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.
tumor-treating fieldreal patient head modeltheoretical simulationfactors affecting efficacy
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