术中监测技术在听神经瘤面神经功能保留中的应用：一项基于文献计量学的知识图谱分析

Application of Intraoperative Monitoring Technology in the Preservation of Facial Nerve Function in Acoustic Neuroma: A Bibliometric Knowledge Mapping Analysis

摘要: 目的：本研究旨在对有关听神经瘤显微外科术中的神经电生理监测技术在听神经瘤手术中有关面神经功能保留中的应用进行全面的文献计量学分析，目的是阐述神经电生理技术在听神经瘤手术中的演变和趋势。方法：利用Web of Science核心数据库，对2000年1月1日至2025年12月13日期间的出版物进行文献计量学分析。使用VOSviewer、CiteSpace和R软件包“bibliometrix”软件对数据进行分析和可视化。结果：分析包括发表在56种期刊上的242篇文献。美国(58篇，23.9%)、中国(28篇，11.5%)和日本(22篇，9.1%)是研究产出最高的国家，梅奥诊所(Mayo Clinic) (13篇)被确定为研究产出最高的机构。Journal of Neurosurgery成为最具影响力的期刊。关键词聚类分析揭示了三个不同的研究领域：面神经功能监测技术、听力保留监测策略、显微外科手术技术。研究重点呈现动态演进，近期趋势强调多模态整合监测、连续实时监测、人工智能辅助预测及患者生活质量评估。结论：文献计量学分析追溯了从基础技术验证逐步转向多模态监测与智能化预测的方向。关键词聚类明确了三大核心方向，突现词分析显示对人工智能与预后预测的关注日益增强。未来研究应致力于监测技术标准化、智能化系统开发、扩大国际合作，并关注长期患者报告结局。

Abstract: Objective: This study aims to conduct a comprehensive bibliometric analysis of the application of intraoperative neurophysiological monitoring techniques in the preservation of facial nerve function during acoustic neuroma microsurgery. The objective is to elucidate the evolution and trends of neurophysiological techniques in acoustic neuroma surgery. Methods: Utilizing the Web of Science core database, a bibliometric analysis was conducted on publications from January 1, 2000, to December 13, 2025. Data analysis and visualization were performed using VOSviewer, CiteSpace, and the R package “bibliometrix”. Results: The analysis encompassed 242 articles published in 56 journals. The United States (58 articles, 23.9%), China (28 articles, 11.5%), and Japan (22 articles, 9.1%) were the top countries in terms of research output, with Mayo Clinic (13 articles) identified as the top institution. Journal of Neurosurgery emerged as the most influential journal. Keyword cluster analysis revealed three distinct research areas: facial nerve function monitoring techniques, hearing preservation monitoring strategies, and microsurgical techniques. The research focus has evolved dynamically, with recent trends emphasizing multimodal integrated monitoring, continuous real-time monitoring, artificial intelligence-assisted prediction, and patient quality of life assessment. Conclusion: The bibliometric analysis traced a gradual shift from basic technical verification towards multimodal monitoring and intelligent prediction. Keyword clustering identified three core directions, and the analysis of highlighted terms showed an increasing focus on artificial intelligence and prognostic prediction. Future research should focus on standardizing monitoring techniques, developing intelligent systems, expanding international cooperation, and paying attention to long-term patient-reported outcomes.