Hey Grace, DeYoung Chloe, Dagra Abeer, Gillam Wiley, Lucke-Wold Brandon
University of Florida College of Medicine, Gainesville, FL, USA.
Lillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA.
Expert Rev Neurother. 2025 Sep;25(9):1103-1118. doi: 10.1080/14737175.2025.2534615. Epub 2025 Jul 20.
High-grade gliomas remain difficult to treat due to their infiltrative growth, therapeutic resistance, and the restrictive blood-brain barrier (BBB). Focused ultrasound (FUS) offers a noninvasive method to transiently disrupt the BBB, enhancing the delivery of therapeutics to the tumor site.
Herein, the authors discuss the emerging role of FUS in glioma treatment including enhanced drug delivery, real-time monitoring techniques, and biomarker-driven patient selection. They also explore the impact of combined FUS with immunotherapy, gene therapy, exosome-based drug delivery, sonobiopsy, and radiotherapy (RT) sensitization. The authors have based their article on literature published between January 2010 and October 2024 from PubMed, Web of Science, and Google Scholar. By tailoring FUS parameters to individual tumor characteristics and patient responses, these strategies aim to overcome glioma heterogeneity and treatment resistance, further advancing personalized therapeutic approaches.
The integration of FUS into neuro-oncology represents a paradigm shift, requiring interdisciplinary collaboration to maximize its potential as a cornerstone of precision medicine in glioma treatment. Future advancements in FUS will likely focus on refining treatment protocols, optimizing real-time targeting, and integrating artificial intelligence (AI)-driven predictive models to personalize therapy.
高级别胶质瘤因其浸润性生长、治疗抵抗以及血脑屏障（BBB）的限制而难以治疗。聚焦超声（FUS）提供了一种非侵入性方法来短暂破坏血脑屏障，增强治疗药物向肿瘤部位的递送。
在此，作者讨论了FUS在胶质瘤治疗中的新兴作用，包括增强药物递送、实时监测技术以及基于生物标志物的患者选择。他们还探讨了FUS与免疫疗法、基因疗法、基于外泌体的药物递送、超声活检以及放疗（RT）增敏联合应用的影响。作者的文章基于2010年1月至2024年10月期间发表于PubMed、科学网和谷歌学术的文献。通过根据个体肿瘤特征和患者反应调整FUS参数，这些策略旨在克服胶质瘤的异质性和治疗抵抗，进一步推进个性化治疗方法。
将FUS整合到神经肿瘤学中代表了一种范式转变，需要跨学科合作以最大限度地发挥其作为胶质瘤治疗精准医学基石的潜力。FUS未来的进展可能会集中在完善治疗方案、优化实时靶向以及整合人工智能（AI）驱动的预测模型以实现个性化治疗。
