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Kveller C, Jakobsen AM, Larsen NH, Lindhardt JL, Baad-Hansen T. First experiences of a hospital-based 3D printing facility - an analytical observational study. BMC Health Serv Res 2024; 24:28. [PMID: 38178068 PMCID: PMC10768152 DOI: 10.1186/s12913-023-10511-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024] Open
Abstract
PURPOSE To identify the clinical impact and potential benefits of in-house 3D-printed objects through a questionnaire, focusing on three principal areas: patient education; interdisciplinary cooperation; preoperative planning and perioperative execution. MATERIALS AND METHODS Questionnaires were sent from January 2021 to August 2022. Participants were directed to rate on a scale from 1 to 10. RESULTS The response rate was 43%. The results of the rated questions are averages. 84% reported using 3D-printed objects in informing the patient about their condition/procedure. Clinician-reported improvement in patient understanding of their procedure/disease was 8.1. The importance of in-house placement was rated 9.2. 96% reported using the 3D model to confer with colleagues. Delay in treatment due to 3D printing lead-time was 1.8. The degree with which preoperative planning was altered was 6.9. The improvement in clinician perceived preoperative confidence was 8.3. The degree with which the scope of the procedure was affected, in regard to invasiveness, was 5.6, wherein a score of 5 is taken to mean unchanged. Reduction in surgical duration was rated 5.7. CONCLUSION Clinicians report the utilization of 3D printing in surgical specialties improves procedures pre- and intraoperatively, has a potential for increasing patient engagement and insight, and in-house location of a 3D printing center results in improved interdisciplinary cooperation and allows broader access with only minimal delay in treatment due to lead-time.
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Affiliation(s)
- Christian Kveller
- Department of Orthopedic Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark.
| | - Anders M Jakobsen
- Department of Plastic and Breast Surgery, 3D Innovation, Aarhus University Hospital, Aarhus, Denmark
| | - Nicoline H Larsen
- Department of Dentistry, Section for Oral and Maxillofacial Surgery, Aarhus University, Aarhus, Denmark
| | - Joakim L Lindhardt
- Department of Plastic and Breast Surgery, 3D Innovation, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Baad-Hansen
- Department of Orthopedic Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark
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Adnan S, Xiao J. A scoping review on the trends of digital anatomy education. Clin Anat 2023; 36:471-491. [PMID: 36583721 DOI: 10.1002/ca.23995] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/31/2022]
Abstract
Digital technologies are changing the landscape of anatomy education. To reveal the trend of digital anatomy education across medical science disciplines, searches were performed using PubMed, EMBASE, and MEDLINE bibliographic databases for research articles published from January 2010 to June 2021 (inclusive). The search was restricted to publications written in English language and to articles describing teaching tools in undergraduate and postgraduate anatomy and pre-vocational clinical anatomy training courses. Among 156 included studies across six health disciplines, 35% used three-dimensional (3D) digital printing tools, 24.2% augmented reality (AR), 22.3% virtual reality (VR), 11.5% web-based programs, and 4.5% tablet-based apps. There was a clear discipline-dependent preference in the choice and employment of digital anatomy education. AR and VR were the more commonly adopted digital tools for medical and surgical anatomy education, while 3D printing is more broadly used for nursing, allied health and dental health education compared to other digital resources. Digital modalities were predominantly adopted for applied interactive anatomy education and primarily in advanced anatomy curricula such as regional anatomy and neuroanatomy. Moreover, there was a steep increase in VR anatomy combining digital simulation for surgical anatomy training. There is a consistent increase in the adoption of digital modalities in anatomy education across all included health disciplines. AR and VR anatomy incorporating digital simulation will play a more prominent role in medical education of the future. Combining multimodal digital resources that supports blended and interactive learning will further modernize anatomy education, moving medical education further away from its didactic history.
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Affiliation(s)
- Sharmeen Adnan
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Junhua Xiao
- Department of Health Sciences and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia.,School of Allied Health, La Trobe University, Bundoora, Australia
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Fidvi S, Holder J, Li H, Parnes GJ, Shamir SB, Wake N. Advanced 3D Visualization and 3D Printing in Radiology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1406:103-138. [PMID: 37016113 DOI: 10.1007/978-3-031-26462-7_6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
Since the discovery of X-rays in 1895, medical imaging systems have played a crucial role in medicine by permitting the visualization of internal structures and understanding the function of organ systems. Traditional imaging modalities including Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Ultrasound (US) present fixed two-dimensional (2D) images which are difficult to conceptualize complex anatomy. Advanced volumetric medical imaging allows for three-dimensional (3D) image post-processing and image segmentation to be performed, enabling the creation of 3D volume renderings and enhanced visualization of pertinent anatomic structures in 3D. Furthermore, 3D imaging is used to generate 3D printed models and extended reality (augmented reality and virtual reality) models. A 3D image translates medical imaging information into a visual story rendering complex data and abstract ideas into an easily understood and tangible concept. Clinicians use 3D models to comprehend complex anatomical structures and to plan and guide surgical interventions more precisely. This chapter will review the volumetric radiological techniques that are commonly utilized for advanced 3D visualization. It will also provide examples of 3D printing and extended reality technology applications in radiology and describe the positive impact of advanced radiological image visualization on patient care.
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Affiliation(s)
- Shabnam Fidvi
- Department of Radiology, Montefiore Medical Center, Bronx, NY, USA.
| | - Justin Holder
- Department of Radiology, Montefiore Medical Center, Bronx, NY, USA
| | - Hong Li
- Department of Radiology, Jacobi Medical Center, Bronx, NY, USA
| | | | | | - Nicole Wake
- GE Healthcare, Aurora, OH, USA
- Center for Advanced Imaging Innovation and Research, NYU Langone Health, New York, NY, USA
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4
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Three-dimensional Printing in Pediatric Otolaryngology. Otolaryngol Clin North Am 2022; 55:1243-1251. [DOI: 10.1016/j.otc.2022.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Antel R, Abbasgholizadeh-Rahimi S, Guadagno E, Harley JM, Poenaru D. The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review. PATIENT EDUCATION AND COUNSELING 2022; 105:3038-3050. [PMID: 35725526 DOI: 10.1016/j.pec.2022.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 05/31/2022] [Accepted: 06/07/2022] [Indexed: 05/14/2023]
Abstract
OBJECTIVES While the development of artificial intelligence (AI) and virtual reality (VR) technologies in medicine has been significant, their application to doctor-patient communication is limited. As communicating risk is a challenging, yet essential, component of shared decision-making (SDM) in surgery, this review aims to explore the current use of AI and VR in doctor-patient surgical risk communication. METHODS The search strategy was prepared by a medical librarian and run in 7 electronic databases. Articles were screened by a single reviewer. Included articles described the use of AI or VR applicable to surgical risk communication between patients, their families, and the surgical team. RESULTS From 4576 collected articles, 64 were included in this review. Identified applications included decision support tools (15, 23.4%), tailored patient information resources (13, 20.3%), treatment visualization tools (17, 26.6%) and communication training platforms (19, 29.7%). Overall, these technologies enhance risk communication and SDM, despite heterogeneity in evaluation methods. However, improvements in the usability and versatility of these interventions are needed. CONCLUSIONS There is emerging literature regarding applications of AI and VR to facilitate doctor-patient surgical risk communication. PRACTICE IMPLICATIONS AI and VR hold the potential to personalize doctor-patient surgical risk communication to individual patients and healthcare contexts.
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Affiliation(s)
- Ryan Antel
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.
| | - Samira Abbasgholizadeh-Rahimi
- Department of Family Medicine, McGill University, Montreal, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Electrical and Computer Engineering Department, McGill University, Montreal, Canada.
| | - Elena Guadagno
- Harvey E. Beardmore Division of Pediatric Surgery, Montreal Children's Hospital, McGill University Health Center and McGill University, Montreal, Canada.
| | - Jason M Harley
- Department of Experimental Surgery, McGill University, Montreal, Canada; Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Canada; Institute for Health Sciences Education, McGill University, Montreal, Canada.
| | - Dan Poenaru
- Harvey E. Beardmore Division of Pediatric Surgery, Montreal Children's Hospital, McGill University Health Center and McGill University, Montreal, Canada.
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Wickramasinghe N, Thompson BR, Xiao J. The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review. JMIR MEDICAL EDUCATION 2022; 8:e34687. [PMID: 35594064 PMCID: PMC9166657 DOI: 10.2196/34687] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/23/2022] [Accepted: 03/25/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND Anatomy has been the cornerstone of medical education for centuries. However, given the advances in the Internet of Things, this landscape has been augmented in the past decade, shifting toward a greater focus on adopting digital technologies. Digital anatomy is emerging as a new discipline that represents an opportunity to embrace advances in digital health technologies and apply them to the domain of modern medical sciences. Notably, the use of augmented or mixed and virtual reality as well as mobile and platforms and 3D printing in modern anatomy has dramatically increased in the last 5 years. OBJECTIVE This review aims to outline the emerging area of digital anatomy and summarize opportunities and challenges for incorporating digital anatomy in medical science education and practices. METHODS Literature searches were performed using the PubMed, Embase, and MEDLINE bibliographic databases for research articles published between January 2005 and June 2021 (inclusive). Out of the 4650 articles, 651 (14%) were advanced to full-text screening and 77 (1.7%) were eligible for inclusion in the narrative review. We performed a Strength, Weakness, Opportunity, and Threat (SWOT) analysis to evaluate the role that digital anatomy plays in both the learning and teaching of medicine and health sciences as well as its practice. RESULTS Digital anatomy has not only revolutionized undergraduate anatomy education via 3D reconstruction of the human body but is shifting the paradigm of pre- and vocational training for medical professionals via digital simulation, advancing health care. Importantly, it was noted that digital anatomy not only benefits in situ real time clinical practice but also has many advantages for learning and teaching clinicians at multiple levels. Using the SWOT analysis, we described strengths and opportunities that together serve to underscore the benefits of embracing digital anatomy, in particular the areas for collaboration and medical advances. The SWOT analysis also identified a few weaknesses associated with digital anatomy, which are primarily related to the fact that the current reach and range of applications for digital anatomy are very limited owing to its nascent nature. Furthermore, threats are limited to technical aspects such as hardware and software issues. CONCLUSIONS This review highlights the advances in digital health and Health 4.0 in key areas of digital anatomy analytics. The continuous evolution of digital technologies will increase their ability to reinforce anatomy knowledge and advance clinical practice. However, digital anatomy education should not be viewed as a simple technical conversion and needs an explicit pedagogical framework. This review will be a valuable asset for educators and researchers to incorporate digital anatomy into the learning and teaching of medical sciences and their practice.
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Affiliation(s)
- Nilmini Wickramasinghe
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- Epworth Healthcare, Melbourne, Australia
| | - Bruce R Thompson
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- Alfred Health, Melbourne, Australia
- School of Health Sciences, University of Melbourne, Parkville, Australia
| | - Junhua Xiao
- School of Health Sciences, Swinburne University of Technology, Victoria, Australia
- School of Allied Health, La Trobe University, Bundoora, Australia
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Charbonnier B, Hadida M, Marchat D. Additive manufacturing pertaining to bone: Hopes, reality and future challenges for clinical applications. Acta Biomater 2021; 121:1-28. [PMID: 33271354 DOI: 10.1016/j.actbio.2020.11.039] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 11/06/2020] [Accepted: 11/24/2020] [Indexed: 12/12/2022]
Abstract
For the past 20 years, the democratization of additive manufacturing (AM) technologies has made many of us dream of: low cost, waste-free, and on-demand production of functional parts; fully customized tools; designs limited by imagination only, etc. As every patient is unique, the potential of AM for the medical field is thought to be considerable: AM would allow the division of dedicated patient-specific healthcare solutions entirely adapted to the patients' clinical needs. Pertinently, this review offers an extensive overview of bone-related clinical applications of AM and ongoing research trends, from 3D anatomical models for patient and student education to ephemeral structures supporting and promoting bone regeneration. Today, AM has undoubtably improved patient care and should facilitate many more improvements in the near future. However, despite extensive research, AM-based strategies for bone regeneration remain the only bone-related field without compelling clinical proof of concept to date. This may be due to a lack of understanding of the biological mechanisms guiding and promoting bone formation and due to the traditional top-down strategies devised to solve clinical issues. Indeed, the integrated holistic approach recommended for the design of regenerative systems (i.e., fixation systems and scaffolds) has remained at the conceptual state. Challenged by these issues, a slower but incremental research dynamic has occurred for the last few years, and recent progress suggests notable improvement in the years to come, with in view the development of safe, robust and standardized patient-specific clinical solutions for the regeneration of large bone defects.
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Personalized Interventions: A Reality in the Next 20 Years or Pie in the Sky. Pediatr Cardiol 2020; 41:486-502. [PMID: 32198592 DOI: 10.1007/s00246-020-02303-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 01/17/2020] [Indexed: 12/22/2022]
Abstract
There is no better representation of the need for personalization of care than the breadth and complexity of congenital heart disease. Advanced imaging modalities are now standard of care in the field, and the advancements being made to three-dimensional visualization technologies are growing as a means of pre-procedural preparation. Incorporating emerging modeling approaches, such as computational fluid dynamics, will push the limits of our ability to predict outcomes, and this information may be both obtained and utilized during a single procedure in the future. Artificial intelligence and customized devices may soon surface as realistic tools for the care of patients with congenital heart disease, as they are showing growing evidence of feasibility within other fields. This review illustrates the great strides that have been made and the persistent challenges that exist within the field of congenital interventional cardiology, a field which must continue to innovate and push the limits to achieve personalization of the interventions it provides.
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Zhuang YD, Zhou MC, Liu SC, Wu JF, Wang R, Chen CM. Effectiveness of personalized 3D printed models for patient education in degenerative lumbar disease. PATIENT EDUCATION AND COUNSELING 2019; 102:1875-1881. [PMID: 31113688 DOI: 10.1016/j.pec.2019.05.006] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 04/09/2019] [Accepted: 05/04/2019] [Indexed: 05/24/2023]
Abstract
OBJECTIVE Three-dimensional printing may play an important role in patients' education. The objective of this study was to assess the effectiveness of personalized 3D printed models for increasing patient understanding of their medical condition and surgical plan. METHODS Forty-five patients with degenerative lumbar diseases were randomized by block design into three groups: educational program presented by CT & MRI imaging (care-as-usual), 3D reconstructions, or personalized 3D printed models. Patients' level of understanding and satisfaction were evaluated by two questionnaires one day after education. RESULTS Patients educated with personalized 3D printed models demonstrated an expanded level of understanding than patients educated with CT & MRI imaging (care-as-usual) (P < 0.05) and 3D reconstructions (P < 0.05). Personalized 3D printed models also resulted in a higher degree of patient satisfaction (P < 0.05). CONCLUSIONS Personalized 3D printed models and 3D reconstructions can simplify and enhance understanding of lumbar anatomy, physiology, and patients' disease and surgical plan. Personalized 3D printed models also enhance patients' subjective satisfaction. PRACTICE IMPLICATIONS Personalized 3D printed models for patient education are feasible and could be generalized for degenerative lumbar diseases.
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Affiliation(s)
- Yuan-Dong Zhuang
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China
| | - Mao-Chao Zhou
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China
| | - Shi-Chao Liu
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China
| | - Jian-Feng Wu
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China
| | - Rui Wang
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China
| | - Chun-Mei Chen
- Department of Neurosurgery, Union Hospital, Fujian Medical University, Fujian Institute of Neurosurgery, Fuzhou 350001, China.
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Lee AY, Patel NA, Kurtz K, Edelman M, Koral K, Kamdar D, Goldstein T. The use of 3D printing in shared decision making for a juvenile aggressive ossifying fibroma in a pediatric patient. Am J Otolaryngol 2019; 40:779-782. [PMID: 31285063 DOI: 10.1016/j.amjoto.2019.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/01/2019] [Indexed: 11/17/2022]
Abstract
Juvenile aggressive ossifying fibromas (JAOF) are rare, typically benign pediatric tumors that are locally aggressive and have high recurrence rates. A 7-year old male presented with a palatal mass and a 3D printed model was created and used as a visual aide to highlight the importance of management in terms of functional, cosmetic, and disease-free outcomes with the family. The patient ultimately underwent successful enucleation with final pathology consistent with JAOF. To our knowledge, this is the first description of the use of 3D printing to help in the shared decision-making process for the treatment of this aggressive tumor.
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Affiliation(s)
- Andrew Y Lee
- Albert Einstein College of Medicine, Department of Otorhinolaryngology, Bronx, NY, USA
| | - Neha A Patel
- Cohen Children's Medical Center, Division of Pediatric Otolaryngology, New Hyde Park, NY, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Otolaryngology-Head and Neck Surgery, Hempstead, NY, USA.
| | - Kenneth Kurtz
- Prosthodontics, Northwell Health, New Hyde Park, NY, USA
| | - Morris Edelman
- Cohen Children's Medical Center, Division of Pediatric Pathology, New Hyde Park, NY, USA
| | - Korgun Koral
- Cohen Children's Medical Center, Division of Pediatric Radiology, New Hyde Park, NY, USA
| | - Dev Kamdar
- Zucker School of Medicine at Hofstra/Northwell, Department of Otolaryngology-Head and Neck Surgery, Hempstead, NY, USA
| | - Todd Goldstein
- Feinstein Institute for Medical Research, Northwell Health, New Hyde Park, NY, USA
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Imaging-Based 3-Dimensional Printing for Improved Maxillofacial Presurgical Planning: A Single Center Case Series. Can Assoc Radiol J 2019; 70:74-82. [DOI: 10.1016/j.carj.2018.10.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 09/22/2018] [Accepted: 10/03/2018] [Indexed: 11/18/2022] Open
Abstract
Purpose 3-D printing is an increasingly widespread technology that allows physical models to be constructed based on cross-sectional medical imaging data. We sought to develop a pipeline for production of 3-dimensional (3-D) models for presurgical planning and assess the value of these models for surgeons and patients. Methods In this institutional review board–approved, single-center case series, participating surgeons identified cases for 3-D model printing, and after obtaining patient consent, a 3-D model was produced for each of the 7 participating patients based on preoperative cross-sectional imaging. Each model was given to the surgeon to use during the surgical consent discussion and preoperative planning. Patients and surgeons completed questionnaires evaluating the quality and usefulness of the models. Results The 3-D models improved surgeon confidence in their operative approach, influencing the choice of operative approach in the majority of cases. Patients and surgeons reported that the model improved patient comprehension of the surgery during the consent discussion, including risks and benefits of the surgery. Model production time was as little as 4 days, and the average per-model cost was $350. Conclusions 3-D printed models are useful presurgical tools from both surgeon and patient perspectives. Development of local hospital-based 3-D printing capabilities enables model production with rapid turnaround and modest cost, representing a value-added service for radiologists to offer their surgical colleagues.
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Young JC, Quayle MR, Adams JW, Bertram JF, McMenamin PG. Three-Dimensional Printing of Archived Human Fetal Material for Teaching Purposes. ANATOMICAL SCIENCES EDUCATION 2019; 12:90-96. [PMID: 30106512 DOI: 10.1002/ase.1805] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 04/20/2018] [Accepted: 05/03/2018] [Indexed: 06/08/2023]
Abstract
The practical aspect of human developmental biology education is often limited to the observation and use of animal models to illustrate developmental anatomy. This is due in part to the difficulty of accessing human embryonic and fetal specimens, and the sensitivity inherent to presenting these specimens as teaching materials. This report presents a new approach using three-dimensional (3D) printed replicas of actual human materials in practical classes, thus allowing for the inclusion of accurate examples of human developmental anatomy in the educational context. A series of 3D prints have been produced from digital data collected by computed tomography (CT) imaging of an archived series of preserved human embryonic and fetal specimens. The final versions of 3D prints have been generated in a range of single or multiple materials to illustrate the progression of human development, including the development of internal anatomy. Furthermore, multiple copies of each replica have been printed for large group teaching. In addition to the educational benefit of examining accurate 3D replicas, this approach lessens the potential for adverse student reaction (due to cultural background or personal experience) to observing actual human embryonic/fetal anatomical specimens, and reduces the potential of damage or loss of original specimens. This approach, in combination with ongoing improvements in the management and analysis of digital data and advances in scanning technology, has enormous potential to allow embryology students access to both local and international collections of human gestational material. Anat Sci Educ 00: 000-000. © 2018 American Association of Anatomists.
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Affiliation(s)
- Julia C Young
- Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia
| | - Michelle R Quayle
- 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, Australia
| | - Justin W Adams
- Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia
- 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, Australia
| | - John F Bertram
- Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia
| | - Paul G McMenamin
- Department of Anatomy and Developmental Biology, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia
- 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, Australia
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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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