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Bogdanov TG, Mileva R, Ferdinandov D. Step-by-Step Implementation of Three-Dimensional Print Technology in Preoperative Neurosurgery Planning. Cureus 2024; 16:e67119. [PMID: 39290911 PMCID: PMC11407424 DOI: 10.7759/cureus.67119] [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: 08/18/2024] [Indexed: 09/19/2024] Open
Abstract
This study presents a detailed methodology for integrating three-dimensional (3D) printing technology into preoperative planning in neurosurgery. The increasing capabilities of 3D printing over the last decade have made it a valuable tool in medical fields such as orthopedics and dental practices. Neurosurgery can similarly benefit from these advancements, though the creation of accurate 3D models poses a significant challenge due to the technical expertise required and the cost of specialized software. This paper demonstrates a step-by-step process for developing a 3D physical model for preoperative planning using free, open-source software. A case involving a 62-year-old male with a large infiltrating tumor in the sacrum, originating from renal cell carcinoma, is used to illustrate the method. The process begins with the acquisition of a CT scan, followed by image reconstruction using InVesalius 3, an open-source software. The resulting 3D model is then processed in Autodesk Meshmixer (Autodesk, Inc., San Francisco, CA), where individual anatomical structures are segmented and prepared for printing. The model is printed using the Bambu Lab X1 Carbon 3D printer (Bambu Lab, Austin, TX), allowing for multicolor differentiation of structures such as bones, tumors, and blood vessels. The study highlights the practical aspects of model creation, including artifact removal, surface separation, and optimization for print volume. It discusses the advantages of multicolor printing for visual clarity in surgical planning and compares it with monochromatic and segmented printing approaches. The findings underscore the potential of 3D printing to enhance surgical precision and planning, providing a replicable protocol that leverages accessible technology. This work supports the broader adoption of 3D printing in neurosurgery, emphasizing the importance of collaboration between medical and engineering professionals to maximize the utility of these models in clinical practice.
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Affiliation(s)
- Todor G Bogdanov
- Department of Medical Physics, Medical University - Sofia, Sofia, BGR
| | - Rene Mileva
- Department of Physiology, Faculty of Medicine, Medical University - Sofia, Sofia, BGR
| | - Dilyan Ferdinandov
- Department of Neurosurgery, Faculty of Medicine, Medical University - Sofia, Sofia, BGR
- Clinic of Neurosurgery, St. Ivan Rilski University Hospital, Sofia, BGR
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Hampshire J, Dicken BJ, Uruththirakodeeswaran T, Punithakumar K, Noga M. Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors. Int J Comput Assist Radiol Surg 2023; 18:1941-1949. [PMID: 36905500 DOI: 10.1007/s11548-023-02852-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 02/08/2023] [Indexed: 03/12/2023]
Abstract
PURPOSE Typically, preoperative imaging is viewed in two dimensions (2D) only, but three-dimensional (3D) virtual models may improve viewers' anatomical perspective by permitting them to interact with the imaging through manipulating it in space. Research into the utility of these models in most surgical specialties is growing rapidly. This study investigates the utility of 3D virtual models of complex pediatric abdominal tumors for clinical decision making, particularly the decision to proceed with surgical resection or not. METHODS 3D virtual models of tumors and adjacent anatomy were created from CT images of pediatric patients scanned for Wilms tumor, neuroblastoma or hepatoblastoma. Pediatric surgeons individually assessed the resectability of the tumors. First, they assessed resectability using the standard protocol of viewing imaging on conventional screens and then reassessed resectability after being presented with the 3D virtual models. Inter-physician agreement on resectability for each patient was analyzed using Krippendorff's alpha. Inter-physician agreement was used as a surrogate for correct interpretation. Participants were also surveyed afterward on the utility and practicality of the 3D virtual models for clinical decision making. RESULTS Inter-physician agreement when using CT imaging alone was "fair" (Krippendorff's alpha α = 0.399), while inter-physician agreement when using 3D virtual models increased to "moderate" (Krippendorff's alpha α = 0.532). When surveyed about model utility, all 5 participants considered them helpful. Two participants felt the models would be practical for clinical use in most cases, while 3 felt they would be practical for select cases only. CONCLUSION This study demonstrates the subjective utility of 3D virtual models of pediatric abdominal tumors for clinical decision making. The models are an adjunct that can be particularly useful in complicated tumors that efface or displace critical structures that may impact resectability. Statistical analysis demonstrates the improved inter-rater agreement with the 3D stereoscopic display over the 2D display. The use of 3D displays of medical images will increase over time, and evaluation of their potential usefulness in various clinical settings is necessary.
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Affiliation(s)
- Jonathan Hampshire
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Bryan J Dicken
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
- University of Alberta Hospital, 2A2.41 WMC, 8440-112 Street, Edmonton, AB, T6G 2B7, Canada
| | | | | | - Michelle Noga
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
- University of Alberta Hospital, 2A2.41 WMC, 8440-112 Street, Edmonton, AB, T6G 2B7, Canada.
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Santona G, Madoglio A, Mattavelli D, Rigante M, Ferrari M, Lauretti L, Mattogno P, Parrilla C, De Bonis P, Galli J, Olivi A, Fontanella MM, Fiorentino A, Serpelloni M, Doglietto F. Training models and simulators for endoscopic transsphenoidal surgery: a systematic review. Neurosurg Rev 2023; 46:248. [PMID: 37725193 PMCID: PMC10509294 DOI: 10.1007/s10143-023-02149-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/29/2023] [Accepted: 09/02/2023] [Indexed: 09/21/2023]
Abstract
Endoscopic transsphenoidal surgery is a novel surgical technique requiring specific training. Different models and simulators have been recently suggested for it, but no systematic review is available. To provide a systematic and critical literature review and up-to-date description of the training models or simulators dedicated to endoscopic transsphenoidal surgery. A search was performed on PubMed and Scopus databases for articles published until February 2023; Google was also searched to document commercially available. For each model, the following features were recorded: training performed, tumor/arachnoid reproduction, assessment and validation, and cost. Of the 1199 retrieved articles, 101 were included in the final analysis. The described models can be subdivided into 5 major categories: (1) enhanced cadaveric heads; (2) animal models; (3) training artificial solutions, with increasing complexity (from "box-trainers" to multi-material, ct-based models); (4) training simulators, based on virtual or augmented reality; (5) Pre-operative planning models and simulators. Each available training model has specific advantages and limitations. Costs are high for cadaver-based solutions and vary significantly for the other solutions. Cheaper solutions seem useful only for the first stages of training. Most models do not provide a simulation of the sellar tumor, and a realistic simulation of the suprasellar arachnoid. Most artificial models do not provide a realistic and cost-efficient simulation of the most delicate and relatively common phase of surgery, i.e., tumor removal with arachnoid preservation; current research should optimize this to train future neurosurgical generations efficiently and safely.
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Affiliation(s)
- Giacomo Santona
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Alba Madoglio
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
- Department of Neurosurgery, Sant' Anna University Hospital, Ferrara, Italy
| | - Davide Mattavelli
- Otorhinolaryngology-Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, ASST Spedali Civili of Brescia, University of Brescia, Brescia, Italy
| | - Mario Rigante
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Ferrari
- Section of Otorhinolaryngology-Head and Neck Surgery, Department of Neurosciences, University of Padua - Azienda Ospedaliera di Padova, Padua, Italy
| | - Liverana Lauretti
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Pierpaolo Mattogno
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Claudio Parrilla
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Pasquale De Bonis
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
- Department of Neurosurgery, Sant' Anna University Hospital, Ferrara, Italy
| | - Jacopo Galli
- Otorhinolaryngology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Otorhinolaryngology, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Largo Agostino Gemelli, 8, 00168, Rome, Italy
| | - Alessandro Olivi
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Maria Fontanella
- Neurosurgery, Department of Medical and Surgical Specialties, Radiologic Sciences, and Public Health, University of Brescia - ASST Spedali Civili di Brescia, Brescia, Italy
| | - Antonio Fiorentino
- Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy
| | - Mauro Serpelloni
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Francesco Doglietto
- Neurosurgery, Department of Neurosciences, Sensory Organs and Thorax, Università Cattolica del Sacro Cuore, Rome, Italy.
- Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
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Three-dimensional modeling in complex liver surgery and liver transplantation. Hepatobiliary Pancreat Dis Int 2022; 21:318-324. [PMID: 35701284 DOI: 10.1016/j.hbpd.2022.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 05/24/2022] [Indexed: 02/05/2023]
Abstract
Liver resection and transplantation are the most effective therapies for many hepatobiliary tumors and diseases. However, these surgical procedures are challenging due to the anatomic complexity and many anatomical variations of the vascular and biliary structures. Three-dimensional (3D) printing models can clearly locate and describe blood vessels, bile ducts and tumors, calculate both liver and residual liver volumes, and finally predict the functional status of the liver after resection surgery. The 3D printing models may be particularly helpful in the preoperative evaluation and surgical planning of especially complex liver resection and transplantation, allowing to possibly increase resectability rates and reduce postoperative complications. With the continuous developments of imaging techniques, such models are expected to become widely applied in clinical practice.
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Ramirez MDJE, Nurmukhametov R, Bernard E, Peralta I, Efe IE. A Low-Cost Three-Dimensional Printed Retractor for Transforaminal Lumbar Interbody Fusion. Cureus 2022; 14:e24185. [PMID: 35592187 PMCID: PMC9110095 DOI: 10.7759/cureus.24185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2022] [Indexed: 11/17/2022] Open
Abstract
The authors developed a low-cost surgical retractor to improve surgeon’s comfort and facilitate pedicle screw insertion in transforaminal lumbar interbody fusion surgery. The retractor was designed using three-dimensional (3D) modeling software and produced with the help of a 3D printer. It was attached to a mechanic retractor arm. The retractor was anchored to the transverse process through a concave notch at its tip, visualizing the junction between the transverse process and the superior articular process. The gutter-shaped body of the retractor helped stay within the ideal trajectory during screw insertion. The retractor was tested in 20 patients undergoing transforaminal lumbar interbody fusion with satisfactory results. Future models will be generated suitable for surgery of the cervical and thoracic spine.
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