The red DRAGON: a multi-modality system for simulation and training in minimally invasive surgery

Area of Science:

• Surgical Technology
• Robotics
• Medical Simulation

Background:

• Minimally invasive surgery (MIS) offers significant advantages but requires specialized skills in visual-kinematic integration.
• Current training methods for MIS may not fully address the complexities of tool manipulation and force feedback.
• Objective skill assessment is crucial for validating surgeon proficiency in MIS procedures.

Purpose of the Study:

• To introduce the Red DRAGON, a multi-modal simulator designed for teaching and training MIS procedures.
• To evaluate the Red DRAGON system's capability in capturing kinematic and dynamic data of surgical tools.
• To explore the potential of the system for objective assessment of surgeon skills in MIS.

Main Methods:

• Development of the Red DRAGON system, a serial spherical mechanism with a remote center of rotation.
• Integration of interchangeable MIS tools equipped with sensors to measure position, orientation, forces, and torques.
• Preliminary experimental protocol involving five expert surgeons performing Fundamental Laparoscopic Skill (FLS) tasks.
• Mechanism optimization to maximize manipulability within the MIS workspace.

Main Results:

• The Red DRAGON system successfully captured detailed kinematic and dynamic data during simulated MIS tasks.
• Surgeon performance data provided insights into the forces and torques exerted during laparoscopic procedures.
• The system demonstrated potential for objective, data-driven assessment of surgical skills.

Conclusions:

• The Red DRAGON system offers a novel approach to MIS training and skill assessment.
• Objective kinematic and dynamic data can serve as reliable metrics for evaluating surgeon proficiency.
• Further research with the Red DRAGON can advance the standardization and objectivity of MIS skill evaluation.