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Scullen T, Milburn J, Mathkour M, Larrota A, Aduloju O, Dumont A, Nerva J, Amenta P, Wang A. Training Cerebrovascular and Neuroendovascular Surgery Residents: A Systematic Literature Review and Recommendations. Ochsner J 2024; 24:36-46. [PMID: 38510222 PMCID: PMC10949058 DOI: 10.31486/toj.23.0118] [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] [Indexed: 03/22/2024] Open
Abstract
Background: The rapid evolution of neuroendovascular intervention has resulted in the inclusion of endovascular techniques as a core competency in neurosurgical residency training. Methods: We conducted a literature review of studies involving the training of neurosurgical residents in cerebrovascular and endovascular neurosurgery. We reviewed the evolution of cerebrovascular neurosurgery and the effects of these changes on residency, and we propose interventions to supplement contemporary training. Results: A total of 48 studies were included for full review. Studies evaluated trainee education and competency (29.2%, 14/48), neuroendovascular training models (20.8%, 10/48), and open cerebrovascular training models (52.1%, 25/48), with some overlap. We used a qualitative analysis of reviewed reports to generate a series of suggested training supplements to optimize cerebrovascular education. Conclusion: Cerebrovascular neurosurgery is at a crossroads where trainees must develop disparate skill sets with inverse trends in volume. Continued longitudinal exposure to both endovascular and open cerebrovascular surgical fields should be mandated in general resident education, and blended learning tactics using adjunct simulation systems and models should be incorporated with didactics to both optimize learning and alleviate restraints placed by decreased volume and autonomy.
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Affiliation(s)
- Tyler Scullen
- Department of Neurological Surgery, Tulane Medical Center, New Orleans, LA
| | - James Milburn
- Department of Radiology, Ochsner Clinic Foundation, New Orleans, LA
- The University of Queensland Medical School, Ochsner Clinical School, New Orleans, LA
| | - Mansour Mathkour
- Department of Neurological Surgery, Tulane Medical Center, New Orleans, LA
| | - Angela Larrota
- International School of Louisiana, West Bank Campus, New Orleans, LA
| | | | - Aaron Dumont
- Department of Neurological Surgery, Tulane Medical Center, New Orleans, LA
| | - John Nerva
- Department of Neurological Surgery, Medical College of Wisconsin, Milwaukee, WI
| | - Peter Amenta
- Department of Neurological Surgery, University of Massachusetts, Worchester, MA
| | - Arthur Wang
- Department of Neurological Surgery, Tulane Medical Center, New Orleans, LA
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Ali A, Morris JM, Decker SJ, Huang YH, Wake N, Rybicki FJ, Ballard DH. Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: neurosurgical and otolaryngologic conditions. 3D Print Med 2023; 9:33. [PMID: 38008795 PMCID: PMC10680204 DOI: 10.1186/s41205-023-00192-w] [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: 09/11/2023] [Accepted: 10/03/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND Medical three dimensional (3D) printing is performed for neurosurgical and otolaryngologic conditions, but without evidence-based guidance on clinical appropriateness. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (SIG) provides appropriateness recommendations for neurologic 3D printing conditions. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with neurologic and otolaryngologic conditions. Each study was vetted by the authors and strength of evidence was assessed according to published guidelines. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for diseases of the calvaria and skull base, brain tumors and cerebrovascular disease. Recommendations are provided in accordance with strength of evidence of publications corresponding to each neurologic condition combined with expert opinion from members of the 3D printing SIG. CONCLUSIONS This consensus guidance document, created by the members of the 3D printing SIG, provides a reference for clinical standards of 3D printing for neurologic conditions.
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Affiliation(s)
- Arafat Ali
- Department of Radiology, Henry Ford Health, Detroit, MI, USA
| | | | - Summer J Decker
- Division of Imaging Research and Applied Anatomy, Department of Radiology, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Yu-Hui Huang
- Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Nicole Wake
- Department of Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research, Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
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Joseph FJ, Vanluchene HER, Bervini D. Simulation training approaches in intracranial aneurysm surgery-a systematic review. Neurosurg Rev 2023; 46:101. [PMID: 37131015 PMCID: PMC10154262 DOI: 10.1007/s10143-023-01995-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/20/2023] [Accepted: 04/07/2023] [Indexed: 05/04/2023]
Abstract
BACKGROUND With the increasing complexity and decreasing exposure to intracranial aneurysm surgery, training and maintenance of the surgical skills have become challenging. This review elaborated on simulation training for intracranial aneurysm clipping. METHODS A systematic review was performed according to the PRISMA guidelines to identify studies on aneurysm clipping training using models and simulators. The primary outcome was the identification of the predominant modes of the simulation process, models, and training methods associated with a microsurgical learning curve. The secondary outcomes included assessments of the validation of such simulators and the learning capability from the use of such simulators. RESULTS Of the 2068 articles screened, 26 studies met the inclusion criteria. The chosen reports used a wide range of simulation approaches including ex vivo methods (n = 6); virtual reality (VR) platforms (n = 11); and static (n = 6) and dynamic (n = 3) 3D-printed aneurysm models (n = 6). The ex vivo training methods have limited availability, VR simulators lack haptics and tactility, while 3D static models lack important microanatomical components and the simulation of blood flow. 3D dynamic models including pulsatile flow are reusable and cost-effective but miss microanatomical components. CONCLUSIONS The existing training methods are heterogenous and do not realistically simulate the complete microsurgical workflow. The current simulations lack certain anatomical features and crucial surgical steps. Future research should focus on developing and validating a reusable, cost-effective training platform. No systematic validation method exists for the different training models, so there is a need to build homogenous assessment tools and validate the role of simulation in education and patient safety.
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Affiliation(s)
- Fredrick J Joseph
- Image Guided Therapy, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
| | - Hanne E R Vanluchene
- Image Guided Therapy, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - David Bervini
- Department of Neurosurgery, Bern University Hospital and University of Bern, Bern, Switzerland
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Hanalioglu S, Romo NG, Mignucci-Jiménez G, Tunc O, Gurses ME, Abramov I, Xu Y, Sahin B, Isikay I, Tatar I, Berker M, Lawton MT, Preul MC. Development and Validation of a Novel Methodological Pipeline to Integrate Neuroimaging and Photogrammetry for Immersive 3D Cadaveric Neurosurgical Simulation. Front Surg 2022; 9:878378. [PMID: 35651686 PMCID: PMC9149243 DOI: 10.3389/fsurg.2022.878378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Visualizing and comprehending 3-dimensional (3D) neuroanatomy is challenging. Cadaver dissection is limited by low availability, high cost, and the need for specialized facilities. New technologies, including 3D rendering of neuroimaging, 3D pictures, and 3D videos, are filling this gap and facilitating learning, but they also have limitations. This proof-of-concept study explored the feasibility of combining the spatial accuracy of 3D reconstructed neuroimaging data with realistic texture and fine anatomical details from 3D photogrammetry to create high-fidelity cadaveric neurosurgical simulations. Methods Four fixed and injected cadaver heads underwent neuroimaging. To create 3D virtual models, surfaces were rendered using magnetic resonance imaging (MRI) and computed tomography (CT) scans, and segmented anatomical structures were created. A stepwise pterional craniotomy procedure was performed with synchronous neuronavigation and photogrammetry data collection. All points acquired in 3D navigational space were imported and registered in a 3D virtual model space. A novel machine learning-assisted monocular-depth estimation tool was used to create 3D reconstructions of 2-dimensional (2D) photographs. Depth maps were converted into 3D mesh geometry, which was merged with the 3D virtual model’s brain surface anatomy to test its accuracy. Quantitative measurements were used to validate the spatial accuracy of 3D reconstructions of different techniques. Results Successful multilayered 3D virtual models were created using volumetric neuroimaging data. The monocular-depth estimation technique created qualitatively accurate 3D representations of photographs. When 2 models were merged, 63% of surface maps were perfectly matched (mean [SD] deviation 0.7 ± 1.9 mm; range −7 to 7 mm). Maximal distortions were observed at the epicenter and toward the edges of the imaged surfaces. Virtual 3D models provided accurate virtual measurements (margin of error <1.5 mm) as validated by cross-measurements performed in a real-world setting. Conclusion The novel technique of co-registering neuroimaging and photogrammetry-based 3D models can (1) substantially supplement anatomical knowledge by adding detail and texture to 3D virtual models, (2) meaningfully improve the spatial accuracy of 3D photogrammetry, (3) allow for accurate quantitative measurements without the need for actual dissection, (4) digitalize the complete surface anatomy of a cadaver, and (5) be used in realistic surgical simulations to improve neurosurgical education.
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Affiliation(s)
- Sahin Hanalioglu
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
- Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Nicolas Gonzalez Romo
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
| | - Giancarlo Mignucci-Jiménez
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
| | - Osman Tunc
- BTech Innovation, METU Technopark, Ankara, Turkey
| | - Muhammet Enes Gurses
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
- Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Irakliy Abramov
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
| | - Yuan Xu
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
| | - Balkan Sahin
- Department of Neurosurgery, University of Health Sciences, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey
| | - Ilkay Isikay
- Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Ilkan Tatar
- Department of Anatomy, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Mustafa Berker
- Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Michael T. Lawton
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
| | - Mark C. Preul
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, Arizona
- Correspondence: Mark C. Preul
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Schwandt E, Kockro R, Kramer A, Glaser M, Ringel F. Presurgical selection of the ideal aneurysm clip by the use of a three-dimensional planning system. Neurosurg Rev 2022; 45:2887-2894. [PMID: 35546216 PMCID: PMC9349090 DOI: 10.1007/s10143-022-01794-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/19/2022] [Accepted: 04/19/2022] [Indexed: 11/25/2022]
Abstract
Aneurysm occlusion rate after clipping is higher than after endovascular treatment. However, a certain percentage of incompletely clipped aneurysms remains. Presurgical selection of the proper aneurysm clips could potentially reduce the rate of incomplete clippings caused by inadequate clip geometry. The aim of the present study was to assess whether preoperative 3D image-based simulation allows for preoperative selection of a proper aneurysm clip for complete occlusion in individual cases. Patients harboring ruptured or unruptured cerebral aneurysms prior to surgical clipping were analyzed. CT angiography images were transferred to a 3D surgical-planning station (Dextroscope®) with imported models of 58 aneurysm clips. Intracranial vessels and aneurysms were segmented and the virtual aneurysm clips were placed at the aneurysm neck. Operating surgeons had information about the selected aneurysm clip, and patients underwent clipping. Intraoperative clip selection was documented and aneurysm occlusion rate was assessed by postoperative digital subtraction angiography. Nineteen patients were available for final analysis. In all patients, the most proximal clip at the aneurysm neck was the preselected clip. All aneurysms except one were fully occluded, as assessed by catheter angiography. One aneurysm had a small neck remnant that did not require secondary surgery and was occluded 15 months after surgery. 3D image-based preselection of a proper aneurysm clip can be translated to the operating room and avoids intraoperative clip selection. The associated occlusion rate of aneurysms is high.
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Affiliation(s)
- Eike Schwandt
- Department of Neurosurgery, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Ralf Kockro
- Department of Neurosurgery, Klinik Hirslanden, Zurich, Switzerland
| | - Andreas Kramer
- Department of Neurosurgery, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Martin Glaser
- Department of Neurosurgery, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Florian Ringel
- Department of Neurosurgery, University Medical Center Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
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Properties and Characteristics of Three-Dimensional Printed Head Models Used in Simulation of Neurosurgical Procedures: A Scoping Review. World Neurosurg 2021; 156:133-146.e6. [PMID: 34571242 DOI: 10.1016/j.wneu.2021.09.079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Intracranial surgery can be complex and high risk. Safety, ethical and financial factors make training in the area challenging. Head model 3-dimensional (3D) printing is a realistic training alternative to patient and traditional means of cadaver and animal model simulation. OBJECTIVE To describe important factors relating to the 3D printing of human head models and how such models perform as simulators. METHODS Searches were performed in PubMed, the Cochrane Library, Scopus, and Web of Science. Articles were screened independently by 3 reviewers using Covidence software. Data items were collected under 5 categories: study information; printers and processes; head model specifics; simulation and evaluations; and costs and production times. RESULTS Forty articles published over the last 10 years were included in the review. A range of printers, printing methods, and substrates were used to create head models and tissue types. Complexity of the models ranged from sections of single tissue type (e.g., bone) to high-fidelity integration of multiple tissue types. Some models incorporated disease (e.g., tumors and aneurysms) and artificial physiology (e.g., pulsatile circulation). Aneurysm clipping, bone drilling, craniotomy, endonasal surgery, and tumor resection were the most commonly practiced procedures. Evaluations completed by those using the models were generally favorable. CONCLUSIONS The findings of this review indicate that those who practice surgery and surgical techniques on 3D-printed head models deem them to be valuable assets in cranial surgery training. Understanding how surgical simulation on such models affects surgical performance and patient outcomes, and considering cost-effectiveness, are important future research endeavors.
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McGuire LS, Fuentes A, Alaraj A. Three-Dimensional Modeling in Training, Simulation, and Surgical Planning in Open Vascular and Endovascular Neurosurgery: A Systematic Review of the Literature. World Neurosurg 2021; 154:53-63. [PMID: 34293525 DOI: 10.1016/j.wneu.2021.07.057] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND The expanding use of three-dimensional (3D) printing in open vascular and endovascular neurosurgery presents a promising new tool in resident learning as well as operative planning. Recent studies have investigated the accuracy, efficacy, and practicality of 3D-printed models of patient-specific disease. OBJECTIVE To review the literature exploring 3D modeling in neurovascular and endovascular surgery for training, simulation, and surgical preparation. METHODS A systematic search of the PubMed database was conducted using keywords relating to 3D printing and neurovascular or endovascular surgery. Articles were manually screened to include those that focused on resident training, surgical simulation, or preoperative planning. Information on fabrication method, materials, cost, and validation measures was collected. RESULTS A total of 27 articles were identified that met inclusion criteria. Twenty-one studies used 3D printing to produce aneurysm models, 5 produced arteriovenous malformation models, and 1 produced aneurysm and arteriovenous malformation models. Stereolithography was the most common fabrication method used, with acrylonitrile butadiene styrene and VeroClearTangoPlus (Stratasys) being the most frequently used materials. The mean manufacturing cost per model was U.S. $624.83. Outcomes included model measurement accuracy, concordance of intraoperative devices with those selected preoperatively, and qualitative feedback. CONCLUSIONS Models generated by 3D printing are anatomically accurate and aid in resident learning as well as operative planning in open vascular and endovascular neurosurgery. As advancements in printing methods are made and manufacturing costs decrease, this tool may supplement training on a wider scale in a field in which direct exposure to cases is limited.
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Affiliation(s)
- Laura Stone McGuire
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA.
| | - Angelica Fuentes
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Ali Alaraj
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA
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Pugalendhi A, Ranganathan R. A review of additive manufacturing applications in ophthalmology. Proc Inst Mech Eng H 2021; 235:1146-1162. [PMID: 34176362 DOI: 10.1177/09544119211028069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Additive Manufacturing (AM) capabilities in terms of product customization, manufacture of complex shape, minimal time, and low volume production those are very well suited for medical implants and biological models. AM technology permits the fabrication of physical object based on the 3D CAD model through layer by layer manufacturing method. AM use Magnetic Resonance Image (MRI), Computed Tomography (CT), and 3D scanning images and these data are converted into surface tessellation language (STL) file for fabrication. The applications of AM in ophthalmology includes diagnosis and treatment planning, customized prosthesis, implants, surgical practice/simulation, pre-operative surgical planning, fabrication of assistive tools, surgical tools, and instruments. In this article, development of AM technology in ophthalmology and its potential applications is reviewed. The aim of this study is nurturing an awareness of the engineers and ophthalmologists to enhance the ophthalmic devices and instruments. Here some of the 3D printed case examples of functional prototype and concept prototypes are carried out to understand the capabilities of this technology. This research paper explores the possibility of AM technology that can be successfully executed in the ophthalmology field for developing innovative products. This novel technique is used toward improving the quality of treatment and surgical skills by customization and pre-operative treatment planning which are more promising factors.
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Affiliation(s)
- Arivazhagan Pugalendhi
- Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India
| | - Rajesh Ranganathan
- Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India
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Mass-Ramírez S, Vergara-Burgos H, Sierra-Ochoa C, Lozada-Martinez ID, Moscote-Salazar LR, Janjua T, Rahman MM, Rahman S, Picón-Jaimes YA. Utility of medical simulation in neurovascular critical care education. JOURNAL OF NEUROCRITICAL CARE 2021. [DOI: 10.18700/jnc.210010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Chen PC, Lin JC, Chiang CH, Chen YC, Chen JE, Liu WH. Engineering Additive Manufacturing and Molding Techniques to Create Lifelike Willis' Circle Simulators with Aneurysms for Training Neurosurgeons. Polymers (Basel) 2020; 12:polym12122901. [PMID: 33287397 PMCID: PMC7761873 DOI: 10.3390/polym12122901] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 11/26/2022] Open
Abstract
Neurosurgeons require considerable expertise and practical experience in dealing with the critical situations commonly encountered during difficult surgeries; however, neurosurgical trainees seldom have the opportunity to develop these skills in the operating room. Therefore, physical simulators are used to give trainees the experience they require. In this study, we created a physical simulator to assist in training neurosurgeons in aneurysm clipping and the handling of emergency situations during surgery. Our combination of additive manufacturing with molding technology, elastic material casting, and ultrasonication-assisted dissolution made it possible to create a simulator that realistically mimics the brain stem, soft brain lobes, cerebral arteries, and a hollow transparent Circle of Willis, in which the thickness of vascular walls can be controlled and aneurysms can be fabricated in locations where they are likely to appear. The proposed fabrication process also made it possible to limit the error in overall vascular wall thickness to just 2–5%, while achieving a Young’s Modulus closely matching the characteristics of blood vessels (~5%). One neurosurgical trainee reported that the physical simulator helped to elucidate the overall process of aneurysm clipping and provided a realistic impression of the tactile feelings involved in this delicate operation. The trainee also experienced shock and dismay at the appearance of leakage, which could not immediately be arrested using the clip. Overall, these results demonstrate the efficacy of the proposed physical simulator in preparing trainees for the rigors involved in performing highly delicate neurological surgical operations.
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Affiliation(s)
- Pin-Chuan Chen
- Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan; (P.-C.C.); (C.-H.C.); (Y.-C.C.)
- High Speed 3D Printing Research Center, National Taiwan University of Science and Technology, Taipei 106, Taiwan
| | - Jang-Chun Lin
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei 110, Taiwan;
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Chung-Hsuan Chiang
- Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan; (P.-C.C.); (C.-H.C.); (Y.-C.C.)
| | - Yi-Chin Chen
- Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan; (P.-C.C.); (C.-H.C.); (Y.-C.C.)
| | - Jia-En Chen
- Medical 3D Printing Center, Tri-Service General Hospital and National Defense Medical Center, Taipei 114, Taiwan;
- Department of Biomedical Engineering, Tri-Service General Hospital and National Defense Medical Center, Taipei 114, Taiwan
| | - Wei-Hsiu Liu
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei 114, Taiwan
- Department of Surgery, School of Medicine, National Defense Medical Center, Taipei 114, Taiwan
- Correspondence: ; Tel.: +886-2-87927177; Fax: +886-2-87927178
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Joseph FJ, Weber S, Raabe A, Bervini D. Neurosurgical simulator for training aneurysm microsurgery-a user suitability study involving neurosurgeons and residents. Acta Neurochir (Wien) 2020; 162:2313-2321. [PMID: 32780255 PMCID: PMC7496061 DOI: 10.1007/s00701-020-04522-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 07/30/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Due to its complexity and to existing treatment alternatives, exposure to intracranial aneurysm microsurgery at the time of neurosurgical residency is limited. The current state of the art includes training methods like assisting in surgeries, operating under supervision, and video training. These approaches are labor-intensive and difficult to fit into a timetable limited by the new work regulations. Existing virtual reality (VR)-based training modules lack patient-specific exercises and haptic properties and are thus inferior to hands-on training sessions and exposure to real surgical procedures. MATERIALS AND METHODS We developed a physical simulator able to reproduce the experience of clipping an intracranial aneurysm based on a patient-specific 3D-printed model of the skull, brain, and arteries. The simulator is made of materials that not only imitate tissue properties including arterial wall patency, thickness, and elasticity but also able to recreate a pulsatile blood flow. A sample group of 25 neurosurgeons and residents (n = 16: early residency with less than 4 years of neurosurgical exposure; n = 9: late residency and board-certified neurosurgeons, 4-15 years of neurosurgical exposure) took part to the study. Participants evaluated the simulator and were asked to answer questions about surgical simulation anatomy, realism, haptics, tactility, and general usage, scored on a 5-point Likert scale. In order to evaluate the feasibility of a future validation study on the role of the simulator in neurosurgical postgraduate training, an expert neurosurgeon assessed participants' clipping performance and a comparison between groups was done. RESULTS The proposed simulator is reliable and potentially useful for training neurosurgical residents and board-certified neurosurgeons. A large majority of participants (84%) found it a better alternative than conventional neurosurgical training methods. CONCLUSION The integration of a new surgical simulator including blood circulation and pulsatility should be considered as part of the future armamentarium of postgraduate education aimed to ensure high training standards for current and future generations of neurosurgeons involved in intracranial aneurysm surgery.
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Affiliation(s)
| | - Stefan Weber
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Andreas Raabe
- Department of Neurosurgery, Bern University Hospital and University of Bern, 3010, Bern, Switzerland
| | - David Bervini
- Department of Neurosurgery, Bern University Hospital and University of Bern, 3010, Bern, Switzerland.
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Liu T, Tai Y, Zhao C, Wei L, Zhang J, Pan J, Shi J. Augmented reality in neurosurgical navigation: a survey. Int J Med Robot 2020; 16:e2160. [PMID: 32890440 DOI: 10.1002/rcs.2160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 08/19/2020] [Accepted: 08/29/2020] [Indexed: 11/12/2022]
Abstract
BACKGROUND Neurosurgery has exceptionally high requirements for minimally invasive and safety. This survey attempts to analyze the practical application of AR in neurosurgical navigation. Also, this survey describes future trends in augmented reality neurosurgical navigation systems. METHODS In this survey, we searched related keywords "augmented reality", "virtual reality", "neurosurgery", "surgical simulation", "brain tumor surgery", "neurovascular surgery", "temporal bone surgery", and "spinal surgery" through Google Scholar, World Neurosurgery, PubMed and Science Direct. We collected 85 articles published over the past five years in areas related to this survey. RESULTS Detailed study has been conducted on the application of AR in neurosurgery and found that AR is constantly improving the overall efficiency of doctor training and treatment, which can help neurosurgeons learn and practice surgical procedures with zero risks. CONCLUSIONS Neurosurgical navigation is essential in neurosurgery. Despite certain technical limitations, it is still a necessary tool for the pursuit of maximum security and minimal intrusiveness. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Tao Liu
- Yunnan Key Lab of Opto-electronic Information Technology, Yunnan Normal University, Kunming, China
| | - Yonghang Tai
- Yunnan Key Lab of Opto-electronic Information Technology, Yunnan Normal University, Kunming, China
| | - Chengming Zhao
- Yunnan Key Lab of Opto-electronic Information Technology, Yunnan Normal University, Kunming, China
| | - Lei Wei
- Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia
| | - Jun Zhang
- Yunnan Key Lab of Opto-electronic Information Technology, Yunnan Normal University, Kunming, China
| | - Junjun Pan
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China
| | - Junsheng Shi
- Yunnan Key Lab of Opto-electronic Information Technology, Yunnan Normal University, Kunming, China
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Robinson DA, Piekut DT, Hasman L, Knight PA. Cadaveric Simulation Training in Cardiothoracic Surgery: A Systematic Review. ANATOMICAL SCIENCES EDUCATION 2020; 13:413-425. [PMID: 31232510 DOI: 10.1002/ase.1908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 06/19/2019] [Accepted: 06/19/2019] [Indexed: 06/09/2023]
Abstract
Simulation training has become increasingly relevant in the educational curriculum of surgical trainees. The types of simulation models used, goals of simulation training, and an objective assessment of its utility and effectiveness are highly variable. The role and effectiveness of cadaveric simulation in cardiothoracic surgical training has not been well established. The objective of this study was to evaluate the current medical literature available on the utility and the effectiveness of cadaveric simulation in cardiothoracic surgical residency training. A literature search was performed using PubMed, Cochrane Library, Embase, Scopus, and CINAHL from inception to February 2019. Of the 362 citations obtained, 23 articles were identified and retrieved for full review, yielding ten eligible articles that were included for analysis. One additional study was identified and included in the analysis. Extraction of data from the selected articles was performed using predetermined data fields, including study design, study participants, simulation task, performance metrics, and costs. Most of these studies were only descriptive of a cadaveric or perfused cadaveric simulation model that could be used to augment clinical operative training in cardiothoracic surgery. There is a paucity of evidence in the literature that specifically evaluates the utility and the efficacy of cadavers in cardiothoracic surgery training. Of the few studies that have been published in the literature, cadaveric simulation does seem to have a role in cardiothoracic surgery training beyond simply learning basic skills. Additional research in this area is needed.
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Affiliation(s)
- Davida A Robinson
- Division of Cardiac Surgery, Department of Surgery, School of Medicine and Dentistry, University of Rochester, Rochester, New York
| | - Diane T Piekut
- Department of Neuroscience, School of Medicine and Dentistry, University of Rochester, Rochester, New York
| | - Linda Hasman
- Division of Research and Clinical Information Services, University of Rochester, Rochester, New York
| | - Peter A Knight
- Division of Cardiac Surgery, Department of Surgery, School of Medicine and Dentistry, University of Rochester, Rochester, New York
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Mooney MA, Cavallo C, Zhou JJ, Bohl MA, Belykh E, Gandhi S, McBryan S, Stevens SM, Lawton MT, Almefty KK, Nakaji P. Three-Dimensional Printed Models for Lateral Skull Base Surgical Training: Anatomy and Simulation of the Transtemporal Approaches. Oper Neurosurg (Hagerstown) 2020; 18:193-201. [PMID: 31172189 DOI: 10.1093/ons/opz120] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 01/21/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Three-dimensional (3D) printing holds great potential for lateral skull base surgical training; however, studies evaluating the use of 3D-printed models for simulating transtemporal approaches are lacking. OBJECTIVE To develop and evaluate a 3D-printed model that accurately represents the anatomic relationships, surgical corridor, and surgical working angles achieved with increasingly aggressive temporal bone resection in lateral skull base approaches. METHODS Cadaveric temporal bones underwent thin-slice computerized tomography, and key anatomic landmarks were segmented using 3D imaging software. Corresponding 3D-printed temporal bone models were created, and 4 stages of increasingly aggressive transtemporal approaches were performed (40 total approaches). The surgical exposure and working corridor were analyzed quantitatively, and measures of face validity, content validity, and construct validity in a cohort of 14 participants were assessed. RESULTS Stereotactic measurements of the surgical angle of approach to the mid-clivus, residual bone angle, and 3D-scanned infill volume demonstrated comparable changes in both the 3D temporal bone models and cadaveric specimens based on the increasing stages of transtemporal approaches (PANOVA <.003, <.007, and <.007, respectively), indicating accurate representation of the surgical corridor and working angles in the 3D-printed models. Participant assessment revealed high face validity, content validity, and construct validity. CONCLUSION The 3D-printed temporal bone models highlighting key anatomic structures accurately simulated 4 sequential stages of transtemporal approaches with high face validity, content validity, and construct validity. This strategy may provide a useful educational resource for temporal bone anatomy and training in lateral skull base approaches.
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Affiliation(s)
- Michael A Mooney
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Claudio Cavallo
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - James J Zhou
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Michael A Bohl
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Evgenii Belykh
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Sirin Gandhi
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Sarah McBryan
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Shawn M Stevens
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Michael T Lawton
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Kaith K Almefty
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Peter Nakaji
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
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Thompson JW, Elwardany O, McCarthy DJ, Sheinberg DL, Alvarez CM, Nada A, Snelling BM, Chen SH, Sur S, Starke RM. In vivo cerebral aneurysm models. Neurosurg Focus 2019; 47:E20. [DOI: 10.3171/2019.4.focus19219] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 04/09/2019] [Indexed: 11/06/2022]
Abstract
Cerebral aneurysm rupture is a devastating event resulting in subarachnoid hemorrhage and is associated with significant morbidity and death. Up to 50% of individuals do not survive aneurysm rupture, with the majority of survivors suffering some degree of neurological deficit. Therefore, prior to aneurysm rupture, a large number of diagnosed patients are treated either microsurgically via clipping or endovascularly to prevent aneurysm filling. With the advancement of endovascular surgical techniques and devices, endovascular treatment of cerebral aneurysms is becoming the first-line therapy at many hospitals. Despite this fact, a large number of endovascularly treated patients will have aneurysm recanalization and progression and will require retreatment. The lack of approved pharmacological interventions for cerebral aneurysms and the need for retreatment have led to a growing interest in understanding the molecular, cellular, and physiological determinants of cerebral aneurysm pathogenesis, maturation, and rupture. To this end, the use of animal cerebral aneurysm models has contributed significantly to our current understanding of cerebral aneurysm biology and to the development of and training in endovascular devices. This review summarizes the small and large animal models of cerebral aneurysm that are being used to explore the pathophysiology of cerebral aneurysms, as well as the development of novel endovascular devices for aneurysm treatment.
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Affiliation(s)
- John W. Thompson
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Omar Elwardany
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - David J. McCarthy
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Dallas L. Sheinberg
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Carlos M. Alvarez
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Ahmed Nada
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Brian M. Snelling
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
- 4Marcus Neuroscience Institute, Boca Raton Regional Hospital, Boca Raton, Florida
| | - Stephanie H. Chen
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Samir Sur
- Departments of 1Neurological Surgery and
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
| | - Robert M. Starke
- Departments of 1Neurological Surgery and
- 2Radiology, University of Miami
- 3The University of Miami Cerebrovascular Initiative, University of Miami; and
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Lechanoine F, Smirnov M, Armani-Franceschi G, Carneiro P, Cottier P, Destrieux C, Maldonado IL. Stereoscopic Images from Computed Tomography Angiograms. World Neurosurg 2019; 128:259-267. [PMID: 31078804 DOI: 10.1016/j.wneu.2019.04.257] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 04/29/2019] [Accepted: 04/30/2019] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To present an adaptation of the anaglyph photography technique to be used with radiological images from computed tomography angiograms, enabling stereoscopic visualization of a patient's individual abnormal vascular anatomy for teaching, case discussion, or surgical planning purposes. METHODS Traditional anaglyph procedures with actual objects yield 2 independent photographs, simulating the image perceived by each eye. Production of anaglyphs from angiograms involve 3 basic procedures: volume rendering, image capture, and image fusion. Volume renderings were reconstructed using a free, open-source DICOM (Digital Imaging and Communications in Medicine) reader. Subsequently, the virtual object was positioned to mimic the operator's angle of view, and different perspectives of the reconstructed volume could be obtained through exclusively horizontal rotation. The 2 images were then fused after their color composition was modified so that each eye would perceive only 1 image when using anaglyph glasses. RESULTS Forty-three angiograms were reviewed for the purpose of this study and a total of 6 examinations were selected for illustration of the technique. Stereoscopic display was possible for all of them and in the 3 types of support tested: computer monitor, tablet, and smartphone screens. CONCLUSIONS Anaglyph display of computed tomography angiograms is an effective and low-cost alternative for the stereoscopic visualization of a patient's individual intracranial vascular anatomy.
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Affiliation(s)
- François Lechanoine
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France; Neurosurgery Department, CHU Grenoble Alpes, Grenoble, France; Université Grenoble Alpes, Grenoble, France
| | - Mykyta Smirnov
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | | | - Pedro Carneiro
- Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, Brazil
| | - Philippe Cottier
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France; CHRU de Tours, Tours, France
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France; CHRU de Tours, Tours, France
| | - Igor Lima Maldonado
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France; Departamento de Biomorfologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil; CHRU de Tours, Tours, France; Le Studium Loire Valley Institute for Advanced Studies, Orleans, France.
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Bairamian D, Liu S, Eftekhar B. Virtual Reality Angiogram vs 3-Dimensional Printed Angiogram as an Educational tool—A Comparative Study. Neurosurgery 2019; 85:E343-E349. [DOI: 10.1093/neuros/nyz003] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 01/25/2019] [Indexed: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
Three-dimensional (3D) visualization of the neurovascular structures has helped preoperative surgical planning. 3D printed models and virtual reality (VR) devices are 2 options to improve 3D stereovision and stereoscopic depth perception of cerebrovascular anatomy for aneurysm surgery.
OBJECTIVE
To investigate and compare the practicality and potential of 3D printed and VR models in a neurosurgical education context.
METHODS
The VR angiogram was introduced through the development and testing of a VR smartphone app. Ten neurosurgical trainees from Australia and New Zealand participated in a 2-part interactive exercise using 3 3D printed and VR angiogram models followed by a questionnaire about their experience. In a separate exercise to investigate the learning curve effect on VR angiogram application, a qualified neurosurgeon was subjected to 15 exercises involving manipulating VR angiograms models.
RESULTS
VR angiogram outperformed 3D printed model in terms of resolution. It had statistically significant advantage in ability to zoom, resolution, ease of manipulation, model durability, and educational potential. VR angiogram had a higher questionnaire total score than 3D models. The 3D printed models had a statistically significant advantage in depth perception and ease of manipulation. The results were independent of trainee year level, sequence of the tests, or anatomy.
CONCLUSION
In selected cases with challenging cerebrovascular anatomy where stereoscopic depth perception is helpful, VR angiogram should be considered as a viable alternative to the 3D printed models for neurosurgical training and preoperative planning. An immersive virtual environment offers excellent resolution and ability to zoom, potentiating it as an untapped educational tool.
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Affiliation(s)
- David Bairamian
- Department of Neurosurgery, Nepean Hospital, The University of Sydney, Sydney, Australia
| | - Shinuo Liu
- Department of Neurosurgery, Nepean Hospital, The University of Sydney, Sydney, Australia
- Department of Neurosurgery, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
| | - Behzad Eftekhar
- Department of Neurosurgery, Nepean Hospital, The University of Sydney, Sydney, Australia
- Department of Neurosurgery, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia
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18
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Giovani A, Sandu AM, Petrescu G, Gorgan RM, Goel A. Application of Microanastomosis Techniques in Vascular Neurosurgery Training and Innovation of Future Surgical Strategies for Giant Aneurysms. World Neurosurg 2019; 122:e1120-e1127. [DOI: 10.1016/j.wneu.2018.10.239] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 10/29/2018] [Accepted: 10/31/2018] [Indexed: 11/26/2022]
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Ratinam R, Quayle M, Crock J, Lazarus M, Fogg Q, McMenamin P. Challenges in creating dissectible anatomical 3D prints for surgical teaching. J Anat 2019; 234:419-437. [PMID: 30710355 DOI: 10.1111/joa.12934] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2018] [Indexed: 01/17/2023] Open
Abstract
Three-dimensional (3D) printing, or additive manufacturing, is now a widely used tool in pre-operative planning, surgical teaching and simulator training. However, 3D printing technology that produces models with accurate haptic feedback, biomechanics and visuals for the training surgeon is not currently available. Challenges and opportunities in creating such surgical models will be discussed in this review paper. Surgery requires proper tissue handling as well as knowledge of relevant anatomy. To prepare doctors properly, training models need to take into account the biomechanical properties of the anatomical structures that will be manipulated in any given operation. This review summarises and evaluates the current biomechanical literature as it relates to human tissues and correlates the impact of this knowledge on developing high fidelity 3D printed surgical training models. We conclude that, currently, a printer technology has not yet been developed which can replicate many of the critical qualities of human tissue. Advances in 3D printing technology will be required to allow the printing of multi-material products to achieve the mechanical properties required.
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Affiliation(s)
- Ratheesraj Ratinam
- Department of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia
| | - Michelle Quayle
- Department of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia
| | - John Crock
- Department of Surgery, Monash University, Clayton, Vic., Australia
| | - Michelle Lazarus
- Department of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia
| | - Quentin Fogg
- Department of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.,Department of Anatomy and Neuroscience, The University of Melbourne, Melbourne, Vic., Australia
| | - Paul McMenamin
- Department of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia
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20
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Kumagai K, Mori K, Takeuchi S, Wada K. Surgical Training for the Management of Intraoperative Aneurysm Rupture Using a Three-Dimensional Artificial Model. Asian J Neurosurg 2019; 14:172-174. [PMID: 30937030 PMCID: PMC6417360 DOI: 10.4103/ajns.ajns_197_18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Background Intraoperative aneurysm rupture (IAR) is one of the most dreaded complications of microsurgical cerebral aneurysm clipping. The surgical result is directly affected by whether an operator can control IAR. However, the development of endovascular treatment has decreased the probability of exposure to this situation for neurosurgical residents. Therefore, neurovascular surgeons must develop the skills and mental attitude to deal with IAR through off-the-job training, without conducting actual operations. Materials and Methods We have developed a tabletop training system using three-dimensional artificial modeling that can be used for daily clinical practice. Results and Conclusions Our model is useful for training because of its low cost, reusability, and ease of preparation and practice.
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Affiliation(s)
- Kosuke Kumagai
- Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama, Japan
| | - Kentaro Mori
- Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama, Japan
| | - Satoru Takeuchi
- Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama, Japan
| | - Kojiro Wada
- Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama, Japan
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Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
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Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
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23
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El Sabbagh A, Eleid MF, Al-Hijji M, Anavekar NS, Holmes DR, Nkomo VT, Oderich GS, Cassivi SD, Said SM, Rihal CS, Matsumoto JM, Foley TA. The Various Applications of 3D Printing in Cardiovascular Diseases. Curr Cardiol Rep 2018; 20:47. [PMID: 29749577 DOI: 10.1007/s11886-018-0992-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW To highlight the various applications of 3D printing in cardiovascular disease and discuss its limitations and future direction. RECENT FINDINGS Use of handheld 3D printed models of cardiovascular structures has emerged as a facile modality in procedural and surgical planning as well as education and communication. Three-dimensional (3D) printing is a novel imaging modality which involves creating patient-specific models of cardiovascular structures. As percutaneous and surgical therapies evolve, spatial recognition of complex cardiovascular anatomic relationships by cardiologists and cardiovascular surgeons is imperative. Handheld 3D printed models of cardiovascular structures provide a facile and intuitive road map for procedural and surgical planning, complementing conventional imaging modalities. Moreover, 3D printed models are efficacious educational and communication tools. This review highlights the various applications of 3D printing in cardiovascular diseases and discusses its limitations and future directions.
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Affiliation(s)
- Abdallah El Sabbagh
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mackram F Eleid
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mohammed Al-Hijji
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Nandan S Anavekar
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David R Holmes
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vuyisile T Nkomo
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | | | - Sameh M Said
- Division of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - Charanjit S Rihal
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Thomas A Foley
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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Gmeiner M, Dirnberger J, Fenz W, Gollwitzer M, Wurm G, Trenkler J, Gruber A. Virtual Cerebral Aneurysm Clipping with Real-Time Haptic Force Feedback in Neurosurgical Education. World Neurosurg 2018; 112:e313-e323. [DOI: 10.1016/j.wneu.2018.01.042] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 01/03/2018] [Accepted: 01/05/2018] [Indexed: 01/22/2023]
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25
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Sadasivan C, Lieber BB, Woo HH. Physical Simulators and Replicators in Endovascular Neurosurgery Training. COMPREHENSIVE HEALTHCARE SIMULATION: NEUROSURGERY 2018. [DOI: 10.1007/978-3-319-75583-0_3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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26
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Foley TA, El Sabbagh A, Anavekar NS, Williamson EE, Matsumoto JM. 3D-Printing: Applications in Cardiovascular Imaging. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0239-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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27
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Burkhardt JK, Lawton MT. Training Young Neurosurgeons in Open Microsurgical Aneurysm Treatment. World Neurosurg 2017; 103:919-920. [DOI: 10.1016/j.wneu.2017.04.089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 04/13/2017] [Indexed: 10/19/2022]
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28
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Ciporen J, Lucke-Wold B, Dogan A, Cetas JS, Cameron WE. Dual Endoscopic Endonasal Transsphenoidal and Precaruncular Transorbital Approaches for Clipping of the Cavernous Carotid Artery: A Cadaveric Simulation. J Neurol Surg B Skull Base 2016; 77:485-490. [PMID: 27857875 PMCID: PMC5112163 DOI: 10.1055/s-0036-1584094] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 03/22/2016] [Indexed: 02/08/2023] Open
Abstract
Background Endoscopic skull base approaches are being used to address complicated neurovascular pathology. These approaches are safest when proximal vascular control of the cavernous carotid artery (CavCA) can be obtained. Methods We present a cadaver-based anatomic simulation study showing the feasibility of clip placement for the CavCA as it courses through the cavernous sinus. The arterial vessels were injected with red microfil (Flow Tech, Carver, Massachusetts) to enhance visibility. The endoscope was directed through a precaruncular transorbital approach and instrumentation was managed through an endonasal transsphenoidal approach. Results The dual approach minimized the "coning down" and instrument "sword fighting" that occurs as the rod lens endoscope and instruments are used laterally and posterior toward the clivus and brainstem. The precaruncular transorbital approach improved visualization of the clip application and improved the functional working area. The transorbital port allowed better appreciation of the distal clip tines, and the laterally positioned cranial nerves. Conclusions The advantages may be most realized in the setting of endoscopic endonasal resection of highly vascular lesions and/or bleeding from a ruptured aneurysm being clipped. Simulated training provides an excellent opportunity to enhance skill sets and increase familiarity with anatomical visualization before entering the operative arena.
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Affiliation(s)
- Jeremy Ciporen
- Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, United States
- Address for correspondence Jeremy Ciporen, MD Department of Neurological Surgery, Oregon Health & Science UniversityCenter for Health and Healing, CH8N, 3303 SW Bond Avenue, Portland, OR 97239United States
| | - Brandon Lucke-Wold
- Department of Neurosurgery, West Virginia University, Morgantown, West Virginia, United States
| | - Aclan Dogan
- Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, United States
| | - Justin S. Cetas
- Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon, United States
| | - William E. Cameron
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, United States
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Lan Q, Chen A, Zhang T, Li G, Zhu Q, Fan X, Ma C, Xu T. Development of Three-Dimensional Printed Craniocerebral Models for Simulated Neurosurgery. World Neurosurg 2016; 91:434-42. [PMID: 27132180 DOI: 10.1016/j.wneu.2016.04.069] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 04/17/2016] [Accepted: 04/20/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To use three-dimensional (3D) printed craniocerebral models to guide neurosurgery and design the best operative route preoperatively. METHODS Computed tomography, magnetic resonance imaging, computed tomography angiography, and functional magnetic resonance images of the patients were collected as needed, reconstructed to form multicolor 3D craniocerebral images, and printed to form solid 3D models. The hollow aneurysm model was printed with rubberlike material; craniocerebral models were printed with resin or gypsum. RESULTS The 3D printed hollow aneurysm model was highly representative of what was observed during the surgery. The model had realistic texture and elasticity and was used for preoperative simulation of aneurysm clipping for clip selection, which was the same as was used during the surgery. The craniocerebral aneurysm model clearly showed the spatial relation between the aneurysm and surrounding tissues, which can be used to select the best surgical approach in the preoperative simulation, to evaluate the necessity of drilling the anterior clinoid process, and to determine the feasibility of using a contralateral approach. The craniocerebral tumor and anatomic model showed the spatial relation between tumor and intracranial vasculatures, tractus pyramidalis, and functional areas, which was helpful 1) when selecting the optimal surgical approach to avoid damage to brain function, 2) for learning the functional anatomy of the craniocerebral structure, and 3) for preoperative selection of surgical spaces in the sellar region. CONCLUSIONS 3D printing provides neurosurgeons with solid craniocerebral models that can be observed and operated on directly and effectively, which further improves the accuracy of neurosurgeries.
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Affiliation(s)
- Qing Lan
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China.
| | - Ailin Chen
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Tan Zhang
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guowei Li
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Qing Zhu
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaomin Fan
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China
| | - Cheng Ma
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China
| | - Tao Xu
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, China.
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Del Castillo-Calcáneo J, Donoghue JA. A Novel Method for 3-Dimensional Printing a Brain That Feels and Looks Like One: The Next Step in the Search of the Perfect Neurosurgical Simulator. World Neurosurg 2016; 91:620-2. [PMID: 27062917 DOI: 10.1016/j.wneu.2016.03.086] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 03/23/2016] [Indexed: 10/22/2022]
Affiliation(s)
- Juan Del Castillo-Calcáneo
- Neurosurgery, National Autonomous University of Mexico (UNAM), Mexico City, Mexico; Neurosurgery Department, Mexican Oil Company (Pemex) High Specialty Hospital, Mexico City, Mexico.
| | - Jacob Alexander Donoghue
- Harvard Medical School, Boston, Massachusetts, USA; Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Department of Brain and Cognitive Sciences and Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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