Resection Process Map: A novel dynamic simulation system for pulmonary resection
Junko Tokuno1, Toyofumi F Chen-Yoshikawa1, Megumi Nakao2
1Department of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
The Journal of Thoracic and Cardiovascular Surgery
|October 14, 2019
Summary
A new dynamic simulation system, the Resection Process Map, was developed for pulmonary resection. This tool generates virtual dynamic images from patient CT scans, improving surgical planning for lung procedures.
Area of Science:
- Thoracic surgery
- Medical simulation
- Pulmonary imaging
Background:
- 3D computed tomography (CT) enables static surgical simulation in thoracic surgery.
- A limitation of current 3D CT simulation is its inability to reflect intraoperative lung deformation.
- Dynamic simulation for lung deformation has not been previously developed.
Purpose of the Study:
- To develop a novel simulation system for generating dynamic images.
- To create a system that utilizes patient-specific CT data for dynamic simulation.
- To advance surgical simulation in pulmonary resection.
Main Methods:
- Developed original software named Resection Process Map.
- The software semi-automatically generates virtual dynamic images from patient-specific CT data.
- Retrospectively evaluated accuracy in 18 cases by comparing virtual and actual surgical images.
Main Results:
- Successfully generated virtual dynamic images for all 18 cases.
- The Resection Process Map accurately delineated 98.6% of vessel branches and 100% of bronchi.
- Median image generation time was 121.3 seconds.
Conclusions:
- Successfully developed a novel dynamic simulation system.
- The Resection Process Map is suitable for anatomic pulmonary resection.
- This system represents a significant advancement in surgical simulation for lung procedures.
