Akademik Veri Yönetim Sistemi
EANS2024, Sofija, Bulgaristan, 13 - 17 Ekim 2024, cilt.4, ss.173-174, (Özet Bildiri)
Background: This study aimed to develop a robotic system with autonomous functionality for holding and manipulating the endoscope in endoscopic transnasal surgery. A cost-effective prototype was created with the goal of using robotic assistance and more efficient learning curve for endoscopic surgery (Figure 1). Methods: The study utilized a "Stewart Platform" based endoscope holder and positioner robotic system, developed by our Mechatronics Engineering Department, in conjunction with open-source health technology softwares. Following initial configuration on an 3D skull model, the system was applied to a freshly frozen cadaver. Results: The robotic system and its registration process proved feasible, allowing the robot to autonomously reach predetermined anatomical points during the 173Abstracts Brain and Spine 4 (2024) 103334 nasal step of the surgery. The experiment yielded positive outcomes in both the artificial skull model and the cadaver. various surgical stages applied through both the haptic system and the control computer. The robotic system effectively demonstrated the nasal stage of the surgery. Conclusions: The integration of a robotic surgical arm in the endoscopic endonasal approach holds the potential to enhance the learning curve through shared experiences. The robot offers an assistance to surgeons during the learning phase of endoscopic endonasal approach, aiding in the identify of anatomical landmarks through preoperative planning. This system may presents advantages such as improved visualization, enhanced maneuverability, and reduced user fatigue compared to conventional methods. The findings showed the potential of robotic assistance in endoscopic surgical techniques.