Developing a Virtual Reality Simulation System for Preoperative Planning of Robotic-Assisted Thoracic Surgery.
Hideki UjiieRyohei ChibaAogu YamaguchiShunsuke NomuraHaruhiko ShiiyaAki Fujiwara-KurodaKichizo KagaChad EitelTod R ClappTatsuya KatoPublished in: Journal of clinical medicine (2024)
Background . Robotic-assisted thoracic surgery (RATS) is now standard for lung cancer treatment, offering advantages over traditional methods. However, RATS's minimally invasive approach poses challenges like limited visibility and tactile feedback, affecting surgeons' navigation through com-plex anatomy. To enhance preoperative familiarization with patient-specific anatomy, we devel-oped a virtual reality (VR) surgical navigation system. Using head-mounted displays (HMDs), this system provides a comprehensive, interactive view of the patient's anatomy pre-surgery, aiming to improve preoperative simulation and intraoperative navigation. Methods . We integrated 3D data from preoperative CT scans into Perspectus VR Education software, displayed via HMDs for in-teractive 3D reconstruction of pulmonary structures. This detailed visualization aids in tailored preoperative resection simulations. During RATS, surgeons access these 3D images through Tile-Pro TM multi-display for real-time guidance. Results . The VR system enabled precise visualization of pulmonary structures and lesion relations, enhancing surgical safety and accuracy. The HMDs offered true 3D interaction with patient data, facilitating surgical planning. Conclusions . VR sim-ulation with HMDs, akin to a robotic 3D viewer, offers a novel approach to developing robotic surgical skills. Integrated with routine imaging, it improves preoperative planning, safety, and accuracy of anatomical resections. This technology particularly aids in lesion identification in RATS, optimizing surgical outcomes.
Keyphrases
- virtual reality
- thoracic surgery
- minimally invasive
- patients undergoing
- high resolution
- computed tomography
- pulmonary hypertension
- quality improvement
- healthcare
- electronic health record
- deep learning
- case report
- robot assisted
- magnetic resonance imaging
- contrast enhanced
- molecular dynamics
- big data
- antiretroviral therapy
- convolutional neural network
- smoking cessation
- artificial intelligence
- atrial fibrillation
- monte carlo
- dual energy