Decomposition and analysis of laparoscopic suturing task using tool-motion analysis (TMA): improving the objective...

Area of Science:

• Surgical Education
• Minimally Invasive Surgery
• Biomedical Engineering

Background:

• Laparoscopic suturing is a complex surgical skill.
• Objective assessment tools are needed to evaluate surgical proficiency.
• Current assessment methods may lack precision in differentiating skill levels.

Purpose of the Study:

• To analyze laparoscopic suturing task components for improved objective assessment.
• To evaluate the effectiveness of tool-motion analysis (TMA) in assessing surgical skills.
• To identify key subtasks crucial for learning laparoscopic suturing.

Main Methods:

• Twelve surgeons (novices, intermediates, experts) performed suturing tasks in a box-trainer with organic tissue.
• Tool movements were recorded using an augmented reality haptic system.
• Laparoscopic suturing was decomposed into four subtasks, and objective metrics were analyzed using TMA.

Main Results:

• Significant differences in metrics were observed between skill groups, particularly in subtasks 1 (needle puncture) and 2.
• Experts consistently outperformed novices and intermediates, showing reduced time, path length, and movement counts.
• Subtask 4 (final knot tying) exhibited fewer significant metric differences compared to earlier subtasks.

Conclusions:

• Needle puncture and the first knot are critical subtasks in learning laparoscopic suturing.
• Tool-motion analysis (TMA) shows promise as an objective tool for discriminating surgical experience.
• TMA can potentially be utilized for measuring and certifying surgical proficiency in the future.