Hershkovich Hadas Sara, Bomzon Zeev, Wenger Cornelia, Urman Noa, Chaudhry Aafia, Garcia-Carracedo Dario, Kirson Eilon D, Weinberg Uri, Wassermann Yoram, Palti Yoram
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2357-2360. doi: 10.1109/EMBC.2016.7591203.
Tumor Treating Fields (TTFields) are low intensity alternating electric fields in the 100-500 KHz frequency range that are known to have an anti-mitotic effect on cancerous cells. In the USA, TTFields are approved by the Food and Drug Administration (FDA) for the treatment of glioblastoma (GBM) in both the newly diagnosed and recurrent settings. Optimizing treatment with TTFields requires a deep understanding of how TTFields distribute within the brain. To address this issue, simulations using realistic head models have been performed. However, the preparation of such models is time-consuming and requires a high level of expertise, limiting the usefulness of these models for systematic studies in which the testing of multiple cases is required. Here we present a platform for rapidly simulating TTFields distributions in multiple scenarios. This platform enables high throughput computational simulations to be performed, allowing comparison of field distributions within the head in multiple clinically relevant scenarios. The simulation setup is simple and intuitive, allowing non-expert users to run simulations and evaluate results, thereby providing a valuable tool for studying how to optimize TTFields delivery in the clinic.
肿瘤治疗电场(TTFields)是频率范围在100 - 500千赫兹的低强度交变电场,已知其对癌细胞具有抗有丝分裂作用。在美国,肿瘤治疗电场已获美国食品药品监督管理局(FDA)批准,可用于治疗新诊断和复发情况下的胶质母细胞瘤(GBM)。优化肿瘤治疗电场的治疗需要深入了解其在脑内的分布情况。为解决这一问题,已使用逼真的头部模型进行了模拟。然而,此类模型的制备耗时且需要高水平的专业知识,限制了这些模型在需要测试多个病例的系统研究中的实用性。在此,我们展示了一个用于在多种场景中快速模拟肿瘤治疗电场分布的平台。该平台能够进行高通量计算模拟,允许在多个临床相关场景中比较头部内的电场分布。模拟设置简单直观,非专业用户也能运行模拟并评估结果,从而为研究如何在临床中优化肿瘤治疗电场的输送提供了一个有价值的工具。