Akademik Veri Yönetim Sistemi
EANS 2025, Vienna, Avusturya, 5 - 09 Ekim 2025, ss.253, (Özet Bildiri)
The complexity of surgical procedures necessitates continuous education and innovative training methodologies for neurosurgeons. The learning curve in endoscopic endonasal approach (EEA) is challenging due to the intricate anatomical landscape and the advanced skills required for effective and safe execution. (Koc et al., 2006; Younus et al., 2020). Structured training programs using 3D-printed models provide a unique opportunity to enhance technical skills while minimizing risks to patients. Such programs have been shown to significantly impact the confidence and proficiency of trainees, bridging the gap between theoretical knowledge and practical application (De Win et al., 2016; Gurses et al., 2024). This study evaluates the effectiveness of a 3D-printed model-based training program for EEA, focusing on its impact on the learning curve of neurosurgery residents and specialists. Methods This prospective study was conducted in the clinical and application laboratory at XXX University Department of Neurosurgery, focusing on the evaluation of a structured 3D-printed model-based training program for EEA. The course included 24 participants, all practicing neurosurgeons, consisting of both residents and specialists with varying levels of prior experience in endoscopic pituitary surgery. The training program involved the use of 3D-printed anatomical models designed to replicate the critical steps of EEA. The first step involves harvesting the nasoseptal flap and identifying the nasal turbinates, sphenoid ostium, and choana. The second step is performing a sphenoidotomy and identifying the anatomical landmarks within the sphenoid sinus. The third step involves performing a sellar osteotomy. Participants completed a pre-course and post-course questionnaire to assess their self-perceived proficiency and confidence in performing the key steps of EEA. During independent practice session, procedural times of all participants are also recorded. Results The analysis focused on responses to eight questions evaluating participants' ability to perform key steps in endoscopic endonasal pituitary surgery before and after the training (Table 1). Before the training, recognition of nasal turbinates was reported by 87.5% of participants, which improved to 100% after the training. Similarly, identification of the sphenoid ostium showed an increase from 66.7% pre-training to 100% post-training. The ability to perform anterior sphenoidotomy rose from 54.2% to 100%, while recognition of sphenoid sinus structures improved from 70.8% to 91.7%, although this change was not statistically significant (p < 0.125). Accessing the sella base saw a statistically significant increase from 54.2% to 91.7% (p < 0.05), while opening the sellar dura improved from 50% to 75%, but this change was not statistically significant (p < 0.109). Tumor removal capability increased modestly from 50% to 66.7%, with no statistical significance (p < 0.289). Lastly, nasoseptal flap preparation demonstrated the most significant improvement, rising from 37.5% pre-training to 95.8% post-training (p < 0.001). Conclusions This study highlights the potential of 3D-printed anatomical models as a valuable tool in neurosurgical education. By providing an accessible and effective training platform, these models have the capacity to significantly enhance the learning curve of neurosurgeons in endoscopic endonasal approaches. Future research should explore hybrid training methodologies and expand upon the findings of this study to further optimize surgical education and patient outcomes.