Skip to main content

Advertisement

Log in

An overview on 3D printing for abdominal surgery

  • Review Article
  • Published:
Surgical Endoscopy Aims and scope Submit manuscript

Abstract

Background

Three-dimensional (3D) printing is a disruptive technology that is quickly spreading to many fields, including healthcare. In this context, it allows the creation of graspable, patient-specific, anatomical models generated from medical images. The ability to hold and show a physical object speeds up and facilitates the understanding of anatomical details, eases patient counseling and contributes to the education and training of students and residents. Several medical specialties are currently exploring the potential of this technology, including general surgery.

Methods

In this review, we provide an overview on the available 3D printing technologies, together with a systematic analysis of the medical literature dedicated to its application for abdominal surgery. Our experience with the first clinical laboratory for 3D printing in Italy is also reported.

Results

There was a tenfold increase in the number of publications per year over the last decade. About 70% of these papers focused on kidney and liver models, produced primarily for pre-interventional planning, as well as for educational and training purposes. The most used printing technologies are material jetting and material extrusion. Seventy-three percent of publications reported on fewer than ten clinical cases.

Conclusion

The increasing application of 3D printing in abdominal surgery reflects the dawn of a new technology, although it is still in its infancy. The potential benefit of this technology is clear, however, and it may soon lead to the development of new hospital facilities to improve surgical training, research, and patient care.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. ASTM F2792-12a (2012) Standard terminology for additive manufacturing technologies (withdrawn 2015). ASTM International, West Conshohocken. www.astm.org

  2. RefWorks software Copyright© 2019 ProQuest LLC

  3. Bruyere F, Leroux C, Brunereau L, Lermusiaux P (2008) Rapid prototyping model for percutaneous nephrolithotomy training. J Endourol 22(1):91–96

    PubMed  Google Scholar 

  4. Sugimoto M, Azuma T (2016) 3D printed patient-specific bio-tangible surgical simulation and navigation system for laparoscopic and robotic liver and kidney surgery. Surg Endosc 30:s182

    Google Scholar 

  5. Sugimoto M (2014) New multicolored multimaterial bioelastic organ replication using hybrid mdct and 3D printing technology for tangible digestive surgery simulation. United European Gastroenterol J 2(1):a198

    Google Scholar 

  6. Shiga Y, Sugimoto M, Iwabuchi T, Kawano Y, Yokoyama H, Ooiwa Y, Shimmbori M, Hariu K, Yamamoto R (2014) Benefit of three-dimensional printing in robotic laparoscopic renal surgery: tangible surgical navigation using a patient-based three-dimensional printed kidney. Urology 84(4):s256–s257

    Google Scholar 

  7. Sugimoto M (2014) Patient-specific bio-elastic organ manufacturing by multi-material 3D printer in laparoscopic surgery simulation and navigation. Surg Endosc 20:s10

    Google Scholar 

  8. Sugimoto M (2013) Integrated simulation and navigation system for robotic surgery using bio-texture modeling by multi-material 3D printing. Surg Endosc 27:s4

    Google Scholar 

  9. Sugimoto M (2013) Bio-texture modeling of digestive organ by multi-material 3D printer: feasibility in therapeutic simulation and navigation. Surg Endosc 27:s355

    Google Scholar 

  10. Sugimoto M (2012) Bio-texture modeling technology of gastrointestinal hepatobiliary pancreatic organs by multimaterial 3D printing system. Gastroenterology 142(5):s345

    Google Scholar 

  11. Sugimoto M, Azuma T (2012) Bio-texture modeling by multi-material 3D printing system for laparoscopic surgical simulation and navigation. Surg Endosc 26:s290

    Google Scholar 

  12. Chandak P, Byrne N, Karunanithy N, Stojanovic J, Marks SD, Uwechue R, Gogalniceanu P, Kessaris N, Mamode N (2017) Clinical use of 3D printing in complex pediatric renal transplantation—a phase 2A study of the ideal framework. Transpl Int 30:157

    Google Scholar 

  13. Chandak P, Byrne N, Newton V, Coleman A, Stojanovic J, Marks SD, Kessaris N, Mamode N (2017) Classification of abdominal vascular anomalies and use of 3D printing to support complex renal transplantation in children. Lancet 389:s32

    Google Scholar 

  14. Chandak P, Byrne N, Karunanithy N, Callaghan C, Mushtaq I, Marks SD, Stojanovic J, Ahmed Z, Kessaris N, Mamode N (2016) Using 3D printing in complex pediatric renal transplantation. Am J Transplant 16:749–750

    Google Scholar 

  15. Fang CH (2016) Application of 3D printing technique in the diagnosis and treatment for pancreatic and periampullary neoplasms. HPB 18:e357

    Google Scholar 

  16. Fang CH (2016) The establishment and value of three-dimensional visualization (MI-3DVS) diagnosis platform in the treatment of hepatolithiasis. HPB 18:e508

    Google Scholar 

  17. Fang CH (2016) The application of the liver 3D printing of a medical image three-dimensional visualization system in complex liver resection. HPB 18:e156

    Google Scholar 

  18. Marconi S, Pugliese L, Botti M, Peri A, Cavazzi E, Latteri S, Auricchio F, Pietrabissa A (2017) Value of 3D printing for the comprehension of surgical anatomy. Surg Endosc 31(10):4102–4110

    PubMed  Google Scholar 

  19. Marconi S, Pugliese L, Del Chiaro M, Pozzi Mucelli R, Auricchio F, Pietrabissa A (2016) An innovative strategy for the identification and 3D reconstruction of pancreatic cancer from CT images. Updates Surg 68(3):273–278

    CAS  PubMed  Google Scholar 

  20. Pietrabissa A, Marconi S, Peri A, Pugliese L, Cavazzi E, Vinci A, Botti M, Auricchio F (2016) From CT scanning to 3-D printing technology for the preoperative planning in laparoscopic splenectomy. Surg Endosc 30(1):366–371

    PubMed  Google Scholar 

  21. Ghazi A, Campbell T, Melnyk R, Feng C, Andrusco A, Stone J and Erturk E (2017) Validation of a full-immersion simulation platform for percutaneous nephrolithotomy using 3D printing technology. J Endourol

  22. Choi YR, Kim JH, Park SJ, Hur BY, Han JK (2017) Therapeutic response assessment using 3D ultrasound for hepatic metastasis from colorectal cancer: application of a personalized, 3D-printed tumor model using CT images. PLoS ONE 12(8):e0182596

    PubMed  PubMed Central  Google Scholar 

  23. Golab A, Smektala T, Kaczmarek K, Stamirowski R, Hrab M, Slojewski M (2017) Laparoscopic partial nephrectomy supported by training involving personalized silicone replica poured in three-dimensional printed casting mold. J Laparoendosc Adv Surg A 27(4):420–422

    Google Scholar 

  24. Burdall OC, Makin E, Davenport M, Ade-Ajayi N (2016) 3D printing to simulate laparoscopic choledochal surgery. J Pediatr Surg 51(5):828–831

    PubMed  Google Scholar 

  25. Liao Y, Wang L, Xu X, Chen H, Chen J, Zhang C, Lei H, Wang R, Zhang S, Gu X, Zhena X, Zhou L (2017) An anthropomorphic abdominal phantom for deformable image registration accuracy validation in adaptive radiation therapy. Med Phys 44(6):2381–2396

    Google Scholar 

  26. Adams F, Qiu T, Fritz B, Pollak S, Miernik A, Wetterauer U, Fisher P (2016) Experimental 3D-printed kidney model based on medical imaging data of human cadavers for educational and surgery planning purposes. Eur Urol Suppl 15(3):e358

    Google Scholar 

  27. Condino S, Carbone M, Ferrari V, Alberti A, Forestieri F, Cioni R, Caramella D, Ferrari M, Mosca F (2011) Fabrication strategy to build a patient specific physical simulator for endovascular training. Int J Comput Assist Radiol 6:s272–s273

    Google Scholar 

  28. Smektala T, Golab A, Krolikowski M, Slojewski M (2016) Low-cost silicone renal replicas for surgical training-technical note. Arch Esp Urol 69(7):434–436

    CAS  PubMed  Google Scholar 

  29. Monda SM, Weese JR, Anderson BG, Vetter JM, Venkatesh R, Du K, Andriole GL, Figenshau RS (2018) Development and validity of a silicone renal tumor model for robotic partial nephrectomy training. Urology 114:114–120

    PubMed  PubMed Central  Google Scholar 

  30. Nahkahn JY, Lee GH, Lee JH, Kim DH, Yung KW, Choi KD, Song HJ, Yung HY (2018) The efficacy of a novel percutaneous endoscopic gastrostomy simulator using three-dimensional printing technologies. J Gastroenterol Hepatol 34(4):659–665

    Google Scholar 

  31. Witowski J, Sitkowski M, Wysocki M, Malina Z, Malczak P, Major P, Pedziwiatr M, Budzynski A (2018) 3D printing in laparoscopic liver resections: an initial experience. Surg Endosc 32(1):s271

    Google Scholar 

  32. Kanngott HG, Wunscher JJ, Wagner M, Preukschas A, Wekerle AL, Neher P, Suwelack S, Speidel S, Nickel F, Oladokun D, Maier-Hein L, Dillmann R, Meinzer P, Muller-Stich BP (2015) OpenHELP (Heidelberg Laparoscopic Phantom): development of an open-source surgical evaluation and training tool. Surg Endosc 29(11):3338–3347

    Google Scholar 

  33. Witowski JS, Pedziwiatr M, Major P, Budzynski A (2017) Cost-effective, personalized, 3D-printed liver model for preoperative planning before laparoscopic liver hemihepatectomy for colorectal cancer metastases. Int J Comput Assist Radiol Surg 12(12):2047–2054

    PubMed  PubMed Central  Google Scholar 

  34. Asthana S, Lochan R, Jacob M, Medappil N, Reddy J, Saif R, Raja K, Panackel C, Sakpal M, Ganjoo N (2018) Three-dimensional printing with biotexture modeling assisted donor left hepatectomy. Transplantation 102(5):130

    Google Scholar 

  35. Javan R, Zeman MN (2018) A prototype educational model for hepatobiliarry interventions: unvailing the role of graphic designers in medical 3D printing. J Digit Imaging 31(1):133–143

    PubMed  Google Scholar 

  36. Giron-Vallejo O, Garcia-Calderon D, Ruiz-Pruneda R, Cabello-Laureano R, Domenech- Abellan E, Fuster-Soler JL, Ruiz-Jimenez JI (2018) Three-dimensional printed model of bilateral Wilms tumor: a useful tool for planning nephron sparing surgery. Pediatr Blood Cancer 65(4):e26894

    Google Scholar 

  37. Glybochko PV, Rapoport LM, Alyaev YG, Sirota ES, Bezrukov EA, Fiev DN, Byadretdinov IS, Bukatov MD, Letunovskiy AV, Kolorev DO (2018) Multiple application of three-dimensional soft kidney models with localized kidney cancer: a pilot study. Urologia J 85(3):99–105

    Google Scholar 

  38. Porpiglia F, Bertolo R, Checcucci E, Amparore D, Autorino R, Dasgupta P, Wiklund P, Tewari A, Liatsikos E, Fiori C (2017) Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol 36(2):201–207

    PubMed  Google Scholar 

  39. Madurska MJ, Poyade M, Eason D, Rea P, Watson AJ (2017) Development of a patient-specific 3D-printed liver model for preoperative planning. Surg Innov 24(2):145–150

    PubMed  Google Scholar 

  40. Andolfi C, Plana A, Kania P, Banerjee PP, Small S (2017) Usefulness of three-dimensional modeling in surgical planning, resident training, and patient education. ***J Laparoendosc Adv Surg Techn A 27(5):512–515

    Google Scholar 

  41. Zheng YX, Yu DF, Zhao JG, Wu YL, Zheng B (2016) 3D printout models vs. 3D-rendered images: which is better for preoperative planning. J Surg Educ 73(3):518–523

    PubMed  Google Scholar 

  42. Koleilat I, Jaeggli M, Ewing JA, Androes M, Simionescu DT, Eidt J (2016) Interobserver variability in physician-modified endograft planning by comparison with a three-dimensional printed aortic model. J Vasc Surg 64(6):1789–1796

    PubMed  Google Scholar 

  43. Bernhard JC, Isotani S, Matsugasumi T, Duddalwar V, Hung AJ, Suer E, Baco E, Satkunasivam R, Djaladat H, Metcalfe C, Hu B, Wong K, Park D, Nguyen M, Hwang D, Bazargani ST, De Castro Abreu AL, Aron M, Ukimura O, Gill IS (2016) Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education. World J Urol 34(3):337–345

    PubMed  Google Scholar 

  44. Itagaki MW (2015) Using 3D printed models for planning and guidance during endovascular intervention: a technical advance. Diagn Interv Radiol 21(4):338–341

    PubMed  PubMed Central  Google Scholar 

  45. Souzaki R, Kinoshita Y, Ieiri S, Hayashida M, Koga Y, Shirabe K, Hara T, Maehara Y, Hashizume M, Taguchi T (2015) Three-dimensional liver model based on preoperative CT images as a tool to assist in surgical planning for hepatoblastoma in a child. Pediatr Surg Int 31(6):593–596

    PubMed  Google Scholar 

  46. Zein NN, Hanouneh IA, Bishop BP, Samaan M, Eghtesad B, Quintini C, Miller C, Yerian L, Klatte R (2013) Three-dimensional print of a liver for preoperative planning in living donor liver transplantation. Liver Transplant 19(12):1304–1310

    Google Scholar 

  47. Ajao MO, Clark NV, Kelil T, Cohen SL, Einarsson JI (2017) Case report: three-dimensional printed model for deep infiltrating endometriosis. J Minim Invasive Gynecol 24(7):1239–1242

    PubMed  Google Scholar 

  48. Wake N, Rude T, Kang SK, Stifelman MD, Borin JF, Sodickson DK, Wang WC, Chandarana H (2017) 3d printed renal cancer models derived from MRI data: application in pre-surgical planning. Abdom Radiol 42(5):1501–1509

    Google Scholar 

  49. Vernez SL, Spradling K, Dolan B, Dutta R, Okhunov Z, Youssef RF, Kaler K, Landman J, Clayman RV (2016) Three-dimensional printed kidney models with extensive urolithiasis: an over resident educational tool for planning percutaneous nephrolithotomy. J Urol 195(4):e212–e213

    Google Scholar 

  50. Gershman B, Psutka SP, Matsumoto JM, King BF, Kawashima A, Morris JM, Leibovich BC (2016) Use of personalized printed three-dimensional kidney models for simulation before nephron sparing surgery: methodology and examples from a case series. Urol Pract 3(2):124–133

    Google Scholar 

  51. Dickinson KJ, Matsumoto J, Cassivi SD, Reinersman JM, Flatcher JG, Morris J, Wong Kee Song LM, Blackmon SH (2015) Individualizing management of complex esophageal pathology using three-dimensional printed models. Ann Thorac Surg 100(2):692–697

    PubMed  Google Scholar 

  52. Rajagopal V, Janardan R, Miyaoka R, Monga M, Sweet RM (2009) Modeling and simulation for flexible utheroscopy. J Endourol 23(6):1035–1036

    Google Scholar 

  53. Byadretdinov I, Glybochko P, Alyaev Y, Rapoport L, Bezrukov E, Sirota E (2018) Application of 3d printed models for localized renal cancer treatment. Eur Urol Suppl 17(2):e669–e670

    Google Scholar 

  54. Christiansen AR, Shorti RM, Smith CD, Prows WC, Bishoff JT (2018) Intraoperative utilization of advanced imaging modalities in a complex kidney stone case: a pilot case study. World J Urol 36(5):733–743

    PubMed  Google Scholar 

  55. Lee H, Nguyen NH, Hvang SI, Lee HJ, Hong SH, Byun SS (2018) Personalized 3d kidney model produced by rapid prototyping method and its usefulness in clinical applications. Int Braz J Urol 44(5):857–858

    Google Scholar 

  56. Schmit C, Matsumoto J, Yost K, Alexander A, Ness L, Kurup AN, Atwell T, Leibovich B, Smith G (2018) Impact of a 3D printed model on patients’ understanding of renal cryoablation: a prospective pilot study. Abdom Radiol (NY) 44(1):304–309

    Google Scholar 

  57. Li A, Tang R, Rong ZX, Zeng JP, Xiang CH, Yu LH, Zhao WP, Dong JH (2018) The use of three-dimensional printing model in the training of choledochoscopy techniques. World J Surg 42(12):4033–4038

    PubMed  PubMed Central  Google Scholar 

  58. Tang R, Ma LF, Li A, Yu LH, Rong ZX, Zhang XJ, Xiang CH, Liao HE, Dong JH (2018) Choledochoscopic examination of a three-dimensional printing model using augmented reality techniques: a preliminary proof of concept study. Surg Innov 25(5):492–498

    PubMed  Google Scholar 

  59. Wake N, Bjurlin MA, Rostami P, Chandarana H, Huang WC (2018) three-dimensional printing and augmented reality: enhanced precision for robotic assisted partial nephrectomy. Urology 116:227–228

    PubMed  Google Scholar 

  60. Maddox MM, Feibus A, Liu J, Wang JL, Thomas R, Silberstein JL (2018) 3D-printed soft-tissue physical models of renal malignancies for individualized surgical simulation: a feasibility study. J Robot Surg 12(1):27–33

    PubMed  Google Scholar 

  61. Yang T, Lin S, Xie Q, Ouyang W, Tan T, Li J, Chen Z, Yang J, Wu H, Pan J, Hu C, Zou Y (2018) Impact of 3D printing technology on the comprehension of surgical liver anatomy. Surg Endosc. https://doi.org/10.1007/s00464-017-5457-5

    Article  PubMed  PubMed Central  Google Scholar 

  62. Porpiglia F, Bertolo R, Checcucci E, Amparore D, Autorino R, Dasgupta P, Wiklund P, Tewari A, Liatsikos E, Fiori C (2018) Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists’ and patients’ perception. World J Urol 36(2):201–207

    PubMed  Google Scholar 

  63. Shibata E, Takao H, Amemiya S, Ohtomo K (2017) 3D-printed visceral aneurysm models based on CT data for simulations of endovascular embolization: evaluation of size and shape accuracy. AJR 209(2):243–247

    PubMed  Google Scholar 

  64. Takao H, Amemiya S, Shibata E, Ohtomo K (2017) 3D printing of preoperative simulation models of a splenic artery aneurysm: precision and accuracy. Acad Radiol 24(5):650–653

    PubMed  Google Scholar 

  65. 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 tumor resections prior to robot-assisted laparoscopic partial nephrectomy. BJU Int 119(4):598–604

    Google Scholar 

  66. Atalay HA, Ulker V, Alkan I, Canat HL, Ozkuvanci U, Altunrende F (2016) Impact of three-dimensional printed pelvicaliceal system models on residents’ understanding of pelvicaliceal system anatomy before percutaneous nephrolithotripsy surgery: a pilot study. J Endourol 30(10):1132–1137

    PubMed  Google Scholar 

  67. 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

    PubMed  Google Scholar 

  68. You JH, Kang SG, Kim BM (2013) A novel measurement technique for the design of fenestrated stent grafts: comparison with three-dimensional aorta models. Exp Clin Cardiol 18(1):48–52

    PubMed  PubMed Central  Google Scholar 

  69. Sampogna G, Pugliese R, Elli M, Vanzulli A, Forgione A (2017) Routine clinical application of virtual reality in abdominal surgery. Minim Invasive Ther 26(3):135–143

    Google Scholar 

  70. Kelly B, Casey C, Simpson D, O’Cearbhaill E, Hegazy M, McCann J, Mulvin D, Maguire B (2017) 3D printing of renal malignancies and their arterial supply to improve outcomes in laparoscopic partial nephrectomy. Ir J Med Sci 186(2):s96

    Google Scholar 

  71. Bundy JJ, Weadock WJ, Chick JFB, Srinivasa RN, Patel N, Jonson E, Khayat M, Jeffers B, Gemmete JJ, Srinivasa RN (2018) Three-dimensional printing facilitates creation of a biliary endoscopy phantom for interventional radiology-operated endoscopy training. Curr Probl Diagn Radiol 48:456–461

    PubMed  Google Scholar 

  72. Sahnan K, Adegbola SO, Tozer PJ, Patel U, Ilangovan R, Warusavitarne J, Faiz OD, Hart AL, Philips RKS, Lung PFC (2018) Innovation in the imaging of perianal fistula: a step towards personalized medicine. Ther Adv Gastroenterol. https://doi.org/10.1177/1756284818775060

    Article  Google Scholar 

  73. Sanchez-Sanchez A, Giron-Vallejo O, Ruiz-Pruneda R, Fernandez-Ibieta M, Garcia-Calderon D, Villamil V, Gimenez-Aleixandre MC, Montoya-Rangel CA, Bermejo JPH (2018) Three-dimensional printed model and virtual reconstruction: an extra tool for pediatric solid tumors surgery. Eur J Pediatr Surg Rep 6(1):e70–e76

    Google Scholar 

  74. Golab A, Smektala T, Krolikowski M, Slojewski M (2018) Percutaneous nephrolithotomy using an individual 3-dimensionally printed surgical guide. Urol Int 100(4):485–487

    PubMed  Google Scholar 

  75. Holzem KM, Jayarajan S, Zayed MA (2018) Surgical planning with three-dimensional printing of a complex renal artery aneurysm. J Vasc Surg 4(1):19

    Google Scholar 

  76. Schwaiger J, Kagerer M, Traeger M, Gillen S, Dobritz M, Kleeff J, Feussner H and Lueth TC (2012) Manufacturing of patient-specific pancreas models for surgical resections. In: IEEE international conference on robotics and biomimetics (Robio 2012)

  77. Mahmoud A, Bennett M (2015) Introducing three-dimensional printing of a human anatomic pathology specimen: potential benefits for undergraduate and postgraduate education and anatomic pathology practice. Arch Pathol Lab Med 130(8):1048–1051

    Google Scholar 

  78. Xiang N, Fang C, Fan Y, Yang J, Zeng N, Liu J, Zhu W (2015) Application of liver three-dimensional printing in Hepatectomy for complex massive hepatocarcinoma with rare variations of portal vein: preliminary experience. Int J Clin Exp Med 8(10):18873–18878

    PubMed  PubMed Central  Google Scholar 

  79. Kong X, Nie L, Zhang H, Wang Z, Ye Q, Tang L, Li J, Huang W (2016) Do three-dimensional visualization and three-dimensional printing improve hepatic segment anatomy teaching? A randomized controlled study. J Surg Educ 73(2):264–269

    PubMed  Google Scholar 

  80. Kong X, Nie L, Zhang H, Wang Z, Ye Q, Tang L, Huang W, Li J (2016) Do 3D printing models improve anatomical teaching about hepatic segments to medical students? A randomized controlled study. World J Surg 40(8):1969–1976

    PubMed  Google Scholar 

  81. Watson RA (2014) A low-cost surgical application of additive fabrication. J Surg Educ 71(1):14–17

    PubMed  Google Scholar 

  82. Meining A, Roppenecker DB, Luth TC (2015) Development and evaluation of a 3D-printed overtube system made for endoscopic submucosal dissection (ESD). Gastrointest Endosc 81(5):157–158

    Google Scholar 

  83. 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

    PubMed  Google Scholar 

  84. Celby JB, Heaton CM, Rosen D (2011) Intervention planning tool incorporating rapid prototyping and manufacturing technologies for vascular/interventional radiologists. Int J Comput Assist Radiol 6:s337

    Google Scholar 

  85. Conversano F, Franchini R, Demitri C, Massoptier L, Montagna F, Maffezzoli A, Malvasi A, Casciaro S (2011) Hepatic vessel segmentation for 3D planning of liver surgery. Experimental evaluation of a new fully automatic algorithm. Acad Radiol 18(4):461–470

    PubMed  Google Scholar 

  86. Luzon JA, Andersen BT, Stimec BV, Fasel JHD, Bakka AO, Kazaryan AM, Ignjatovic D (2018) Implementation of 3D-printed superior mesenteric vascular models for surgical planning and/or navigation in right colectomy with extended D3 mesenterectomy: comparison of virtual and physical models to the anatomy found at surgery. Surg Endosc 33(2):567–575

    PubMed  Google Scholar 

  87. Yang TY, Tan TB, Yang JL, Pan J, Hu C, Li JH, Zou Y (2018) The impact of using three-dimensional printed liver models for patient education. J Int Med Res 46(4):1570–1578

    PubMed  PubMed Central  Google Scholar 

  88. Lin JC, Myers E (2016) Three-dimensional printing for preoperative planning of renal artery aneurysm surgery. J Vasc Surg 64(3):810

    PubMed  Google Scholar 

  89. Ng TL, Li CF, Kan WM, Ng CM, Kan CF, Ngai HY, Au WH (2017) 3D printing of kidney models for urological surgeries: our initial experience. Int J Urol 24:45

    Google Scholar 

  90. Rude T, Wake N, Sodickson DK, Stifelman M, Borin J, Chandarana H, Huang WC (2016) An analysis of the effect of 3D printed renal cancer models on surgical planning. Int J Comput Assist Radiol 11(1):s91

    Google Scholar 

  91. Que W, Zong L (2016) Application of 3D printing techniques in pediatric living donor liver transplantation. Transplantation 100(5):s170–s171

    Google Scholar 

  92. Souzaki R, Kinoshita Y, Ieiri S, Kawakubo N, Koga Y, Jimbo T, Obata S, Miyoshi K, Kohashi K, Oda Y, Hara T, Hashizume M, Taguchi T (2015) Efficacy of three-dimensional printing model based on preoperative CT images for the surgery of pediatric malignancies. Pedriatr Blood Cancer 62:s189

    Google Scholar 

  93. Kumar R, Rao N, Ramachandran R, Singh P, Tandon N (2014) Laparoscopic adrenalectomy for pheochromocytoma: comparative outcome analysis of small versus large tumors. Int J Urol 21:a111–112

    Google Scholar 

  94. Wallach D, Peterhans M, Brun B, Banz V, Candinas D, Weber S (2012) Development of a surgical template system for application in image guided liver surgery. HBP 14:131

    Google Scholar 

  95. Byun SS, Lee H, Hong SK, Lee SE (2018) Personalized 3D kidney model produced by rapid prototyping method and its usefulness in clinical applications. Int J Urol 25:362

    Google Scholar 

  96. Chan TCT, Kan CF, Kan RWM, Li TCF, Ng CM, Ngai HY, Au WH (2018) Application of 3D printing technology in laparoscopic donor nephrectomy. Surg Pract 22:22

    Google Scholar 

  97. Gomez-Perez B, Lopez-Lopez V, Robles R, Garcia D, Lopez-Conesa A, Brusadin R, Alconchel F, Navarro A, Parrilla P (2018) Applicability of 3D printing in the planning of complex liver surgery (LIV3DPRINT). HPB 20:s498

    Google Scholar 

  98. Liu DT, Sun ZH, Chaichana T, Ducke W, Fan ZM (2018) Patient-specific 3D printed models of renal tumours using home-made 3D printer in comparison with commercial 3D printer. J Med Imaging Health Inform 8(2):303–308

    Google Scholar 

  99. Yu X, Gang F, Mingfeng L, Mingji Y, Xi-Aming P, Weiqin H (2018) Three dimensional printing assisted laparoscopic partial nephrectomy for patients with renal cancer. Int J Urol 25:389

    Google Scholar 

  100. Nickel F, Hendrie JD, Kowalewski KF, Bruckner T, Garrow CR, Mantel M, Kenngott HG, Romero P, Fischer L, Müller-Stich BP (2016) Sequential learning of psychomotor and visuospatial skills for laparoscopic suturing and knot tying—a randomized controlled trial “The Shoebox Study” DRKS00008668. Langenbecks Arch Surg 401(6):893–901

    PubMed  Google Scholar 

  101. Marone EM, Rinaldi LF, Pietrabissa A, Argenteri A (2017) Effectiveness of 3D printed models in obtaining informed consent to complex aortic surgery in 25 patients. J Cardiovasc Surg 59(3):488–489

    Google Scholar 

  102. Steinemann DC, Müller PC, Apitz M, Nickel F, Kenngott HG, Müller-Stich BP, Linke GR (2018) An ad hoc three dimensionally printed tool facilitates intraesophageal suturing in experimental surgery. J Surg Res 223:87–93

    PubMed  Google Scholar 

Download references

Acknowledgements

The authors want to acknowledge Ms. Chiara Rebuffi (Fondazione IRCCS Policlinico San Matteo, Scientific Library) for her support in the definition of the search strings on scientific databases. The present work has been supported by the research project “Pancreatic ductal adenocarcinoma (PDAC): development of a new communication platform between radiologists, surgeons and pathologists based on virtual and 3D printed reconstructions of the pancreas and the tumor mass” (PE-2013-02358887) funded by the Italian Ministry of Health. The study falls under the framework of the 3D@UniPV project (ww.unipv.it/3d), one of the strategic research areas of the University of Pavia.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stefania Marconi.

Ethics declarations

Disclosures

Andrea Pietrabissa, Stefania Marconi, Erika Negrello, Valeria Mauri, Andrea Peri, Luigi Pugliese, Enrico Maria Marone e Ferdinando Auricchio have no conflicts of interest or financial ties to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

figure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pietrabissa, A., Marconi, S., Negrello, E. et al. An overview on 3D printing for abdominal surgery. Surg Endosc 34, 1–13 (2020). https://doi.org/10.1007/s00464-019-07155-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00464-019-07155-5

Keywords

Navigation