1
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Hubbard ZS, Cunningham CM, Saway BF, Weber AC, Sowlat MM, Elawady SS, Nawabi NLA, Porto G, Spiotta AM. Transradial Angiography Skill Acquisition Using an Endovascular Simulation Program. World Neurosurg 2024:S1878-8750(24)01260-9. [PMID: 39033807 DOI: 10.1016/j.wneu.2024.07.120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 07/13/2024] [Accepted: 07/15/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Given the benefits of neuroendovascular simulation to resident education, this study aimed to assess the efficacy of simulation-based training for neuroendovascular intervention with primary and secondary catheters using a transradial approach (TRA). METHODS Five neurosurgical residents (PGY 1-3) from our institution enrolled in a standardized pilot training protocol. Trainees used the Mentice (Gothenburg, Vastra Gotaland, Sweden) Visit G5 simulator with a type II arch using a right TRA. RESULTS All participants improved their total time to complete the task from the first trial to the last trial. Residents improved the overall time required to complete the task by 111.8 ± 57 seconds (52% improvement; P = 0.012). Participants reported improved knowledge of Simmons catheter formation from 1.6 ± 0.8 to 2.8 ± 1 (P = 0.035) and improved knowledge of transradial vessel selection technique from 1.6 ± 0.9 to 2.8 ± 1.1 (P = 0.035). All residents were able to illustrate a bovine arch and types 1-3 arches post-simulation. Residents rated the simulation usefulness as 4.6 ± 0.548 (scale 1 [not useful] to 5 [essential]) with 4 of the 5 residents (80%) identifying this exercise as essential. All residents rated the hands-on component of the training exercise as the most important. CONCLUSIONS Residents demonstrated proficiency at Simmons catheter formation and vessel selection in a type II arch over a short time period (4 attempts and <1 hour total). Residents can use simulator-based training to increase their proficiency of vessel selection using a primary or secondary catheter for a TRA.
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Affiliation(s)
- Zachary S Hubbard
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA.
| | - Conor M Cunningham
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Brian Fabian Saway
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Aimee C Weber
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Mohammad-Mahdi Sowlat
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Sameh Samir Elawady
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Noah LA Nawabi
- College of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Guilherme Porto
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Alejandro M Spiotta
- Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA
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2
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Fanizzi C, Carone G, Rocca A, Ayadi R, Petrenko V, Casali C, Rani M, Giachino M, Falsitta LV, Gambatesa E, Galbiati TF, Orena EF, Tramacere I, Riker NI, Mocca A, Schaller K, Meling TR, DiMeco F, Perin A. Simulation to become a better neurosurgeon. An international prospective controlled trial: The Passion study. BRAIN & SPINE 2024; 4:102829. [PMID: 38812880 PMCID: PMC11134543 DOI: 10.1016/j.bas.2024.102829] [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: 03/14/2024] [Revised: 04/30/2024] [Accepted: 05/06/2024] [Indexed: 05/31/2024]
Abstract
Introduction Surgical training traditionally adheres to the apprenticeship paradigm, potentially exposing trainees to an increased risk of complications stemming from their limited experience. To mitigate this risk, augmented and virtual reality have been considered, though their effectiveness is difficult to assess. Research question The PASSION study seeks to investigate the improvement of manual dexterity following intensive training with neurosurgical simulators and to discern how surgeons' psychometric characteristics may influence their learning process and surgical performance. Material and methods Seventy-two residents were randomized into the simulation group (SG) and control group (CG). The course spanned five days, commencing with assessment of technical skills in basic procedures within a wet-lab setting on day 1. Over the subsequent core days, the SG engaged in simulated procedures, while the CG carried out routine activities in an OR. On day 5, all residents' technical competencies were evaluated. Psychometric measures of all participants were subjected to analysis. Results The SG demonstrated superior performance (p < 0.0001) in the brain tumour removal compared to the CG. Positive learning curves were evident in the SG across the three days of simulator-based training for all tumour removal tasks (all p-values <0.05). No significant differences were noted in other tasks, and no meaningful correlations were observed between performance and any psychometric parameters. Discussion and conclusion A brief and intensive training regimen utilizing 3D virtual reality simulators enhances residents' microsurgical proficiency in brain tumour removal models. Simulators emerge as a viable tool to expedite the learning curve of in-training neurosurgeons.
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Affiliation(s)
- Claudia Fanizzi
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Giovanni Carone
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Alessandra Rocca
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Roberta Ayadi
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Veronika Petrenko
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Cecilia Casali
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Martina Rani
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan,
Italy
| | - Marta Giachino
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan,
Italy
| | - Lydia Viviana Falsitta
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Enrico Gambatesa
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Tommaso Francesco Galbiati
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Eleonora Francesca Orena
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
| | - Irene Tramacere
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
| | - Nicole Irene Riker
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
| | - Alessandro Mocca
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan,
Italy
| | - Karl Schaller
- Department of Clinical Neurosciences, Division of Neurosurgery, Geneva
University Hospitals & Faculty of Medicine, Geneva, Switzerland
- Department of Clinical Neurosciences, Division of Neurosurgery, Geneva
University Hospitals & Faculty of Medicine, and SFITS, Geneva,
Switzerland
| | - Torstein Ragnar Meling
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
- Department of Neurosurgery, The National Hospital of Denmark,
Rigshospitalet, Copenhagen, Denmark
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
- Department of Pathophysiology and Transplantation, University of Milano,
Milano, Italy
- Department of Neurological Surgery, Johns Hopkins Medical School,
Baltimore, MD, USA
| | - Alessandro Perin
- Department of Neurosurgery, Fondazione I.R.C.C.S. Istituto Neurologico
“C. Besta”, Milano, Italy
- Besta NeuroSim Center, Fondazione I.R.C.C.S. Istituto Neurologico
Nazionale "C. Besta", Milano, Italy
- Department of Life Sciences, University of Trieste, Trieste,
Italy
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Corvino S, Piazza A, Spiriev T, Tafuto R, Corrivetti F, Solari D, Cavallo LM, Di Somma A, Enseñat J, de Notaris M, Iaconetta G. The Sellar Region as Seen from Transcranial and Endonasal Perspectives: Exploring Bony Landmarks Through New Surface Photorealistic Three-Dimensional Model Reconstruction for Neurosurgical Anatomy Training. World Neurosurg 2024; 185:e367-e375. [PMID: 38342178 DOI: 10.1016/j.wneu.2024.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/04/2024] [Indexed: 02/13/2024]
Abstract
BACKGROUND Virtual reality-based learning of neuroanatomy is a new feasible method to explore, visualize, and dissect interactively complex anatomic regions. We provide a new interactive photorealistic three-dimensional (3D) model of sellar region microsurgical anatomy that allows side-by-side views of exocranial and endocranial surfaces to be explored, with the aim of assisting young neurosurgery residents in learning microsurgical anatomy of this complex region. METHODS Four head specimens underwent an endoscopic endonasal approach extended to the anterior and posterior skull base to expose the main bony anatomic landmarks of the sellar region. The same bony structures were exposed from a transcranial perspective. By using a photogrammetry method, multiple photographs from both endocranial and exocranial perspectives, different for angulations and depth, were captured, fused, and processed through dedicated software. RESULTS All relevant bony structures were clearly distinguishable in the 3D model reconstruction, which provides several benefits in neuroanatomy learning: first, it replicates bony structures with high degrees of realism, accuracy, and fidelity; in addition, it provides realistic spatial perception of the depth of the visualized structures and their anatomic relationships; again, the 3D model is interactive and allows a 360° self-guided tour of the reconstructed object, so that the learner can read the bones and their anatomic relationship from all desired points of view. CONCLUSIONS Detailed knowledge of key surgical landmarks representing keyholes and/or anatomic structures to not violate is mandatory for safer surgery, especially for a complex region such as the skull base. Highly accurate virtual and functional neurosurgical models, such as photogrammetry, can generate a realistic appearance to further improve surgical simulators and learn neuroanatomy.
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Affiliation(s)
- Sergio Corvino
- Division of Neurosurgery, Department of Neuroscience and Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli "Federico II", Naples, Italy; Department of Neuroscience and Reproductive and Odontostomatological Sciences, Program in Neuroscience, Università degli Studi di Napoli "Federico II", Naples, Italy; Laboratory of Neuroanatomy, EBRIS Foundation, European Biomedical Research Institute of Salerno, Salerno, Italy
| | - Amedeo Piazza
- Laboratory of Neuroanatomy, EBRIS Foundation, European Biomedical Research Institute of Salerno, Salerno, Italy; Division of Neurosurgery, "Sapienza" University of Rome, Rome, Italy
| | - Toma Spiriev
- Department of Neurosurgery, Acibadem Cityclinic University Hospital Tokuda, Sofia, Bulgaria
| | - Roberto Tafuto
- Division of Neurosurgery, Department of Neuroscience and Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli "Federico II", Naples, Italy; Laboratory of Surgical Neuroanatomy, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Francesco Corrivetti
- Laboratory of Neuroanatomy, EBRIS Foundation, European Biomedical Research Institute of Salerno, Salerno, Italy; Department of Neurosurgery, San Luca Hospital, Salerno, Italy
| | - Domenico Solari
- Division of Neurosurgery, Department of Neuroscience and Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli "Federico II", Naples, Italy
| | - Luigi Maria Cavallo
- Division of Neurosurgery, Department of Neuroscience and Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli "Federico II", Naples, Italy
| | - Alberto Di Somma
- Laboratory of Surgical Neuroanatomy, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain; Departments of Neurological Surgery, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Joaquim Enseñat
- Departments of Neurological Surgery, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Matteo de Notaris
- Laboratory of Neuroanatomy, EBRIS Foundation, European Biomedical Research Institute of Salerno, Salerno, Italy; Neurosurgical Clinic A.O.U. "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy.
| | - Giorgio Iaconetta
- Neurosurgical Clinic A.O.U. "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
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4
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Cuello JF, Bardach A, Gromadzyn G, Ruiz Johnson A, Comandé D, Aguirre E, Ruvinsky S. Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review. Neurosurg Rev 2023; 47:24. [PMID: 38159156 DOI: 10.1007/s10143-023-02263-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/16/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
Simulation training is an educational tool that provides technical and cognitive proficiency in a risk-free environment. Several models have recently been presented in Latin America and the Caribbean (LAC). However, many of them were presented in non-indexed literature and not included in international reviews. This scoping review aims to describe the simulation models developed in LAC for neurosurgery training. Specifically, it focuses on assessing the models developed in LAC, the simulated neurosurgical procedures, the model's manufacturing costs, and the translational outcomes. Simulation models developed in LAC were considered, with no language or time restriction. Cadaveric, ex vivo, animal, synthetic, and virtual/augmented reality models were included for cranial and spinal procedures. We conducted a review according to the PRISMA-ScR, including international and regional reports from indexed and non-indexed literature. Two independent reviewers screened articles. Conflicts were resolved by a third reviewer using Covidence software. We collected data regarding the country of origin, recreated procedure, type of model, model validity, and manufacturing costs. Upon screening 917 studies, 69 models were developed in LAC. Most of them were developed in Brazil (49.28%). The most common procedures were related to general neurosurgery (20.29%), spine (17.39%), and ventricular neuroendoscopy and cerebrovascular (15.94% both). Synthetic models were the most frequent ones (38.98%). The manufacturing cost ranged from 4.00 to 2005.00 US Dollars. To our knowledge, this is the first scoping review about simulation models in LAC, setting the basis for future research studies. It depicts an increasing number of simulation models in the region, allowing a wide range of neurosurgical training in a resource-limited setting.
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Affiliation(s)
| | - Ariel Bardach
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
- Centro de Investigaciones Epidemiológicas y Salud Pública (CIESP-IECS), CONICET, Buenos Aires, Argentina
| | - Guido Gromadzyn
- Neurosurgery Department, Hospital Garrahan, Buenos Aires, Argentina
| | | | - Daniel Comandé
- Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
| | - Emilio Aguirre
- Neurosurgery Department, Hospital Cordero, San Fernando, Argentina
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Rex J, Banfer FA, Sukumar M, Zurca AD, Rodgers DL. Using Simulation to Develop and Test a Modified Cardiopulmonary Resuscitation Technique for a Child With Severe Scoliosis: A System-Based Approach From Theory, to Simulation, to Practice. Simul Healthc 2023; 18:341-347. [PMID: 36326755 DOI: 10.1097/sih.0000000000000695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jenny Rex
- From the Nursing Education and Professional Development (J.R.), Penn State Health Milton S. Hershey Medical Center, Hershey, PA; Advis (F.A.B.), Trinley Park, IL; Center for Education, Simulation, and Innovation (M.S.), Hartford Healthcare, Hartford, CN; Department of Pediatrics (A.D.Z.), Penn State Hershey Children's Hospital, Hershey, PA; Interprofessional Simulation Center (D.L.R.), Indiana University, Bloomington, IN; and Department of Medicine (D.L.R.), Indiana University School of Medicine, Bloomington, IN
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6
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Shen J, Yang M, Zhong N, Jiao J, Xiao J. 3D-printed Titanium Prosthetic Reconstruction of Unilateral Bone Deficiency After Surgical Resection of Tumor Lesions in the Upper Cervical Spine: Clinical Outcomes of Three Consecutive Cases and Narrative Review. Clin Spine Surg 2023; Publish Ahead of Print:01933606-990000000-00151. [PMID: 37296493 DOI: 10.1097/bsd.0000000000001469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/09/2023] [Indexed: 06/12/2023]
Abstract
MAIN POINTS Operational excision of tumor lesions in the upper cervical spine remains a tremendous challenge to surgeons due to the local complex anatomic relationships. Meanwhile, no commercially available device has been specially designed to address bone deficiency after surgical resection. Here, we described the reconstruction of unilateral bone deficiency after surgical resection of a giant cell tumor of the tendon sheath originating from the lateral atlantoaxial joint with the employment of a 3D printing technique and reviewed the relevant literature. In our study, 3 patients with giant cell tumor of the tendon sheath in the upper cervical spine achieved complete tumor removal, and received unilateral bone reconstruction with one-armed 3D-printed titanium prosthesis. During the follow-up, these patients remained neurologically intact and got back to a normal life without wearing the braces. Images demonstrated the satisfactory placement of 3D-printed prosthesis with no failure of fixation and no subsidence. In addition, 6 articles describing the employment of 3D-printed prostheses or models for tumor surgery in the upper cervical spine were reviewed, and satisfactory clinical outcomes were reported in these studies. Hence, 3D-printed titanium prosthetic reconstruction of bone deficiency in the upper cervical spine was a safe and effective technique. LEVEL OF EVIDENCE Level IV.
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Affiliation(s)
- Jun Shen
- Department of Orthopedics, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University
- Department of Orthopaedic Oncology, The Second Affiliated Hospital of Naval Medical University, Naval Medical University, Shanghai, China
| | - Minglei Yang
- Department of Orthopaedic Oncology, The Second Affiliated Hospital of Naval Medical University, Naval Medical University, Shanghai, China
| | - Nanzhe Zhong
- Department of Orthopaedic Oncology, The Second Affiliated Hospital of Naval Medical University, Naval Medical University, Shanghai, China
| | - Jian Jiao
- Department of Orthopaedic Oncology, The Second Affiliated Hospital of Naval Medical University, Naval Medical University, Shanghai, China
| | - Jianru Xiao
- Department of Orthopaedic Oncology, The Second Affiliated Hospital of Naval Medical University, Naval Medical University, Shanghai, China
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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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Muacevic A, Adler JR, Laleva L, Nakov V, Spiriev T. Three-Dimensional Printing in Neurosurgery: A Review of Current Indications and Applications and a Basic Methodology for Creating a Three-Dimensional Printed Model for the Neurosurgical Practice. Cureus 2022; 14:e33153. [PMID: 36733788 PMCID: PMC9887931 DOI: 10.7759/cureus.33153] [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] [Accepted: 12/30/2022] [Indexed: 01/01/2023] Open
Abstract
Introduction Three-dimensional (3D) printing is an affordable aid that is useful in neurosurgery. It allows for better visualization and tactile appreciation of the individual anatomy and regions of interest and therefore potentially lowers the risk of complications. There are various applications of this technology in the field of neurosurgery. Materials and methods In this paper, we present a basic methodology for the creation of a 3D printed model using only open-source software for medical image editing, model generation, pre-printing preparation, and analysis of the literature concerning the practical use of this methodology. Results The literature review on the current applications of 3D printed models in neurosurgery shows that they are mostly used for preoperative planning, surgical training, and simulation, closely followed by their use in patient-specific implants and instrumentation and medical education. MaterialiseTM Mimics is the most frequently used commercial software for a 3D modeling for preoperative planning and surgical simulation, while the most popular open-source software for the same applications is 3D Slicer. In this paper, we present the algorithm that we employ for 3D printing using HorosTM, Blender, and Cura software packages which are all free and open-source. Conclusion Three-dimensional printing is becoming widely available and of significance to neurosurgical practice. Currently, there are various applications of this technology that are less demanding in terms of technical knowledge and required fluency in medical imaging software. These predispositions open the field for further research on the possible use of 3D printing in neurosurgery.
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Singh R, Singh R, Baby B, Suri A. Effect of the Segmentation Threshold on Computed Tomography-Based Reconstruction of Skull Bones with Reference Optical Three-Dimensional Scanning. World Neurosurg 2022; 166:e34-e43. [PMID: 35718274 DOI: 10.1016/j.wneu.2022.06.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND A variety of applications related to neurosurgical procedures, education, and training require accurate reconstruction of the involved structures from the medical images such as computed tomography (CT). This study evaluates the quality of CT-based reconstruction of dry skull bones for advanced neurosurgical applications. The accuracy and precision of these models were examined with reference optical scanning. METHODS Three consecutive CT and optical scans of different skull bones were acquired and used to develop three-dimensional models. The accuracy of three-dimensional models was examined by manual inspection of the defined anatomical landmarks of the skull. Reproducibility was examined by deviation analysis of the models developed from repeated CT and optical scans. RESULTS Precision was excellent in both the techniques with less than 0.1 mm deviation error. On the interscan evaluation of the CT versus optical scan model, deviations of more than 0.1 mm were observed in 16 out of 21 instances. CT reconstruction using standard segmentation algorithms results in missing bone portions while using the default bone segmentation threshold. The segmentation threshold was varied to construct missing bone regions, and its effect on the iso-surface generation was evaluated. The threshold variation led to increased mean deviations of surfaces up to 0.6 mm. CONCLUSIONS The study reveals that bone structure, complexity, and segmentation threshold lead to CT reconstruction variability. The trade-off between the desirable model and accepted mean deviation should be considered as per traits of the desired application.
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Affiliation(s)
- Ramandeep Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Rajdeep Singh
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | - Britty Baby
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India; Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India
| | - Ashish Suri
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
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Wang H, Wu J. A time-dependent offset field approach to simulating realistic interactions between beating hearts and surgical devices in virtual interventional radiology. Front Cardiovasc Med 2022; 9:1004968. [PMID: 36211579 PMCID: PMC9537555 DOI: 10.3389/fcvm.2022.1004968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/06/2022] [Indexed: 11/18/2022] Open
Abstract
Endovascular interventional radiology (IR) is a minimally invasive procedure for the treatment of vascular diseases. This procedure requires physicians to be highly skilled at manipulating interventional devices under the guidance of two-dimensional X-ray imaging. By offering a non-error-sensitive and radiation-free environment, a virtual reality-based simulator provides a promising alternative for surgical skills training and surgery planning. Building a realistic and interactive simulator is a challenging task. To achieve better realism, this paper proposes a novel method of simulating the heartbeat for both standard and patient-specific anatomical data. A time-dependent offset field approach is proposed to efficiently and stably simulate the interactive behavior between the dynamic heart mesh and surgical devices. For medical imaging simulation, we propose a GPU-based linear depth subtraction method to approximate fluoroscopic images based on the attenuation of the X-ray. On this basis, a topology-based flow map method is proposed to simulate the propagation of the contrast medium in angiography. Experimental results show that the proposed algorithm can simulate heartbeat stably for meshes with varying geometrical shapes and complexities. In efficiency, the dynamic heart mesh can interact with surgical devices stably at 60 frames/s. Under the simulated fluoroscopic imaging effect, the injected contrast medium can realistically visualize both dynamic and static vessels. In a face validity by medical students and clinicians, the category of effectiveness score 8.35 out of 10 on average, demonstrating that our simulator is useful in surgical skills training and surgery planning.
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Affiliation(s)
- Haoyu Wang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
| | - Jianhuang Wu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
- *Correspondence: Jianhuang Wu,
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von Steuben T, Enzmann FK, Spintzyk S, Rupp F, Roehler A. Needle Penetration Simulation: Influence of Penetration Angle and Sample Stress on the Mechanical Behaviors of Polymers Applying a Cast Silicone and a 3D-Printed Resin. MATERIALS (BASEL, SWITZERLAND) 2022; 15:5575. [PMID: 36013710 PMCID: PMC9415758 DOI: 10.3390/ma15165575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 08/07/2022] [Accepted: 08/11/2022] [Indexed: 06/15/2023]
Abstract
For surgical catheterization training applications, realistic and effective materials are desired. In this study, the relevance of a needle puncture angle and a simulated wall stress on different elastic materials were determined in a previously developed experimental setup. Both settings were considered individually in two new setups. In addition, a control setup with neither angle nor prestress was designed. During the process of puncturing the samples of two materials (Replisil 9N and Formlabs Elastic 50A), force−displacement values were collected, and three predefined parameters evaluated. The differences between the angled/stressed groups and the control group were analyzed. The additively processed material required a significantly higher force to puncture than the conventional one (p < 0.001). Moreover, a needle angulation of 45° required more force than puncturing orthogonally. Prestressing the samples did not clearly influence the resulting force. An evaluation of relative parameters showed that the investigated materials behaved differently but not linearly differently under the influence of needle angle and prestress. Therefore, it is essential to evaluate the properties and suitability of materials for surgical training models in appropriate experimental setups considering multiple parameters.
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Affiliation(s)
- Thore von Steuben
- Department of Vascular Surgery, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
- Medical Materials Science and Technology, University Hospital Tuebingen, Osianderstraße 2-8, 72076 Tuebingen, Germany
| | - Florian K. Enzmann
- Department of Vascular Surgery, Medical University Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Sebastian Spintzyk
- ADMiRE Lab–Additive Manufacturing, Intelligent Robotics, Sensors and Engineering, School of Engineering and IT, Carinthia University of Applied Sciences, Europastraße 4, 9524 Villach, Austria
| | - Frank Rupp
- Medical Materials Science and Technology, University Hospital Tuebingen, Osianderstraße 2-8, 72076 Tuebingen, Germany
| | - Ariadne Roehler
- Medical Materials Science and Technology, University Hospital Tuebingen, Osianderstraße 2-8, 72076 Tuebingen, Germany
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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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Obstacles to cadaver use for the development of neurosurgical techniques and devices in Japan. Neurosurg Rev 2022; 45:2489-2491. [PMID: 35244833 PMCID: PMC8894122 DOI: 10.1007/s10143-022-01764-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 01/13/2022] [Accepted: 02/27/2022] [Indexed: 10/26/2022]
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Zabala-Travers S. Biomodeling and 3D printing: A novel radiology subspecialty. ANNALS OF 3D PRINTED MEDICINE 2021. [DOI: 10.1016/j.stlm.2021.100038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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