Related Experiment Video
Updated: Dec 21, 2025

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve
Published on: August 15, 2025
Basic Laparoscopic Skills Training Is Equally Effective Using 2D Compared to 3D Visualization: A Randomized
Eliana Montanari1, Richard Schwameis1, Nikolaus Veit-Rubin1
1Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Abstract:
Reduced depth perception due to two-dimensional (2D) visualization of a three-dimensional (3D) space represents a main challenge in acquiring basic laparoscopic skills (BLS); 3D visualization might increase training efficiency. This study aimed to assess whether BLS training on a standard box trainer using 2D is at least equally effective compared to 3D. Medical students were randomized to training of Fundamentals of Laparoscopic Surgery (FLS) tasks using either 2D or 3D for four weeks. Baseline and post-training tests were performed using the assigned visualization modality. Data of 31 participants were analyzed (n = 16 2D, n = 15 3D). Baseline test scores did not differ significantly between groups; only at the peg transfer task and total scores, the 3D group performed better than the 2D group. All scores improved significantly in both groups, with post training scores not differing significantly between groups. Non-inferiority of 2D compared to 3D was demonstrated for total score improvement and improvement in all individual FLS tasks except for suturing with extracorporeal knot tying. Post training test performance did not change significantly when changing to the unfamiliar modality. In conclusion, BLS training using standard 2D is at least equally effective as with 3D, without significant disadvantages when changing to the other modality.
More Related Videos
09:51Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
Published on: March 21, 2018
06:18Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024