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Published on: October 13, 2023
Immersive Three-dimensional Computed Tomography to Plan Chest Wall Resection for Lung Cancer
Matthieu Thumerel1, Yaniss Belaroussi2, Elena Prisciandaro2
1Department of Thoracic Surgery, Haut Lévêque Hospital, Bordeaux University Hospital and Bordeaux University, Bordeaux, France; INSERM, Centre de Recherche Cardio-thoracique de Bordeaux, Bordeaux, France.
Virtual reality (VR) improves chest wall resection planning for lung cancer surgery compared to standard CT scans. VR enhanced accuracy for both senior and resident surgeons, particularly in predicting the need for chest wall substitutes.
Area of Science:
- Thoracic Surgery
- Medical Imaging
- Virtual Reality Applications
Background:
- Chest wall resections for lung cancer are complex and challenging to plan using traditional 2D computed tomography (CT).
- Virtual reality (VR) has seen widespread medical application but has not been extensively utilized for chest wall resection planning.
Purpose of the Study:
- To compare the accuracy of preoperative planning for chest wall resections in lung cancer patients.
- To evaluate the effectiveness of immersive virtual reality (VR) versus standard 2D computed tomography (CT) for surgical planning.
Main Methods:
- A comparative study involving senior and resident surgeons planning chest wall resections.
- Utilized both immersive VR devices and standard 2D CT for preoperative planning analysis.
- Assessed accuracy in resection planning and prediction of chest wall substitute requirements.
Main Results:
- VR-assisted planning demonstrated significantly higher accuracy (28.6%) compared to CT (18.3%) (P = .018).
- Resident surgeons showed a marked improvement in accuracy with VR (27.4%) versus CT (8.3%) (P = .0025).
- VR significantly improved the accuracy of predicting the need for chest wall substitutes (96%) compared to CT (68.5%) (P < .0001).
Conclusions:
- Immersive virtual reality offers enhanced accuracy for planning chest wall resections and reconstructions in lung cancer treatment.
- VR technology may be a valuable tool for improving surgical precision and patient outcomes in complex thoracic procedures.
