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Current Transplantation Reports

, Volume 3, Issue 1, pp 109–119 | Cite as

Use of 3D Printing for Medical Education Models in Transplantation Medicine: a Critical Review

  • Ellen K. O’BrienEmail author
  • Diane B. Wayne
  • Katherine A. Barsness
  • William C. McGaghie
  • Jeffrey H. Barsuk
Tissue Engineering and Regeneration (JA Wertheim, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Tissue Engineering and Regeneration

Abstract

Three-dimensional (3D) printing is a process where a physical object is created from a three-dimensional computer model through successive material layering. 3D printing is used in many industries to design and manufacture new products. Creation of training models for use in medical education is now possible via adoption of medical 3D printing. This article presents a critical-realist review of the medical literature evaluating different ways 3D printing has been used to produce training models for medical education, with a special emphasis on transplantation medicine. From the 68 articles identified by this review, three themes emerged: (a) 3D printing of patient-specific models for preoperative planning, (b) printing training devices for direct use in simulation-based medical education, and (c) printing molds for simulation models that are then used to cast non-printable materials such as soft tissues. Only two reports were identified that described the use of 3D printing for education in transplantation medicine. Many opportunities exist for further research and advancement of 3D printing within the field of transplantation medicine.

Keywords

3D printing Simulation Critical-realist review Training models Medical education 

Notes

Acknowledgments

The authors would like to thank Senior Clinical Informationist, Jonna Peterson, at Northwestern University’s Galter Health Sciences Library for her help conducting the search.

Compliance with Ethical Standards

Conflict of Interest

Ellen O’Brien, Diane B. Wayne, Katherine A. Barsness, William C. McGaghie, and Jeffrey H. Barsuk declare that they have no conflict of interest relevant to this manuscript.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

  1. 1.
    Gaba DM. The future vision of simulation in health care. Qual Saf Health Care. 2004;13 Suppl 1:i2–10.CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    Boulet JR, Murray D, Kras J, Woodhouse J, McAllister J, Ziv A. Reliability and validity of a simulation-based acute care skills assessment for medical students and residents. Anesthesiology. 2003;99(6):1270–80.CrossRefPubMedGoogle Scholar
  3. 3.
    Issenberg SB, McGaghie WC, Hart IR, Mayer JW, Felner JM, Petrusa ER, et al. Simulation technology for health care professional skills training and assessment. JAMA. 1999;282(9):861–6.CrossRefPubMedGoogle Scholar
  4. 4.
    Rycroft-Malone J, McCormack B, Hutchinson AM, DeCorby K, Bucknall TK, Kent B, et al. Realist synthesis: illustrating the method for implementation research. Implement Sci. 2012;7:33.CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Barsness KA, Rooney DM, Davis LM. The development and evaluation of a novel thoracoscopic diaphragmatic hernia repair simulator. J Laparoendosc Adv Surg Tech A. 2013;23(8):714–8.CrossRefPubMedGoogle Scholar
  6. 6.
    Davis LM, Barsness KA, Rooney DM. Design and development of a novel thoracoscopic tracheoesophageal fistula repair simulator. Stud Health Technol Inform. 2013;184:114–6.PubMedGoogle Scholar
  7. 7.
    Davis LM, Hawkinson EK, Barsness KA. The evolution of design: a novel thoracoscopic diaphragmatic hernia repair simulator. Stud Health Technol Inform. 2014;196:89–95.PubMedGoogle Scholar
  8. 8.
    Hawkinson EK, Davis LM, Barsness KA. Design and development of low-cost tissue replicas for simulation of rare neonatal congenital defects. Stud Health Technol Inform. 2014;196:159–62.PubMedGoogle Scholar
  9. 9.
    Akiba T, Inagaki T, Nakada T. Three-dimensional printing model of anomalous bronchi before surgery. Ann Thorac Cardiovasc Surg. 2014;20(Suppl):659–62.CrossRefPubMedGoogle Scholar
  10. 10.
    Bustamante S, Bose S, Bishop P, Klatte R, Norris F. Novel application of rapid prototyping for simulation of bronchoscopic anatomy. J Cardiothorac Vasc Anesth. 2014;28(4):1134–7.CrossRefGoogle Scholar
  11. 11.
    Hochman JB, Kraut J, Kazmerik K, Unger BJ. Generation of a 3D printed temporal bone model with internal fidelity and validation of the mechanical construct. Otolaryngol Head Neck Surg. 2014;150(3):448–54.CrossRefPubMedGoogle Scholar
  12. 12.
    Lethaus B, Poort L, Bockmann R, Smeets R, Tolba R, Kessler P. Additive manufacturing for microvascular reconstruction of the mandible in 20 patients. J Craniomaxillofac Surg. 2012;40(1):43–6.CrossRefPubMedGoogle Scholar
  13. 13.
    Lu S, Xu YQ, Chen GP, Zhang YZ, Lu D, Chen YB, et al. Efficacy and accuracy of a novel rapid prototyping drill template for cervical pedicle screw placement. Comput Aided Surg. 2011;16(5):240–8.CrossRefPubMedGoogle Scholar
  14. 14.
    Nakada T, Akiba T, Inagaki T, Morikawa T. Thoracoscopic anatomical subsegmentectomy of the right S2b + S3 using a 3D printing model with rapid prototyping. Interact Cardiovasc Thorac Surg. 2014;19(4):696–8.CrossRefPubMedGoogle Scholar
  15. 15.
    Zopf DA, Hollister SJ, Nelson ME, Ohye RG, Green GE. Bioresorbable airway splint created with a three-dimensional printer. N Engl J Med. 2013;368(21):2043–5.CrossRefPubMedGoogle Scholar
  16. 16.
    Li J, Nie L, Li Z, Lin L, Tang L, Ouyang J. Maximizing modern distribution of complex anatomical spatial information: 3D reconstruction and rapid prototype production of anatomical corrosion casts of human specimens. Anat Sci Educ. 2012;5(6):330–9.CrossRefPubMedGoogle Scholar
  17. 17.
    Rose AS, Kimbell JS, Webster CE, Harrysson OL, Formeister EJ, Buchman CA. Multi-material 3D Models for Temporal Bone Surgical Simulation. Ann Otol Rhinol Laryngol. 2015;124(7):528–36.CrossRefPubMedGoogle Scholar
  18. 18.
    Waran V, Pancharatnam D, Thambinayagam HC, Raman R, Rathinam AK, Balakrishnan YK, et al. The utilization of cranial models created using rapid prototyping techniques in the development of models for navigation training. J Neurol Surg A Cent Eur Neurosurg. 2014;75(1):12–5.PubMedGoogle Scholar
  19. 19.
    Schmauss D, Gerber N, Sodian R. Three-dimensional printing of models for surgical planning in patients with primary cardiac tumors. J Thorac Cardiovasc Surg. 2013;145(5):1407–8.CrossRefPubMedGoogle Scholar
  20. 20.
    Schmauss D, Schmitz C, Bigdeli AK, Weber S, Gerber N, Beiras-Fernandez A, et al. Three-dimensional printing of models for preoperative planning and simulation of transcatheter valve replacement. Ann Thorac Surg. 2012;93(2):e31–3.CrossRefPubMedGoogle Scholar
  21. 21.
    Kang SH, Kim MK, You TK, Lee JY. Modification of planned postoperative occlusion in orthognathic surgery, based on computer-aided design/computer-aided manufacturing-engineered preoperative surgical simulation. J Oral Maxillofac Surg. 2015;73(1):134–51.CrossRefPubMedGoogle Scholar
  22. 22.
    Levine JP, Patel A, Saadeh PB, Hirsch DL. Computer-aided design and manufacturing in craniomaxillofacial surgery: the new state of the art. J Craniofac Surg. 2012;23(1):288–93.CrossRefPubMedGoogle Scholar
  23. 23.
    Liu YF, Xu LW, Zhu HY, Liu SS. Technical procedures for template-guided surgery for mandibular reconstruction based on digital design and manufacturing. Biomed Eng Online. 2014;13:63.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Hughes A, Soden P, O'Donnchadha B, Tansey A, Abdulkarim A, McMahon C, et al. A ‘Hip’ approach to revision hip surgery-3D printing in complex acetabular reconstruction. Ir J Med Sci. 2014;183(1):S47.CrossRefGoogle Scholar
  25. 25.
    Schwartz A, Money K, Spangehl M, Hattrup S, Claridge RJ, Beauchamp C. Office-based rapid prototyping in orthopedic surgery: a novel planning technique and review of the literature. Am J Orthop (Belle Mead NJ). 2015;44(1):19–25.Google Scholar
  26. 26.
    Tam MD, Laycock SD, Bell D, Chojnowski A. 3-D printout of a DICOM file to aid surgical planning in a 6 year old patient with a large scapular osteochondroma complicating congenital diaphyseal aclasia. J Radiol Case Rep. 2012;6(1):31–7.PubMedPubMedCentralGoogle Scholar
  27. 27.
    Tan H, Yang K, Wei P, Zhang G, Dimitriou D, Xu L, et al. A novel preoperative planning technique using a combination of CT angiography and three-dimensional printing for complex toe-to-hand reconstruction. J Reconstr Microsurg. 2015;31(5):369–77.CrossRefPubMedGoogle Scholar
  28. 28.
    Rondinoni C, E Souza VHO, Matsuda RH, Salles ACP, Santos MV, Filho OB, et al. editors. Inter-institutional protocol describing the use of three-dimensional printing for surgical planning in a patient with childhood epilepsy: From 3D modeling to neuronavigation. 2014 I.E. 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014; 2015.Google Scholar
  29. 29.
    Spottiswoode BS, van den Heever DJ, Chang Y, Engelhardt S, Du Plessis S, Nicolls F, et al. Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning. Stereotact Funct Neurosurg. 2013;91(3):162–9.CrossRefPubMedGoogle Scholar
  30. 30.•
    Zein NN, Hanouneh IA, Bishop PD, Samaan M, Eghtesad B, Quintini C, et al. Three-dimensional print of a liver for preoperative planning in living donor liver transplantation. Liver Transpl. 2013;19(12):1304–10. 3D printing was used in transplant surgery; employed 3D printing for preoperative planning.CrossRefPubMedGoogle Scholar
  31. 31.•
    Kusaka M, Sugimoto M, Fukami N, Sasaki H, Takenaka M, Anraku T, et al. Initial experience with a tailor-made simulation and navigation program using a 3-D printer model of kidney transplantation surgery. Transplant Proc. 2015;47(3):596–9. 3D printing was used in transplant surgery; employed 3D printing for preoperative planning.CrossRefPubMedGoogle Scholar
  32. 32.
    Waran V, Menon R, Pancharatnam D, Rathinam AK, Balakrishnan YK, Tung TS, et al. The creation and verification of cranial models using three-dimensional rapid prototyping technology in field of transnasal sphenoid endoscopy. Am J Rhinol Allergy. 2012;26(5):e132–6.CrossRefPubMedGoogle Scholar
  33. 33.
    Waran V, Narayanan V, Karuppiah R, Owen SL, Aziz T. Utility of multimaterial 3D printers in creating models with pathological entities to enhance the training experience of neurosurgeons. J Neurosurg. 2014;120(2):489–92.CrossRefPubMedGoogle Scholar
  34. 34.
    Waran V, Narayanan V, Karuppiah R, Thambynayagam HC, Muthusamy KA, Rahman ZAA, et al. Neurosurgical endoscopic training via a realistic 3-dimensional model with pathology. Simul Healthc. 2015;10(1):43–8.CrossRefPubMedGoogle Scholar
  35. 35.
    Cheung CL, Looi T, Lendvay TS, Drake JM, Farhat WA. Use of 3-dimensional printing technology and silicone modeling in surgical simulation: development and face validation in pediatric laparoscopic pyeloplasty. J Surg Educ. 2014;71(5):762–7.CrossRefPubMedGoogle Scholar
  36. 36.
    Longfield EA, Brickman TM, Jeyakumar A. 3D printed pediatric temporal bone: a novel training model. Otol Neurotol. 2015;36(5):793–5.CrossRefPubMedGoogle Scholar
  37. 37.
    Hawkinson EK, Davis LM, Barsness KA, editors. Design and development of a laparoscopic Gastrostomy tube placement simulator. Stud Health Technol Inform. 2014.Google Scholar
  38. 38.
    Stone J, Candela B, Alleluia V, Fazili A, Richards M, Feng C, et al. A novel technique for simulated surgical procedures using 3D printing technology. J Urol. 2015;193(4):e270.CrossRefGoogle Scholar
  39. 39.
    Turney BW. A new model with an anatomically accurate human renal collecting system for training in fluoroscopy-guided percutaneous nephrolithotomy access. J Endourol. 2014;28(3):360–3.CrossRefPubMedPubMedCentralGoogle Scholar
  40. 40.
    Stratasys. 3D Printing with Digital Materials. http://www.stratasys.com/materials/polyjet/digital-materials. Accessed 26 Sept 2015.
  41. 41.
    Hawkinson EK, Davis LM, Barsness KA. Design and development of a laparoscopic gastrostomy tube placement simulator. Stud Health Technol Inform. 2014;196:155–8.PubMedGoogle Scholar
  42. 42.
    Kurenov SN, Ionita C, Sammons D, Demmy TL. Three-dimensional printing to facilitate anatomic study, device development, simulation, and planning in thoracic surgery. J Thorac Cardiovasc Surg. 2015;149(4):973–9.e1.CrossRefPubMedGoogle Scholar
  43. 43.
    Maddox M, Feibus A, Lee B, Wang J, Thomas R, Silberstein J. Evolution of 3-d physical models of renal malignancies using multi-material 3-d printers. J Urol. 2015;193(4):e242.CrossRefGoogle Scholar
  44. 44.
    Miyazaki T, Yamasaki N, Tsuchiya T, Matsumoto K, Takagi K, Nagayasu T. Airway stent insertion simulated with a three-dimensional printed airway model. Ann Thorac Surg. 2015;99(1):e21–3.CrossRefPubMedGoogle Scholar
  45. 45.
    Rose AS, Webster CE, Harrysson OLA, Formeister EJ, Rawal RB, Iseli CE. Pre-operative simulation of pediatric mastoid surgery with 3D-printed temporal bone models. Int J Pediatr Otorhinolaryngol. 2015;79(5):740–4.CrossRefPubMedGoogle Scholar
  46. 46.
    Silberstein JL, Maddox MM, Dorsey P, Feibus A, Thomas R, Lee BR. Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: a pilot study. Urology. 2014;84(2):268–72.CrossRefPubMedGoogle Scholar
  47. 47.
    Sugimoto M. Bio-elastic patient-specific organ and abdominal cavity replication using multi-material 3d printer for robotic surgical simulation. Surg Endosc Other Interv Techn. 2015;29:S4.Google Scholar
  48. 48.
    Tam MD, Laycock SD, Brown JR, Jakeways M. 3D printing of an aortic aneurysm to facilitate decision making and device selection for endovascular aneurysm repair in complex neck anatomy. J Endovasc Ther. 2013;20(6):863–7.CrossRefPubMedGoogle Scholar
  49. 49.
    Tam MD, Latham T, Brown JR, Jakeways M. Use of a 3D printed hollow aortic model to assist EVAR planning in a case with complex neck anatomy: potential of 3D printing to improve patient outcome. J Endovasc Ther. 2014;21(5):760–2.CrossRefPubMedGoogle Scholar
  50. 50.
    Takagi K, Nanashima A, Abo T, Araf J, Matsuo N, Fukuda T, et al. Three-dimensional printing model of liver for operative simulation in perihilar cholangiocarcinoma. Hepato-Gastroenterology. 2014;61(136):2315–6.PubMedGoogle Scholar
  51. 51.
    Biglino G, Verschueren P, Zegels R, Taylor AM, Schievano S. Rapid prototyping compliant arterial phantoms for in-vitro studies and device testing. J Cardiovasc Magn Reson. 2013;15:2.CrossRefPubMedPubMedCentralGoogle Scholar
  52. 52.
    Chandrasekhara V. Thinking inside the box: 3-dimensional printing for interventional EUS training. Gastrointest Endosc. 2015;81(2):447–9.CrossRefPubMedGoogle Scholar
  53. 53.
    Costello JP, Olivieri LJ, Krieger A, Thabit O, Marshall MB, Yoo SJ, et al. Utilizing three-dimensional printing technology to assess the feasibility of high-fidelity synthetic ventricular septal defect models for simulation in medical education. World J Pediatr Congenit Hearth Surg. 2014;5(3):421–6.CrossRefGoogle Scholar
  54. 54.
    Costello JP, Olivieri LJ, Su L, Krieger A, Alfares F, Thabit O, et al. Incorporating three-dimensional printing into a simulation-based congenital heart disease and critical care training curriculum for resident physicians. Congenit Heart Dis. 2015;10(2):185–90.CrossRefPubMedGoogle Scholar
  55. 55.
    Dhir V, Itoi T, Fockens P, Perez-Miranda M, Khashab MA, Seo DW, et al. Novel ex vivo model for hands-on teaching of and training in EUS-guided biliary drainage: creation of “mumbai EUS” stereolithography/3D printing bile duct prototype (with videos). Gastrointest Endosc. 2015;81(2):440–6.CrossRefPubMedGoogle Scholar
  56. 56.
    Dimeo AJ, Lalush DS, Grant E, Morcuende JA. Development of a surrogate biomodel for the investigation of clubfoot bracing. J Pediatr Orthop. 2012;32(7):e47–52.CrossRefPubMedGoogle Scholar
  57. 57.
    Dziegielewski PT, Zhu J, King B, Grosvenor A, Dobrovolsky W, Singh P, et al. Three-dimensional biomodeling in complex mandibular reconstruction and surgical simulation: prospective trial. J Otolaryngol Head Neck Surg. 2011;40 Suppl 1:S70–81.PubMedGoogle Scholar
  58. 58.
    Fasel JH, Beinemann J, Schaller K, Gailloud P. A critical inventory of preoperative skull replicas. Ann R Coll Surg Engl. 2013;95(6):401–4.CrossRefPubMedPubMedCentralGoogle Scholar
  59. 59.
    Fu M, Lin L, Kong X, Zhao W, Tang L, Li J, et al. Construction and accuracy assessment of patient-specific biocompatible drill template for cervical anterior transpedicular screw (ATPS) insertion: an in vitro study. PLoS One. 2013;8(1):e53580.CrossRefPubMedPubMedCentralGoogle Scholar
  60. 60.
    Holt BA, Hearn G, Hawes R, Tharian B, Varadarajulu S. Development and evaluation of a 3D printed endoscopic ampullectomy training model. Gastrointest Endosc. 2015;81(5):AB330–1.CrossRefGoogle Scholar
  61. 61.
    McMenamin PG, Quayle MR, McHenry CR, Adams JW. The production of anatomical teaching resources using three-dimensional (3D) printing technology. Anat Sci Educ. 2014.Google Scholar
  62. 62.
    Nishimoto S, Sotsuka Y, Kawai K, Fujita K, Kakibuchi M. Three-dimensional mock-up model for chondral framework in auricular reconstruction, built with a personal three-dimensional printer. Plast Reconstr Surg. 2014;134(1):180e–1.CrossRefPubMedGoogle Scholar
  63. 63.
    Olivieri LJ, Krieger A, Loke YH, Nath DS, Kim PCW, Sable CA. Three-dimensional printing of intracardiac defects from three-dimensional echocardiographic images: feasibility and relative accuracy. J Am Soc Echocardiogr. 2015;28(4):392–7.CrossRefPubMedGoogle Scholar
  64. 64.
    Sakuragi T. Stereolithographic biomodelling of pulmonary hilum by multislice computed tomography imaging. Eur J Cardiothorac Surg. 2014;46(1):143.CrossRefPubMedGoogle Scholar
  65. 65.
    Salmi M, Paloheimo KS, Tuomi J, Wolff J, Makitie A. Accuracy of medical models made by additive manufacturing (rapid manufacturing). J Craniomaxillofac Surg. 2013;41(7):603–9.CrossRefPubMedGoogle Scholar
  66. 66.
    Starosolski ZA, Kan JH, Rosenfeld SD, Krishnamurthy R, Annapragada A. Application of 3-D printing (rapid prototyping) for creating physical models of pediatric orthopedic disorders. Pediatr Radiol. 2014;44(2):216–21.CrossRefPubMedGoogle Scholar
  67. 67.
    Watson RA. A low-cost surgical application of additive fabrication. J Surg Educ. 2014;71(1):14–7.CrossRefPubMedGoogle Scholar
  68. 68.
    Werner H, Rolo LC, Araujo Junior E, Dos Santos JR. Manufacturing models of fetal malformations built from 3-dimensional ultrasound, magnetic resonance imaging, and computed tomography scan data. Ultrasound Q. 2014;30(1):69–75.CrossRefPubMedGoogle Scholar
  69. 69.
    West SJ, Mari JM, Khan A, Wan JH, Zhu W, Koutsakos IG, et al. Development of an ultrasound phantom for spinal injections with 3-dimensional printing. Reg Anesth Pain Med. 2014;39(5):429–33.CrossRefPubMedGoogle Scholar
  70. 70.
    Hakansson A, Rantatalo M, Hansen T, Wanhainen A. Patient specific biomodel of the whole aorta - the importance of calcified plaque removal. Vasa. 2011;40(6):453–9.CrossRefPubMedGoogle Scholar
  71. 71.
    Mashiko T, Yang Q, Kaneko N, Konno T, Yamaguchi T, Watanabe E. Pre-surgical simulation of microvascular decompression for hemifacial spasm using 3D-models. Neurol Surg. 2015;43(1):41–9.Google Scholar
  72. 72.
    Mashiko T, Otani K, Kawano R, Konno T, Kaneko N, Ito Y, et al. Development of three-dimensional hollow elastic model for cerebral aneurysm clipping simulation enabling rapid and low cost prototyping. World Neurosurg. 2015;83(3):351–61.CrossRefPubMedGoogle Scholar
  73. 73.
    O'Reilly MK, Reese S, Herlihy T, Geoghegan T, Cantwell CP, Feeney RN, et al. Fabrication and assessment of 3D printed anatomical models of the lower limb for anatomical teaching and femoral vessel access training in medicine. Anat Sci Educ. 2015.Google Scholar
  74. 74.
    Wurm G, Lehner M, Tomancok B, Kleiser R, Nussbaumer K. Cerebrovascular biomodeling for aneurysm surgery: simulation-based training by means of rapid prototyping technologies. Surg Innov. 2011;18(3):294–306.CrossRefPubMedGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ellen K. O’Brien
    • 1
    • 2
    Email author
  • Diane B. Wayne
    • 1
    • 3
  • Katherine A. Barsness
    • 1
    • 4
    • 5
  • William C. McGaghie
    • 1
  • Jeffrey H. Barsuk
    • 1
    • 3
  1. 1.Department of Medical EducationNorthwestern University Feinberg School of MedicineChicagoUSA
  2. 2.Northwestern SimulationChicagoUSA
  3. 3.Department of MedicineNorthwestern University Feinberg School of MedicineChicagoUSA
  4. 4.Department of SurgeryNorthwestern University Feinberg School of MedicineChicagoUSA
  5. 5.Division of Pediatric SurgeryAnn & Robert H. Lurie Children’s Hospital of ChicagoChicagoUSA

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