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A Patient-Specific Mixed-Reality Visualization Tool for Thoracic Surgical Planning.
Stephanie L Perkins1, Brooke Krajancich2, Chi-Fu Jeffrey Yang3
1Department of Radiology, Stanford University School of Medicine, Stanford, California; Department of Bioengineering, Stanford University, Stanford, California.
The Annals of Thoracic Surgery
|March 8, 2020
Summary
This study introduces a 3D mixed-reality system to help surgeons find small lung nodules during minimally invasive surgery. This technology aids in precise localization, potentially improving surgical outcomes and reducing the need for invasive procedures.
Area of Science:
- Thoracic Surgery
- Medical Imaging
- Mixed Reality Technology
Background:
- Minimally invasive thoracic surgery presents challenges in identifying small lung lesions.
- Accurate localization of pulmonary nodules is crucial for effective surgical resection.
Observation:
- A 3D mixed-reality visualization system was developed using Microsoft HoloLens.
- The system integrates patient-specific imaging data with a custom user interface.
- Features include gesture and voice recognition for anatomical exploration and manipulation.
Findings:
- The mixed-reality system allows visualization of preoperative imaging and 3D anatomical models.
- Users can manipulate chest anatomy, including bronchial, osseous, and vascular structures.
- Simulation of lung deflation and surgical instrument placement is supported.
Implications:
- Mixed-reality visualization can enhance the accurate and rapid identification of small lung lesions.
- This technology may reduce the need for additional invasive preoperative localization methods.
- Potential to improve safety and efficacy in minimally invasive thoracic procedures.
