Intracranial Cancer Detection by Mobile Phone Electromagnetic Radiation

Abstract

Cancer is the topping cause of death only after ischemic heart disease in the world. Among cancers, brain tumors are generally one of the hardest to heal. And among the brain tumors, glioblastoma multiforme, which is a very aggressive intracranial cancer, has one of the highest mortality rates. These cancers are rather difficult to diagnose with the lack of manual diagnosis and very aggressive in their progression the disease, thus a later-stage diagnosis would not be much of a benefit. Therefore, medical doctors require advanced medical imaging techniques such as computed tomography and magnetic resonance imaging for intracranial tumors. The Covid-19 pandemic has caused a global lockdown and has put an enormous load on the medical system. Any similar pandemic would almost paralyze the medical system. In this study, the authors investigate the possibility of an early-stage detection of glioblastoma multiforme by use of mobile phone electromagnetic radiation. Since cancer tissue contains more blood vessels because of its intrinsic energy needs, external electromagnetic radiation would affect the cancer tissue faster than the normal tissue. The authors build the model by introducing a hypothetical ellipsoid cancer tissue into the IEEE phantom head SAR model. By applying two different levels of external electromagnetic exposure, the simulations seek to find a discriminatory temperature change, which can be detected externally.