Modeling Haptic Interactions in Endoscopic Submucosal Dissection (ESD).

Area of Science:

• Medical Simulation
• Robotics
• Surgical Technology

Background:

• Realistic haptic feedback is essential for virtual reality (VR) surgical simulators, particularly for complex procedures like colonoscopy.
• Current methods often use simplified force feedback approximations due to the intricate dynamics of haptic interactions.
• Endoscopic submucosal dissection (ESD) presents significant challenges requiring advanced manual dexterity.

Purpose of the Study:

• To propose a novel mechanical impedance model for haptic interactions during endoscopic submucosal dissection (ESD).
• To develop an experimental methodology for formulating this model in general endoscopic colorectal interventions.
• To enhance the realism and effectiveness of VR-based surgical training simulators.

Main Methods:

• An experimental methodology was applied to endoscopic colorectal interventions.
• A mechanical impedance model was formulated based on recorded haptic interaction data.
• The model's ability to capture force variations was tested on a porcine sample during two distinct operations.

Main Results:

• The developed mechanical impedance model successfully captured variations in interaction forces during ESD procedures.
• Salient cues from haptic interaction data were identified and presented.
• Changes in tool-tissue interaction impedance characteristics were analyzed across different surgical steps.

Conclusions:

• The proposed mechanical impedance model provides a more accurate representation of haptic interactions in VR colonoscopy simulators.
• This advancement can lead to more effective training for challenging procedures like ESD.
• The experimental methodology offers a framework for developing advanced haptic feedback in surgical simulation.