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Ardila CM, González-Arroyave D, Zuluaga-Gómez M. Efficacy of three-dimensional models for medical education: A systematic scoping review of randomized clinical trials. Heliyon 2023; 9:e13395. [PMID: 36816291 PMCID: PMC9932677 DOI: 10.1016/j.heliyon.2023.e13395] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
To estimate the efficacy of three-dimensional (3D) models for medical education. METHODS A systematic scoping review was performed containing diverse databases such as SCOPUS, PubMed/MEDLINE, SCIELO, and LILACS. MeSH terms and keywords were stipulated to explore randomized clinical trials (RCTs) in all languages. Solely RCTs that accomplished the eligibility criteria were admitted. RESULTS Fifteen RCTs including 1659 medical students were chosen. Five RCTs studied heart models, 3 RCTs explored facial, spinal and bone fractures and the rest of the trials investigated eye, arterial, pelvic, hepatic, chest, skull, and cleft lip and palate models. Regarding the efficacy of 3D models, in terms of learning skills and knowledge gained by medical students, most RCTs reported higher scores. Considering the test-taking times, the results were variable. Two RCTs showed less time for the 3D group, another RCT indicated variable results in the response times of the test depending on the anatomical zone evaluated, while another described that the students in the 3D group were slightly quicker to answer all questions when compared with the traditional group, but without statistical significance. The other 11 experiments did not present results about test-taking times. Most students in all RCTs indicated satisfaction, enjoyment, and interest in utilizing the 3D systems, and recognized that their abilities were enhanced. CONCLUSIONS Higher efficacy in terms of learning skills and knowledge gained was observed when the 3D systems were used by medical students. Undergraduates also expressed great satisfaction with the use of these technologies. Regarding the test-taking times, the results favored the 3D group.
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Affiliation(s)
- Carlos M. Ardila
- Basic Studies Department, Faculty of Dentistry, University of Antioquia, UdeA, 050010 Medellín, Colombia,Corresponding author. 70th street # 52-21, Medellín, Colombia.
| | - Daniel González-Arroyave
- Medicine Department, San Vicente Fundación Hospital, 054047 Rionegro, Colombia,Bolivariana University, Medellín Colombia
| | - Mateo Zuluaga-Gómez
- Medicine Department, San Vicente Fundación Hospital, 054047 Rionegro, Colombia,Bolivariana University, Medellín Colombia
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2
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Żukowska M, Rad MA, Górski F. Additive Manufacturing of 3D Anatomical Models-Review of Processes, Materials and Applications. MATERIALS (BASEL, SWITZERLAND) 2023; 16:880. [PMID: 36676617 PMCID: PMC9861235 DOI: 10.3390/ma16020880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
The methods of additive manufacturing of anatomical models are widely used in medical practice, including physician support, education and planning of treatment procedures. The aim of the review was to identify the area of additive manufacturing and the application of anatomical models, imitating both soft and hard tissue. The paper outlines the most commonly used methodologies, from medical imaging to obtaining a functional physical model. The materials used to imitate specific organs and tissues, and the related technologies used to produce, them are included. The study covers publications in English, published by the end of 2022 and included in the Scopus. The obtained results emphasise the growing popularity of the issue, especially in the areas related to the attempt to imitate soft tissues with the use of low-cost 3D printing and plastic casting techniques.
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Affiliation(s)
- Magdalena Żukowska
- Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 61-138 Poznan, Poland
| | - Maryam Alsadat Rad
- School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW 2007, Australia
| | - Filip Górski
- Faculty of Mechanical Engineering, Poznan University of Technology, Piotrowo 3, 61-138 Poznan, Poland
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Chacón JM, Núñez PJ, Caminero MA, García-Plaza E, Vallejo J, Blanco M. 3D printing of patient-specific 316L–stainless–steel medical implants using fused filament fabrication technology: two veterinary case studies. Biodes Manuf 2022. [DOI: 10.1007/s42242-022-00200-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Tan H, Huang E, Deng X, Ouyang S. Application of 3D printing technology combined with PBL teaching model in teaching clinical nursing in congenital heart surgery: A case-control study. Medicine (Baltimore) 2021; 100:e25918. [PMID: 34011060 PMCID: PMC8137022 DOI: 10.1097/md.0000000000025918] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 04/19/2021] [Indexed: 01/05/2023] Open
Abstract
We aimed to explore the application of three-dimensional (3D) printing technology with problem-based learning (PBL) teaching model in clinical nursing education of congenital heart surgery, and to further improve the teaching quality of clinical nursing in congenital heart surgery. In this study, a total of 132 trainees of clinical nursing in congenital heart surgery from a grade-A tertiary hospital in 2019 were selected and randomly divided into 3D printing group or traditional group. The 3D printing group was taught with 3D printed heart models combined with PBL teaching technique, while the traditional group used conventional teaching aids combined with PBL technique for teaching. After the teaching process, the 2 groups of nursing students were assessed and surveyed separately to evaluate the results. Compared to the traditional group, the theoretical scores, clinical nursing thinking ability, self-evaluation for comprehensive ability, and teaching satisfaction from the questionnaires filled by the 3D printing group were all higher than the traditional group. The difference was found to be statistically significant (P < .05). Our study has shown the 3D printing technology combined with the PBL teaching technique in the clinical nursing teaching of congenital heart surgery achieved good results.
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Affiliation(s)
- Hui Tan
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan Province, China; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University
| | - Erjia Huang
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan Province, China; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University
| | - Xicheng Deng
- Heart Center, Hunan Children's Hospital, Changsha, China
| | - Shayuan Ouyang
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha 410000, Hunan Province, China; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University
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5
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Comparison in clinical performance of surgical guides for mandibular surgery and temporomandibular joint implants fabricated by additive manufacturing techniques. J Mech Behav Biomed Mater 2021; 119:104512. [PMID: 33930652 DOI: 10.1016/j.jmbbm.2021.104512] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 07/01/2020] [Accepted: 04/07/2021] [Indexed: 01/27/2023]
Abstract
Additive manufacturing (AM) offers great design freedom that enables objects with desired unique and complex geometry and topology to be readily and cost-effectively fabricated. The overall benefits of AM are well known, such as increased material and resource efficiency, enhanced design and production flexibility, the ability to create porous structures and on-demand manufacturing. When AM is applied to medical devices, these benefits are naturally assumed. However, hard clinical evidence collected from clinical trials and studies seems to be lacking and, as a result, systematic assessment is yet difficult. In the present work, we have reviewed 23 studies on the clinical use of AM patient-specific surgical guides (PSGs) for the mandible surgeries (n = 17) and temporomandibular joint (TMJ) patient-specific implants (PSIs) (n = 6) with respect to expected clinical outcomes. It is concluded that the data published on these AM medical devices are often lacking in comprehensive evaluation of clinical outcomes. A complete set of clinical data, including those on time management, costs, clinical outcomes, range of motion, accuracy of the placement with respect to the pre-operative planning, and extra complications, as well as manufacturing data are needed to demonstrate the real benefits gained from applying AM to these medical devices and to satisfy regulatory requirements.
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Rezvani Ghomi E, Khosravi F, Neisiany RE, Singh S, Ramakrishna S. Future of additive manufacturing in healthcare. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021. [DOI: 10.1016/j.cobme.2020.100255] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Verboeket V, Khajavi SH, Krikke H, Salmi M, Holmström J. Additive Manufacturing for Localized Medical Parts Production: A Case Study. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2021; 9:25818-25834. [PMID: 34812378 PMCID: PMC8545237 DOI: 10.1109/access.2021.3056058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 01/15/2021] [Indexed: 06/13/2023]
Abstract
Centralized supply chains (SCs) are prone to disruption, which makes them a risky choice for medical equipment production. Additive manufacturing (AM) allows for production localization and improvements in SC resilience. However, the comparative competitiveness of a localized SC from the time and cost perspective is still unclear. In this study, we investigate the competitiveness of localized medical part AM SCs against centralized ones by analyzing the responsiveness and cost of each SC. We utilize a real-world case study in which an AM service provider supplies medical parts to university medical centers in the Netherlands to construct six scenarios. We also develop a thorough empirical cost formulation for both central and local AM of patient-specific medical parts. The results of scenario analysis show that when utilizing the currently available AM technology, localized SC configurations significantly reduce the delivery time from about 54 to 27h, but at a 4.3-fold higher cost. Hence, we illustrate that the cost difference between the localized and centralized scenarios can be reduced when state-of-the-art AM machines are utilized, demand volumes increase, and the distances between the SC network nodes expand. Moreover, our scenario analysis confirms that the cost of the measures taken to prevent dust dispersion associated with powder-bed fusion AM has a major impact on the total cost of localized AM SCs for medical parts. The results of this study contribute to the understanding of the relevant factors in deciding whether central or localized SC configurations can be used in the AM production of medical parts. Furthermore, this study provides managerial insights for decision-makers at governments and hospitals as well as AM service providers and AM equipment manufacturers.
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Affiliation(s)
- Victor Verboeket
- Brightlands Institute for Supply Chain InnovationZuyd University of Applied Sciences–Maastricht6200MaastrichtThe Netherlands
| | - Siavash H. Khajavi
- Department of Industrial Engineering and ManagementAalto University02150EspooFinland
| | - Harold Krikke
- Faculty of Management SciencesOpen University of the Netherlands6401HeerlenThe Netherlands
| | - Mika Salmi
- Department of Mechanical EngineeringSchool of EngineeringAalto University00076EspooFinland
| | - Jan Holmström
- Department of Industrial Engineering and ManagementAalto University02150EspooFinland
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Additive Manufacturing Processes in Medical Applications. MATERIALS 2021; 14:ma14010191. [PMID: 33401601 PMCID: PMC7796413 DOI: 10.3390/ma14010191] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/16/2020] [Accepted: 12/27/2020] [Indexed: 12/29/2022]
Abstract
Additive manufacturing (AM, 3D printing) is used in many fields and different industries. In the medical and dental field, every patient is unique and, therefore, AM has significant potential in personalized and customized solutions. This review explores what additive manufacturing processes and materials are utilized in medical and dental applications, especially focusing on processes that are less commonly used. The processes are categorized in ISO/ASTM process classes: powder bed fusion, material extrusion, VAT photopolymerization, material jetting, binder jetting, sheet lamination and directed energy deposition combined with classification of medical applications of AM. Based on the findings, it seems that directed energy deposition is utilized rarely only in implants and sheet lamination rarely for medical models or phantoms. Powder bed fusion, material extrusion and VAT photopolymerization are utilized in all categories. Material jetting is not used for implants and biomanufacturing, and binder jetting is not utilized for tools, instruments and parts for medical devices. The most common materials are thermoplastics, photopolymers and metals such as titanium alloys. If standard terminology of AM would be followed, this would allow a more systematic review of the utilization of different AM processes. Current development in binder jetting would allow more possibilities in the future.
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Tosoratti E, Incaviglia I, Liashenko O, Leinenbach C, Zenobi-Wong M. Additively Manufactured Semiflexible Titanium Lattices as Hydrogel Reinforcement for Biomedical Implants. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202000031] [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] Open
Affiliation(s)
- Enrico Tosoratti
- Institute for Biomechanics ETH Zurich Otto-Stern-Weg 7 Zurich 8093 Switzerland
| | - Ilaria Incaviglia
- Advanced Materials and Surfaces Swiss Federal Laboratories for Materials Science and Technology Überland Str. 129 Dübendorf 8600 Switzerland
| | - Oleksii Liashenko
- Advanced Materials and Surfaces Swiss Federal Laboratories for Materials Science and Technology Überland Str. 129 Dübendorf 8600 Switzerland
| | - Christian Leinenbach
- Advanced Materials and Surfaces Swiss Federal Laboratories for Materials Science and Technology Überland Str. 129 Dübendorf 8600 Switzerland
| | - Marcy Zenobi-Wong
- Institute for Biomechanics ETH Zurich Otto-Stern-Weg 7 Zurich 8093 Switzerland
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Chen F, Zabalza J, Murray P, Marshall S, Yu J, Gupta N. Embedded product authentication codes in additive manufactured parts: Imaging and image processing for improved scan ability. ADDITIVE MANUFACTURING 2020; 35:101319. [PMID: 33816132 PMCID: PMC8017490 DOI: 10.1016/j.addma.2020.101319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The layer-by-layer printing process of additive manufacturing methods provides new opportunities to embed identification codes inside parts during manufacture. These embedded codes can be used for product authentication and identification of counterfeits. The availability of reverse engineering tools has increased the risk of counterfeit part production and new authentication technologies such as the one proposed in this paper are required for many applications including aerospace components and medical implants and devices. The embedded codes are read by imaging techniques such as micro-Computed Tomography (micro-CT) scanners or radiography. The work presented in this paper is focused on developing methods that can improve the quality of the recovered micro-CT scanned code images such that they can be interpreted by standard code reader technology. Inherent low contrast and the presence of imaging artifacts are the main challenges that need to be addressed. Image processing methods are developed to address these challenges using titanium and aluminum alloy specimens containing embedded quick response (QR) codes. The proposed techniques for recovering the embedded codes are based on a combination of Mathematical Morphology and an innovative de-noising algorithm based on optimal image filtering techniques. The results show that the proposed methods are successful in making the codes scannable using readily available smartphone apps.
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Affiliation(s)
- Fei Chen
- Composite Materials and Mechanics Laboratory, Mechanical and Aerospace Engineering Department, Tandon School of Engineering, New York University, Brooklyn, NY 11201 USA
| | - Jaime Zabalza
- Department of Electronic and Electrical Engineering, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, UK
| | - Paul Murray
- Department of Electronic and Electrical Engineering, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, UK
| | - Stephen Marshall
- Department of Electronic and Electrical Engineering, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, UK
| | - Jian Yu
- US Army Research Laboratory, CCRL-WMM-D, APG, MD 21005 USA
| | - Nikhil Gupta
- Composite Materials and Mechanics Laboratory, Mechanical and Aerospace Engineering Department, Tandon School of Engineering, New York University, Brooklyn, NY 11201 USA
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11
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Cumulative Inaccuracies in Implementation of Additive Manufacturing Through Medical Imaging, 3D Thresholding, and 3D Modeling: A Case Study for an End-Use Implant. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10082968] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In craniomaxillofacial surgical procedures, an emerging practice adopts the preoperative virtual planning that uses medical imaging (computed tomography), 3D thresholding (segmentation), 3D modeling (digital design), and additive manufacturing (3D printing) for the procurement of an end-use implant. The objective of this case study was to evaluate the cumulative spatial inaccuracies arising from each step of the process chain when various computed tomography protocols and thresholding values were independently changed. A custom-made quality assurance instrument (Phantom) was used to evaluate the medical imaging error. A sus domesticus (domestic pig) head was analyzed to determine the 3D thresholding error. The 3D modeling error was estimated from the computer-aided design software. Finally, the end-use implant was used to evaluate the additive manufacturing error. The results were verified using accurate measurement instruments and techniques. A worst-case cumulative error of 1.7 mm (3.0%) was estimated for one boundary condition and 2.3 mm (4.1%) for two boundary conditions considering the maximum length (56.9 mm) of the end-use implant. Uncertainty from the clinical imaging to the end-use implant was 0.8 mm (1.4%). This study helps practitioners establish and corroborate surgical practices that are within the bounds of an appropriate accuracy for clinical treatment and restoration.
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12
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Böhler S, Bartel M, Bohn A, Jacob R, Ganster J, Büsse T, Balko J. Highly dense cellulose acetate specimens with superior mechanical properties produced by fused filament fabrication. POLYMER 2020. [DOI: 10.1016/j.polymer.2020.122388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Haleem A, Javaid M. 3D printed medical parts with different materials using additive manufacturing. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2020. [DOI: 10.1016/j.cegh.2019.08.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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Frost BA, Sutliff BP, Thayer P, Bortner MJ, Foster EJ. Gradient Poly(ethylene glycol) Diacrylate and Cellulose Nanocrystals Tissue Engineering Composite Scaffolds via Extrusion Bioprinting. Front Bioeng Biotechnol 2019; 7:280. [PMID: 31681754 PMCID: PMC6813186 DOI: 10.3389/fbioe.2019.00280] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 10/03/2019] [Indexed: 11/25/2022] Open
Abstract
Bioprinting has advanced drastically in the last decade, leading to many new biomedical applications for tissue engineering and regenerative medicine. However, there are still a myriad of challenges to overcome, with vast amounts of research going into bioprinter technology, biomaterials, cell sources, vascularization, innervation, maturation, and complex 4D functionalization. Currently, stereolithographic bioprinting is the primary technique for polymer resin bioinks. However, it lacks the ability to print multiple cell types and multiple materials, control directionality of materials, and place fillers, cells, and other biological components in specific locations among the scaffolds. This study sought to create bioinks from a typical polymer resin, poly(ethylene glycol) diacrylate (PEGDA), for use in extrusion bioprinting to fabricate gradient scaffolds for complex tissue engineering applications. Bioinks were created by adding cellulose nanocrystals (CNCs) into the PEGDA resin at ratios from 95/5 to 60/40 w/w PEGDA/CNCs, in order to reach the viscosities needed for extrusion printing. The bioinks were cast, as well as printed into single-material and multiple-material (gradient) scaffolds using a CELLINK BIOX printer, and crosslinked using lithium phenyl-2,4,6-trimethylbenzoylphosphinate as the photoinitiator. Thermal and mechanical characterizations were performed on the bioinks and scaffolds using thermogravimetric analysis, rheology, and dynamic mechanical analysis. The 95/5 w/w composition lacked the required viscosity to print, while the 60/40 w/w composition displayed extreme brittleness after crosslinking, making both CNC compositions non-ideal. Therefore, only the bioink compositions of 90/10, 80/20, and 70/30 w/w were used to produce gradient scaffolds. The gradient scaffolds were printed successfully and embodied unique mechanical properties, utilizing the benefits of each composition to increase mechanical properties of the scaffold as a whole. The bioinks and gradient scaffolds successfully demonstrated tunability of their mechanical properties by varying CNC content within the bioink composition and the compositions used in the gradient scaffolds. Although stereolithographic bioprinting currently dominates the printing of PEGDA resins, extrusion bioprinting will allow for controlled directionality, cell placement, and increased complexity of materials and cell types, improving the reliability and functionality of the scaffolds for tissue engineering applications.
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Affiliation(s)
- Brody A. Frost
- Department of Materials Science and Engineering, Macromolecules Innovation Institute, Blacksburg, VA, United States
| | - Bradley P. Sutliff
- Department of Chemical Engineering, Macromolecules Innovation Institute, Blacksburg, VA, United States
| | - Patrick Thayer
- CELLINK® LLC., Virginia Tech, Blacksburg, VA, United States
| | - Michael J. Bortner
- Department of Chemical Engineering, Macromolecules Innovation Institute, Blacksburg, VA, United States
| | - E. Johan Foster
- Department of Materials Science and Engineering, Macromolecules Innovation Institute, Blacksburg, VA, United States
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Huotilainen E, Salmi M, Lindahl J. Three-dimensional printed surgical templates for fresh cadaveric osteochondral allograft surgery with dimension verification by multivariate computed tomography analysis. Knee 2019; 26:923-932. [PMID: 31171427 DOI: 10.1016/j.knee.2019.05.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 04/19/2019] [Accepted: 05/09/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND The fit of the allograft is a particular concern in fresh cadaveric osteochondral allograft (FOCA) surgery. Digital design and fabrication were utilized in conjunction with traditional surgery to enable efficient discovery and reproduction of appropriately dimensioned allograft. METHODS A patient with large osteochondral defects in the lateral femoral condyle was to undergo FOCA surgery. A digital virtual operation was performed, based on computed tomography (CT) images of the patient. Polyamide saw templates were manufactured using a selective laser sintering process, and gypsum powder was used to manufacture preoperative and intraoperative medical models with binder jetting process. The design dimensions were verified numerically by determining the intactness of the section surface and allograft volume based on four independent measurements of the initial design, and an automated design optimization strategy was postulated. For the surgery, a lateral longitudinal approach was employed. RESULTS The virtual operation allowed an efficient design of the saw templates. Their shape and dimensions were verified with a numerical CT analysis method. The allograft dimensions (medial-lateral/superior-inferior/anterior-posterior) were approximately 40/28.5/24 mm, respectively, with the anterosuperior corner diagonally removed, yielding a section volume of approximately 16.5 cm3. These manually chosen dimensions were reminiscent of the corresponding computationally optimized values. CONCLUSIONS Use of computer-aided design in virtual operation planning and three-dimensional printing in the fabrication of designed templates allowed for an efficient FOCA procedure and accurate allograft fitting. The numerical optimization method allowed for a semiautomated design process, which could in turn be realized also with surgical navigation or robotic surgery methods.
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Affiliation(s)
| | - Mika Salmi
- School of Engineering, Aalto University, Espoo, Finland
| | - Jan Lindahl
- Helsinki University Central Hospital, Helsinki and Uusimaa Hospital District, Helsinki, Finland
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Javaid M, Haleem A. Additive manufacturing applications in medical cases: A literature based review. ALEXANDRIA JOURNAL OF MEDICINE 2019. [DOI: 10.1016/j.ajme.2017.09.003] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Mohd. Javaid
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Abid Haleem
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
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Haleem A, Javaid M, Saxena A. Additive manufacturing applications in cardiology: A review. Egypt Heart J 2018; 70:433-441. [PMID: 30591768 PMCID: PMC6303383 DOI: 10.1016/j.ehj.2018.09.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 09/28/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Additive manufacturing (AM) has emerged as a serious planning, strategy, and education tool in cardiovascular medicine. This review describes and illustrates the application, development and associated limitation of additive manufacturing in the field of cardiology by studying research papers on AM in medicine/cardiology. METHODS Relevant research papers till August 2018 were identified through Scopus and examined for strength, benefits, limitation, contribution and future potential of AM. With the help of the existing literature & bibliometric analysis, different applications of AM in cardiology are investigated. RESULTS AM creates an accurate three-dimensional anatomical model to explain, understand and prepare for complex medical procedures. A prior study of patient's 3D heart model can help doctors understand the anatomy of the individual patient, which may also be used create training modules for institutions and surgeons for medical training. CONCLUSION AM has the potential to be of immense help to the cardiologists and cardiac surgeons for intervention and surgical planning, monitoring and analysis. Additive manufacturing creates a 3D model of the heart of a specific patient in lesser time and cost. This technology is used to create and analyse 3D model before starting actual surgery on the patient. It can improve the treatment outcomes for patients, besides saving their lives. Paper summarised additive manufacturing applications particularly in the area of cardiology, especially manufacturing of a patient-specific artificial heart or its component. Model printed by this technology reduces risk, improves the quality of diagnosis and preoperative planning and also enhanced team communication. In cardiology, patient data of heart varies from patient to patient, so AM technologies efficiently produce 3D models, through converting the predesigned virtual model into a tangible object. Companies explore additive manufacturing for commercial medical applications.
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Affiliation(s)
- Abid Haleem
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Mohd Javaid
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Anil Saxena
- Cardiac Pacing & Electrophysiology, Fortis Escorts, New Delhi, India
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18
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Su W, Xiao Y, He S, Huang P, Deng X. Three-dimensional printing models in congenital heart disease education for medical students: a controlled comparative study. BMC MEDICAL EDUCATION 2018; 18:178. [PMID: 30068323 PMCID: PMC6090870 DOI: 10.1186/s12909-018-1293-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 07/25/2018] [Indexed: 05/21/2023]
Abstract
BACKGROUND This study sought to assess, using subjective (self-assessment) and objective (MCQ) methods, the efficacy of using heart models with ventricular septal defect lesions produced with three-dimensional printing technology in a congenital heart disease curriculum for medical students. METHODS Three computed tomography datasets of three subtypes of ventricular septal defects (perimembranous, subarterial and muscular, one for each) were obtained and processed for building into and printing out 3D models. Then a total of 63 medical students in one class were randomly allocated to two groups (32 students in the experimental, and 31 the control). The two groups participated in a seminar with or without a 3D heart model, respectively. Assessment of this curriculum was carried out using Likert-type questionnaires as well as an objective multiple choice question test assessing both knowledge acquisition, and structural conceptualization. Open-ended questions were also provided for getting advice and suggestion on 3D model utilization in CHD education. RESULTS With these 3D models, feedback shown in the questionnaires from students in experimental group was significantly more positive than their classmates in the control. And the test results also showed a significant difference in structural conceptualization in favor of the experimental group. CONCLUSION It is effective to use heart models created using current 3D printing technology for congenital heart disease education. It stimulates students' interest in congenital heart disease and improves the outcomes of medical education.
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MESH Headings
- Academic Success
- Education, Medical, Undergraduate/methods
- Female
- Heart Defects, Congenital/diagnostic imaging
- Heart Defects, Congenital/pathology
- Heart Septal Defects, Ventricular/diagnostic imaging
- Heart Septal Defects, Ventricular/pathology
- Humans
- Male
- Models, Anatomic
- Printing, Three-Dimensional
- Students, Medical
- Tomography, X-Ray Computed
- Young Adult
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Affiliation(s)
- Wei Su
- Research Unit for Pediatrics, Xiangnan University School of Medicine, Chenzhou, 423000 China
| | - Yunbin Xiao
- Heart Center, Hunan Children’s Hospital, No. 86 Ziyuan Road, Changsha, 410007 China
| | - Siping He
- Department of Radiology, Hunan Children’s Hospital, Changsha, 410007 China
| | - Peng Huang
- Heart Center, Hunan Children’s Hospital, No. 86 Ziyuan Road, Changsha, 410007 China
| | - Xicheng Deng
- Heart Center, Hunan Children’s Hospital, No. 86 Ziyuan Road, Changsha, 410007 China
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19
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Implementation of Industrial Additive Manufacturing: Intelligent Implants and Drug Delivery Systems. J Funct Biomater 2018; 9:jfb9030041. [PMID: 29966277 PMCID: PMC6164302 DOI: 10.3390/jfb9030041] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 06/26/2018] [Accepted: 06/27/2018] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study is to demonstrate the ability of additive manufacturing, also known as 3D printing, to produce effective drug delivery devices and implants that are both identifiable, as well as traceable. Drug delivery devices can potentially be used for drug release in the direct vicinity of target tissues or the selected medication route in a patient-specific manner as required. The identification and traceability of additively manufactured implants can be administered through radiofrequency identification systems. The focus of this study is to explore how embedded medication and sensors can be added in different additive manufacturing processes. The concept is extended to biomaterials with the help of the literature. As a result of this study, a patient-specific drug delivery device can be custom-designed and additively manufactured in the form of an implant that can identify, trace, and dispense a drug to the vicinity of a selected target tissue as a patient-specific function of time for bodily treatment and restoration.
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20
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Martinez-Marquez D, Mirnajafizadeh A, Carty CP, Stewart RA. Application of quality by design for 3D printed bone prostheses and scaffolds. PLoS One 2018; 13:e0195291. [PMID: 29649231 PMCID: PMC5896968 DOI: 10.1371/journal.pone.0195291] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 03/20/2018] [Indexed: 12/14/2022] Open
Abstract
3D printing is an emergent manufacturing technology recently being applied in the medical field for the development of custom bone prostheses and scaffolds. However, successful industry transformation to this new design and manufacturing approach requires technology integration, concurrent multi-disciplinary collaboration, and a robust quality management framework. This latter change enabler is the focus of this study. While a number of comprehensive quality frameworks have been developed in recent decades to ensure that the manufacturing of medical devices produces reliable products, they are centred on the traditional context of standardised manufacturing techniques. The advent of 3D printing technologies and the prospects for mass customisation provides significant market opportunities, but also presents a serious challenge to regulatory bodies tasked with managing and assuring product quality and safety. Before 3D printing bone prostheses and scaffolds can gain traction, industry stakeholders, such as regulators, clients, medical practitioners, insurers, lawyers, and manufacturers, would all require a high degree of confidence that customised manufacturing can achieve the same quality outcomes as standardised manufacturing. A Quality by Design (QbD) approach to custom 3D printed prostheses can help to ensure that products are designed and manufactured correctly from the beginning without errors. This paper reports on the adaptation of the QbD approach for the development process of 3D printed custom bone prosthesis and scaffolds. This was achieved through the identification of the Critical Quality Attributes of such products, and an extensive review of different design and fabrication methods for 3D printed bone prostheses. Research outcomes include the development of a comprehensive design and fabrication process flow diagram, and categorised risks associated with the design and fabrication processes of such products. An extensive systematic literature review and post-hoc evaluation survey with experts was completed to evaluate the likely effectiveness of the herein suggested QbD framework.
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Affiliation(s)
| | - Ali Mirnajafizadeh
- Molecular Cell Biomechanics Laboratory, University of California, Berkeley, California, United States of America
| | - Christopher P. Carty
- School of Allied Health Sciences and Innovations in Health Technology, Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
- Centre for Musculoskeletal Research, Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
- Queensland Children's Gait Laboratory, Queensland Paediatric Rehabilitation Service, Children's Health Queensland Hospital and Health Service, Brisbane, Queensland, Australia
| | - Rodney A. Stewart
- School of Engineering, Griffith University, Gold Coast, Queensland, Australia
- * E-mail:
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21
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Patient-Specific Surgical Implants Made of 3D Printed PEEK: Material, Technology, and Scope of Surgical Application. BIOMED RESEARCH INTERNATIONAL 2018; 2018:4520636. [PMID: 29713642 PMCID: PMC5884234 DOI: 10.1155/2018/4520636] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 02/12/2018] [Indexed: 11/17/2022]
Abstract
Additive manufacturing (AM) is rapidly gaining acceptance in the healthcare sector. Three-dimensional (3D) virtual surgical planning, fabrication of anatomical models, and patient-specific implants (PSI) are well-established processes in the surgical fields. Polyetheretherketone (PEEK) has been used, mainly in the reconstructive surgeries as a reliable alternative to other alloplastic materials for the fabrication of PSI. Recently, it has become possible to fabricate PEEK PSI with Fused Filament Fabrication (FFF) technology. 3D printing of PEEK using FFF allows construction of almost any complex design geometry, which cannot be manufactured using other technologies. In this study, we fabricated various PEEK PSI by FFF 3D printer in an effort to check the feasibility of manufacturing PEEK with 3D printing. Based on these preliminary results, PEEK can be successfully used as an appropriate biomaterial to reconstruct the surgical defects in a “biomimetic” design.
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22
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Ceh J, Youd T, Mastrovich Z, Peterson C, Khan S, Sasser TA, Sander IM, Doney J, Turner C, Leevy WM. Bismuth Infusion of ABS Enables Additive Manufacturing of Complex Radiological Phantoms and Shielding Equipment. SENSORS (BASEL, SWITZERLAND) 2017; 17:E459. [PMID: 28245589 PMCID: PMC5375745 DOI: 10.3390/s17030459] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 02/10/2017] [Accepted: 02/15/2017] [Indexed: 01/08/2023]
Abstract
Radiopacity is a critical property of materials that are used for a range of radiological applications, including the development of phantom devices that emulate the radiodensity of native tissues and the production of protective equipment for personnel handling radioactive materials. Three-dimensional (3D) printing is a fabrication platform that is well suited to creating complex anatomical replicas or custom labware to accomplish these radiological purposes. We created and tested multiple ABS (Acrylonitrile butadiene styrene) filaments infused with varied concentrations of bismuth (1.2-2.7 g/cm³), a radiopaque metal that is compatible with plastic infusion, to address the poor gamma radiation attenuation of many mainstream 3D printing materials. X-ray computed tomography (CT) experiments of these filaments indicated that a density of 1.2 g/cm³ of bismuth-infused ABS emulates bone radiopacity during X-ray CT imaging on preclinical and clinical scanners. ABS-bismuth filaments along with ABS were 3D printed to create an embedded human nasocranial anatomical phantom that mimicked radiological properties of native bone and soft tissue. Increasing the bismuth content in the filaments to 2.7 g/cm³ created a stable material that could attenuate 50% of 99mTechnetium gamma emission when printed with a 2.0 mm wall thickness. A shielded test tube rack was printed to attenuate source radiation as a protective measure for lab personnel. We demonstrated the utility of novel filaments to serve multiple radiological purposes, including the creation of anthropomorphic phantoms and safety labware, by tuning the level of radiation attenuation through material customization.
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Affiliation(s)
- Justin Ceh
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
| | - Tom Youd
- Turner MedTech Inc., 1119 South 1680 West, Orem, UT 84058, USA.
| | - Zach Mastrovich
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
| | - Cody Peterson
- Turner MedTech Inc., 1119 South 1680 West, Orem, UT 84058, USA.
| | - Sarah Khan
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
| | - Todd A Sasser
- Notre Dame Integrated Imaging Facility, University of Notre Dame, Notre Dame, IN 46556, USA.
- Department of Chemistry and Biochemistry, University of Notre Dame, 236 Nieuwland Science Hall, Notre Dame, IN 46556, USA.
| | - Ian M Sander
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
| | - Justin Doney
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
| | - Clark Turner
- Turner MedTech Inc., 1119 South 1680 West, Orem, UT 84058, USA.
| | - W Matthew Leevy
- Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN 46556, USA.
- Notre Dame Integrated Imaging Facility, University of Notre Dame, Notre Dame, IN 46556, USA.
- Harper Cancer Research Institute, University of Notre Dame, 1234 N Notre Dame Avenue, South Bend, IN 46617, USA.
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Gravity-Driven Adaptive Evolution of an Industrial Brewer’s Yeast Strain towards a Snowflake Phenotype in a 3D-Printed Mini Tower Fermentor. FERMENTATION-BASEL 2017. [DOI: 10.3390/fermentation3010004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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24
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Three-dimensional printing for restoration of the donor face: A new digital technique tested and used in the first facial allotransplantation patient in Finland. J Plast Reconstr Aesthet Surg 2016; 69:1648-1652. [PMID: 27789209 DOI: 10.1016/j.bjps.2016.09.021] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 07/27/2016] [Accepted: 09/26/2016] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND AIMS Prosthetic mask restoration of the donor face is essential in current facial transplant protocols. The aim was to develop a new three-dimensional (3D) printing (additive manufacturing; AM) process for the production of a donor face mask that fulfilled the requirements for facial restoration after facial harvest. MATERIALS AND METHODS A digital image of a single test person's face was obtained in a standardized setting and subjected to three different image processing techniques. These data were used for the 3D modeling and printing of a donor face mask. The process was also tested in a cadaver setting and ultimately used clinically in a donor patient after facial allograft harvest. RESULTS and Conclusions: All the three developed and tested techniques enabled the 3D printing of a custom-made face mask in a timely manner that is almost an exact replica of the donor patient's face. This technique was successfully used in a facial allotransplantation donor patient.
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25
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Possibilities of Preoperative Medical Models Made by 3D Printing or Additive Manufacturing. J Med Eng 2016; 2016:6191526. [PMID: 27433470 PMCID: PMC4940539 DOI: 10.1155/2016/6191526] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 05/23/2016] [Accepted: 06/07/2016] [Indexed: 11/27/2022] Open
Abstract
Most of the 3D printing applications of preoperative models have been focused on dental and craniomaxillofacial area. The purpose of this paper is to demonstrate the possibilities in other application areas and give examples of the current possibilities. The approach was to communicate with the surgeons with different fields about their needs related preoperative models and try to produce preoperative models that satisfy those needs. Ten different kinds of examples of possibilities were selected to be shown in this paper and aspects related imaging, 3D model reconstruction, 3D modeling, and 3D printing were presented. Examples were heart, ankle, backbone, knee, and pelvis with different processes and materials. Software types required were Osirix, 3Data Expert, and Rhinoceros. Different 3D printing processes were binder jetting and material extrusion. This paper presents a wide range of possibilities related to 3D printing of preoperative models. Surgeons should be aware of the new possibilities and in most cases help from mechanical engineering side is needed.
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26
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Lim KHA, Loo ZY, Goldie SJ, Adams JW, McMenamin PG. Use of 3D printed models in medical education: A randomized control trial comparing 3D prints versus cadaveric materials for learning external cardiac anatomy. ANATOMICAL SCIENCES EDUCATION 2016; 9:213-21. [PMID: 26468636 DOI: 10.1002/ase.1573] [Citation(s) in RCA: 217] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Revised: 09/06/2015] [Accepted: 09/12/2015] [Indexed: 05/11/2023]
Abstract
Three-dimensional (3D) printing is an emerging technology capable of readily producing accurate anatomical models, however, evidence for the use of 3D prints in medical education remains limited. A study was performed to assess their effectiveness against cadaveric materials for learning external cardiac anatomy. A double blind randomized controlled trial was undertaken on undergraduate medical students without prior formal cardiac anatomy teaching. Following a pre-test examining baseline external cardiac anatomy knowledge, participants were randomly assigned to three groups who underwent self-directed learning sessions using either cadaveric materials, 3D prints, or a combination of cadaveric materials/3D prints (combined materials). Participants were then subjected to a post-test written by a third party. Fifty-two participants completed the trial; 18 using cadaveric materials, 16 using 3D models, and 18 using combined materials. Age and time since completion of high school were equally distributed between groups. Pre-test scores were not significantly different (P = 0.231), however, post-test scores were significantly higher for 3D prints group compared to the cadaveric materials or combined materials groups (mean of 60.83% vs. 44.81% and 44.62%, P = 0.010, adjusted P = 0.012). A significant improvement in test scores was detected for the 3D prints group (P = 0.003) but not for the other two groups. The finding of this pilot study suggests that use of 3D prints do not disadvantage students relative to cadaveric materials; maximally, results suggest that 3D may confer certain benefits to anatomy learning and supports their use and ongoing evaluation as supplements to cadaver-based curriculums. Anat Sci Educ 9: 213-221. © 2015 American Association of Anatomists.
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Affiliation(s)
- Kah Heng Alexander Lim
- Centre for Human Anatomy Education, Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Zhou Yaw Loo
- Centre for Human Anatomy Education, Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Stephen J Goldie
- Department of Medicine, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton Campus, Victoria, Australia
| | - Justin W Adams
- Centre for Human Anatomy Education, Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Paul G McMenamin
- Centre for Human Anatomy Education, Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
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