Finite Elements Modeling in Diagnostics of Small Closed Pneumothorax

Area of Science:

• Medical Imaging
• Computational Mechanics
• Thoracic Surgery

Background:

• Posttraumatic pneumothorax presents significant clinical challenges requiring advanced diagnostic and monitoring tools.
• Current diagnostic methods for small closed pneumothorax may lack comprehensive predictive capabilities.

Purpose of the Study:

• To develop and validate a computer-based modeling method for small closed pneumothorax.
• To assess the utility of a 3D finite element model (FEM) for surgical intervention analysis and optimization.

Main Methods:

• Utilized radiological images from 34 patients with small closed pneumothorax and 22 with tension pneumothorax.
• Implemented computational rapid analysis (CRA) involving automatic conversion of CT images into 3D FEM.
• Employed intelligent domain recognition for 3D model segmentation and ANSYS Workbench for fluid-structure interaction simulation.

Main Results:

• The developed 3D FEM model was successfully correlated with clinical manifestations of pneumothorax.
• The computational simulation accurately reflected patient conditions, demonstrating compatibility with clinical data.
• The model proved effective in analyzing and optimizing surgical interventions.

Conclusions:

• The created finite element model (FEM) shows promise as a tool for improving diagnostic procedures in small closed pneumothorax.
• This computational approach facilitates better prognosis and treatment planning for patients with pneumothorax.
• The integration of advanced modeling techniques offers a novel approach to managing thoracic injuries.