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Wakjira Y, Kurukkal NS, Lemu HG. Assessment of the accuracy of 3D printed medical models through reverse engineering. Heliyon 2024; 10:e31829. [PMID: 38845933 PMCID: PMC11153247 DOI: 10.1016/j.heliyon.2024.e31829] [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] [Received: 09/26/2023] [Revised: 05/12/2024] [Accepted: 05/22/2024] [Indexed: 06/09/2024] Open
Abstract
The dimensional accuracy of additively manufactured (3D printed) medical models can be affected by various parameters. Although different methods are used to evaluate the accuracy of additively manufactured models, this study focused on the investigation of the dimensional accuracy of the medical model based the combination of reverse engineering (RE) and additive manufacturing (AM) technologies. Human femur bone was constructed from CT images and manufactured, using Fortus 450mc Industrial material extrusion 3D Printer. The additive manufactured femur bone was subsequently 3D scanned using three distinct non-contact 3D scanners. MeshLab was used for mesh analysis, while VX Elements was used for post-processing of the point cloud. A combination of the VX Inspect environment and MeshLab was used to evaluate the scanning performance. The deviation of the 3D scanned 3D models from the reference mesh was determined using relative metrics and absolute measurements. The scanners reported deviations ranging from -0.375 mm to 0.388 mm, resulting in a total range of approximately 0.763 mm with average root mean square (RMS) deviation of 0.22 mm. The results indicate that the additively manufactured model, as measured by 3D scanning, has a mean deviation with an average range of approximately 0.46 mm and an average mean value of around 0.16 mm.
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Affiliation(s)
- Yosef Wakjira
- University of Stavanger, Faculty of Science and Technology, Department of Mechanical and Structural Engineering and Materials Science, Kjell Arholms Gate 41, 4021, Stavanger, Norway
| | - Navaneethan S. Kurukkal
- University of Stavanger, Faculty of Science and Technology, Department of Mechanical and Structural Engineering and Materials Science, Kjell Arholms Gate 41, 4021, Stavanger, Norway
| | - Hirpa G. Lemu
- University of Stavanger, Faculty of Science and Technology, Department of Mechanical and Structural Engineering and Materials Science, Kjell Arholms Gate 41, 4021, Stavanger, Norway
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Kamburoğlu K, Sönmez G, Koç C, Yılmaz F, Tunç O, Isayev A. Access Cavity Preparation and Localization of Root Canals Using Guides in 3D-Printed Teeth with Calcified Root Canals: An In Vitro CBCT Study. Diagnostics (Basel) 2023; 13:2215. [PMID: 37443609 DOI: 10.3390/diagnostics13132215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/26/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
Pulp canal obliteration (PCO) is a significant complication in endodontics that can occur due to various factors. Cone beam computed tomography (CBCT) is a useful diagnostic tool for identifying root canal anatomy and variations, and guided endodontics is emerging as an alternative treatment solution for teeth with partially or entirely obliterated pulpal canals. However, the accuracy of CBCT-guided 3D-printed guides on different materials and layer thicknesses is not well understood. Therefore, this study aimed to evaluate the accuracy of guides prepared using CBCT images on 3D-printed teeth with stereolithography (SLA) using three different materials and two different layer thicknesses. This study found that 3D-printed guides were accurate and reliable for accessing 3D-manufactured obliterated teeth and reaching the apical area. No significant differences in distance or angle measurements were found when different guide materials were used, suggesting that materials can be selected based on availability and cost. These findings contribute to the knowledge base regarding the effectiveness of 3D printing technology in guided endodontics and can help to identify the most suitable materials and techniques for this application.
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Affiliation(s)
- Kıvanç Kamburoğlu
- Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, 06560 Ankara, Turkey
| | - Gül Sönmez
- Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ada Kent University, 33010 Mersin, Turkey
| | - Cemre Koç
- Department of Endodontics, Faculty of Dentistry, Adnan Menderes University, 09010 Aydın, Turkey
| | - Funda Yılmaz
- Department of Endodontics, Faculty of Dentistry, Ankara University, 06500 Ankara, Turkey
| | - Osman Tunç
- BTech Innovation, Teknokent METU, 06800 Ankara, Turkey
| | - Abulfaz Isayev
- School of Dental Medicine, Boston University, Boston, MA 02118, USA
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3
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Mendonça CJA, Gasoto SC, Belo IM, Setti JAP, Soni JF, Júnior BS. Application of 3D Printing Technology in the Treatment of Hoffa's Fracture Nonunion. Rev Bras Ortop 2023; 58:303-312. [PMID: 37252303 PMCID: PMC10212646 DOI: 10.1055/s-0042-1750760] [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: 03/01/2022] [Accepted: 04/28/2022] [Indexed: 11/06/2022] Open
Abstract
Objective To evaluate a proposed three-dimensional (3D) printing process of a biomodel developed with the aid of fused deposition modeling (FDM) technology based on computed tomography (CT) scans of an individual with nonunion of a coronal femoral condyle fracture (Hoffa's fracture). Materials and Methods Thus, we used CT scans, which enable the evaluation of the 3D volumetric reconstruction of the anatomical model, as well as of the architecture and bone geometry of sites with complex anatomy, such as the joints. In addition, it enables the development of the virtual surgical planning (VSP) in a computer-aided design (CAD) software. This technology makes it possible to print full-scale anatomical models that can be used in surgical simulations for training and in the choice of the best placement of the implant according to the VSP. In the radiographic evaluation of the osteosynthesis of the Hoffa's fracture nonunion, we assessed the position of the implant in the 3D-printed anatomical model and in the patient's knee. Results The 3D-printed anatomical model showed geometric and morphological characteristics similar to those of the actual bone. The position of the implants in relation to the nonunion line and anatomical landmarks showed great accuracy in the comparison of the patient's knee with the 3D-printed anatomical model. Conclusion The use of the virtual anatomical model and the 3D-printed anatomical model with the additive manufacturing (AM) technology proved to be effective and useful in planning and performing the surgical treatment of Hoffa's fracture nonunion. Thus, it showed great accuracy in the reproducibility of the virtual surgical planning and the 3D-printed anatomical model.
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Affiliation(s)
- Celso Júnio Aguiar Mendonça
- Unidade do Sistema Musculoesquelético, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brasil
- Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
| | - Sidney Carlos Gasoto
- Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
| | - Ivan Moura Belo
- Programa de Pós-Graduação em Engenharia Biomédica, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
| | - João Antônio Palma Setti
- Programa de Pós-Graduação em Engenharia Biomédica, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
| | - Jamil Faissal Soni
- Unidade do Sistema Musculoesquelético, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brasil
- Hospital Universitário Cajuru, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brasil
| | - Bertoldo Schneider Júnior
- Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
- Programa de Pós-Graduação em Engenharia Biomédica, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brasil
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Mendonça CJA, Guimarães RMDR, Pontim CE, Gasoto SC, Setti JAP, Soni JF, Schneider B. An Overview of 3D Anatomical Model Printing in Orthopedic Trauma Surgery. J Multidiscip Healthc 2023; 16:875-887. [PMID: 37038452 PMCID: PMC10082616 DOI: 10.2147/jmdh.s386406] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/09/2022] [Indexed: 04/12/2023] Open
Abstract
Introduction 3D object printing technology is a resource increasingly used in medicine in recent years, mainly incorporated in surgical areas like orthopedics. The models made by 3D printing technology provide surgeons with an accurate analysis of complex anatomical structures, allowing the planning, training, and surgery simulation. In orthopedic surgery, this technique is especially applied in oncological surgeries, bone, and joint reconstructions, and orthopedic trauma surgeries. In these cases, it is possible to prototype anatomical models for surgical planning, simulating, and training, besides printing of instruments and implants. Purpose The purpose of this paper is to describe the acquisition and processing from computed tomography images for 3D printing, to describe modeling and the 3D printing process of the biomodels in real size. This paper highlights 3D printing with the applicability of the 3D biomodels in orthopedic surgeries and shows some examples of surgical planning in orthopedic trauma surgery. Patients and Methods Four examples were selected to demonstrate the workflow and rationale throughout the process of planning and printing 3D models to be used in a variety of situations in orthopedic trauma surgeries. In all cases, the use of 3D modeling has impacted and improved the final treatment strategy. Conclusion The use of the virtual anatomical model and the 3D printed anatomical model with the additive manufacturing technology proved to be effective and useful in planning and performing the surgical treatment of complex articular fractures, allowing surgical planning both virtual and with the 3D printed anatomical model, besides being useful during the surgical time as a navigation instrument.
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Affiliation(s)
- Celso Junio Aguiar Mendonça
- Musculoskeletal System Unit, Hospital of Federal University of Paraná, Curitiba, Paraná, Brazil
- Postgraduate Program in Electrical Engineering and Industrial Informatics, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
- Correspondence: Celso Junio Aguiar Mendonça, Postgraduate Program in Electrical Engineering and Industrial Informatics – CPGEI, Federal Technological University of Paraná – UTFPR, Av. Sete de Setembro, 3165 – Rebouças, Curitiba, Paraná, 80230-901, Brazil, Tel +55 41 999973900, Email
| | - Ricardo Munhoz da Rocha Guimarães
- Cajuru University Hospital, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
- Postgraduate Program in Biomedical Engineering, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Carlos Eduardo Pontim
- Postgraduate Program in Biomedical Engineering, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Sidney Carlos Gasoto
- Postgraduate Program in Electrical Engineering and Industrial Informatics, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
| | - João Antonio Palma Setti
- Postgraduate Program in Biomedical Engineering, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Jamil Faissal Soni
- Musculoskeletal System Unit, Hospital of Federal University of Paraná, Curitiba, Paraná, Brazil
- Cajuru University Hospital, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
| | - Bertoldo Schneider
- Postgraduate Program in Electrical Engineering and Industrial Informatics, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
- Postgraduate Program in Biomedical Engineering, Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil
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Sharaf B, Leon DE, Wagner L, Morris JM, Salinas CA. Virtual Planning and 3D Printing in the Management of Acute Orbital Fractures and Post-Traumatic Deformities. Semin Plast Surg 2022; 36:149-157. [PMID: 36506274 PMCID: PMC9729060 DOI: 10.1055/s-0042-1754387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Virtual surgical planning (VSP) and three-dimensional (3D) printing have advanced surgical reconstruction of orbital defects. Individualized 3D models of patients' orbital bony and soft tissues provide the surgeon with corrected orbital volume based on normalized anatomy, precise location of critical structures, and when needed a better visualization of the defect or altered anatomy that are paramount in preoperative planning. The use of 3D models preoperatively allows surgeons to improve the accuracy and safety of reconstruction, reduces intraoperative time, and most importantly lowers the rate of common postoperative complications, including over- or undercontouring of plates, orbital implant malposition, enophthalmos, and hypoglobus. As 3D printers and materials become more accessible and cheaper, the utility of printing patient-specific implants becomes more feasible. This article summarizes the traditional surgical management of orbital fractures and reviews advances in VSP and 3D printing in this field. It also discusses the use of in-house (point-of-care) VSP and 3D printing to further advance care of acute orbital trauma and posttraumatic deformities.
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Affiliation(s)
- Basel Sharaf
- Division of Plastic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Daniel E. Leon
- Division of Plastic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Lilly Wagner
- Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota
| | - Jonathan M. Morris
- Department of Radiology, Anatomic Modeling Unit, Mayo Clinic, Rochester, Minnesota
| | - Cristina A. Salinas
- Division of Plastic Surgery, Mayo Clinic, Rochester, Minnesota,Address for correspondence Basel Sharaf, MD, DDS, FACS Division of Plastic surgery, Department of Surgery, Mayo Clinic200 First Street SW, Rochester, MN 55905
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Radzi S, Chandrasekaran R, Peh ZK, Rajalingam P, Yeong WY, Mogali SR. Students' learning experiences of three-dimensional printed models and plastinated specimens: a qualitative analysis. BMC MEDICAL EDUCATION 2022; 22:695. [PMID: 36171608 PMCID: PMC9520930 DOI: 10.1186/s12909-022-03756-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 09/16/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Traditional cadaveric dissection is declining whilst plastinated and three-dimensional printed (3DP) models are increasingly popular as substitutes to the conventional anatomy teaching and learning methods. It is unclear about the pros and cons of these new tools and how they impact students' learning experiences of anatomy including humanistic values such as respect, care and empathy. METHODS: Ninety-six students' views were sought immediately after a randomized cross-over study. Pragmatic design was used to investigate the learning experiences of using plastinated and 3DP models of cardiac (in Phase 1, n = 63) and neck (in Phase 2, n = 33) anatomy. Inductive thematic analysis was conducted based on 278 free text comments (related to strengths, weaknesses, things to improve), and focus group (n = 8) transcriptions in full verbatim about learning anatomy with these tools. RESULTS Four themes were found: perceived authenticity, basic understanding versus complexity, attitudes towards respect and care, and multimodality and guidance. CONCLUSIONS Overall, students perceived plastinated specimens as more real and authentic, thus perceived more respect and care than 3DP models; whereas 3DP models were easy to use and prefered for learning basic anatomy.
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Affiliation(s)
- Shairah Radzi
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Ramya Chandrasekaran
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Zhen Kai Peh
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Preman Rajalingam
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Wai Yee Yeong
- Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University Singapore, Singapore, Singapore
| | - Sreenivasulu Reddy Mogali
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
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7
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Shen Z, Xie Y, Shang X, Xiong G, Chen S, Yao Y, Pan Z, Pan H, Dong X, Li Y, Guo C, Wang FY. The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery. Technol Health Care 2021; 28:131-150. [PMID: 32364146 PMCID: PMC7369091 DOI: 10.3233/thc-209014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Endoscopic endonasal transsphenoidal pituitary surgery is usually difficult and risky. With limited sources of cadaveric skulls, traditional methods of using virtual images to study the surgery are difficult for neurosurgeons and students because the surgery requires spatial imagination and good understanding of the patient's conditions as well as practical experience. The three-dimensional (3D) printing technique has played an important role in clinical medicine due to its advantages of low cost, high-efficiency and customization. OBJECTIVE CT images are used as the source data of 3D printing. The data obtained directly from the CT machine has limited accuracy, which cannot be printed without processing. Some commercial platforms can help build an accurate model but the cost and customization are not satisfactory. In this situation, a tactile, precise and low-cost 3D model is highly desirable. METHODS Five kinds of computer software are used in the manufacturing of medical 3D models and the processing procedure is easy to understand and operate. RESULTS This study proposes a practical and cost-effective method to obtain the corrected digital model and produce the 3D printed skull with complete structures of nasal cavity, sellar region and different levels of pituitary tumors. The model is used for the endoscopic endonasal transsphenoidal pituitary surgery preparation. CONCLUSION The 3D printed medical model can directly help neurosurgeons and medical students to practice their surgery skills on both general and special cases with customized structures and different levels of tumors.
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Affiliation(s)
- Zhen Shen
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,Qingdao Academy of Intelligent Industries, Qingdao, Shandong 266109, China.,State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yi Xie
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Xiuqin Shang
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, Guangdong 523808, China
| | - Gang Xiong
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, Guangdong 523808, China
| | - Shi Chen
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Yong Yao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Zhouxian Pan
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Hui Pan
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xisong Dong
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, Guangdong 523808, China
| | - Yuqing Li
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Chao Guo
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of the Chinese Academy of Sciences, Beijing 101408, China
| | - Fei-Yue Wang
- State Key Laboratory for Management and Control of Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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Noël GPJC, Ding W, Steinmetz P. 3D Printed Heart Models Illustrating Myocardial Perfusion Territories to Augment Echocardiography and Electrocardiography Interpretation. MEDICAL SCIENCE EDUCATOR 2021; 31:439-446. [PMID: 34457902 PMCID: PMC8368875 DOI: 10.1007/s40670-020-01177-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/20/2020] [Indexed: 06/13/2023]
Abstract
Visualizing the vascular territories of coronary arteries during echocardiography or electrocardiography (ECG) requires trainees to mentally relate and overlay 2D sonographic images or cardiac lead projections with 3D anatomical representations of the ventricular walls and their respective blood supply. To facilitate the acquisition of these competencies, this study focuses on the feasibility of developing low-cost, open-sourced 3D printed heart models with standard ultrasound views or ECG lead projections illustrating the myocardial perfusion territories. A 3D digital heart model was cut to reflect the typical cardiac ultrasound views. The 4-chamber view model was further punctured for the paths of the precordial and limb leads of an ECG. Painting coronary arteries on the surface and internal views of the 3D prints illustrated vessel territories. Students, residents, and staff were surveyed during bedside ultrasound simulation sessions and ECG teaching half-days. Results demonstrated clear appreciation of 3D printed models, which suggests such models can easily be implemented by other institutions to augment trainees' experience during skill acquisition.
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Affiliation(s)
- Geoffroy P. J. C. Noël
- Department of Anatomy and Cell Biology, Faculty of Medicine, McGill University, Strathcona Anatomy Building, 3640 University Street, Montreal, QC H3A 0C7 Canada
- Institute of Health Science Education, Faculty of Medicine, McGill University, Montreal, Canada
| | - Weimeng Ding
- Undergraduate Education, Faculty of Medicine, McGill University, Montreal, Canada
| | - Peter Steinmetz
- Department of Family Medicine, Faculty of Medicine, McGill University, Montreal, QC Canada
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Chen S, Zhu J, Cheng C, Pan Z, Liu L, Du J, Shen X, Shen Z, Zhu H, Liu J, Yang H, Ma C, Pan H. Can virtual reality improve traditional anatomy education programmes? A mixed-methods study on the use of a 3D skull model. BMC MEDICAL EDUCATION 2020; 20:395. [PMID: 33129310 PMCID: PMC7603711 DOI: 10.1186/s12909-020-02255-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 09/24/2020] [Indexed: 05/17/2023]
Abstract
BACKGROUND Realistic, portable, and scalable lectures, cadaveric models, 2D atlases and computer simulations are being combined more frequently for teaching anatomy, which result in major increases in user satisfaction. However, although digital simulations may be more portable, interesting, or motivating than traditional teaching tools, whether they are superior in terms of student learning remain unclear. This paper presents a study in which the educational effectiveness of a virtual reality (VR) skull model is compared with that of cadaveric skulls and atlases. The aim of this study was to compare the results of teaching with VR to results of teaching with traditional teaching methods by administering objective questionnaires and perception surveys. METHODS A mixed-methods study with 73 medical students was conducted with three different groups, namely, the VR group (N = 25), cadaver group (N = 25) and atlas group (N = 23). Anatomical structures were taught through an introductory lecture and model-based learning. All students completed the pre- and post-intervention tests, which comprised a theory test and an identification test. The theory test consisted of 18 multiple-choice questions, and the identification test consisted of 25 fill-in-the-blank questions. RESULTS The participants in all three groups had significantly higher total scores on the post-intervention test than on the pre-intervention test; the post-intervention test score in the VR group was not statistically significantly higher than the post-intervention test score of the other groups (VR: 30 [IQR: 22-33.5], cadaver: 26 [IQR: 20-31.5], atlas: 28[IQR: 20-33]; p > 0.05). The participants in the VR and cadaver groups provided more positive feedback on their learning models than the atlas group (VR: 26 [IQR: 19-30], cadaver: 25 [IQR: 19.5-29.5], atlas: 12 [IQR: 9-20]; p < 0.001). CONCLUSIONS The skull virtual learning resource (VLR) was equally efficient as the cadaver skull and atlas in teaching anatomy structures. Such a model can aid individuals in understanding complex anatomical structures with a higher level of motivation and tolerable adverse effects.
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Affiliation(s)
- Shi Chen
- Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, Peking Union Medical College Hospital (PUMCH), Chinese Academe of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
- National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Jiawei Zhu
- Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Cheng Cheng
- Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Zhouxian Pan
- Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Lingshan Liu
- Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Jianhua Du
- Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Xinhua Shen
- Department of Human Anatomy, Histology and Embryology, Institute of Basic Medical Sciences, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China
| | - Zhen Shen
- The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Automation, Chinese Academy of Sciences (CASIA), Beijing, 100190, China
| | - Huijuan Zhu
- Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, Peking Union Medical College Hospital (PUMCH), Chinese Academe of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China
| | - Jihai Liu
- National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC, Beijing, 100730, China
- Department of Emergency, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Hua Yang
- National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC, Beijing, 100730, China
- Department of Otolaryngology-Head and Neck Surgery, PUMCH, CAMS & PUMC, Beijing, 100730, China
| | - Chao Ma
- Department of Human Anatomy, Histology and Embryology, Institute of Basic Medical Sciences, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China
| | - Hui Pan
- Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, Peking Union Medical College Hospital (PUMCH), Chinese Academe of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China.
- Medical Department, PUMCH, CAMS & PUMC, Beijing, 100730, China.
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10
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Haghiashtiani G, Qiu K, Zhingre Sanchez JD, Fuenning ZJ, Nair P, Ahlberg SE, Iaizzo PA, McAlpine MC. 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications. SCIENCE ADVANCES 2020; 6:eabb4641. [PMID: 32923641 PMCID: PMC7455187 DOI: 10.1126/sciadv.abb4641] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/06/2020] [Indexed: 06/11/2023]
Abstract
Minimally invasive surgeries have numerous advantages, yet complications may arise from limited knowledge about the anatomical site targeted for the delivery of therapy. Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure for treating aortic stenosis. Here, we demonstrate multimaterial three-dimensional printing of patient-specific soft aortic root models with internally integrated electronic sensor arrays that can augment testing for TAVR preprocedural planning. We evaluated the efficacies of the models by comparing their geometric fidelities with postoperative data from patients, as well as their in vitro hemodynamic performances in cases with and without leaflet calcifications. Furthermore, we demonstrated that internal sensor arrays can facilitate the optimization of bioprosthetic valve selections and in vitro placements via mapping of the pressures applied on the critical regions of the aortic anatomies. These models may pave exciting avenues for mitigating the risks of postoperative complications and facilitating the development of next-generation medical devices.
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Affiliation(s)
- Ghazaleh Haghiashtiani
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Kaiyan Qiu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jorge D. Zhingre Sanchez
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
- Department of Surgery, University of Minnesota, Minneapolis, MN 55455, USA
| | - Zachary J. Fuenning
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | | | | | - Paul A. Iaizzo
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
- Department of Surgery, University of Minnesota, Minneapolis, MN 55455, USA
- Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN 55455, USA
| | - Michael C. McAlpine
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
- Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN 55455, USA
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11
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Karakas AB, Govsa F, Ozer MA, Eraslan C. 3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses. J Digit Imaging 2020; 32:314-321. [PMID: 30242780 DOI: 10.1007/s10278-018-0125-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The three-dimensional (3D) visualization of dural venous sinuses (DVS) networks is desired by surgical trainers to create a clear mental picture of the neuroanatomical orientation of the complex cerebral anatomy. Our purpose is to document those identified during routine 3D venography created through 3D models using two-dimensional axial images for teaching and learning neuroanatomy. Anatomical data were segmented and extracted from imaging of the DVS of healthy people. The digital data of the extracted anatomical surfaces was then edited and smoothed, resulting in a set of digital 3D models of the superior sagittal, inferior sagittal, transverse, and sigmoid, rectus sinuses, and internal jugular veins. A combination of 3D printing technology and casting processes led to the creation of realistic neuroanatomical models that include high-fidelity reproductions of the neuroanatomical features of DVS. The life-size DVS training models were provided good detail and representation of the spatial distances. Geometrical details between the neighboring of DVS could be easily manipulated and explored from different angles. A graspable, patient-specific, 3D-printed model of DVS geometry could provide an improved understanding of the complex brain anatomy. These models have various benefits such as the ability to adjust properties, to convert two-dimension images of the patient into three-dimension images, to have different color options, and to be economical. Neuroanatomy experts can model such as the reliability and validity of the designed models, enhance patient satisfaction with improved clinical examination, and demonstrate clinical interventions by simulation; thus, they teach neuroanatomy training with effective teaching styles.
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Affiliation(s)
- Asli Beril Karakas
- Digital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Figen Govsa
- Digital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey.
- Department of Anatomy, Faculty of Medicine, Ege University, TR-35100, Izmir, Turkey.
| | - Mehmet Asım Ozer
- Digital Imaging and 3D Modelling Laboratory, Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Cenk Eraslan
- Department of Radiology Faculty of Medicine, Ege University, Izmir, Turkey
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12
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Gardin C, Ferroni L, Latremouille C, Chachques JC, Mitrečić D, Zavan B. Recent Applications of Three Dimensional Printing in Cardiovascular Medicine. Cells 2020; 9:E742. [PMID: 32192232 PMCID: PMC7140676 DOI: 10.3390/cells9030742] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/06/2020] [Accepted: 03/09/2020] [Indexed: 12/20/2022] Open
Abstract
Three dimensional (3D) printing, which consists in the conversion of digital images into a 3D physical model, is a promising and versatile field that, over the last decade, has experienced a rapid development in medicine. Cardiovascular medicine, in particular, is one of the fastest growing area for medical 3D printing. In this review, we firstly describe the major steps and the most common technologies used in the 3D printing process, then we present current applications of 3D printing with relevance to the cardiovascular field. The technology is more frequently used for the creation of anatomical 3D models useful for teaching, training, and procedural planning of complex surgical cases, as well as for facilitating communication with patients and their families. However, the most attractive and novel application of 3D printing in the last years is bioprinting, which holds the great potential to solve the ever-increasing crisis of organ shortage. In this review, we then present some of the 3D bioprinting strategies used for fabricating fully functional cardiovascular tissues, including myocardium, heart tissue patches, and heart valves. The implications of 3D bioprinting in drug discovery, development, and delivery systems are also briefly discussed, in terms of in vitro cardiovascular drug toxicity. Finally, we describe some applications of 3D printing in the development and testing of cardiovascular medical devices, and the current regulatory frameworks that apply to manufacturing and commercialization of 3D printed products.
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Affiliation(s)
- Chiara Gardin
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola (RA), Italy; (C.G.); (L.F.)
- Department of Medical Sciences, University of Ferrara, via Fossato di Mortara 70, 44121 Ferrara, Italy
| | - Letizia Ferroni
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola (RA), Italy; (C.G.); (L.F.)
- Department of Medical Sciences, University of Ferrara, via Fossato di Mortara 70, 44121 Ferrara, Italy
| | - Christian Latremouille
- Department of Cardiac Surgery Pompidou Hospital, Laboratory of Biosurgical Research, Carpentier Foundation, University Paris Descartes, 75105 Paris, France; (C.L.); (J.C.C.)
| | - Juan Carlos Chachques
- Department of Cardiac Surgery Pompidou Hospital, Laboratory of Biosurgical Research, Carpentier Foundation, University Paris Descartes, 75105 Paris, France; (C.L.); (J.C.C.)
| | - Dinko Mitrečić
- Laboratory for Stem Cells, Croatian Institute for Brain Research, School of Medicine University of Zagreb, Šalata 12, 10 000 Zagreb, Croatia;
| | - Barbara Zavan
- Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola (RA), Italy; (C.G.); (L.F.)
- Department of Medical Sciences, University of Ferrara, via Fossato di Mortara 70, 44121 Ferrara, Italy
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13
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Li QY, Zhang Q, Yan C, He Y, Phillip M, Li F, Pan AH. Evaluating phone camera and cloud service-based 3D imaging and printing of human bones for anatomical education. BMJ Open 2020; 10:e034900. [PMID: 32041863 PMCID: PMC7044880 DOI: 10.1136/bmjopen-2019-034900] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To evaluate the feasibility of a phone camera and cloud service-based workflow to image bone specimens and print their three-dimensional (3D) models for anatomical education. DESIGN The images of four typical human bone specimens, photographed by a phone camera, were aligned and converted into digital images for incorporation into a digital model through the Get3D website and submitted to an online 3D printing platform to obtain the 3D printed models. The fidelity of the 3D digital, printed models relative to the original specimens, was evaluated through anatomical annotations and 3D scanning. SETTING The Morphologic Science Experimental Center, Central South University, China. PARTICIPANTS Specimens of four typical bones-the femur, rib, cervical vertebra and skull-were used to evaluate the feasibility of the workflow. OUTCOME MEASURES The gross fidelity of anatomical features within the digital models and 3D printed models was evaluated first using anatomical annotations in reference to Netter's Atlas of Human Anatomy. The measurements of the deviation were quantised and visualised for analysis in Geomagic Control 2015. RESULTS All the specimens were reconstructed in 3D and printed using this workflow. The overall morphology of the digital and 3D printed models displayed a large extent of similarity to the corresponding specimens from a gross anatomical perspective. A high degree of similarity was also noticed in the quantitative analysis, with distance deviations ≤2 mm present among 99% of the random sampling points that were tested. CONCLUSION The photogrammetric digitisation workflow adapted in the present study demonstrates fairly high precision with relatively low cost and fewer equipment requirements. This workflow is expected to be used in morphological/anatomical science education, particularly in institutions and schools with limited funds or in certain field research projects involving the fast acquisition of 3D digital data on human/animal bone specimens or on other remains.
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Affiliation(s)
- Qing-Yun Li
- Department of Human Anatomy and Neurobiology, and Morphologic Science Experimental Center, School of Basic Medical Science, Central South University, Changsha, China
- Class of 2020, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Qi Zhang
- Department of Human Anatomy and Neurobiology, and Morphologic Science Experimental Center, School of Basic Medical Science, Central South University, Changsha, China
| | - Chun Yan
- Department of Human Anatomy and Neurobiology, and Morphologic Science Experimental Center, School of Basic Medical Science, Central South University, Changsha, China
| | - Ye He
- Aier School of Ophthalmology, Central South University, Changsha, China
| | - Mukuze Phillip
- Class of 2020, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Fang Li
- Department of Human Anatomy and Neurobiology, and Morphologic Science Experimental Center, School of Basic Medical Science, Central South University, Changsha, China
| | - Ai-Hua Pan
- Department of Human Anatomy and Neurobiology, and Morphologic Science Experimental Center, School of Basic Medical Science, Central South University, Changsha, China
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14
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Kimura SI, Ishikawa T, Iwao Y, Itai S, Kondo H. Fabrication of Zero-Order Sustained-Release Floating Tablets via Fused Depositing Modeling 3D Printer. Chem Pharm Bull (Tokyo) 2019; 67:992-999. [DOI: 10.1248/cpb.c19-00290] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Shin-ichiro Kimura
- Department of Pharmaceutical Engineering and Drug Delivery Science, School of Pharmaceutical Sciences, University of Shizuoka
| | - Taichi Ishikawa
- Department of Pharmaceutical Engineering and Drug Delivery Science, School of Pharmaceutical Sciences, University of Shizuoka
| | - Yasunori Iwao
- Department of Pharmaceutical Engineering and Drug Delivery Science, School of Pharmaceutical Sciences, University of Shizuoka
| | - Shigeru Itai
- Department of Pharmaceutical Engineering and Drug Delivery Science, School of Pharmaceutical Sciences, University of Shizuoka
| | - Hiromu Kondo
- Department of Pharmaceutical Engineering and Drug Delivery Science, School of Pharmaceutical Sciences, University of Shizuoka
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15
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Lezama-Del Valle P, Krauel L, LaQuaglia MP. Error traps and culture of safety in pediatric surgical oncology. Semin Pediatr Surg 2019; 28:164-171. [PMID: 31171152 DOI: 10.1053/j.sempedsurg.2019.04.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
This article reviews technical issues to improve surgical safety and avoid surgical errors in pediatric surgical oncology, particularly in the three most common extracranial solid tumors: neuroblastoma, hepatoblastoma and Wilms tumor. The use of adjuvant chemotherapy - when indicated - the use of tumor specific classifications, adequate surgical planning, that may include the use of 3D printable models, improved surgical instruments and technology, and following surgical guidelines, would result in avoiding error, increased safety, and therefore in improved surgical outcomes.
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Affiliation(s)
- Pablo Lezama-Del Valle
- Surgical Oncology Service, Department of General Surgery, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.
| | - Lucas Krauel
- Pediatric Surgical Oncology Unit, Department of Pediatric Surgery, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain
| | - Michael P LaQuaglia
- Pediatric Surgical Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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16
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Shen Z, Yao Y, Xie Y, Guo C, Shang X, Dong X, Li Y, Pan Z, Chen S, Xiong G, Wang FY, Pan H. The process of 3D printed skull models for anatomy education. Comput Assist Surg (Abingdon) 2019; 24:121-130. [PMID: 31012745 DOI: 10.1080/24699322.2018.1560101] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Abstract
In general, the 3 D printed medical models are made based on virtual digital models obtained from machines such as the computed tomography scanner. However, due to the limited accuracy of CT scanning technology, which is usually 1 millimeter, there are differences between scanned results and the real structure. Besides, the collected data can hardly be printed directly because of some errors in the model. In this paper, we present a general and efficient procedure to process the digital skull data to make the printed structures meet the requirements of anatomy education, which combines the use of five 3 D manipulation tools and the procedure can be finished within 6 hours. Then the model is printed and compared with the cadaveric skull from frontal, left, right and anterior views respectively. The printed model can describe the correct structure and details of the skull clearly, which can be considered as a good alternative to the cadaveric skull. The manipulation procedure presented in this study is an easily available and cost-effective way to obtain a printed skull model from the original CT data, which has a considerable economic and social benefit for the medical education. The steps of the data processing can be performed easily. The cost for the 3 D printed model is also low. Outcomes of this study can be applied widely in processing skull data.
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Affiliation(s)
- Zhen Shen
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,Qingdao Academy of Intelligent Industries , Qingdao , China
| | - Yong Yao
- Department of Neurosurgery, Peking Union Medical College Hospital (PUMCH) Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) , Beijing , China
| | - Yi Xie
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,School of Electrical & Electronic Engineering, University of Manchester , Manchester , UK
| | - Chao Guo
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,University of Chinese Academy of Sciences , Beijing , China
| | - Xiuqin Shang
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China
| | - Xisong Dong
- Qingdao Academy of Intelligent Industries , Qingdao , China.,Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China
| | - Yuqing Li
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,College of Information Science and Technology, Beijing University of Chemical Technology , Beijing , China
| | - Zhouxian Pan
- PUMCH CAMS & PUMC, Eight-year Program of Clinical Medicine , Beijing , China
| | - Shi Chen
- Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, PUMCH, CAMS & PUMC , Beijing , China.,National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC , Beijing , China
| | - Gang Xiong
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China.,Cloud Computing Center, Chinese Academy of Sciences , Dongguan , China
| | - Fei-Yue Wang
- The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences (CASIA) , Beijing , China
| | - Hui Pan
- Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, PUMCH, CAMS & PUMC , Beijing , China.,National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC , Beijing , China.,Department of Education, PUMCH, CAMS & PUMC , Beijing , China
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17
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Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
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Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
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18
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Qiu K, Haghiashtiani G, McAlpine MC. 3D Printed Organ Models for Surgical Applications. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2018; 11:287-306. [PMID: 29589961 PMCID: PMC6082023 DOI: 10.1146/annurev-anchem-061417-125935] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Medical errors are a major concern in clinical practice, suggesting the need for advanced surgical aids for preoperative planning and rehearsal. Conventionally, CT and MRI scans, as well as 3D visualization techniques, have been utilized as the primary tools for surgical planning. While effective, it would be useful if additional aids could be developed and utilized in particularly complex procedures involving unusual anatomical abnormalities that could benefit from tangible objects providing spatial sense, anatomical accuracy, and tactile feedback. Recent advancements in 3D printing technologies have facilitated the creation of patient-specific organ models with the purpose of providing an effective solution for preoperative planning, rehearsal, and spatiotemporal mapping. Here, we review the state-of-the-art in 3D printed, patient-specific organ models with an emphasis on 3D printing material systems, integrated functionalities, and their corresponding surgical applications and implications. Prior limitations, current progress, and future perspectives in this important area are also broadly discussed.
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Affiliation(s)
- Kaiyan Qiu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;
| | - Ghazaleh Haghiashtiani
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;
| | - Michael C McAlpine
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;
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19
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Wallner J, Hochegger K, Chen X, Mischak I, Reinbacher K, Pau M, Zrnc T, Schwenzer-Zimmerer K, Zemann W, Schmalstieg D, Egger J. Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. PLoS One 2018; 13:e0196378. [PMID: 29746490 PMCID: PMC5944980 DOI: 10.1371/journal.pone.0196378] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 04/12/2018] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Computer assisted technologies based on algorithmic software segmentation are an increasing topic of interest in complex surgical cases. However-due to functional instability, time consuming software processes, personnel resources or licensed-based financial costs many segmentation processes are often outsourced from clinical centers to third parties and the industry. Therefore, the aim of this trial was to assess the practical feasibility of an easy available, functional stable and licensed-free segmentation approach to be used in the clinical practice. MATERIAL AND METHODS In this retrospective, randomized, controlled trail the accuracy and accordance of the open-source based segmentation algorithm GrowCut was assessed through the comparison to the manually generated ground truth of the same anatomy using 10 CT lower jaw data-sets from the clinical routine. Assessment parameters were the segmentation time, the volume, the voxel number, the Dice Score and the Hausdorff distance. RESULTS Overall semi-automatic GrowCut segmentation times were about one minute. Mean Dice Score values of over 85% and Hausdorff Distances below 33.5 voxel could be achieved between the algorithmic GrowCut-based segmentations and the manual generated ground truth schemes. Statistical differences between the assessment parameters were not significant (p<0.05) and correlation coefficients were close to the value one (r > 0.94) for any of the comparison made between the two groups. DISCUSSION Complete functional stable and time saving segmentations with high accuracy and high positive correlation could be performed by the presented interactive open-source based approach. In the cranio-maxillofacial complex the used method could represent an algorithmic alternative for image-based segmentation in the clinical practice for e.g. surgical treatment planning or visualization of postoperative results and offers several advantages. Due to an open-source basis the used method could be further developed by other groups or specialists. Systematic comparisons to other segmentation approaches or with a greater data amount are areas of future works.
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Affiliation(s)
- Jürgen Wallner
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
- Computer Algorithms for Medicine (Cafe) Laboratory, Graz, Austria
| | - Kerstin Hochegger
- Computer Algorithms for Medicine (Cafe) Laboratory, Graz, Austria
- Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16c/II, Graz, Austria
| | - Xiaojun Chen
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Irene Mischak
- Department of Dental Medicine and Oral Health, Medical University of Graz, Billrothgasse 4, Graz, Austria
| | - Knut Reinbacher
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
| | - Mauro Pau
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
| | - Tomislav Zrnc
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
| | - Katja Schwenzer-Zimmerer
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
| | - Wolfgang Zemann
- Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz 5/1, Graz, Austria
| | - Dieter Schmalstieg
- Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16c/II, Graz, Austria
| | - Jan Egger
- Computer Algorithms for Medicine (Cafe) Laboratory, Graz, Austria
- Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16c/II, Graz, Austria
- BioTechMed-Graz, Krenngasse 37/1, Graz, Austria
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20
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Sharaf B, Sabbagh MD, Vijayasekaran A, Allen M, Matsumoto J. Virtual surgical planning and three-dimensional printing in multidisciplinary oncologic chest wall resection and reconstruction: A case report. Int J Surg Case Rep 2018; 47:52-56. [PMID: 29729609 PMCID: PMC5994733 DOI: 10.1016/j.ijscr.2018.04.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 03/21/2018] [Accepted: 04/22/2018] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Primary sarcomas of the sternum are extremely rare and present the surgical teams involved with unique challenges. Historically, local muscle flaps have been utilized to reconstruct the resulting defect. However, when the resulting oncologic defect is larger than anticipated, local tissues have been radiated, or when preservation of chest wall muscles is necessary to optimize function, local reconstructive options are unsuitable. PRESENTATION OF CASE Virtual surgical planning (VSP) and in house three-dimensional (3D) printing provides the platform for improved understanding of the anatomy of complex tumours, communication amongst surgeons, and meticulous pre-operative planning. We present the novel use of this technology in the multidisciplinary surgical care of a 35 year old male with primary sarcoma of the sternum. Emphasis on minimizing morbidity, maintaining function of chest wall muscles, and preservation of the internal mammary vessels for microvascular anastomosis are discussed. DISCUSSION While the majority of patients at our institution receive local or regional flaps for reconstruction of thoracic defects, advances in microvascular surgery allow the reconstructive surgeon the latitude to choose other flap options if necessary. VSP and 3D printing allowed the surgical team involved to utilize free tissue transfer to reconstruct the defect with free tissue transfer from the thigh. Perseveration of the internal mammary vessels was paramount during tumor extirpation. CONCLUSION Virtual surgical planning and rapid prototyping is a useful adjunct to standard imaging in complex chest wall resection and reconstruction.
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Affiliation(s)
- Basel Sharaf
- Mayo Clinic, Division of Plastic Surgery, 200 First Street SW, Rochester, MN, 55905 USA.
| | - M Diya Sabbagh
- Mayo Clinic, Division of Plastic Surgery, 200 First Street SW, Rochester, MN, 55905 USA.
| | - Aparna Vijayasekaran
- Mayo Clinic, Division of Plastic Surgery, 200 First Street SW, Rochester, MN, 55905 USA.
| | - Mark Allen
- Mayo Clinic Minnesota, Division of Thoracic Surgery, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Jane Matsumoto
- Mayo Clinic Minnesota, Department of Radiology, 200 First Street SW, Rochester, MN, 55905, USA.
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21
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Qiu K, Zhao Z, Haghiashtiani G, Guo SZ, He M, Su R, Zhu Z, Bhuiyan DB, Murugan P, Meng F, Park SH, Chu CC, Ogle BM, Saltzman DA, Konety BR, Sweet RM, McAlpine MC. 3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors. ADVANCED MATERIALS TECHNOLOGIES 2018; 3:1700235. [PMID: 29608202 PMCID: PMC5877482 DOI: 10.1002/admt.201700235] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The design and development of novel methodologies and customized materials to fabricate patient-specific 3D printed organ models with integrated sensing capabilities could yield advances in smart surgical aids for preoperative planning and rehearsal. Here, we demonstrate 3D printed prostate models with physical properties of tissue and integrated soft electronic sensors using custom-formulated polymeric inks. The models show high quantitative fidelity in static and dynamic mechanical properties, optical characteristics, and anatomical geometries to patient tissues and organs. The models offer tissue-mimicking tactile sensation and behavior and thus can be used for the prediction of organ physical behavior under deformation. The prediction results show good agreement with values obtained from simulations. The models also allow the application of surgical and diagnostic tools to their surface and inner channels. Finally, via the conformal integration of 3D printed soft electronic sensors, pressure applied to the models with surgical tools can be quantitatively measured.
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Affiliation(s)
- Kaiyan Qiu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Zichen Zhao
- WWAMI Institute for Simulation in Healthcare, University of Washington, Seattle, Washington 98195, United States
| | - Ghazaleh Haghiashtiani
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Shuang-Zhuang Guo
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Mingyu He
- Fiber Science & Biomedical Engineering Programs, Cornell University, Ithaca, New York 14853, United States
| | - Ruitao Su
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Zhijie Zhu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Didarul B Bhuiyan
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Paari Murugan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Fanben Meng
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Sung Hyun Park
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Chih-Chang Chu
- Fiber Science & Biomedical Engineering Programs, Cornell University, Ithaca, New York 14853, United States
| | - Brenda M Ogle
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Daniel A Saltzman
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Badrinath R Konety
- Department of Urology, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Robert M Sweet
- WWAMI Institute for Simulation in Healthcare, University of Washington, Seattle, Washington 98195, United States
| | - Michael C McAlpine
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
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22
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Smith CF, Tollemache N, Covill D, Johnston M. Take away body parts! An investigation into the use of 3D-printed anatomical models in undergraduate anatomy education. ANATOMICAL SCIENCES EDUCATION 2018; 11:44-53. [PMID: 28753247 DOI: 10.1002/ase.1718] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 04/24/2017] [Accepted: 06/21/2017] [Indexed: 05/23/2023]
Abstract
Understanding the three-dimensional (3D) nature of the human form is imperative for effective medical practice and the emergence of 3D printing creates numerous opportunities to enhance aspects of medical and healthcare training. A recently deceased, un-embalmed donor was scanned through high-resolution computed tomography. The scan data underwent segmentation and post-processing and a range of 3D-printed anatomical models were produced. A four-stage mixed-methods study was conducted to evaluate the educational value of the models in a medical program. (1) A quantitative pre/post-test to assess change in learner knowledge following 3D-printed model usage in a small group tutorial; (2) student focus group (3) a qualitative student questionnaire regarding personal student model usage (4) teaching faculty evaluation. The use of 3D-printed models in small-group anatomy teaching session resulted in a significant increase in knowledge (P = 0.0001) when compared to didactic 2D-image based teaching methods. Student focus groups yielded six key themes regarding the use of 3D-printed anatomical models: model properties, teaching integration, resource integration, assessment, clinical imaging, and pathology and anatomical variation. Questionnaires detailed how students used the models in the home environment and integrated them with anatomical learning resources such as textbooks and anatomy lectures. In conclusion, 3D-printed anatomical models can be successfully produced from the CT data set of a recently deceased donor. These models can be used in anatomy education as a teaching tool in their own right, as well as a method for augmenting the curriculum and complementing established learning modalities, such as dissection-based teaching. Anat Sci Educ 11: 44-53. © 2017 American Association of Anatomists.
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MESH Headings
- Aged, 80 and over
- Anatomy/economics
- Anatomy/education
- Cadaver
- Comprehension
- Curriculum
- Education, Medical, Undergraduate/economics
- Education, Medical, Undergraduate/methods
- Educational Measurement
- Humans
- Imaging, Three-Dimensional/economics
- Imaging, Three-Dimensional/methods
- Learning
- Male
- Models, Anatomic
- Printing, Three-Dimensional/economics
- Printing, Three-Dimensional/statistics & numerical data
- Students, Medical/psychology
- Tomography, X-Ray Computed/economics
- Tomography, X-Ray Computed/methods
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Affiliation(s)
- Claire F Smith
- Department of Anatomy, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Nicholas Tollemache
- Department of Anatomy, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Derek Covill
- School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom
| | - Malcolm Johnston
- Department of Radiology, Brighton and Sussex University Hospitals, Brighton, United Kingdom
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23
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Li F, Liu C, Song X, Huan Y, Gao S, Jiang Z. Production of accurate skeletal models of domestic animals using three-dimensional scanning and printing technology. ANATOMICAL SCIENCES EDUCATION 2018; 11:73-80. [PMID: 28914982 DOI: 10.1002/ase.1725] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 07/20/2017] [Accepted: 08/05/2017] [Indexed: 06/07/2023]
Abstract
Access to adequate anatomical specimens can be an important aspect in learning the anatomy of domestic animals. In this study, the authors utilized a structured light scanner and fused deposition modeling (FDM) printer to produce highly accurate animal skeletal models. First, various components of the bovine skeleton, including the femur, the fifth rib, and the sixth cervical (C6) vertebra were used to produce digital models. These were then used to produce 1:1 scale physical models with the FDM printer. The anatomical features of the digital models and three-dimensional (3D) printed models were then compared with those of the original skeletal specimens. The results of this study demonstrated that both digital and physical scale models of animal skeletal components could be rapidly produced using 3D printing technology. In terms of accuracy between models and original specimens, the standard deviations of the femur and the fifth rib measurements were 0.0351 and 0.0572, respectively. All of the features except the nutrient foramina on the original bone specimens could be identified in the digital and 3D printed models. Moreover, the 3D printed models could serve as a viable alternative to original bone specimens when used in anatomy education, as determined from student surveys. This study demonstrated an important example of reproducing bone models to be used in anatomy education and veterinary clinical training. Anat Sci Educ 11: 73-80. © 2017 American Association of Anatomists.
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Affiliation(s)
- Fangzheng Li
- College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, Qingdao, People's Republic of China
| | - Chunying Liu
- College of Life Science, Qingdao Agricultural University, Qingdao, People's Republic of China
| | - Xuexiong Song
- College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, Qingdao, People's Republic of China
| | - Yanjun Huan
- College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, Qingdao, People's Republic of China
| | - Shansong Gao
- College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, Qingdao, People's Republic of China
| | - Zhongling Jiang
- College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, Qingdao, People's Republic of China
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24
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Precise osteotomies for mandibular distraction in infants with Robin sequence using virtual surgical planning. Int J Oral Maxillofac Surg 2018; 47:35-43. [DOI: 10.1016/j.ijom.2017.07.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 07/25/2017] [Indexed: 12/15/2022]
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25
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Smith ML, Jones JFX. Dual-extrusion 3D printing of anatomical models for education. ANATOMICAL SCIENCES EDUCATION 2018; 11:65-72. [PMID: 28906599 DOI: 10.1002/ase.1730] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 07/19/2017] [Accepted: 08/22/2017] [Indexed: 06/07/2023]
Abstract
Two material 3D printing is becoming increasingly popular, inexpensive and accessible. In this paper, freely available printable files and dual extrusion fused deposition modelling were combined to create a number of functional anatomical models. To represent muscle and bone FilaFlex3D flexible filament and polylactic acid (PLA) filament were extruded respectively via a single 0.4 mm nozzle using a Big Builder printer. For each filament, cubes (5 mm3 ) were printed and analyzed for X, Y, and Z accuracy. The PLA printed cubes resulted in errors averaging just 1.2% across all directions but for FilaFlex3D printed cubes the errors were statistically significantly greater (average of 3.2%). As an exemplar, a focus was placed on the muscles, bones and cartilage of upper airway and neck. The resulting single prints combined flexible and hard structures. A single print model of the vocal cords was constructed which permitted movement of the arytenoids on the cricoid cartilage and served to illustrate the action of intrinsic laryngeal muscles. As University libraries become increasingly engaged in offering inexpensive 3D printing services it may soon become common place for both student and educator to access websites, download free models or 3D body parts and only pay the costs of print consumables. Novel models can be manufactured as dissectible, functional multi-layered units and offer rich possibilities for sectional and/or reduced anatomy. This approach can liberate the anatomist from constraints of inflexible hard models or plastinated specimens and engage in the design of class specific models of the future. Anat Sci Educ 11: 65-72. © 2017 American Association of Anatomists.
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Affiliation(s)
- Michelle L Smith
- Anatomy Unit, Biomedical Section, School of Medicine, University College Dublin, Dublin, Ireland
| | - James F X Jones
- Anatomy Unit, Biomedical Section, School of Medicine, University College Dublin, Dublin, Ireland
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26
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Chen D, Chen CH, Tang L, Wang K, Li YZ, Phan K, Wu AM. Three-dimensional reconstructions in spine and screw trajectory simulation on 3D digital images: a step by step approach by using Mimics software. JOURNAL OF SPINE SURGERY 2017; 3:650-656. [PMID: 29354744 DOI: 10.21037/jss.2017.10.09] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
There is a rapidly increasing amount of literature outlining the use of three-dimensional (3D) reconstruction and printing technologies in recent years. However, precise instructive articles which describe step-by-step methods of reconstructing 3D images from computed tomography (CT) or magnetic resonance imaging (MRI) remain limited. To address these issues, this article describes a detailed protocol which will allow the reader to easily perform the 3D reconstruction in their future research, to allow investigation of the appropriate surgical anatomy and allow innovative designs of novel screw fixation techniques or pre-operative surgical planning.
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Affiliation(s)
- Dong Chen
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
| | - Chun-Hui Chen
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
| | - Li Tang
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
| | - Kai Wang
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
| | - Yu-Zhe Li
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
| | - Kevin Phan
- NeuroSpine Surgery Research Group (NSURG), Prince of Wales Private Hospital, University of New South Wales, Sydney, Australia
| | - Ai-Min Wu
- Department of Spine Surgery, Digital Orthopedic Institute, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Second Medical College of Wenzhou Medical University, Zhejiang Spine Surgery Center, Wenzhou 325027, China
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