The use of 3D laparoscopic imaging systems in surgery: EAES consensus development conference 2018

Surg Endosc. 2019 Oct;33(10):3251-3274. doi: 10.1007/s00464-018-06612-x. Epub 2018 Dec 4.

Abstract

Background: The use of 3D laparoscopic systems is expanding. The European Association of Endoscopic Surgery (EAES) initiated a consensus development conference with the aim of creating evidence-based statements and recommendations for the surgical community.

Methods: Systematic reviews of the PubMed and Embase libraries were performed to identify evidence on potential benefits of 3D on clinical practice and patient outcomes. Statements and recommendations were prepared and unanimously agreed by an international surgical and engineering expert panel which were presented and voted at the EAES annual congress, London, May 2018.

Results: 9967 abstracts were screened with 138 articles included. 18 statements and two recommendations were generated and approved. 3D significantly shortened operative time (mean difference 11 min (8% [95% CI 20.29-1.72], I2 96%)). A significant reduction in complications was observed when 3D systems were used (RR 0.75, [95 CI% 0.60-0.94], I2 0%) particularly for cases involving laparoscopic suturing (RR 0.57 [95% CI 0.35-0.90], I2 0%). In 69 box trainer or simulator studies, 64% concluded trainees were significant faster and 62% performed fewer errors when using 3D.

Conclusion: We recommend the use of 3D vision in laparoscopy to reduce the operative time (grade of recommendation: low). Future robust clinical research is required to specifically investigate the potential benefit of 3D laparoscopy system on complication rates (grade of recommendation: high).

Keywords: 3D laparoscopy; 3D vision; Consensus; Imaging; Laparoscopic; Three-dimensional.

Publication types

  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Consensus Development Conferences as Topic*
  • Consensus*
  • Europe
  • Humans
  • Imaging, Three-Dimensional*
  • Laparoscopy / methods*
  • Societies, Medical*
  • Surgery, Computer-Assisted / methods*