针对脑胶质瘤的肿瘤电场疗法的颅内电场强度预测和治疗方案分析。

IF 4.9 2区医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer methods and programs in biomedicine Pub Date : 2024-11-02 DOI:10.1016/j.cmpb.2024.108490

Jun Wen , Lingzhi Xiong , Shulu Wang , Xiaoguang Qiu , Jianqiao Cui , Fan Peng , Xiang Liu , Jian Lu , Haikuo Bian , Dikang Chen , Jiusheng Chang , Zhengxi Yao , Sheng Fan , Dan Zhou , Ze Li , Jialin Liu , Hongyu Liu , Xu Chen , Ling Chen

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引用次数: 0

摘要

背景和目的：肿瘤电场疗法（TEFT）是一种治疗胶质母细胞瘤细胞的新疗法，疗效显著，副作用小。然而，TEFT 产生的颅内电场难以直接测量，无法控制肿瘤靶区的电场强度分布也限制了 TEFT 的临床治疗效果。通过数值模拟构建高效、准确的 TEFT 颅内电场强度预测模型是一种安全有效的方法：与传统方法不同，本研究根据保留了空间位置信息的患者磁共振成像数据对脑组织进行分割，分割后给出脑组织的空间位置对应的电参数。然后，构建头部轮廓与换能器阵列的单一几何模型，并将其与包含组织位置信息的电气参数矩阵组装在一起。在换能器上应用边界条件后，颅内电场强度可在频域内求解。进一步分析了换能器阵列模式、负载电压和电压频率对颅内电场强度的影响。最后，还开发了用于优化患者 TEFT 治疗方案的计划系统软件：实验验证以及与现有结果的比较表明，所提出的方法是一种更高效、更普遍的建模方法，具有更高的计算精度，同时完全保留了核磁共振成像脑组织结构的细节。在治疗方案的优化分析中发现，增加负载电压可以有效提高靶区的电场强度，而电压频率对电场强度的影响非常有限：结论：研究结果表明，调整换能器阵列模式是制定针对性治疗方案的关键方法。所提出的方法能够高精度地预测颅内电场强度，为 TEFT 治疗过程的设计提供指导。这项研究为 TEFT 在临床上的应用提供了有价值的参考。

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Prediction of intracranial electric field strength and analysis of treatment protocols in tumor electric field therapy targeting gliomas of the brain

Background and objective

Tumor Electric Field Therapy (TEFT) is a new treatment for glioblastoma cells with significant effect and few side effects. However, it is difficult to directly measure the intracranial electric field generated by TEFT, and the inability to control the electric field intensity distribution in the tumor target area also limits the clinical therapeutic effect of TEFT. It is a safe and effective way to construct an efficient and accurate prediction model of intracranial electric field intensity of TEFT by numerical simulation.

Methods

Different from the traditional methods, in this study, the brain tissue was segmented based on the MRI data of patients with retained spatial location information, and the spatial position of the brain tissue was given the corresponding electrical parameters after segmentation. Then, a single geometric model of the head profile with the transducer array is constructed, which is assembled with an electrical parameter matrix containing tissue position information. After applying boundary conditions on the transducer, the intracranial electric field intensity could be solved in the frequency domain. The effects of transducer array mode, load voltage and voltage frequency on the intracranial electric field strength were further analyzed. Finally, planning system software was developed for optimizing TEFT treatment regimens for patients.

Results

Experimental validation and comparison with existing results demonstrate the proposed method has a more efficient and pervasive modeling approach with higher computational accuracy while preserving the details of MRI brain tissue structure completely. In the optimization analysis of treatment protocols, it was found that increasing the load voltage could effectively increase the electric field intensity in the target area, while the effect of voltage frequency on the electric field intensity was very limited.

Conclusions

The results showed that adjusting the transducer array mode was the key method for making targeted treatment plans. The proposed method is capable prediction of intracranial electric field strength with high accuracy and provide guidance for the design of the TEFT therapy process. This study provides a valuable reference for the application of TEFT in clinical practice.

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来源期刊

Computer methods and programs in biomedicine 工程技术-工程：生物医学

CiteScore

12.30

自引率

6.60%

发文量

601

审稿时长

135 days

期刊介绍： To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.