Download PDF
CC BY-NC-ND 4.0 · Asian J Neurosurg 2019; 14(01): 172-174
DOI: 10.4103/ajns.AJNS_197_18
Original Article

Surgical training for the management of intraoperative aneurysm rupture using a three-dimensional artificial model

Kosuke Kumagai
Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama
,
Kentaro Mori
Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama
,
Satoru Takeuchi
Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama
,
Kojiro Wada
Department of Neurosurgery, National Defense Medical College, Tokorozawa, Saitama
› Author Affiliations
› Further Information
   Permissions and Reprints

Background: Intraoperative aneurysm rupture (IAR) is one of the most dreaded complications of microsurgical cerebral aneurysm clipping. The surgical result is directly affected by whether an operator can control IAR. However, the development of endovascular treatment has decreased the probability of exposure to this situation for neurosurgical residents. Therefore, neurovascular surgeons must develop the skills and mental attitude to deal with IAR through off-the-job training, without conducting actual operations. Materials and Methods: We have developed a tabletop training system using three-dimensional artificial modeling that can be used for daily clinical practice. Results and Conclusions: Our model is useful for training because of its low cost, reusability, and ease of preparation and practice.

Key-words:

Intraoperative aneurysm rupture - surgical training - three-dimensional artificial model

Financial support and sponsorship

Nil.




Publication History

Article published online:
09 September 2022

© 2019. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 

  • References

  • 1 Madhugiri VS, Ambekar S, Pandey P, Guthikonda B, Bollam P, Brown B, et al. The pterional and suprabrow approaches for aneurysm surgery: A systematic review of intraoperative rupture rates in 9488 aneurysms. World Neurosurg 2013;80:836-44.
  • 2 Batjer H, Samson D. Intraoperative aneurysmal rupture: Incidence, outcome, and suggestions for surgical management. Neurosurgery 1986;18:701-7.
  • 3 Elijovich L, Higashida RT, Lawton MT, Duckwiler G, Giannotta S, Johnston SC, et al. Predictors and outcomes of intraprocedural rupture in patients treated for ruptured intracranial aneurysms: The CARAT study. Stroke 2008;39:1501-6.
  • 4 Fridriksson S, Säveland H, Jakobsson KE, Edner G, Zygmunt S, Brandt L, et al. Intraoperative complications in aneurysm surgery: A prospective national study. J Neurosurg 2002;96:515-22.
  • 5 Leipzig TJ, Morgan J, Horner TG, Payner T, Redelman K, Johnson CS, et al. Analysis of intraoperative rupture in the surgical treatment of 1694 saccular aneurysms. Neurosurgery 2005;56:455-68.
  • 6 Sandalcioglu IE, Schoch B, Regel JP, Wanke I, Gasser T, Forsting M, et al. Does intraoperative aneurysm rupture influence outcome? Analysis of 169 patients. Clin Neurol Neurosurg 2004;106:88-92.
  • 7 Schramm J, Cedzich C. Outcome and management of intraoperative aneurysm rupture. Surg Neurol 1993;40:26-30.
  • 8 van Lindert EJ, Böcher-Schwarz HG, Perneczky A. The influence of surgical experience on the rate of intraoperative aneurysm rupture and its impact on aneurysm treatment outcome. Surg Neurol 2001;56:151-6.
  • 9 Hsu CE, Lin TK, Lee MH, Lee ST, Chang CN, Lin CL, et al. The impact of surgical experience on major intraoperative aneurysm rupture and their consequences on outcome: A multivariate analysis of 538 microsurgical clipping cases. PLoS One 2016;11:e0151805.
  • 10 Wong JM, Ziewacz JE, Ho AL, Panchmatia JR, Kim AH, Bader AM, et al. Patterns in neurosurgical adverse events: Open cerebrovascular neurosurgery. Neurosurg Focus 2012;33:E15.
  • 11 Kimura T, Morita A, Nishimura K, Aiyama H, Itoh H, Fukaya S, et al. Simulation of and training for cerebral aneurysm clipping with 3-dimensional models. Neurosurgery 2009;65:719-25.
  • 12 D'Urso PS, Thompson RG, Atkinson RL, Weidmann MJ, Redmond MJ, Hall BI, et al. Cerebrovascular biomodelling: A technical note. Surg Neurol 1999;52:490-500.
  • 13 Wurm G, Tomancok B, Pogady P, Holl K, Trenkler J. Cerebrovascular stereolithographic biomodeling for aneurysm surgery. Technical note. J Neurosurg 2004;100:139-45.
  • 14 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;83:351-61.
  • 15 Benet A, Plata-Bello J, Abla AA, Acevedo-Bolton G, Saloner D, Lawton MT, et al. Implantation of 3D-printed patient-specific aneurysm models into cadaveric specimens: A new training paradigm to allow for improvements in cerebrovascular surgery and research. Biomed Res Int 2015;2015:939387.
  • 16 Aboud E, Aboud G, Al-Mefty O, Aboud T, Rammos S, Abolfotoh M, et al. “Live cadavers” for training in the management of intraoperative aneurysmal rupture. J Neurosurg 2015;123:1339-46.
  • 17 Kato Y, Sano H, Okuma I, Akashi K, Hayakawa M, Yoneda M, et al. Pitfalls in aneurysm surgery in acute stages. Neurol Res 1997;19:17-24.
  • 18 Sano H, Kato Y, Abe M, Kasama A, Kanno T. Utility and problems of temporary clips and tentative clips. Surg Cerebral Stroke 1991;19:595-7.