World Neurosurg
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Three-dimensional (3D) navigation offers real-time guidance in surgery. However, there is limited and inconsistent data regarding the usability, safety, and efficacy. To address gaps in knowledge about 3D navigation in spinal surgery, we conducted a comprehensive review of success rates, complications, revisions, radiation exposure, and operative time associated with Federal and Drug Administration-approved 3D surgical navigation tools. ⋯ The 3D navigation in spinal procedures has higher surgical success rates than two-dimensional fluoroscopy and freehand navigation. Included studies exhibited varying limitations, including no patient follow-up (n = 1), less than 10 patients (n = 6), various types of spinal disorders (n = 1), and varying comorbidities among participants (n = 2). Improving 3D navigation tools remains imperative to decrease operative time and radiation exposure.
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Meningiomas are neoplasms primarily originating from arachnoid cells and are classified into 3 grades (1, 2, and 3) based on histological features according to the World Health Organization classification. However, this classification system is imperfect especially for grade 1 and 2 meningiomas as many grade 1 tumors recur. Meningiomas are hence a histologically diverse class of tumors exhibiting more unpredictable behavior. Therefore, more improved classification is required, possibly using novel and more dependable biomarkers. In this study, we aim to investigate the role of the H3K27me3 and Ki-67 labeling index (LI) in assessing the biological behavior of meningiomas. The study was conceived, with the primary objective of examining the expression of H3K27me3 and Ki-67 LI in grade 1/2 meningiomas with atypical features to ascertain if this potentially impacts patient prognosis. ⋯ The study highlights the importance of the H3K27me3 and Ki-67 LI in assessing the biological behavior of meningiomas. The findings provide valuable insights into the prognosis and treatment of meningiomas, emphasizing the need for further research to validate these markers and develop targeted therapeutic strategies.
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Posterior cerebral artery (PCA) aneurysms are rare but clinically significant due to their critical location and complex management. The risk factor of the PCA aneurysms rupture remains unclear. This study aimed to investigate the associated factor of PCA aneurysms rupture in a large Chinese cohort. ⋯ This is the first multicenter study to highlight the coexistence of ICAO as a major associated factor for PCA aneurysm rupture in the Chinese population.
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This study aimed to investigate the accuracy of large language models (LLMs), specifically ChatGPT and Claude, in surgical decision-making and radiological assessment for spine pathologies compared to experienced spine surgeons. ⋯ The study highlights the potential of LLMs in assisting with radiological interpretation and surgical decision-making in spine surgery. However, the current limitations, such as the lack of consideration for patient-specific factors and inaccuracies in treatment recommendations, emphasize the need for further refinement and validation of these artificial intelligence (AI) models. Continued collaboration between AI researchers and clinical experts is crucial to address these challenges and realize the full potential of AI in spine surgery.
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Subarachnoid hemorrhage (SAH) is a severe neurologic event with high mortality. The choice of sedatives in SAH management may influence patient outcomes. This study aimed to investigate the association between sedatives and in-hospital mortality among patients with SAH. ⋯ Dexmedetomidine is associated with significantly lower in-hospital mortality in patients with SAH. These findings underscore the importance of sedative choice for patients with SAH, suggesting that dexmedetomidine could enhance patient outcomes.