search was conducted to find the role of art and technology in forms of illustrations, models, or others in neurosurgery. Results Illustration was known as one of the tools to understand it in the past. Now, in the modern era, neurosurgical learning, training, and teaching process have integrated both art and technology throughout the process. Not only as two-dimenional drawings, art and technology have gone as far as being developed into three-dimensional models and create specific models for surgical plannings and simulations. Artificial intelligence, virtual reality, and augmented reality have also been used to achieve accurate and efficient learning process and neurosurgical care. Discussion and conclusion Art does take significant role in the progression of neurosurgery. When combined with technology, art give greater utility and impact through the learning, teaching process, and delivery of care in neurosurgical world.
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Affiliation(s)
- Nadya Zaragita
- Department of Neurosurgery, Faculty of Medicine, Universitas Indonesia – Dr. Cipto Mangunkusumo General Hospital, Indonesia
| | - Stefano Zhou
- Faculty of Medicine, University of Edinburgh, UK
| | - Setyo Widi Nugroho
- Department of Neurosurgery, Faculty of Medicine, Universitas Indonesia – Dr. Cipto Mangunkusumo General Hospital, Indonesia
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González-López P, Kuptsov A, Gómez-Revuelta C, Fernández-Villa J, Abarca-Olivas J, Daniel RT, Meling TR, Nieto-Navarro J. The Integration of 3D Virtual Reality and 3D Printing Technology as Innovative Approaches to Preoperative Planning in Neuro-Oncology. J Pers Med 2024; 14:187. [PMID: 38392620 PMCID: PMC10890029 DOI: 10.3390/jpm14020187] [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: 12/16/2023] [Revised: 01/17/2024] [Accepted: 01/29/2024] [Indexed: 02/24/2024] Open
Abstract
Our study explores the integration of three-dimensional (3D) virtual reality (VR) and 3D printing in neurosurgical preoperative planning. Traditionally, surgeons relied on two-dimensional (2D) imaging for complex neuroanatomy analyses, requiring significant mental visualization. Fortunately, nowadays advanced technology enables the creation of detailed 3D models from patient scans, utilizing different software. Afterwards, these models can be experienced through VR systems, offering comprehensive preoperative rehearsal opportunities. Additionally, 3D models can be 3D printed for hands-on training, therefore enhancing surgical preparedness. This technological integration transforms the paradigm of neurosurgical planning, ensuring safer procedures.
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Affiliation(s)
- Pablo González-López
- Department of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain
| | - Artem Kuptsov
- Department of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain
| | | | | | - Javier Abarca-Olivas
- Department of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain
| | - Roy T Daniel
- Centre Hospitalier Universitaire Vaudois, 1005 Lausanne, Switzerland
| | - Torstein R Meling
- Department of Neurosurgery, Rigshospitalet, 92100 Copenhagen, Denmark
| | - Juan Nieto-Navarro
- Department of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain
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Almansouri A, Abou Hamdan N, Yilmaz R, Tee T, Pachchigar P, Eskandari M, Agu C, Giglio B, Balasubramaniam N, Bierbrier J, Collins DL, Gueziri HE, Del Maestro RF. Continuous Instrument Tracking in a Cerebral Corticectomy Ex Vivo Calf Brain Simulation Model: Face and Content Validation. Oper Neurosurg (Hagerstown) 2024:01787389-990000000-01017. [PMID: 38190098 DOI: 10.1227/ons.0000000000001044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/13/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Subpial corticectomy involving complete lesion resection while preserving pial membranes and avoiding injury to adjacent normal tissues is an essential bimanual task necessary for neurosurgical trainees to master. We sought to develop an ex vivo calf brain corticectomy simulation model with continuous assessment of surgical instrument movement during the simulation. A case series study of skilled participants was performed to assess face and content validity to gain insights into the utility of this training platform, along with determining if skilled and less skilled participants had statistical differences in validity assessment. METHODS An ex vivo calf brain simulation model was developed in which trainees performed a subpial corticectomy of three defined areas. A case series study assessed face and content validity of the model using 7-point Likert scale questionnaires. RESULTS Twelve skilled and 11 less skilled participants were included in this investigation. Overall median scores of 6.0 (range 4.0-6.0) for face validity and 6.0 (range 3.5-7.0) for content validity were determined on the 7-point Likert scale, with no statistical differences between skilled and less skilled groups identified. CONCLUSION A novel ex vivo calf brain simulator was developed to replicate the subpial resection procedure and demonstrated face and content validity.
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Affiliation(s)
- Abdulrahman Almansouri
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Nour Abou Hamdan
- 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
| | - Trisha Tee
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Puja Pachchigar
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | | | - Chinyelum Agu
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Bianca Giglio
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Neevya Balasubramaniam
- Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Joshua Bierbrier
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - D Louis Collins
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Houssem-Eddine Gueziri
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, 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
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
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5
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Pullay Silven M, Nicoletti GF, Iacopino DG. Letter to the Editor Regarding "Changes of Resection Goal after Using 3-Dimensional Printing Brain Tumor Model for Presurgical Planning". World Neurosurg 2023; 180:254-255. [PMID: 38115386 DOI: 10.1016/j.wneu.2023.09.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 12/21/2023]
Affiliation(s)
- Manikon Pullay Silven
- Department of Biomedicine Neurosciences and Advanced Diagnostics, Post Graduate Residency Program in Neurologic Surgery, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Sicily, Palermo, Italy.
| | | | - Domenico Gerardo Iacopino
- Department of Biomedicine Neurosciences and Advanced Diagnostics, Post Graduate Residency Program in Neurologic Surgery, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Sicily, Palermo, Italy
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Mian SY, Jayasangaran S, Qureshi A, Hughes MA. Exploring the Impact of Using Patient-Specific 3D Prints during Consent for Skull Base Neurosurgery. J Neurol Surg B Skull Base 2023; 84:463-469. [PMID: 37671293 PMCID: PMC10477011 DOI: 10.1055/a-1885-1111] [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: 03/02/2022] [Accepted: 06/20/2022] [Indexed: 10/17/2022] Open
Abstract
Objectives Informed consent is fundamental to good practice. We hypothesized that a personalized three-dimensional (3D)-printed model of skull base pathology would enhance informed consent and reduce patient anxiety. Design Digital images and communication in medicine (DICOM) files were 3D printed. After a standard pre-surgery consent clinic, patients completed part one of a two-part structured questionnaire. They then interacted with their personalized 3D printed model and completed part two. This explored their perceived involvement in decision-making, anxiety, concerns and also their understanding of lesion location and surgical risks. Descriptive statistics were used to report responses and text classification tools were used to analyze free text responses. Setting and Participants In total,14 patients undergoing elective skull base surgery (with pathologies including skull base meningioma, craniopharyngioma, pituitary adenoma, Rathke cleft cyst, and olfactory neuroblastoma) were prospectively identified at a single unit. Results After 3D model exposure, there was a net trend toward reduced patient-reported anxiety and enhanced patient-perceived involvement in treatment. Thirteen of 14 patients (93%) felt better about their operation and 13/14 patients (93%) thought all patients should have access to personalized 3D models. After exposure, there was a net trend toward improved patient-reported understanding of surgical risks, lesion location, and extent of feeling informed. Thirteen of 14 patients (93%) felt the model helped them understand the surgical anatomy better. Analysis of free text responses to the model found mixed sentiment: 47% positive, 35% neutral, and 18% negative. Conclusion In the context of skull base neurosurgery, personalized 3D-printed models of skull base pathology can inform the surgical consent process, impacting the levels of patient understanding and anxiety.
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Affiliation(s)
- Shan Y. Mian
- Department of Surgery and Cancer, Imperial College London, Faculty of Medicine, London, United Kingdom
| | | | - Aishah Qureshi
- School of Medicine, The University of Edinburgh, Edinburgh, United Kingdom
| | - Mark A. Hughes
- Edinburgh Translational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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Olatunji G, Osaghae OW, Aderinto N. Exploring the transformative role of 3D printing in advancing medical education in Africa: a review. Ann Med Surg (Lond) 2023; 85:4913-4919. [PMID: 37811062 PMCID: PMC10552964 DOI: 10.1097/ms9.0000000000001195] [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: 05/19/2023] [Accepted: 08/05/2023] [Indexed: 10/10/2023] Open
Abstract
With the increasing demand for quality healthcare and the scarcity of resources, medical education in Africa faces numerous challenges. Traditional teaching methods often need help to adequately prepare medical students for the complex and diverse healthcare scenarios they will encounter in practice. 3D printing technology holds significant promise in addressing these challenges by providing innovative solutions for medical education. This review examines the various applications of 3D printing in medical education, focusing on its potential to enhance anatomy education, surgical training and medical device development. It explores how 3D printing can offer realistic and customisable anatomical models, enabling students to understand human anatomy better and improve their surgical skills through realistic simulations. Furthermore, this paper discusses the potential of 3D printing in developing low-cost medical devices, prosthetics and surgical instruments, which can significantly benefit resource-limited settings in Africa. It explores the concept of distributed manufacturing, where 3D printing can decentralise the production of essential medical equipment, reducing reliance on external suppliers and improving access to healthcare. The review also highlights the challenges and limitations associated with implementing 3D printing in medical education in Africa, such as limited infrastructure, high costs and the need for specialised training. However, it presents successful initiatives and collaborations that have overcome these obstacles, demonstrating the feasibility and potential impact of integrating 3D printing into medical education in Africa.
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Affiliation(s)
| | | | - Nicholas Aderinto
- Department of Medicine and Surgery, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
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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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Pascoe AR, Raviskanthan S, Mortensen PW, Lee AG. Three-Dimensional Printed Brain Model of a Patient With Alexia Without Agraphia Syndrome. J Neuroophthalmol 2023; 43:e55-e57. [PMID: 35439229 DOI: 10.1097/wno.0000000000001600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Alexis R Pascoe
- Department of Ophthalmology (ARP, AGL), University of Texas Medical Branch, Galveston, Texas; Department of Ophthalmology (SR, PWM, AGL), Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas; Departments of Ophthalmology, Neurology, and Neurosurgery (AGL), Weill Cornell Medicine, New York, New York; University of Texas MD Anderson Cancer Center (AGL), Houston, Texas; Texas A and M College of Medicine (AGL), Bryan, Texas; and Department of Ophthalmology (AGL), The University of Iowa Hospitals and Clinics, Iowa City, Iowa
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Ulmeanu ME, Mateș IM, Doicin CV, Mitrică M, Chirteș VA, Ciobotaru G, Semenescu A. Bespoke Implants for Cranial Reconstructions: Preoperative to Postoperative Surgery Management System. Bioengineering (Basel) 2023; 10:bioengineering10050544. [PMID: 37237614 DOI: 10.3390/bioengineering10050544] [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: 03/30/2023] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Traumatic brain injury is a leading cause of death and disability worldwide, with nearly 90% of the deaths coming from low- and middle-income countries. Severe cases of brain injury often require a craniectomy, succeeded by cranioplasty surgery to restore the integrity of the skull for both cerebral protection and cosmetic purposes. The current paper proposes a study on developing and implementing an integrative surgery management system for cranial reconstructions using bespoke implants as an accessible and cost-effective solution. Bespoke cranial implants were designed for three patients and subsequent cranioplasties were performed. Overall dimensional accuracy was evaluated on all three axes and surface roughness was measured with a minimum value of 2.209 μm for Ra on the convex and concave surfaces of the 3D-printed prototype implants. Improvements in patient compliance and quality of life were reported in postoperative evaluations of all patients involved in the study. No complications were registered from both short-term and long-term monitoring. Material and processing costs were lower compared to a metal 3D-printed implants through the usage of readily available tools and materials, such as standardized and regulated bone cement materials, for the manufacturing of the final bespoke cranial implants. Intraoperative times were reduced through the pre-planning management stages, leading to a better implant fit and overall patient satisfaction.
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Affiliation(s)
- Mihaela-Elena Ulmeanu
- Faculty of Industrial Engineering and Robotics, University POLITEHNICA of Bucharest, 060042 Bucharest, Romania
| | - Ileana Mariana Mateș
- Central Military Emergency University Hospital "Dr. Carol Davila", 010825 Bucharest, Romania
| | - Cristian-Vasile Doicin
- Faculty of Industrial Engineering and Robotics, University POLITEHNICA of Bucharest, 060042 Bucharest, Romania
| | - Marian Mitrică
- Central Military Emergency University Hospital "Dr. Carol Davila", 010825 Bucharest, Romania
| | - Vasile Alin Chirteș
- Central Military Emergency University Hospital "Dr. Carol Davila", 010825 Bucharest, Romania
| | - Georgian Ciobotaru
- Central Military Emergency University Hospital "Dr. Carol Davila", 010825 Bucharest, Romania
| | - Augustin Semenescu
- Faculty of Materials Science and Engineering, University POLITEHNICA of Bucharest, 060042 Bucharest, Romania
- Academy of Romanian Scientists, 3 Ilfov St., 050044 Bucharest, Romania
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Chen D, Ganapathy A, Abraham N, Marquis KM, Bishop GL, Rybicki FJ, Hoegger MJ, Ballard DH. 3D printing exposure and perception in radiology residency: survey results of radiology chief residents. 3D Print Med 2023; 9:13. [PMID: 37103761 PMCID: PMC10133904 DOI: 10.1186/s41205-023-00173-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 03/24/2023] [Indexed: 04/28/2023] Open
Abstract
RATIONALE AND OBJECTIVES The purpose of this study is to summarize a survey of radiology chief residents focused on 3D printing in radiology. MATERIALS AND METHODS An online survey was distributed to chief residents in North American radiology residencies by subgroups of the Association of University Radiologists. The survey included a subset of questions focused on the clinical use of 3D printing and perceptions of the role of 3D printing and radiology. Respondents were asked to define the role of 3D printing at their institution and asked about the potential role of clinical 3D printing in radiology and radiology residencies. RESULTS 152 individual responses from 90 programs were provided, with a 46% overall program response rate (n = 90/194 radiology residencies). Most programs had 3D printing at their institution (60%; n = 54/90 programs). Among the institutions that perform 3D printing, 33% (n = 18/54) have structured opportunities for resident contribution. Most residents (60%; n = 91/152 respondents) feel they would benefit from 3D printing exposure or educational material. 56% of residents (n = 84/151) believed clinical 3D printing should be centered in radiology departments. 22% of residents (n = 34/151) believed it would increase communication and improve relationships between radiology and surgery colleagues. A minority (5%; 7/151) believe 3D printing is too costly, time-consuming, or outside a radiologist's scope of practice. CONCLUSIONS A majority of surveyed chief residents in accredited radiology residencies believe they would benefit from exposure to 3D printing in residency. 3D printing education and integration would be a valuable addition to current radiology residency program curricula.
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Affiliation(s)
- David Chen
- School of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Aravinda Ganapathy
- School of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Nihil Abraham
- Department of Internal Medicine, University of California-Riverside School of Medicine, Riverside, CA, USA
| | - Kaitlin M Marquis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Grace L Bishop
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mark J Hoegger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
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Bouchal SM, Meyer JH, Bendok BR. Commentary: Physiological Responses and Training Satisfaction During National Rollout of a Neurosurgical Intraoperative Catastrophe Simulator for Resident Training. Oper Neurosurg (Hagerstown) 2023; 24:e139-e141. [PMID: 36637327 DOI: 10.1227/ons.0000000000000548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 09/27/2022] [Indexed: 01/14/2023] Open
Affiliation(s)
| | - Jenna H Meyer
- Neurosurgery Simulation and Innovation Lab, Department of Neurologic Surgery, Mayo Clinic, Phoenix, Arizona, USA
| | - Bernard R Bendok
- Neurosurgery Simulation and Innovation Lab, Department of Neurologic Surgery, Mayo Clinic, Phoenix, Arizona, USA
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Encarnacion Ramirez M, Ramirez Pena I, Barrientos Castillo RE, Sufianov A, Goncharov E, Soriano Sanchez JA, Colome-Hidalgo M, Nurmukhametov R, Cerda Céspedes JR, Montemurro N. Development of a 3D Printed Brain Model with Vasculature for Neurosurgical Procedure Visualisation and Training. Biomedicines 2023; 11:biomedicines11020330. [PMID: 36830866 PMCID: PMC9953411 DOI: 10.3390/biomedicines11020330] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/18/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Simulation-based techniques using three-dimensional models are gaining popularity in neurosurgical training. Most pre-existing models are expensive, so we felt a need to develop a real-life model using 3D printing technology to train in endoscopic third ventriculostomy. METHODS The brain model was made using a 3D-printed resin mold from patient-specific MRI data. The mold was filled with silicone Ecoflex™ 00-10 and mixed with Silc Pig® pigment additives to replicate the color and consistency of brain tissue. The dura mater was made from quick-drying silicone paste admixed with gray dye. The blood vessels were made from a silicone 3D-printed mold based on magnetic resonance imaging. Liquid containing paprika oleoresin dye was used to simulate blood and was pumped through the vessels to simulate pulsatile motion. RESULTS Seven residents and eight senior neurosurgeons were recruited to test our model. The participants reported that the size and anatomy of the elements were very similar to real structures. The model was helpful for training neuroendoscopic 3D perception and navigation. CONCLUSIONS We developed an endoscopic third ventriculostomy training model using 3D printing technology that provides anatomical precision and a realistic simulation. We hope our model can provide an indispensable tool for young neurosurgeons to gain operative experience without exposing patients to risk.
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Affiliation(s)
| | | | | | - Albert Sufianov
- Department of Neurosurgery, First Moscow State Medical University (Sechenov University), 121359 Moscow, Russia
| | - Evgeniy Goncharov
- Traumatology and Orthopedics Center, Central Clinical Hospital of the Russian Academy of Sciences, 121359 Moscow, Russia
| | - Jose A. Soriano Sanchez
- Instituto Soriano de Cirugía de Columna Mínimamente Invasiva at ABC Hospital, Neurological Center, Santa Fe Campus, Mexico City 05100, Mexico
| | - Manuel Colome-Hidalgo
- Instituto de Investigación en Salud, Universidad Autònoma de Santo Domingo, Santo Domingo 10014, Dominican Republic
| | | | | | - Nicola Montemurro
- Department of Neurosurgery, Azienda Ospedaliera Universitaria Pisana (AOUP), University of Pisa, 56100 Pisa, Italy
- Correspondence:
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Thiong'o GM, Looi T, Rutka JT, Kulkarni AV, Drake JM. Design and validation of a hemispherectomy simulator for neurosurgical education. J Neurosurg 2023; 138:1-8. [PMID: 35901759 DOI: 10.3171/2022.5.jns22545] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/04/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Early adaptors of surgical simulation have documented a translation to improved intraoperative surgical performance. Similar progress would boost neurosurgical education, especially in highly nuanced epilepsy surgeries. This study introduces a hands-on cerebral hemispheric surgery simulator and evaluates its usefulness in teaching epilepsy surgeries. METHODS Initially, the anatomical realism of the simulator and its perceived effectiveness as a training tool were evaluated by two epilepsy neurosurgeons. The surgeons independently simulated hemispherotomy procedures and provided questionnaire feedback. Both surgeons agreed on the anatomical realism and effectiveness of this training tool. Next, construct validity was evaluated by modeling the proficiency (task-completion time) of 13 participants, who spanned the experience range from novice to expert. RESULTS Poisson regression yielded a significant whole-model fit (χ2 = 30.11, p < 0.0001). The association between proficiency when using the training tool and the combined effect of prior exposure to hemispherotomy surgery and career span was statistically significant (χ2 = 7.30, p = 0.007); in isolation, pre-simulation exposure to hemispherotomy surgery (χ2 = 6.71, p = 0.009) and career length (χ2 = 14.21, p < 0.001) were also significant. The mean (± SD) task-completion time was 25.59 ± 9.75 minutes. Plotting career length against task-completion time provided insights on learning curves of epilepsy surgery. Prediction formulae estimated that 10 real-life hemispherotomy cases would be needed to approach the proficiency seen in experts. CONCLUSIONS The cerebral hemispheric surgery simulator is a reasonable epilepsy surgery training tool in the quest to increase preoperative practice opportunities for neurosurgical education.
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Affiliation(s)
- Grace M Thiong'o
- 1The Hospital for Sick Children, Posluns Center for Image Guided Innovation and Therapeutic Intervention; and.,2Department of Surgery, University of Toronto, Ontario, Canada
| | - Thomas Looi
- 1The Hospital for Sick Children, Posluns Center for Image Guided Innovation and Therapeutic Intervention; and
| | - James T Rutka
- 2Department of Surgery, University of Toronto, Ontario, Canada
| | | | - James M Drake
- 1The Hospital for Sick Children, Posluns Center for Image Guided Innovation and Therapeutic Intervention; and.,2Department of Surgery, University of Toronto, Ontario, Canada
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15
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AlRawi A, Basha T, Elmeligy AO, Mousa NA, Mohammed G. The Role of Three-dimensional Printed Models in Women's Health. WOMEN'S HEALTH (LONDON, ENGLAND) 2023; 19:17455057231199040. [PMID: 37688305 PMCID: PMC10493061 DOI: 10.1177/17455057231199040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/26/2023] [Accepted: 08/11/2023] [Indexed: 09/10/2023]
Abstract
Three-dimensional printing is an innovative technology that has gained prominence in recent years due to its attractive features such as affordability, efficiency, and quick production. The technology is used to produce a three-dimensional model by depositing materials in layers using specific printers. In the medical field, it has been increasingly used in various specialties, including neurosurgery, cardiology, and orthopedics, most commonly for the pre-planning of complex surgeries. In addition, it has been applied in therapeutic treatments, patient education, and training wof medical professionals. In the field of obstetrics and gynecology, there is a limited number of studies in which three-dimensional printed models were applied. In this review, we aim to provide an overview of three-dimensional printing applications in the medical field, highlighting the few reported applications in obstetrics and gynecology. We also review all relevant studies and discuss the current challenges and limitations of adopting the technology in routine clinical practice. The technology has the potential to expand for wider applications related to women's health, including patient counseling, surgical training, and medical education.
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Affiliation(s)
- Afnan AlRawi
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Tasneem Basha
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Ahmed O Elmeligy
- Department of Electrical and Computer Engineering, Faculty of Engineering, McGill University, Montreal, QC, Canada
| | - Noha A Mousa
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Ghada Mohammed
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
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16
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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: 2] [Impact Index Per Article: 1.0] [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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Lee WJ, Kim YH, Hong SD, Rho TH, Kim YH, Dho YS, Hong CK, Kong DS. Development of 3-dimensional printed simulation surgical training models for endoscopic endonasal and transorbital surgery. Front Oncol 2022; 12:966051. [PMID: 35992880 PMCID: PMC9389537 DOI: 10.3389/fonc.2022.966051] [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: 06/10/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundEndoscopic skull base surgery (ESBS) is complex, requiring methodical and unremitting surgical training. Herein, we describe the development and evaluation of a novel three-dimensional (3D) printed simulation model for ESBS. We further validate the efficacy of this model as educational support in neurosurgical training.MethodsA patient-specific 3D printed simulation model using living human imaging data was established and evaluated in a task-based hands-on dissection program. Endoscopic endonasal and transorbital procedures were simulated on the model by neurosurgeons and otorhinolaryngology surgeons of varying experience. All procedures were recorded using a high-definition camera coupled with digital video recorder system. The participants were asked to complete a post-procedure questionnaire to validate the efficacy of the model.ResultsFourteen experts and 22 trainees participated in simulations, and the 32 participants completed the post-procedure survey. The anatomical realism was scored as 4.0/5.0. The participants rated the model as helpful in hand-eye coordination training (4.7/5.0) and improving surgical skills (4.6/5.0) for ESBS. All participants believed that the model was useful as educational support for trainees (4.7 [ ± 0.5]). However, the color (3.6/5.0) and soft tissue feedback parameters (2.8/5) scored low.ConclusionThis study shows that high-resolution 3D printed skull base models for ESBS can be generated with high anatomical accuracy and acceptable haptic feedback. The simulation program of ESBS using this model may be supplemental or provide an alternative training platform to cadaveric dissection.
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Affiliation(s)
- Won-Jae Lee
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Hwy Kim
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University School of Medicine, Seoul, South Korea
| | - Sang-Duk Hong
- Department of Otorhinolaryngology—Head & Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Tae-Hoon Rho
- Department of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, South Korea
| | - Young Hoon Kim
- Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yun-Sik Dho
- Department of Neurosurgery, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Chang-Ki Hong
- Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Doo-Sik Kong
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- *Correspondence: Doo-Sik Kong, /
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De La Peña NM, Zimmerman RS, Bendok BR. Commentary: Associating Surgeon Feedback With Material Physical Properties in the Development Process of a Resective Epilepsy Surgery Simulator. Oper Neurosurg (Hagerstown) 2022; 22:e293-e294. [DOI: 10.1227/ons.0000000000000230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/19/2022] Open
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19
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Thiong'o GM, Mayer H, Looi T, Kulkarni AV, Drake JM. Associating Surgeon Feedback With Material Physical Properties in the Development Process of a Resective Epilepsy Surgery Simulator. Oper Neurosurg (Hagerstown) 2022; 22:244-248. [PMID: 35147596 DOI: 10.1227/ons.0000000000000113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/03/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Hands-on neurosurgical simulations, specifically techniques involving white matter disconnection, are underdeveloped owing to the paucity of low indentation materials that can adequately mimic brain dissection. OBJECTIVE To describe the discovery phase of developing a resective epilepsy surgery simulator by quantifying the physical properties of 6 materials and correlating the scores with surgeon feedback data. METHODS Six materials, silicone, TissueMatrix, gel support, Synaptive hydrogel, dry SUP706, and moist SUP706 of equal dimension, were evaluated for hardness by measuring their resistance to indentation. Temporal lobe prototypes, 1 for each material, were dissected by 2 neurosurgeons and ordinal ranking assigned. Two null hypotheses were tested: one is that no differences in the indentation properties of the 6 materials analyzed would be elicited and the other is that there would be no correlation between indentation and surgeon feedback scores. Statistical comparison of the means of the different materials was performed using one-way analysis of variance. Surgeon feedback data and indentation score associations were analyzed using the Kendall rank correlation coefficient. RESULTS A statistically significant effect (P value <.0001; α 0.05) was measured. Gel support and Synaptive hydrogel had the lowest indentation scores and similar physical properties. Moist support material scored lower than dry support (P = .0067). A strong positive correlation (Kendall tau = 0.9333, P < .0001) was ascertained between the surgeon feedback ranking and indentation scores. CONCLUSION Reasonable material options for developing a resective epilepsy surgery are proposed and ranked in this article. Early involvement of surgeons is useful in the discovery phase of simulator invention.
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Affiliation(s)
- Grace M Thiong'o
- Division of Neurosurgery, Hospital for Sick Children, Toronto, Canada.,Department of Surgery, University of Toronto, Toronto, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Canada.,Center for Image-Guided Innovation and Therapeutic Intervention (CIGITI) Lab, Toronto, Canada
| | - Haley Mayer
- Center for Image-Guided Innovation and Therapeutic Intervention (CIGITI) Lab, Toronto, Canada
| | - Thomas Looi
- Center for Image-Guided Innovation and Therapeutic Intervention (CIGITI) Lab, Toronto, Canada
| | - Abhaya V Kulkarni
- Division of Neurosurgery, Hospital for Sick Children, Toronto, Canada.,Department of Surgery, University of Toronto, Toronto, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Canada.,Center for Image-Guided Innovation and Therapeutic Intervention (CIGITI) Lab, Toronto, Canada
| | - James M Drake
- Division of Neurosurgery, Hospital for Sick Children, Toronto, Canada.,Department of Surgery, University of Toronto, Toronto, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Canada.,Center for Image-Guided Innovation and Therapeutic Intervention (CIGITI) Lab, Toronto, Canada
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20
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Pöppe JP, Spendel M, Schwartz C, Winkler PA, Wittig J. The "springform" technique in cranioplasty: custom made 3D-printed templates for intraoperative modelling of polymethylmethacrylate cranial implants. Acta Neurochir (Wien) 2022; 164:679-688. [PMID: 34873659 PMCID: PMC8913485 DOI: 10.1007/s00701-021-05077-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/23/2021] [Indexed: 12/19/2022]
Abstract
Background Manual moulding of cranioplasty implants after craniectomy is feasible, but does not always yield satisfying cosmetic results. In contrast, 3D printing can provide precise templates for intraoperative moulding of polymethylmethacrylate (PMMA) implants in cranioplasty. Here, we present a novel and easily implementable 3D printing workflow to produce patient-specific, sterilisable templates for PMMA implant moulding in cranioplastic neurosurgery. Methods 3D printable templates of patients with large skull defects before and after craniectomy were designed virtually from cranial CT scans. Both templates — a mould to reconstruct the outer skull shape and a ring representing the craniectomy defect margins — were printed on a desktop 3D printer with biocompatible photopolymer resins and sterilised after curing. Implant moulding and implantation were then performed intraoperatively using the templates. Clinical and radiological data were retrospectively analysed. Results Sixteen PMMA implants were performed on 14 consecutive patients within a time span of 10 months. The median defect size was 83.4 cm2 (range 57.8–120.1 cm2). Median age was 51 (range 21–80) years, and median operating time was 82.5 (range 52–152) min. No intraoperative complications occurred; PMMA moulding was uneventful and all implants fitted well into craniectomy defects. Excellent skull reconstruction could be confirmed in all postoperative computed tomography (CT) scans. In three (21.4%) patients with distinct risk factors for postoperative haematoma, revision surgery for epidural haematoma had to be performed. No surgery-related mortality or new and permanent neurologic deficits were recorded. Conclusion Our novel 3D printing-aided moulding workflow for elective cranioplasty with patient-specific PMMA implants proved to be an easily implementable alternative to solely manual implant moulding. The “springform” principle, focusing on reconstruction of the precraniectomy skull shape and perfect closure of the craniectomy defect, was feasible and showed excellent cosmetic results. The proposed method combines the precision and cosmetic advantages of computer-aided design (CAD) implants with the cost-effectiveness of manually moulded PMMA implants. Supplementary Information The online version contains supplementary material available at 10.1007/s00701-021-05077-7.
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Affiliation(s)
- Johannes P Pöppe
- Department of Neurosurgery, University Hospital Salzburg, Paracelsus Medical University, Ignaz-Harrer-Str. 79, 5020, Salzburg, Austria.
| | - Mathias Spendel
- Department of Neurosurgery, University Hospital Salzburg, Paracelsus Medical University, Ignaz-Harrer-Str. 79, 5020, Salzburg, Austria
| | - Christoph Schwartz
- Department of Neurosurgery, University Hospital Salzburg, Paracelsus Medical University, Ignaz-Harrer-Str. 79, 5020, Salzburg, Austria
| | - Peter A Winkler
- Department of Neurosurgery, University Hospital Salzburg, Paracelsus Medical University, Ignaz-Harrer-Str. 79, 5020, Salzburg, Austria
| | - Jörn Wittig
- Department of Oral and Maxillofacial Surgery, University Hospital Salzburg, Paracelsus Medical University, Müllner Hauptstraße 48, 5020, Salzburg, Austria
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Zhang H, He Y, Chen Y, Liu J, Jin Q, Xu S, Fu X, Qiao J, Yu B, Niu F. Virtual Reality and Three-Dimensional Printed Models Improve the Morphological Understanding in Learning Mandibular Sagittal Split Ramus Osteotomy: A Randomized Controlled Study. Front Surg 2022; 8:705532. [PMID: 35004831 PMCID: PMC8727369 DOI: 10.3389/fsurg.2021.705532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 12/01/2021] [Indexed: 01/17/2023] Open
Abstract
Background: The mandibular sagittal split ramus osteotomy (SSRO) is a routine operation performed to correct mandibular deformity including mandibular retrusion, protrusion, deficiency, and asymmetry. The SSRO remains a challenging procedure for junior surgeons due to a lack of adequate morphological knowledge necessary for success in clinical practice. Virtual reality (VR) and three-dimensional printed (3DP) models have been widely applied in anatomy education. The present randomized, controlled study was performed to evaluate the effect of traditional educational instruments, VR models, and 3DP models on junior surgeons learning the morphological information required to perform SSRO. Methods: Eighty-one participants were randomly assigned to three learning groups: Control, VR, and 3DP. Objective and subjective tests were used to evaluate the learning effectiveness of each learning instrument. In the objective test, participants were asked to identify 10 anatomical landmarks on normal and deformed models, draw the osteotomy line, and determine the description of SSRO. In the subjective test, participants were asked to provide feedback regarding their subjective feelings about the learning instrument used in their group. Results: The objective test results showed that the VR and 3DP groups achieved better accuracy in drawing the osteotomy line (p = 0.027) and determining the description of SSRO (p = 0.023) than the Control group. However, there was no significant difference among the three groups regarding the identification of anatomical landmarks. The VR and 3DP groups gave satisfactory subjective feedback about the usefulness in learning, good presentation, and enjoyment. The Control and 3DP groups reported positive feelings about ease of use. Conclusion: The current findings suggest that VR and 3DP models were effective instruments that assisted in the morphological understanding of SSRO-related anatomical structures. Furthermore, 3DP models may be a promising supplementary instrument to bridge the gap between conventional learning and clinical practice.
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Affiliation(s)
- Henglei Zhang
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yu He
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ying Chen
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianfeng Liu
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qi Jin
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shixing Xu
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xi Fu
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jia Qiao
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bing Yu
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Feng Niu
- Department of Craniomaxillofacila Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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22
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de Souza MA, Bento RF, Lopes PT, de Pinto Rangel DM, Formighieri L. Three-dimensional printing in otolaryngology education: a systematic review. Eur Arch Otorhinolaryngol 2021; 279:1709-1719. [PMID: 34533591 DOI: 10.1007/s00405-021-07088-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 09/10/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE The progressive expansion of the technology that facilitates the development of three-dimensional (3D) printing within the field of otorhinolaryngology has opened up a new study front in medicine. The objective of this study is to systematically review scientific publications describing the development of 3D models having applications in otorhinolaryngology, with emphasis on subareas with a large number of publications, as well as the countries in which the publications are concentrated. METHODS In this literature review, specific criteria were used to search for publications on 3D models. The review considered articles published in English on the development of 3D models to teach otorhinolaryngology. The studies with presurgical purposes or without validation of the task by surgeons were excluded from this review. RESULTS This review considered 39 articles published in 10 countries between 2012 and 2021. The works published prior to 2012 were not considered as per the inclusion criteria for the research. Among the 39 simulators selected for review, otology models comprised a total of 15 publications (38%); they were followed by rhinology, with 12 (31%); laryngology, with 8 (21%); and head and neck surgery, with 4 publications (10%). CONCLUSION The use of 3D technology and printing is well established in the context of surgical education and simulation models. The importance of developing new technological tools to enhance 3D printing and the current limitations in obtaining appropriate animal and cadaver models signify the necessity of investing more in 3D models.
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Affiliation(s)
- Marcos Antonio de Souza
- Otolaryngology Department, University of São Paulo School of Medicine, Av Dr. Eneas de Carvalho Aguir 255 6º, Andar sala 6167, São Paulo, 05403-000, Brazil.
| | - Ricardo Ferreira Bento
- Otolaryngology Department, University of São Paulo School of Medicine, Av Dr. Eneas de Carvalho Aguir 255 6º, Andar sala 6167, São Paulo, 05403-000, Brazil
| | - Paula Tardim Lopes
- Otolaryngology Department, University of São Paulo School of Medicine, Av Dr. Eneas de Carvalho Aguir 255 6º, Andar sala 6167, São Paulo, 05403-000, Brazil
| | - Denis Melo de Pinto Rangel
- Otolaryngology Department, University of São Paulo School of Medicine, Av Dr. Eneas de Carvalho Aguir 255 6º, Andar sala 6167, São Paulo, 05403-000, Brazil
| | - Lucas Formighieri
- Radiology Department, Radiology at DAPI, Catholic Ladies League of Curitiba, Curitiba, Brazil
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