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Three dimensional models in uro-oncology: a future built with additive fabrication

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Abstract

Purpose

Three-dimensional (3D) printing was invented in 1983 but has only just begun to influence medicine and surgery. Conversion of digital images into physical models demonstrates promise to revolutionize multiple domains of surgery. In the field of uro-oncology, researchers and clinicians have recognized the potential of this technology and are working towards making it an integral part of urological practice. We review current literature regarding 3D printing and other 3D technology in the field of urology.

Method

A comprehensive assessment of contemporary literature was performed according to a modified PRISMA analysis for the purposes of this narrative review article. Medical databases that were searched included: Web of Science, EMBASE and Cochrane databases. Articles assessed were limited only to English-language peer-reviewed articles published between 1980 and 2017. The search terms used were “3D”, “3-dimensional”, “printing”, “printing technology”, “urology”, “surgery”. Acceptable articles were reviewed and incorporated for their merit and relevance with preference given for articles with high impact, original research and recent advances.

Results

Thirty-five publications were included in final analysis and discussion.

Conclusions

The area of 3D printing in Urology shows promising results, but further research is required and cost reduction must occur before clinicians fully embrace its use. As costs continue to decline and diversity of materials continues to expand, research and clinical utilization will increase. Recent advances have demonstrated the potential of this technology in the realms of education and surgical optimization. The generation of personalized organs using 3D printing scaffolding remains the ‘holy grail’ of this technology.

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References

  1. Ventola CL (2014) Medical applications for 3D printing: current and projected uses. P T 39(10):704–711

    PubMed  PubMed Central  Google Scholar 

  2. Wake N, Chandarana H, Huang WC, Taneja SS, Rosenkrantz AB (2016) Application of anatomically accurate, patient-specific 3D printed models from MRI data in urological oncology. Clin Radiol 71(6):610–614. https://doi.org/10.1016/j.crad.2016.02.012

    Article  CAS  PubMed  Google Scholar 

  3. Li J, Chen M, Fan X, Zhou H (2016) Recent advances in bioprinting techniques: approaches, applications and future prospects. J Transl Med 14:271. https://doi.org/10.1186/s12967-016-1028-0

    Article  PubMed  PubMed Central  Google Scholar 

  4. Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor HU, Giesel FL (2010) 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg 5(4):335–341. https://doi.org/10.1007/s11548-010-0476-x

    Article  CAS  PubMed  Google Scholar 

  5. Coles-Black J, Chao I, Chuen J (2017) Three-dimensional printing in medicine. Med J Aust 207(3):102–103

    Article  PubMed  Google Scholar 

  6. Shin T, Ukimura O, Gill IS (2016) Three-dimensional printed model of prostate anatomy and targeted biopsy-proven index tumor to facilitate nerve-sparing prostatectomy. Eur Urol 69(2):377–379. https://doi.org/10.1016/j.eururo.2015.09.024

    Article  PubMed  Google Scholar 

  7. Chao I, Young J, Coles-Black J, Chuen J, Weinberg L, Rachbuch C (2017) The application of three-dimensional printing technology in anaesthesia: a systematic review. Anaesthesia 72(5):641–650. https://doi.org/10.1111/anae.13812

    Article  CAS  PubMed  Google Scholar 

  8. Harrysson OLA, Hosni YA, Nayfeh JF (2007) Custom-designed orthopedic implants evaluated using finite element analysis of patient-specific computed tomography data: femoral-component case study. BMC Musculoskelet Disord 8:91. https://doi.org/10.1186/1471-2474-8-91

    Article  PubMed  PubMed Central  Google Scholar 

  9. Transplant jaw made by 3D printer claimed as first (2017) http://www.bbc.com/news/technology-16907104. Accessed 19 Dec 2017

  10. Silberstein JL, Maddox MM, Dorsey P, Feibus A, Thomas R, Lee BR (2014) Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: a pilot study. Urology 84(2):268–272. https://doi.org/10.1016/j.urology.2014.03.042

    Article  PubMed  Google Scholar 

  11. Knoedler M, Feibus AH, Lange A, Maddox MM, Ledet E, Thomas R, Silberstein JL (2015) Individualized physical 3-dimensional kidney tumor models constructed from 3-dimensional printers result in improved trainee anatomic understanding. Urology 85(6):1257–1261. https://doi.org/10.1016/j.urology.2015.02.053

    Article  PubMed  Google Scholar 

  12. McMenamin PG, Quayle MR, McHenry CR, Adams JW (2014) The production of anatomical teaching resources using three-dimensional (3D) printing technology. Anat Sci Educ 7(6):479–486. https://doi.org/10.1002/ase.1475

    Article  PubMed  Google Scholar 

  13. Ukimura O, Nakamoto M, Gill IS (2012) Three-dimensional reconstruction of renovascular-tumor anatomy to facilitate zero-ischemia partial nephrectomy. Eur Urol 61(1):211–217. https://doi.org/10.1016/j.eururo.2011.07.068

    Article  PubMed  Google Scholar 

  14. Chen Y, Li H, Wu D, Bi K, Liu C (2014) Surgical planning and manual image fusion based on 3D model facilitate laparoscopic partial nephrectomy for intrarenal tumors. World J Urol 32(6):1493–1499. https://doi.org/10.1007/s00345-013-1222-0

    Article  PubMed  Google Scholar 

  15. Zhang Y, Ge HW, Li NC, Yu CF, Guo HF, Jin SH, Liu JS, Na YQ (2016) Evaluation of three-dimensional printing for laparoscopic partial nephrectomy of renal tumors: a preliminary report. World J Urol 34(4):533–537. https://doi.org/10.1007/s00345-015-1530-7

    Article  PubMed  Google Scholar 

  16. Maddox MM, Feibus A, Liu J, Wang J, Thomas R, Silberstein JL (2017) 3D-printed soft-tissue physical models of renal malignancies for individualized surgical simulation: a feasibility study. J Robot Surg. https://doi.org/10.1007/s11701-017-0680-6

    PubMed  Google Scholar 

  17. von Rundstedt FC, Scovell JM, Agrawal S, Zaneveld J, Link RE (2017) Utility of patient-specific silicone renal models for planning and rehearsal of complex tumour resections prior to robot-assisted laparoscopic partial nephrectomy. BJU Int 119(4):598–604. https://doi.org/10.1111/bju.13712

    Article  Google Scholar 

  18. de Luyk N, Namdarian B, Challacombe B (2017) Touching the future: three-dimensional printing facilitates preoperative planning, realistic simulation and enhanced precision in robot-assisted laparoscopic partial nephrectomy. BJU Int 119(4):510–512. https://doi.org/10.1111/bju.13800

    Article  PubMed  Google Scholar 

  19. Simpfendorfer T, Li Z, Gasch C, Drosdzol F, Fangerau M, Muller M, Maier-Hein L, Hohenfellner M, Teber D (2017) Three-Dimensional Reconstruction of Preoperative Imaging Improves Surgical Success in Laparoscopy. J Laparoendosc Adv Surg Tech A 27(2):181–185. https://doi.org/10.1089/lap.2016.0424

    Article  PubMed  Google Scholar 

  20. Manning TG, Christidis D, Coles-Black J, McGrath S, O’Brien J, Chuen J, Bolton D, Lawrentschuk N (2017) “Plug and Play”: a novel technique utilising existing technology to get the most out of the robot. J Robot Surg 11(2):235–238. https://doi.org/10.1007/s11701-016-0670-0

    Article  PubMed  Google Scholar 

  21. Marescaux J, Diana M (2015) Inventing the future of surgery. World J Surg 39(3):615–622. https://doi.org/10.1007/s00268-014-2879-2

    Article  PubMed  Google Scholar 

  22. Lee SL, Lerotic M, Vitiello V, Giannarou S, Kwok KW, Visentini-Scarzanella M, Yang GZ (2010) From medical images to minimally invasive intervention: computer assistance for robotic surgery. Comput Med Imaging Graph 34(1):33–45. https://doi.org/10.1016/j.compmedimag.2009.07.007

    Article  PubMed  Google Scholar 

  23. Mandrycky C, Wang Z, Kim K, Kim DH (2016) 3D bioprinting for engineering complex tissues. Biotechnol Adv 34(4):422–434. https://doi.org/10.1016/j.biotechadv.2015.12.011

    Article  CAS  PubMed  Google Scholar 

  24. Atala A, Kasper FK, Mikos AG (2012) Engineering complex tissues. Sci Transl Med 4(160rv112):112. https://doi.org/10.1126/scitranslmed.3004890

    Google Scholar 

  25. Soliman Y, Feibus AH, Baum N (2015) 3D printing and its urologic applications. Rev Urol 17(1):20–24

    PubMed  PubMed Central  Google Scholar 

  26. Del Junco M, Yoon R, Okhunov Z, Abedi G, Hwang C, Dolan B, Landman J (2015) Comparison of flow characteristics of novel three-dimensional printed ureteral stents versus standard ureteral stents in a porcine model. J Endourol 29(9):1065–1069. https://doi.org/10.1089/end.2014.0716

    Article  PubMed  Google Scholar 

  27. Kondor S, Grant G, Liacouras P, Schmid JR, Parsons M, Rastogi VK, Smith LS, Macy B, Sabart B, Macedonia C (2013) On demand additive manufacturing of a basic surgical kit. J Med Dev 7(3):030916

    Article  Google Scholar 

  28. Del Junco M, Okhunov Z, Yoon R, Khanipour R, Juncal S, Abedi G, Lusch A, Landman J (2015) Development and initial porcine and cadaver experience with three-dimensional printing of endoscopic and laparoscopic equipment. J Endourol 29(1):58–62. https://doi.org/10.1089/end.2014.0280

    Article  PubMed  PubMed Central  Google Scholar 

  29. Marro A, Bandukwala T, Mak W (2016) Three-dimensional printing and medical imaging: a review of the methods and applications. Curr Probl Diagn Radiol 45(1):2–9. https://doi.org/10.1067/j.cpradiol.2015.07.009

    Article  PubMed  Google Scholar 

  30. Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos AA, Cai T, Kumamaru KK, George E, Wake N, Caterson EJ, Pomahac B, Ho VB, Grant GT, Rybicki FJ (2015) Medical 3D printing for the radiologist. Radiographics 35(7):1965–1988. https://doi.org/10.1148/rg.2015140320

    Article  PubMed  PubMed Central  Google Scholar 

  31. Cheng GZ, San Jose Estepar R, Folch E, Onieva J, Gangadharan S, Majid A (2016) Three-dimensional printing and 3D Slicer: powerful tools in understanding and treating structural lung disease. Chest 149(5):1136–1142. https://doi.org/10.1016/j.chest.2016.03.001

    Article  PubMed  Google Scholar 

  32. Rutula WA WD (2008) Healthcare Infection Control Practices Advisory Committee (HICPAC). Guideline for disinfection and sterilization in healthcare facilities 2008. CDC (Dept of Health and Human Services USA). http://www.cdc.gov/hicpac/pdf/guidelines/Disinfection_Nov_2008.pdf. 2017

  33. Australia TGA (2017) Proposed regulatory changes related to personalised and 3D printed medical devices. Consultation paper. https://www.tga.gov.au/consultation/consultation-proposed-regulatory-changes-related-personalised-and-3d-printed-medical-devices. Accessed 19 Dec 2017

  34. Hourd P, Medcalf N, Segal J, Williams DJ (2015) A 3D bioprinting exemplar of the consequences of the regulatory requirements on customized processes. Regen Med 10(7):863–883. https://doi.org/10.2217/rme.15.52

    Article  CAS  PubMed  Google Scholar 

  35. Morrison RJ, Kashlan KN, Flanangan CL, Wright JK, Green GE, Hollister SJ, Weatherwax KJ (2015) Regulatory considerations in the design and manufacturing of implantable 3D-printed medical devices. Clin Transl Sci 8(5):594–600. https://doi.org/10.1111/cts.12315

    Article  PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia

    Todd G. Manning, Jonathan S. O’Brien, Daniel Christidis, Marlon Perera, Jasamine Coles-Black, Jason Chuen, Damien M. Bolton & Nathan Lawrentschuk

  2. The Young Urology Researchers Organisation (YURO), Melbourne, Australia

    Todd G. Manning, Jonathan S. O’Brien, Daniel Christidis & Marlon Perera

  3. Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia

    Marlon Perera

  4. Austin Health 3D Medical Printing Laboratory, Melbourne, Australia

    Jasamine Coles-Black & Jason Chuen

  5. Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia

    Nathan Lawrentschuk

  6. Olivia Newton-John Cancer Research Institute, Melbourne, Australia

    Nathan Lawrentschuk

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  1. Todd G. Manning
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  2. Jonathan S. O’Brien
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  4. Marlon Perera
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  7. Damien M. Bolton
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  8. Nathan Lawrentschuk
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Contributions

All Authors contributed to the production of this manuscript. TGM: Protocol/project development, Data collection or management, Data analysis, Manuscript writing/editing, Revision writing/editing. JSO: Protocol/project development, Data collection or management, Data analysis, Manuscript writing/editing, Revision writing/editing. DC: Protocol/project development, Data collection or management, Data analysis, Manuscript writing/editing. MP: Data Analysis, Manuscript writing/editing, Revision writing/editing. JC-B: Protocol/project development, Data collection or management, Data analysis. JC: Protocol/project development, Data collection or management, Data analysis. DMB: Protocol/project development, Data collection or management, Data analysis. NL: Protocol/project development, Data collection or management, Data analysis

Corresponding author

Correspondence to Todd G. Manning.

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The authors declare that they have no conflict of interest.

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

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Informed consent was obtained from all individual participants included in the study.

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Manning, T.G., O’Brien, J.S., Christidis, D. et al. Three dimensional models in uro-oncology: a future built with additive fabrication. World J Urol 36, 557–563 (2018). https://doi.org/10.1007/s00345-018-2201-2

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  • DOI: https://doi.org/10.1007/s00345-018-2201-2

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