Akademik Veri Yönetim Sistemi
JOURNAL OF ISTANBUL FACULTY OF MEDICINE-ISTANBUL TIP FAKULTESI DERGISI, 2025 (ESCI)
Objective: Integrating technology into surgical training enhances learning experiences. Affordable extended reality (XR) equipment, like the Illumetry XR screen with ArSurgeon software, allows segmentation of preoperative MRI , CT scans in a digital environment, presenting 3D visualisations of tumours and surrounding anatomy. This improves the spatial orientation and understanding of surgical cases, benefiting neurosurgery residents. Material and Methods: This study used preoperative MRI and CT scans of a patient with a right frontal mass and pituitary ade- noma. The scans were segmented to isolate the brain, mass , vascular structures. The 3D models were integrated with MRI and CT data and examined on the Illumetry XR screen with ArSur- geon software. Surgical procedures were recorded and edited into 5-minute videos. Forty neurosurgery residents, split into two groups based on the training year, were provided with the scans and 3D models. After viewing the surgical video, the participants completed a 20-item survey. The survey results were analysed using IBM SPSS Statistics. Result: Among the 40 participants (28 male, 12 female), half were in the first three years of training, and half had 3-5 years of experience. The AR-based neuronavigation system received an average motivation score of 8.4/10, an ease of use rating of 7.6/10, and an ergonomic design rating of 7.9/10. Participants also rated the system's contribution to anatomical understanding and mastery at 8.3/10. Conclusion: The study that AR-based neuronavigation systems effectively enhance surgical education by motivating learners , improving anatomical knowledge. However, further im- provements in ergonomics and design could enhance their util- ity in medical training.