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作 者:张莹雪 李长侑 郑建民 ZHANG Yingxue;LI Changyou;ZHENG Jianmin(Department of Electronic Engineering,Northwestern Polytechnical University,Xi an 710000,China)
机构地区:[1]西北工业大学电子工程系,西安710000 [2]空军军医大学第一附属医院放射诊断科
出 处:《临床神经外科杂志》2024年第5期510-517,共8页Journal of Clinical Neurosurgery
基 金:国家自然科学基金项目(62171376)。
摘 要:目的通过仿真分析,深入探讨各种因素对肿瘤电场治疗(TTFields)效果的影响,优化电场在肿瘤区域的有效强度,从而为TTFields提供更精准的指导,优化治疗方案,提升患者的临床治疗效果。方法基于低频电磁场和有限元理论,利用真实患者三维头颅模型,仿真实际TTFields条件下的电场分布。对不同电极贴片位置、尺寸、数量,以及肿瘤的大小、位置、形状等参数进行了仿真分析,探讨这些因素对电场分布的影响。结果仿真验证了本文采用算法的正确性和准确性。统计学分析得出,皮肤电导率和致密骨电导率对肿瘤区域电场强度影响最显著。此外,电极贴片和脑脊液的电导率也对电场分布有一定影响。通过优化参数,确保肿瘤切除后的残留区域90%以上组织得到有效治疗电场,从而降低肿瘤复发风险,为优化TTFields的治疗效果提供有效指导。结论本研究为脑胶质瘤患者的临床治疗提供了有价值的参考,实现更好的治疗效果。Objective To investigate the impact of various factors on the effectiveness of tumor-treating fields(TTFields)therapy,aiming to optimize the electric field strength in tumor regions and improve clinical outcomes.Methods A 3D skull model of a real patient,based on low-frequency electromagnetic fields and finite element method,was utilized to simulate the electric field distribution under actual treatment conditions,analyzing the effects of different electrode positions,sizes,quantities and tumor characteristics on the electric field distribution.Results The simulation validated the accuracy of the algorithm.Statistical analysis revealed that skin and dense bone conductivity significantly impacted the electric field intensity in the tumor region.Electrode placement and cerebrospinal fluid conductivity also affected the distribution.It ensured that more than 90%of the residual area after tumor resection received effective treatment by optimizing parameters.Therefore,the risk of tumor recurrence was reduced,and it provided effective guidance for optimizing TTFields therapy.Conclusions This study provides valuable guidance for the clinical treatment of glioblastoma patients and helps achieve better therapeutic outcomes.
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