Learning Pattern of Two-Dimensional, Three-Dimensional, and Ultra-High-Definition Endovision System on Standardized Phantom Tasks: An Ex Vivo Randomized Study.

Abstract

Introduction: Three-dimensional (3D), high-definition (HD), and ultra-high-definition (4K HD) are recent additions over regular HD technology for laparoscopic surgery. The aim of this study was to evaluate the learning pattern of these systems on standardized phantom tasks. Methodology: Forty-five stereo-enabled resident doctors were randomly assigned into three groups. They performed three validated tasks, precision touch on flat surface, precision touch on uneven surface, surgical knot on rubber tube using either two-dimensional (2D) HD, 3D HD, or 4K HD Endovision systems. Each task was repeated 20 times. Data from four consecutive repetitions were pooled to make five blocks. Split group analysis by comparing the consecutive blocks in execution time and errors were made to see the learning pattern. A significant difference was accepted as continuous learning while no significant difference was accepted as learning stabilization. Result: Operating time was stabilized in two tasks after third block in 2D HD, one task after fourth block in 4K HD. There was continuous learning in all tasks with 3D HD. The 3D HD group was significantly faster than 2D HD and 4K HD in most of the tasks on fifth block. The error scores were similar between the consecutive blocks in 4K HD. It was stabilized after second block in 2D HD group and third block on 3D HD. Conclusion: The 3D HD Endovision system has more potential of faster execution of a task, but need more practice to reach similar safety profile. The 4K HD reached the safety plateau with minimal repetitions.