World Neurosurg
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Review Meta Analysis
Is TXA beneficial in open spine surgery? And its effects vary by dosage, age, sites, and locations: A meta-analysis of randomized controlled trials.
The role of tranexamic acid (TXA) in controlling blood loss during spine surgery remains unclear. With the publication of new randomized controlled trials (RCTs), we conducted a meta-analysis to determine the safety and efficacy of TXA in spine surgery. ⋯ Based on the meta-analysis of 20 RCTs, we demonstrated that TXA reduces blood loss in open spine surgery, decreases transfusion rates, and shortens hospital stays. The TXA administration during the perioperative period does not increase the incidence of postoperative complications.
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Randomized Controlled Trial
Machine Learning-Based Prognostic Model for the Prediction of Early Death after Traumatic Brain Injury: Comparison with the Corticosteroid Randomization after Significant Head Injury (CRASH) Model.
Machine learning (ML) has been used to predict the outcomes of traumatic brain injury. However, few studies have reported the use of ML models to predict early death. This study aimed to develop ML models for early death prediction and to compare performance with the corticosteroid randomization after significant head injury (CRASH) model. ⋯ The ML models may have comparable performances compared to the CRASH model despite being developed with a smaller sample size.
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Meta Analysis
Updated Genome-wide Association Study of Intracranial Aneurysms by Genotype Correction and Imputation in Koreans.
Compared to European, Japanese, and Chinese populations, genetic studies on intracranial aneurysms (IAs) in Koreans are lacking. We conducted an updated genome-wide association study (GWAS) to more accurately identify candidate variations predicting IA by genotype correction and imputation than in the first Korean GWAS. ⋯ Our updated GWAS using high-throughput imputation approaches can be an informative milestone in understanding IA formation via susceptibility loci in this stage before large-scale genome-wide association meta-analysis.
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This bibliometric analysis aims to identify the most impactful articles on hemangioblastoma (HB) and evaluate the trajectory of academic literature in the field. ⋯ This is the first bibliometric analysis to evaluate the most influential HB publications. Though a majority of HBs are sporadic, these results suggest a research focus on von Hippel-Lindau-associated tumors. Despite established evidence for the potential to control HB growth with vascular endothelial growth factor inhibition, there are no known clinical trials underway for this investigation. There is a need for consistent treatment guidelines for asymptomatic HBs, as resection can prevent the development of neurological deficits. An improved understanding of the etiology of these neoplasms could promote the development of novel diagnostic and treatment methods.
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Convolutional neural networks (CNNs) are being increasingly used in the medical field, especially for image recognition in high-resolution, large-volume data sets. The study represents the current state of research on the application of CNNs in image segmentation and pathology detection in spine magnetic resonance imaging. ⋯ State-of-the-art CNNs can detect and segment-specific anatomical landmarks and pathologies across a wide range, comparable to the skills of radiologists and experienced clinicians. With rapidly evolving network architectures and growing medical image databases, the future is likely to show growth in the development and refinement of these capable networks. However, the aid of automated segmentation and classification by neural networks cannot and should not be expected to replace clinical experts.