Emerging Horizons in Cancer Monitoring: Electrical Impedance Tomography as a Cost-Effective Noninvasive Imaging and Diagnostics System.

IF 7.7 Q1 ENGINEERING, BIOMEDICAL
Jesus Alejandro Martinez Juarez, Miraj Ud Din, Hui Jiang, Xiaohui Liu, Xuemei Wang
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Abstract

Cancer is a serious worldwide health issue. Routinary detection exams are recommended for better prognosis, however there are still no suitable routinary procedures. Electrical Impedance Tomography is a non-invasive, portable, low-cost novel imaging technology. Its side effects are reversible heat discomfort and/or uncomfortable electrostimulation. By measuring the dielectric properties of a region of interest, it makes possible to detect and monitor cancer. Software such as EIDORS and COMSOL are used nowadays to solve the forward and inverse problem. However, the state-of-the-art image reconstruction solutions are based on deep learning and this ongoing research has boosted the accuracy of EIT in a substantial manner. With such accuracy improvement, this technique has been utilized for breast cancer detection. The successful results for breast cancer encouraged researchers to explore its usage in other cancer types such as lung, skin, prostate, tongue and gynaecological. Results reaffirm that EIT holds great potential to be used in clinical cancer diagnostic scenarios and thus, more exhaustive research of EIT-based cancer imaging is highly recommended. This review offers an overview of the main elements that EIT technology comprises. Detailed explanation is provided for safety parameters and possible adverse effects. A comprehensive overview of deep tomographic image reconstruction in EIT is provided. Finally, an updated literature revision for EIT usage in the oncological area is presented.

癌症监测的新视野:电阻抗断层成像是一种成本效益高的无创成像和诊断系统。
癌症是一个严重的全球性健康问题。为了更好的预后,建议进行常规检查,但目前仍没有合适的常规检查程序。电阻抗断层扫描是一种无创、便携、低成本的新型成像技术。它的副作用是可逆的热不适和/或不舒服的电刺激。通过测量感兴趣区域的介电特性,可以检测和监测癌症。目前使用EIDORS和COMSOL等软件来解决正逆问题。然而,最先进的图像重建解决方案是基于深度学习的,这项正在进行的研究在很大程度上提高了EIT的准确性。由于准确度的提高,该技术已被用于乳腺癌检测。乳腺癌治疗的成功结果鼓励研究人员探索其在其他类型癌症中的应用,如肺癌、皮肤癌、前列腺癌、舌癌和妇科。结果再次证实了EIT在临床癌症诊断中的巨大潜力,因此,强烈建议对基于EIT的癌症成像进行更详尽的研究。本文综述了EIT技术所包含的主要元素 ;详细说明了安全参数和可能产生的不良影响。对EIT中深度层析成像的重建进行了全面的概述。最后,对EIT在肿瘤学领域的应用进行了最新的文献修订。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
9.40
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