Subject-specific modelling of pneumoperitoneum: model implementation, validation and human feasibility assessment.

Area of Science:

• Computational biomechanics
• Medical simulation
• Surgical planning technology

Background:

• Pneumoperitoneum causes anatomical changes crucial for surgical planning.
• Preoperative imaging alone offers limited insight into intraoperative abdominal conditions.

Purpose of the Study:

• To develop a patient-specific biomechanical model simulating anatomical changes due to pneumoperitoneum.
• To create a real-time, interactive framework for surgical planning and intraoperative guidance.

Main Methods:

• Implementation of a biomechanical model using NVIDIA FleX position-based dynamics.
• Calibration and validation using porcine subject data (pre- and post-insufflation).
• Assessment of human subject feasibility by comparing landmark distances between simulated and actual patient data.

Main Results:

• Successful calibration of simulation parameters, establishing a link between simulation and experimental pressures.
• Achieved a mean Hausdorff distance error of 5-6 mm in porcine subject simulations.
• Demonstrated the feasibility of modeling pneumoperitoneum in human subjects.

Conclusions:

• The simulation generates accurate, subject-specific 3D models of inflated abdomens, offering a realistic intraoperative view.
• The framework is stable, interactive, and operates in real-time, supporting patient-specific data for improved surgical planning.