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Krauel L, Fenollosa F, Riaza L, Pérez M, Tarrado X, Morales A, Gomà J, Mora J. Use of 3D Prototypes for Complex Surgical Oncologic Cases. World J Surg 2015; 40:889-94. [DOI: 10.1007/s00268-015-3295-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Weinstock P, Prabhu SP, Flynn K, Orbach DB, Smith E. Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing. J Neurosurg Pediatr 2015; 16:584-589. [PMID: 26230460 DOI: 10.3171/2015.3.peds14677] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECT Despite the availability of multiplanar imaging, understanding relational 3D anatomy for complex cerebrovascular lesions can be difficult. A 3D printed model allows for instantaneous visualization of lesional anatomy from all perspectives, with the added ability to simulate operative approaches with tactile feedback. The authors report their experience with customized 3D printed models of pediatric cerebrovascular lesions as an educational and clinical tool for patients, trainees, and physicians. METHODS Via an "in-house" 3D print service, magnetic resonance imaging (MRI) and computerized tomography (CT) studies of pediatric patients with arteriovenous malformations (AVMs) were processed with specialized software, and regions of interest were selected by the surgical/endovascular team. Multiple models for each patient were then printed on a 3D printer, with each construct designed to illustrate different aspects of the specific lesion. Intraoperative validation of model fidelity was performed using perioperative imaging, surgical filming, and post hoc analysis of models with intraoperative photography. RESULTS Four cases involving pediatric patients (ages 0-16 years) were studied for initial proof of principle. Three of the patients had AVMs and one had a vein of Galen malformation (VOGM). The VOGM was embolized successfully and the AVMs were resected without complication. In the AVM cases, intraprocedural imaging and photography were performed and verified millimeter-level fidelity of the models (n = 5, 98% concordance, range 94%-100% with average of < 2 mm variation in the largest AVM [6-cm diameter]). The use of 3D models was associated with a 30-minute reduction in operative time (12%) in 2 cases when they were compared with matched controls as a feasibility study. CONCLUSIONS Patient-specific 3D printed models of pediatric cerebrovascular conditions can be constructed with high fidelity. This proof-of-principle series demonstrates, for the first time, confirmation of model accuracy using intraprocedural assessment and potential benefit through shortened operative time.
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Affiliation(s)
- Peter Weinstock
- Boston Children's Hospital Simulator Program (SIMPeds).,Department of Anesthesiology, Perioperative and Pain Medicine, Division of Critical Care Medicine, and.,Harvard Medical School, Boston, Massachusetts
| | - Sanjay P Prabhu
- Boston Children's Hospital Simulator Program (SIMPeds).,Departments of 3 Radiology and.,Harvard Medical School, Boston, Massachusetts
| | - Katie Flynn
- Boston Children's Hospital Simulator Program (SIMPeds)
| | - Darren B Orbach
- Departments of 3 Radiology and.,Harvard Medical School, Boston, Massachusetts
| | - Edward Smith
- Neurosurgery, Boston Children's Hospital and.,Harvard Medical School, Boston, Massachusetts
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Kurup HKN, Samuel BP, Vettukattil JJ. Hybrid 3D printing: a game-changer in personalized cardiac medicine? Expert Rev Cardiovasc Ther 2015; 13:1281-4. [PMID: 26465262 DOI: 10.1586/14779072.2015.1100076] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Three-dimensional (3D) printing in congenital heart disease has the potential to increase procedural efficiency and patient safety by improving interventional and surgical planning and reducing radiation exposure. Cardiac magnetic resonance imaging and computed tomography are usually the source datasets to derive 3D printing. More recently, 3D echocardiography has been demonstrated to derive 3D-printed models. The integration of multiple imaging modalities for hybrid 3D printing has also been shown to create accurate printed heart models, which may prove to be beneficial for interventional cardiologists, cardiothoracic surgeons, and as an educational tool. Further advancements in the integration of different imaging modalities into a single platform for hybrid 3D printing and virtual 3D models will drive the future of personalized cardiac medicine.
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Affiliation(s)
- Harikrishnan K N Kurup
- a Congenital Heart Center , Helen DeVos Children's Hospital of Spectrum Health , Grand Rapids , MI , USA
| | - Bennett P Samuel
- a Congenital Heart Center , Helen DeVos Children's Hospital of Spectrum Health , Grand Rapids , MI , USA
| | - Joseph J Vettukattil
- a Congenital Heart Center , Helen DeVos Children's Hospital of Spectrum Health , Grand Rapids , MI , USA
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Abstract
BACKGROUND Although holes, or channels, between the ventricles are the commonest congenital cardiac malformations, there is still no consensus as to how they can best be described and categorised. So as to assess whether it is possible to produce a potentially universally acceptable system, we have analysed the hearts categorised as having ventricular septal defects in a large archive held at Birmingham Children's Hospital. Materials and methods We analysed all the hearts categorised as having isolated ventricular septal defects, or those associated with aortic coarctation or interruption in the setting of concordant ventriculo-arterial connections, in the archive of autopsied hearts held at Birmingham Children's Hospital, United Kingdom. RESULTS We found 147 hearts within the archive fulfilling our criterions for inclusion. All could be classified within one of three groups depending on their borders as seen from the right ventricle. To provide full description, however, it was also necessary to take account of the way the defects opened to the right ventricle, and the presence or absence of alignment between the septal components. CONCLUSIONS By combining information on the phenotypic specificity defined on the basis of their borders, the direction of opening into the right ventricle, and the presence or absence of septal malalignment, it proved possible to categorise all hearts examined within the archive of Birmingham Children's Hospital. Our findings have necessitated creation of new numbers within the European Paediatric Cardiac Code.
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Youssef RF, Spradling K, Yoon R, Dolan B, Chamberlin J, Okhunov Z, Clayman R, Landman J. Applications of three-dimensional printing technology in urological practice. BJU Int 2015; 116:697-702. [PMID: 26010346 DOI: 10.1111/bju.13183] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
A rapid expansion in the medical applications of three-dimensional (3D)-printing technology has been seen in recent years. This technology is capable of manufacturing low-cost and customisable surgical devices, 3D models for use in preoperative planning and surgical education, and fabricated biomaterials. While several studies have suggested 3D printers may be a useful and cost-effective tool in urological practice, few studies are available that clearly demonstrate the clinical benefit of 3D-printed materials. Nevertheless, 3D-printing technology continues to advance rapidly and promises to play an increasingly larger role in the field of urology. Herein, we review the current urological applications of 3D printing and discuss the potential impact of 3D-printing technology on the future of urological practice.
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Affiliation(s)
- Ramy F Youssef
- Department of Urology, University of California, Irvine, CA, USA
| | - Kyle Spradling
- Department of Urology, University of California, Irvine, CA, USA
| | - Renai Yoon
- Department of Urology, University of California, Irvine, CA, USA
| | - Benjamin Dolan
- Department of Urology, University of California, Irvine, CA, USA
| | | | - Zhamshid Okhunov
- Department of Urology, University of California, Irvine, CA, USA
| | - Ralph Clayman
- Department of Urology, University of California, Irvine, CA, USA
| | - Jaime Landman
- Department of Urology, University of California, Irvine, CA, USA
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Three-Dimensional Printing of Intracardiac Defects from Three-Dimensional Echocardiographic Images: Feasibility and Relative Accuracy. J Am Soc Echocardiogr 2015; 28:392-7. [DOI: 10.1016/j.echo.2014.12.016] [Citation(s) in RCA: 136] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Indexed: 11/23/2022]
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Costello JP, Olivieri LJ, Su L, Krieger A, Alfares F, Thabit O, Marshall MB, Yoo SJ, Kim PC, Jonas RA, Nath DS. Incorporating three-dimensional printing into a simulation-based congenital heart disease and critical care training curriculum for resident physicians. CONGENIT HEART DIS 2014; 10:185-90. [PMID: 25385353 DOI: 10.1111/chd.12238] [Citation(s) in RCA: 142] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/14/2014] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Although simulation-based education is now commonly utilized in medicine, its use in the instruction of congenital heart disease remains limited. The objective of this study is to evaluate whether heart models created with three-dimensional printing technology can be effectively incorporated into a simulation-based congenital heart disease and critical care training curriculum for pediatric resident physicians. DESIGN Utilizing heart models created with a three-dimensional printer, pediatric residents participated in a 60-minute simulation seminar with three consecutive components: (1) didactic instruction on ventricular septal defect anatomy; (2) didactic/simulation-based instruction on echocardiographic imaging of ventricular septal defects and anatomical teaching/operative simulation of ventricular septal defect repair; (3) simulation-based instruction on postoperative critical care management of ventricular septal defects. SETTING Academic, free-standing, children's hospital with quaternary care referrals. PARTICIPANTS Twenty-three pediatric resident physicians. OUTCOME MEASURES Subjective, Likert-type questionnaires assessing knowledge acquisition, knowledge reporting, and structural conceptualization of ventricular septal defects. RESULTS Three-dimensional printing technology was successfully utilized to create heart models of five common ventricular septal defect subtypes. After using these models in a simulation-based curriculum, pediatric residents were found to have improvement in the areas of knowledge acquisition (P = .0082), knowledge reporting (P = .01), and structural conceptualization (P < .0001) of ventricular septal defects, as well as improvement in the ability to describe and manage postoperative complications in ventricular septal defect patients in the critical care setting. CONCLUSIONS The utilization of three-dimensional printing in a simulation-based congenital heart disease and critical care training curriculum is feasible and improves pediatric resident physicians' understanding of a common congenital heart abnormality.
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Affiliation(s)
- John P Costello
- Division of Cardiovascular Surgery, Children's National Health System, Washington, DC, USA; The Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
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Coakley MF, Hurt DE, Weber N, Mtingwa M, Fincher EC, Alekseyev V, Chen DT, Yun A, Gizaw M, Swan J, Yoo TS, Huyen Y. The NIH 3D Print Exchange: A Public Resource for Bioscientific and Biomedical 3D Prints. 3D PRINTING AND ADDITIVE MANUFACTURING 2014; 1:137-140. [PMID: 28367477 PMCID: PMC4981148 DOI: 10.1089/3dp.2014.1503] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The National Institutes of Health (NIH) has launched the NIH 3D Print Exchange, an online portal for discovering and creating bioscientifically relevant 3D models suitable for 3D printing, to provide both researchers and educators with a trusted source to discover accurate and informative models. There are a number of online resources for 3D prints, but there is a paucity of scientific models, and the expertise required to generate and validate such models remains a barrier. The NIH 3D Print Exchange fills this gap by providing novel, web-based tools that empower users with the ability to create ready-to-print 3D files from molecular structure data, microscopy image stacks, and computed tomography scan data. The NIH 3D Print Exchange facilitates open data sharing in a community-driven environment, and also includes various interactive features, as well as information and tutorials on 3D modeling software. As the first government-sponsored website dedicated to 3D printing, the NIH 3D Print Exchange is an important step forward to bringing 3D printing to the mainstream for scientific research and education.
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Affiliation(s)
- Meghan F Coakley
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Darrell E Hurt
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Nick Weber
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Makazi Mtingwa
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Erin C Fincher
- Biovisualization Group, Unit on Computer Support Services, National Institute of Child Health and Human Development, National Institutes of Health , Bethesda, Maryland
| | - Vsevelod Alekseyev
- Software Engineering Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - David T Chen
- Three-D Informatics Group, Office of High Performance Computing and Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland
| | - Alvin Yun
- Operations Engineering Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Metasebia Gizaw
- Software Engineering Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
| | - Jeremy Swan
- Biovisualization Group, Unit on Computer Support Services, National Institute of Child Health and Human Development, National Institutes of Health , Bethesda, Maryland
| | - Terry S Yoo
- Three-D Informatics Group, Office of High Performance Computing and Communications, National Library of Medicine, National Institutes of Health , Bethesda, Maryland
| | - Yentram Huyen
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Bethesda, Maryland
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