Updates in Surgery

, Volume 71, Issue 1, pp 185–186 | Cite as

Use of 3D models for planning, simulation, and training in vascular surgery

  • Andrea MogliaEmail author
  • Gregorio Di Franco
  • Luca Morelli
Letter to the Editor

Dear Editor,

We read with great interest the article by Pugliese et al. entitled “The clinical use of 3D printing in surgery” recently published by Updates in Surgery [1].

In the past years, 3D printing has seen an almost exponential growth in several fields, including medicine and surgery, as testified by the increasing number of published articles. This success was fostered by technological progresses on manufacturing processes allowing to build layer by layer 3D objects at higher resolution.

In surgery, knowledge of patient anatomy has traditionally been based on analysis of 2D radiological images. The advent of computer-assisted surgery has improved the understanding of patients’ anatomy in the preoperative phase, including complex cases, enabling reconstruction of virtual 3D models starting from radiological datasets, which can be viewed on computer screens. 3D printing pushes further comprehension of anatomy allowing surgeons to touch and feel a physical model, complementing...


Compliance with ethical standards

Conflict of interest

Authors declare that they have no conflict of interest.

Research involving human participants and/or animals

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

Informed consent

For this type of study formal consent is not required.


  1. 1.
    Pugliese L, Marconi S, Negrello E, Mauri V, Peri A, Gallo V, Auricchio F, Pietrabissa A (2018) The clinical use of 3D printing in surgery. Updates Surg 70:381–388CrossRefGoogle Scholar
  2. 2.
    Gossetti B, Martinelli O, Ferri M, Silingardi R, Verzini F, IRENE Group Investigators (2018) Preliminary results of endovascular aneurysm sealing from the multicenter Italian Research on Nellix Endoprosthesis (IRENE) study. J Vasc Surg 67:1397–1403CrossRefGoogle Scholar
  3. 3.
    Gomes EN, Dias RR, Rocha BA, Santiago JAD, Dinato FJS, Saadi EK, Gomes WJ, Jatene FB (2018) Use of 3D Printing in Preoperative Planning and Training for Aortic Endovascular Repair and Aortic Valve Disease. Braz J Cardiovasc Surg 33(5):490–495CrossRefGoogle Scholar
  4. 4.
    Scarcello E, Ferrari M, Rossi G, Berchiolli R, Adami D, Romagnani F, Mosca F (2010) A new preoperative predictor of outcome in ruptured abdominal aortic aneurysms: the time before shock (TBS). Ann Vasc Surg 24:315–320CrossRefGoogle Scholar
  5. 5.
    Vento V, Cercenelli L, Mascoli C, Gallitto E, Ancetti S, Faggioli G, Freyrie A, Marcelli E, Gargiulo M, Stella A (2018) The Role of Simulation in Boosting the Learning Curve in EVAR Procedures. J Surg Educ 75:534–540CrossRefGoogle Scholar

Copyright information

© Italian Society of Surgery (SIC) 2019

Authors and Affiliations

  • Andrea Moglia
    • 1
    Email author
  • Gregorio Di Franco
    • 2
  • Luca Morelli
    • 1
    • 2
  1. 1.EndoCAS, Center for Computer Assisted Surgery, University of PisaPisaItaly
  2. 2.General Surgery Unit, Department of Surgery, Translational and New Technologies in MedicineUniversity of PisaPisaItaly

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