Skip to main content
  • Technical advance
  • Open access
  • Published:

From digital world to real life: a robotic approach to the esophagogastric junction with a 3D printed model

Abstract

Background

Three-dimensional (3D) printing may represent a useful tool to provide, in surgery, a good representation of surgical scenario before surgery, particularly in complex cases. Recently, such a technology has been utilized to plan operative interventions in spinal, neuronal, and cardiac surgeries, but few data are available in the literature about their role in the upper gastrointestinal surgery. The feasibility of this technology has been described in a single case of gastroesophageal reflux disease with complex anatomy due to a markedly tortuous descending aorta.

Methods

A 65-year-old Caucasian woman was referred to our Department complaining heartburn and pyrosis. A chest computed tomography evidenced a tortuous thoracic aorta and consequent compression of the esophagus between the vessel and left atrium. A “dysphagia aortica” has been diagnosed. Thus, surgical treatment of anti-reflux surgery with separation of the distal esophagus from the aorta was planned. To define the strict relationship between the esophagus and the mediastinal organs, a life-size 3D printed model of the esophagus including the proximal stomach, the thoracic aorta and diaphragmatic crus, based on the patient’s CT scan, was manufactured.

Results

The robotic procedure was performed with the da Vinci Surgical System and lasted 175 min. The surgeons had navigational guidance during the procedure since they could consult the 3D electronically superimposed processed images, in a “picture-in-picture” mode, over the surgical field displayed on the monitor as well as on the robotic headset. There was no injury to the surrounding organs and, most importantly, the patient had an uncomplicated postoperative course.

Conclusions

The present clinical report highlights the feasibility, utility and clinical effects of 3D printing technology for preoperative planning and intraoperative guidance in surgery, including the esophagogastric field. However, the lack of published data requires more evidence to assess the effectiveness and safety of this novel surgical-applied printing technology.

Peer Review reports

Introduction

The importance of intraoperative safety for both patients and surgeons and the concept of “tailored surgery” have become one of the main topics in surgical research over the past few years [1]. Patient-centered preoperative planning is required to achieve accurate knowledge of the target anatomy, thereby helping surgeons during critical steps and potential complications [2]. In recent years, the rise of robot-assisted surgery for a variety of surgical procedures has significantly reshaped surgical practice [3,4,5], although the safety of the patient remains essential. The robotic platform enables surgeons to operate more accurately during difficult procedures compared to conventional laparoscopy, which provides high resolution three-dimensional (3D) operative views and improves depth perception, as well as superior instrument handling [6, 7]. 3D printing, in addition to the standard medical imaging, may represent an invaluable tool to allow a good representation of surgical scenario, particularly in challenging cases [8]. Additionally, the 3D models provide the surgeon with an opportunity to review, plan, and study the procedure in detail even days before the surgery.

However, from its first description in the 1980s, 3D printing has been limited in maxillofacial and orthopedic surgeries and in particular for implants and prostheses [9, 10]. Recently, the technology has been extended to spinal surgery, neurosurgery as well as cardiac surgery [11,12,13,14,15]. Evidence in gastrointestinal surgery is still lacking. Here we report the first case using the combination of 3D printing technology and robotic esophagogastric surgery in a condition of achalasia with complex anatomy due to a markedly tortuous descending aorta.

Materials and methods

A 65-year-old Caucasian woman presented with heartburn and pyrosis. She also experienced intermittent mild dysphagia for solid food. The patient had no history of other relevant diseases and no abnormal family or medication history of note. She denied prior weight loss, halitosis, ingestions of caustic substances, excessive alcohol consumption, hematemesis, and melena. The physical examination was unremarkable. No abnormalities were found at conventional esophageal barium swallow and upper endoscopy revealed evidence of Barrett’s esophagus histologically confirmed as uncomplicated intestinal metaplasia. A lower esophageal sphincter (LES) hypotension, shortening of the abdominal LES, ineffective peristalsis and type 2 esophagogastric junction (EGJ) subtype (small hiatus hernia) resulted from esophageal high-resolution manometry (HRM). Additionally, a series of transmitted cardiac pulsations unrelated to swallows were found on the distal esophagus just above the EGJ. A thorax CT scan was helpful in define the anatomical relations of the esophagus with the major thoracic vessels. It highlighted a compression of the esophagus between a tortuous thoracic aorta and left atrium, allowing to diagnose a dysphagia aortica. Thus, surgical treatment of anti-reflux surgery with separation of the distal esophagus from the aorta was planned. To define the strict relationship between the esophagus and the mediastinal organs, a life-size 3D printed model of the esophagus including the proximal stomach, the thoracic aorta and diaphragmatic crus, based on the patient’s CT scan, was manufactured. The imaging data were segmented to outline the relevant structures then converted to a 3D triangulated surface mesh file suitable for fabrication with the assistance of a 3D printing and manufacturing company (3dific Srl, Perugia, Italy) (Fig. 1).

Fig. 1
figure 1

(a) Basal axial (transverse) image of CT scans of the thorax/upper abdomen. (b) Segmented axial (transverse) image of CT scans of the thorax/upper abdomen. (c) Basal coronal image of CT scans of the thorax/upper abdomen. (d) Segmented coronal image of CT scans of the thorax/upper abdomen. (e) Final 3D reconstruction. E, Esophagus; Ao, Aorta; Dia, Diaphragm

The segmentation and design of model were reviewed for accuracy by the surgeon and engineer. Finally, the model was realized in 48 working hours by means of a stereolithography 3D printer selectively curing resin (Fig. 2). The cost associated with 3D printed model production was 230,00 Euros. Using the 3D model of the esophago-gastric junction allowed surgeon to preoperatively locate the general position and proximity of tortuous thoracic aorta with the esophagus as well as surrounding tissues. Particularly, the surgical team measured the thoracic aorta positioning and esophago-gastric structures on the 3D model before operating then applied the patient-tailored surgical anatomy in the surgical field. This model enabled surgeons to verify the position of critical structures and to discuss all possible approaches and strategies to operate as well as plan all possible critical maneuvers. This provides proof that the operation can be performed safely through less invasive techniques, without using conventional approach to dominate such complex case. Institutional review board approval was not required, since the privacy and personal identity information of patient were protected, i.e., all the data were analyzed anonymously, and the patient was treated with approved diagnostic and therapeutic procedures according to generally accepted standards of care. Anyway, the patient gave informed written consent to participate to this study.

Fig. 2
figure 2

(a) The imaging data were segmented to highlight and color code the distal esophagus, upper third of stomach, aorta and diaphragmatic crus. (b) A virtual model was converted into 3D printed model, made of photopolymer resin, showing distal esophagus and its relationship with the mediastinal structures. E, Esophagus; Ao, Aorta; Dia, Diaphragm

Results

The robotic procedure was performed with the da Vinci Surgical System (Xi, Intuitive Surgical Inc., Sunnyvale, CA, USA). The manipulation of 3D prototype each time deemed necessary by on-console surgeon ensured adequate orientation on the surgical field and identification of critical anatomic landmarks (Fig. 3). Furthermore, the surgeons had navigational guidance during the procedure, since they could consult the 3D processed images electronically superimposed, in a “picture-in-picture” mode, over the surgical field displayed on the monitor system and on a robotic headset. The procedure started with the division of gastro-hepatic ligament and dissection of the phreno-esophageal membrane to expose and dissect the diaphragmatic pillars. A retro-esophageal window was obtained for the positioning of an umbilical tape, pulling up the esophagus and exposing the hiatus. Periesophageal mediastinal dissection was initiated bluntly, taking care to preserve the aortic plane behind the esophagus. This step was carried out very carefully and thermal devices were limited during dissection to prevent any vascular injuries. Furthermore, the separation of the esophagus from the aorta was obtained as far as possible into mediastinum until 3 cm of the esophagus were transposed into the abdomen under no tension (Fig. 4). The crura were then closed from the right of the esophagus with interrupted non-absorbable sutures placed 8 to 10 mm apart, 10 mm back from the crural edge. A Nissen fundoplication was then completed. There was no injury to the surrounding organs. The total operative time was 175 min. The patient had an uncomplicated postoperative course and was discharged home on the third postoperative day.

Fig. 3
figure 3

Model in the operating theatre with the operating robot ready to use

Fig. 4
figure 4

Intraoperative view of the patient anatomy highlighting the “picture-in-picture” mode. E, Esophagus; Ao, Aorta; RP, Right Pillar; L, liver

Discussion

In this case report, we assessed the feasibility, utility and clinical impact of a novel surgical-applied technology for preoperative planning and intraoperative guidance for a rare case of dysphagia aortica treated by robotic approach. Although three-dimensional printing was described for the first time more than three decades ago, its diffusion in digestive surgery has increased only over the last years [16]. Nevertheless, few data are still available in the literature about its role in esophageal surgery. Dickinson KJ et al. [11] described for the first time the application of 3D modelling to complex esophageal cases. In a patient after a left pneumonectomy and thoracic aorta replacement by means of Dacron graft, complicated by an aorto-esophageal fistula requiring aortic bypass and esophageal diversion with feeding gastrostomy, three-dimensional modelling facilitated the complex definitive endoscopic-surgical treatment. The endoscopic mucosal resection, as well as argon plasma ablation of excluded esophagus followed by transection of the distal esophagus, was allowed by the preoperative treatment simulation and intraoperative model manipulation to obtain an accurate real-time recognition of critical anatomic landmarks. In the same way, another 3D model was used in a patient with multiple esophageal diverticula facilitating the most appropriate surgical strategy in a preoperative setting. To the best of our knowledge, no other study addressing the application of the 3D printed model in upper gastrointestinal surgery is conducted and no consistent data as regard its usefulness are available. Here we demonstrated the feasibility of creating a rigid life-size 3D printed model of the esophagus including the thoracic aorta, the upper third of the stomach, and diaphragmatic crus, using images imported from the standard computerized tomography for the purpose of preoperative procedure planning and external guidance in the intraoperative setting. The preoperative study of the patient-tailored surgical anatomy represents one of the cornerstones of 3D printing. Hamabe et al. [17] created a 3D printed pelvic model to improve the comprehension of pelvic anatomy during laparoscopic surgery for rectal cancer. As a result, the preliminary understanding of complex anatomical relations was reflected in a more safe and effective intervention. In the same way, Garcia-Granero A et al. [18] proposed a 3D model for preoperative planning of superior mesenteric as well as ileocolic vascular pattern to facilitate the lymphadenectomy during complete mesocolic excision for right colon cancer. They discussed that the walk down of vascular roots before laparoscopic right hemicolectomy could reduce the risk of venous injury and intra-operative hemorrhage. The advantage of technological development to create 3D model and tool for surgical use from CT image elaboration is represented by the recognition, in a real size mode, of the interspatial relationship between anatomical structures of the target area [19]. Furthermore, the availability of the model several days prior to surgery represents the mainstay of 3D printing technology: all surgical team members can discuss the surgical strategy evaluating all possible approaches and solutions to perform the operation as well as defining critical maneuvers in a calmer condition than surgical theatre. In the reported case, the 3D model improved the preoperative discussions with better evaluation of the target anatomy and helped the surgeon to decisions to proceed with robotic rather than laparoscopic, open transabdominal as well as transthoracic approach. During the operation, the visualization of the tortuous thoracic aorta and its proximity to the distal esophagus from the 3D model was fundamental to the safe outcome of the procedure, allowing the surgeons to recognize in detail the relative positions of critical structures. In this way, a real model in the surgeon’s hands overcame the absence of tactile feedback of the robotic technology and the limitations of 3D CT images manipulation on the screen. Reducing operative time represents another important advantage [20]. The preoperative team discussion and the preliminary intervention plan with the evaluation of all possible solutions, the definition of dissection planes, and the simulation of critical maneuvers allowed the surgeon to focus on other key points resulting in a safer surgery [20, 21]. Moreover, it is important to emphasize that the 3D printed model influences the planning of the kind of surgery. Specifically, in the absence of preoperative recognition of critical structures as well as interspatial relationship between anatomical structures of the target area by means of 3D model, the operation would not have been conducted with the robotic approach. Accordingly, in recent years have been reported encouraging results of pre-surgical simulation on a patient-specific tissue-like 3D model [22]. The recent technological advances lead to print any kind of human parts, which can be made of soft and deformable materials mimicking the physical properties of human tissues [8, 19, 23]. Surgeons of any disciplines and expertise have the chance to improve their surgical skills through multiple repetitions of the same maneuvers outside the operating room getting ready for a real intervention before it is carried out on the patient. Von Rundstedt et al. [22] described their experience on 10 patients with renal tumors who underwent robot-assisted laparoscopic partial nephrectomy after preoperative rehearsal using 3D silicone patient-specific renal models. They demonstrated the same results in tumor resection time, resected tumor volume and morphology between the model and patient’s kidney, suggesting that the simulation platform may represent an invaluable tool for surgical decision-making, preoperative rehearsal as well as surgical training. Similar results were reported also by Pugliese L et al. [19] after preoperative simulation of robotic live-donor nephrectomy and robotic correction of splenic artery aneurysm. They highlighted that the training on the same patient’s anatomy could increase the confidence during the operation. Of course, this would be one of the major advantages over conventional as well as a virtual reality-based surgical simulator for minimally invasive technique. Moser A et al. [24] conducted a studied aiming at underlyine the difference in experience between digital and physical handling in brick-puzzle games. Interestingly, they report that resistance conveys a kind of inertia by means of the fingers feeling the tactile sense, in the experiment conducted in a real world. In the virtual reality, on the contrary, this advantage is lost even if the software included a feedback mechanism. They postulated that the computer may not produce the same detailed awareness that is created via our many sensory experiences. Virtual feedback will therefore always be unsatisfactory because it is not anchored in the real life [25].

The main limitations of 3D printing included the time as well as relatively high costs of production.

The printing process, from the elaboration of the image to production of the model, could take hours to several days [21, 26, 27]. Of course, the more complex the model, the more time is needed to its production. Actually, for these reasons, the 3D printing remains a prerogative of elective surgery [26, 27]. It is of note that, since its primary use consists of preoperative planning, training, and simulation, 3D printing should be prepared in advance in order to be properly applied. It is claimed that variable costs depend on the type of printing technique, materials used, and workload of dedicated staff [20, 21, 26, 27]. Anyway, the sharing of the printing platform and the optimization of production staff members by multiple users could reduce the expenditures [26].

Conclusions

The technological innovations, such as 3D printing and robotic surgery, represent an unimaginable progress until a few years ago. The present report underlines the feasibility, advantage and clinical impact of 3D printing technology for preoperative planning and intraoperative guidance for esophagogastric surgery. However, the lack of published data requires more evidence to assess the effectiveness and safety of this novel surgical-applied printing technology.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

3D:

three-dimensional

EGJ:

esophagogastric junction

HRM:

high resolution manometry

LES:

lower esophageal sphincter

References

  1. Diana M, Marescaux J. Robotic surgery. Br J Surg. 2015;102:e15–28. https://0-doi-org.brum.beds.ac.uk/10.1002/bjs.9711.

    Article  CAS  PubMed  Google Scholar 

  2. Abe Y, Itano O, Kitago M, Shinoda M, Yagi H, Hibi T, et al. Computer assisted surgery, preoperative planning and navigation for pancreatic cancer. J Hepatobiliary Pancreat Sci. 2014;21:251–5. https://0-doi-org.brum.beds.ac.uk/10.1002/jhbp.84.

    Article  PubMed  Google Scholar 

  3. ATUG F, CASTLE EP, WOODS M, DAVIS R, THOMAS R. Robotics in urologic surgery: an evolving new technology. Int J Urol. 2006;13:857–63. https://0-doi-org.brum.beds.ac.uk/10.1111/j.1442-2042.2006.01428.x.

    Article  PubMed  Google Scholar 

  4. Rashid HH, Leung Y-YM, Rashid MJ, Oleyourryk G, Valvo JR, Eichel L. Robotic surgical education: a systematic approach to training urology residents to perform robotic-assisted laparoscopic radical prostatectomy. Urology. 2006;68:75–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.urology.2006.01.057.

    Article  PubMed  Google Scholar 

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

    Article  Google Scholar 

  6. Uwechue R, Gogalniceanu P, Kessaris N, Byrne N, Chandak P, Olsburgh J, et al. A novel 3D-printed hybrid simulation model for robotic-assisted kidney transplantation (RAKT). J Robot Surg. 2018;12:541–4.

    Article  Google Scholar 

  7. Prasad SM, Prasad SM, Maniar HS, Chu C, Schuessler RB, Damiano RJ. Surgical robotics: impact of motion scaling on task performance. J Am Coll Surg. 2004;199:863–8. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jamcollsurg.2004.08.027.

    Article  PubMed  Google Scholar 

  8. Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor H-U, et al. 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg. 2010;5:335–41. https://0-doi-org.brum.beds.ac.uk/10.1007/s11548-010-0476-x.

    Article  CAS  PubMed  Google Scholar 

  9. Tam MD, Latham T, Brown JRI, 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;21:760–2. https://0-doi-org.brum.beds.ac.uk/10.1583/14-4810L.1.

    Article  PubMed  Google Scholar 

  10. Igami T, Nakamura Y, Hirose T, Ebata T, Yokoyama Y, Sugawara G, et al. Application of a three-dimensional print of a liver in hepatectomy for small tumors invisible by intraoperative ultrasonography: preliminary experience. World J Surg. 2014;38:3163–6. https://0-doi-org.brum.beds.ac.uk/10.1007/s00268-014-2740-7.

    Article  PubMed  Google Scholar 

  11. Dickinson KJ, Matsumoto J, Cassivi SD, Reinersman JM, Fletcher JG, Morris J, et al. Individualizing Management of Complex Esophageal Pathology Using Three-Dimensional Printed Models. Ann Thorac Surg. 2015;100:692–7.

    Article  Google Scholar 

  12. Chae MP, Lin F, Spychal RT, Hunter-Smith DJ, Rozen WM. 3D-printed haptic “reverse” models for preoperative planning in soft tissue reconstruction: a case report. Microsurgery. 2015;35:148–53. https://0-doi-org.brum.beds.ac.uk/10.1002/micr.22293.

    Article  PubMed  Google Scholar 

  13. Lai ECH, Yang GPC, Tang CN. Robot-assisted laparoscopic liver resection for hepatocellular carcinoma: short-term outcome. Am J Surg. 2013;205:697–702. https://0-doi-org.brum.beds.ac.uk/10.1016/j.amjsurg.2012.08.015.

    Article  PubMed  Google Scholar 

  14. Chung KJ, Hong DY, Kim YT, Yang I, Park YW, Kim HN. Preshaping plates for minimally invasive fixation of calcaneal fractures using a real-size 3D-printed model as a preoperative and intraoperative tool. Foot Ankle Int. 2014;35:1231–6. https://0-doi-org.brum.beds.ac.uk/10.1177/1071100714544522.

    Article  PubMed  Google Scholar 

  15. 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;19:696–8. https://0-doi-org.brum.beds.ac.uk/10.1093/icvts/ivu174.

    Article  PubMed  Google Scholar 

  16. Gross BC, Erkal JL, Lockwood SY, Chen C, Spence DM. Evaluation of 3D printing and its potential impact on biotechnology and the chemical sciences. Anal Chem. 2014;86:3240–53. https://0-doi-org.brum.beds.ac.uk/10.1021/ac403397r.

    Article  CAS  PubMed  Google Scholar 

  17. Hamabe A, Ito M. A three-dimensional pelvic model made with a three-dimensional printer: applications for laparoscopic surgery to treat rectal cancer. Tech Coloproctol. 2017;21:383–7. https://0-doi-org.brum.beds.ac.uk/10.1007/s10151-017-1622-z.

    Article  CAS  PubMed  Google Scholar 

  18. Garcia-Granero A, Sánchez-Guillén L, Fletcher-Sanfeliu D, Flor-Lorente B, Frasson M, Sancho Muriel J, et al. Application of three-dimensional printing in laparoscopic dissection to facilitate D3-lymphadenectomy for right colon cancer. Tech Coloproctol. 2018;22:129–33. https://0-doi-org.brum.beds.ac.uk/10.1007/s10151-018-1746-9.

    Article  CAS  PubMed  Google Scholar 

  19. Pugliese L, Marconi S, Negrello E, Mauri V, Peri A, Gallo V, et al. The clinical use of 3D printing in surgery. Updat Surg. 2018;70:381–8.

    Article  Google Scholar 

  20. Diment LE, Thompson MS, Bergmann JHM. Clinical efficacy and effectiveness of 3D printing: a systematic review. BMJ Open. 2017;7:e016891. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjopen-2017-016891.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Martelli N, Serrano C, van den Brink H, Pineau J, Prognon P, Borget I, et al. Advantages and disadvantages of 3-dimensional printing in surgery: a systematic review. Surgery. 2016;159:1485–500. https://0-doi-org.brum.beds.ac.uk/10.1016/j.surg.2015.12.017.

    Article  PubMed  Google Scholar 

  22. von Rundstedt FC, Scovell JM, Agrawal S, Zaneveld J, Link RE. Utility of patient-specific silicone renal models for planning and rehearsal of complex tumour resections prior to robot-assisted laparoscopic partial nephrectomy. BJU Int. 2017;119:598–604.

    Article  Google Scholar 

  23. Rasheed K, Mix D, Chandra A. 45 (RF). Numerous applications of 3D printing in vascular surgery. Ann Vasc Surg. 2015;29:643–4. https://0-doi-org.brum.beds.ac.uk/10.1016/j.avsg.2015.04.046.

    Article  Google Scholar 

  24. Moser A, Zimmermann L, Dickerson K, Grenell A, Barr R, Gerhardstein P. They can interact, but can they learn? Toddlers’ transfer learning from touchscreens and television. J Exp Child Psychol. 2015;137:137–55. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jecp.2015.04.002.

    Article  PubMed  Google Scholar 

  25. Schilhab T. Impact of iPads on break-time in primary schools—a Danish context. Oxford Rev Educ. 2017;43:261–75. https://0-doi-org.brum.beds.ac.uk/10.1080/03054985.2017.1304920.

    Article  Google Scholar 

  26. Malik HH, Darwood ARJ, Shaunak S, Kulatilake P, El-Hilly AA, Mulki O, et al. Three-dimensional printing in surgery: a review of current surgical applications. J Surg Res. 2015;199:512–22. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jss.2015.06.051.

    Article  PubMed  Google Scholar 

  27. Li C, Cheung TF, Fan VC, Sin KM, Wong CWY, Leung GKK. Applications of three-dimensional printing in surgery. Surg Innov. 2017;24:82–8. https://0-doi-org.brum.beds.ac.uk/10.1177/1553350616681889.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The authors declare that they have no funding.

Author information

Authors and Affiliations

Authors

Contributions

All authors approved the final manuscript. Study concept and design: LM, FR, DM; Acquisition of data: LM, AR, LDR, EB, GC; Analysis and interpretation of data: LM, FR, DM, VS, LV; Drafting of the manuscript: LM, FR, AR, VS, LDR, LV; Critical revision of the manuscript for important intellectual content: LM, FR, EB, GC, DM; Study supervision: LM, FR, DM, AR. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Luigi Marano.

Ethics declarations

Ethics approval and consent to participate

Institutional review board approval was not required as patient was treated with approved diagnostic and therapeutic procedures according to generally accepted standards of care. Anyway, the patient gave informed written consent to participate to this study.

Consent for publication

A consent for publication is obtained from the patient in a written form.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marano, L., Ricci, A., Savelli, V. et al. From digital world to real life: a robotic approach to the esophagogastric junction with a 3D printed model. BMC Surg 19, 153 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s12893-019-0621-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12893-019-0621-6

Keywords