Briz P, López-Alonso B, Sarnago H, Burdío J M, Lucía O
Department of Electronic Engineering and Communications, I3A. University of Zaragoza, Maria de Luna 1, Zaragoza 50018, Spain.
Department of Electronic Engineering and Communications, I3A. University of Zaragoza, Maria de Luna 1, Zaragoza 50018, Spain.
Bioelectrochemistry. 2023 Dec;154:108510. doi: 10.1016/j.bioelechem.2023.108510. Epub 2023 Jul 22.
Electroporation is a phenomenon produced in the cell membrane when it is exposed to high pulsed electric fields that increases its permeability. Among other application fields, this phenomenon can be exploited in a clinical environment for tumor ablation therapies. In this context to achieve optimum results, it is convenient to focus the treatment on the tumor tissue to minimize side effects. In this work, a pre-treatment tumor location method is developed, with the purpose of being able to precisely target the therapy. This is done by taking different impedance measurements with a multi-output electroporation generator in conjunction with a multi-electrode structure. Data are processed by means of a vector of independent artificial neural networks, trained and tested with simulation data, and validated with phantom gels. This algorithm proved to provide suitable accuracy in spite of the low electrode count compared to the number of electrodes of a standard electrical impedance tomography device.
电穿孔是细胞膜在暴露于高脉冲电场时产生的一种现象，这种现象会增加细胞膜的通透性。在其他应用领域中，这种现象可用于临床环境中的肿瘤消融治疗。在这种情况下，为了获得最佳效果，将治疗集中在肿瘤组织上以尽量减少副作用是很方便的。在这项工作中，开发了一种肿瘤预处理定位方法，目的是能够精确地靶向治疗。这是通过使用多输出电穿孔发生器结合多电极结构进行不同的阻抗测量来实现的。数据通过独立人工神经网络向量进行处理，使用模拟数据进行训练和测试，并使用体模凝胶进行验证。尽管与标准电阻抗断层成像设备的电极数量相比电极数量较少，但该算法被证明具有合适的准确性。
