Chow James C L
Department of Radiation Oncology, University of Toronto and Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
Rep Pract Oncol Radiother. 2017 Nov-Dec;22(6):455-462. doi: 10.1016/j.rpor.2017.08.005. Epub 2017 Sep 8.
Recent rapid development of Internet-based computer technologies has made possible many novel applications in radiation dose delivery. However, translational speed of applying these new technologies in radiotherapy could hardly catch up due to the complex commissioning process and quality assurance protocol. Implementing novel Internet-based technology in radiotherapy requires corresponding design of algorithm and infrastructure of the application, set up of related clinical policies, purchase and development of software and hardware, computer programming and debugging, and national to international collaboration. Although such implementation processes are time consuming, some recent computer advancements in the radiation dose delivery are still noticeable. In this review, we will present the background and concept of some recent Internet-based computer technologies such as cloud computing, big data processing and machine learning, followed by their potential applications in radiotherapy, such as treatment planning and dose delivery. We will also discuss the current progress of these applications and their impacts on radiotherapy. We will explore and evaluate the expected benefits and challenges in implementation as well.
基于互联网的计算机技术最近的快速发展使得在放射剂量传递方面有了许多新颖的应用。然而,由于复杂的调试过程和质量保证协议,将这些新技术应用于放射治疗的转化速度很难跟上。在放射治疗中实施基于互联网的新技术需要对应用的算法和基础设施进行相应设计,制定相关临床政策,购买和开发软件硬件,进行计算机编程和调试,以及开展国内到国际的合作。尽管这样的实施过程很耗时,但最近在放射剂量传递方面的一些计算机进展仍然值得注意。在这篇综述中,我们将介绍一些最近基于互联网的计算机技术的背景和概念,如云计算、大数据处理和机器学习,随后阐述它们在放射治疗中的潜在应用,如治疗计划和剂量传递。我们还将讨论这些应用的当前进展及其对放射治疗的影响。我们也将探索和评估实施过程中预期的益处和挑战。