To investigate the microsurgical management of cranionasal tumors and the method of the reconstruction of the skull base. Methods From June 2005 to October 2007, 20 patients with cranionasal tumor were treated. There were 10 males and 10 females, aged between 13 and 77 years (median 49 years). The disease course was 2 months to 13 years.The cranionasal tumors, proved by MRI and CT scans, located in the anterior skull base, paranasal sinus, nasal and/or orbit cavity. And their cl inical presentations were l isted as follows: dysosphresia in 14 patients, headache in 11 patients, nasal obstruction in 9 patients, epistaxis in 8 patients, visual disorder in 4 patients, exophthalmos in 4 patients and conscious disturbance in 2 patients. All 20 patients underwent transbasal surgery combined with transnasal surgery, and tumors were resected by one-stage operation. The skull base was reconstructed by surgical technique “Pull Down Sandwich” with pedicle periosteum flap. Results Tumors were resected by one-stage operation, and the anterior skull bases were reconstructed. Pathological examination showed 8 cases of mal ignant tumors and 12 cases of benign tumors. The total surgical excision was complete in 16 patients, and 4 patients with subtotal excision. There was no operative death. Eighteen patients were followed up 3 months to 2 years and 6 months. Transient cerebrospinal fluid rhinorrhea was found in 2 cases which were cured by lumbar drainage. And recurrence of tumor was observed in 5 patients 3 months to 2 years after operation. Conclusion Microsurgical operation via subfrontal approach assisted bytransnasal endoscopy is an effective method in management of cranionasal tumors, with the advantages of econstruction of the skull base with pedicle periosteum flap or “Pull Down Sandwich” and low compl ication rate.
Objective To discuss the clinical value of whole spine magnetic resonance imaging (WSMRI) in practice of neurosurgical spinal surgery. Method A total of 70 cases examined using WSMRI between January 2015 and December 2016 were collected and analyzed retrospectively. Results All patients got clear images of WSMRI. Eighteen cases got important information, including spinal variation (1 case), multiple lesions (3 cases), combined lesions (6 cases) and large range multi-segmental lesions (8 cases), which were missed by single-segment MRI . Conclusions WSMRI can show all the spine, spinal cord and surrounding tissue in one image at one time. It has high clinical value because of its accurate positioning, comprehensiveness, time saving, and low rate of misdiagnosis and missed diagnosis.
Neurosurgery navigation system, which is expensive and complicated to operate, has a low penetration rate, and is only found in some large medical institutions. In order to meet the needs of other small and medium-sized medical institutions for neurosurgical navigation systems, the scalp localization system of neurosurgery based on augmented reality (AR) theory was developed. AR technology is used to fuse virtual world images with real images. The system integrates computed tomography (CT) or magnetic resonance imaging (MRI) with the patient's head in real life to achieve the scalp positioning. This article focuses on the key points of Digital Imaging and Communications in Medicine (DICOM) standard, three-dimensional (3D) reconstruction, and AR image layer fusion in medical image visualization. This research shows that the system is suitable for a variety of mobile phones, can achieve two-dimensional (2D) image display, 3D rendering and clinical scalp positioning application, which has a certain significance for the auxiliary neurosurgical head surface positioning.
Driven by advances in intelligent technology, artificial intelligence (AI) is emerging as the cornerstone of neurosurgical education. By providing personalized learning experiences and enhancing learning outcomes, AI has enriched the avenues and depth of knowledge acquisition for medical students. The integration of AI not only helps medical students master the basic theories and practical skills of neurosurgery more thoroughly, but also lays a solid foundation for them to provide high-quality and efficient medical services in the future. At the same time, the ability of educators to use intelligent technologies further enhances the interactivity and effectiveness of teaching. In order to further ensure the application of AI in neurosurgery teaching, this article explores the strategic integration of AI in neurosurgical education, emphasizing its critical importance in ensuring that teaching methods evolve with the times.