The benefits of stereoscopic vision in robotic-assisted performance on bench models

Surg Endosc. 2004 Apr;18(4):611-6. doi: 10.1007/s00464-003-9017-9. Epub 2004 Feb 2.

Abstract

Background: Previous studies have failed to establish clear advantages for the use of stereoscopic visualization systems in minimal-access surgery. The aim of this study was to objectively assess whether stereoscopic visualization improves performance on bench models using the da Vinci robotic system.

Methods: Eleven surgeons carried out a series of four tasks. Positional data streamed from the da Vinci system was analyzed by means of a previously validated custom-designed software-package. An independent blinded observer scored errors. Statistical analysis included the Wilcoxon signed rank test. A p < 0.05 was deemed significant.

Results: We found significant improvements in all tasks and for all parameters (p < 0.05). In addition, a significantly lower number of errors was scored using the stereoscopic mode as compared to the standard two-dimensional image (p < 0.001).

Conclusion: Robotic-assisted performance on bench models is more efficient and accurate using stereoscopic visualization.

MeSH terms

  • Data Display
  • Depth Perception*
  • Equipment Design
  • Humans
  • Imaging, Three-Dimensional* / instrumentation
  • Man-Machine Systems
  • Medical Errors / statistics & numerical data
  • Minimally Invasive Surgical Procedures / instrumentation*
  • Models, Anatomic
  • Physicians / psychology
  • Psychomotor Performance
  • Robotics* / instrumentation
  • Single-Blind Method
  • Task Performance and Analysis
  • User-Computer Interface
  • Video-Assisted Surgery* / instrumentation