World Neurosurg
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Oculomotor nerve palsy (ONP) is frequently caused by aneurysm compression and diabetes mellitus. However, nonaneurysmal compression (nAVC) of the oculomotor nerve is a condition rarely reported in the literature. Cases treated with microvascular decompression (MVD) for nAVC-induced ONP (nAVC-ONP) are exceptionally rare. ⋯ Neurovascular conflict has been proposed as another possible cause of ONP in a limited number of cases. Based on our findings, MVD is a potentially effective solution for patients experiencing oculomotor nerve palsy resulting from nonaneurysmal neurovascular conflicts. It holds great promise for significantly alleviating symptoms and improving overall quality of life.
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The skull base is a complex region in neurosurgery, featuring numerous foramina. Accurate identification of these foramina is imperative to avoid intraoperative complications and to facilitate educational progress in neurosurgical trainees. The intricate landscape of the skull base often challenges both clinicians and learners, necessitating innovative identification solutions. We aimed to develop a computer vision model that automates the identification and labeling of the skull base foramina from various image formats, enhancing surgical planning and educational outcomes. ⋯ This study successfully introduces a highly accurate computer vision model tailored for the identification of skull base foramina, illustrating the model's potential as a transformative tool in anatomical education and intraoperative structure visualization. The findings suggest promising avenues for future research into automated anatomical recognition models, suggesting a trajectory toward increasingly sophisticated aids in neurosurgical operations and education.