World Neurosurg
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This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms. ⋯ This study comprehensively identified key predictive factors for prolonged LOS in patients with IA undergoing interventional embolization and confirmed the efficacy of an RF model for predicting prolonged LOS in patients with IA undergoing interventional embolization. The construction of the LOS prediction model may effectively optimize healthcare resource utilization, inform better clinical decision-making, and offer valuable prognostic insights.
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Hemorrhage is a dangerous complication of deep brain stimulation (DBS) surgery, but a comprehensive explanation of the associated risk factors remains inconclusive, particularly application of microelectrode recording (MER) compared with macrostimulation (non-MER)-based DBS procedures. We conducted a comparative analysis of MER and macrostimulation techniques, evaluating the impact of brain penetrations by microelectrode guiding cannulas on the occurrence of intracranial hemorrhagic events. ⋯ DBS procedures are generally safe, with only 0.97% resulting in long-term or permanent deficits. All symptomatic ICH occurred in MER-based procedures, whereas macrostimulation was associated with only 2 asymptomatic ICH cases. The higher number of brain penetrations in MER correlates with higher bleeding rates.
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To The Editor, We thoroughly read the article published in your journal entitled as "Safety and Efficacy of Ketorolac After Craniotomy for Tumor Resection" (1) and would like to appreciate the efforts being put by the authors. However to enhance the literature of this article we have some appraisal assessments which if added can enhance the quality of the literature and addressing these factors may improve the depth of the model.
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The presence of isocitrate dehydrogenase (IDH) mutations and 1p/19q codeletion significantly influences the diagnosis and prognosis of patients with lower-grade gliomas (LGGs). The ability to predict these molecular signatures preoperatively can inform surgical strategies. This study sought to establish an interpretable imaging feature set for predicting molecular signatures and overall survival in LGGs. ⋯ Gliomas with IDH mutations were more likely to exhibit smooth nonenhancing margins and pial invasion. In clinical practice, imaging prediction allows for the assessment of IDH mutation to shift from a postoperative outcome to a preoperative guidance indicator, facilitating more precise treatment for patients with LGGs.