放射肿瘤学最优化的运筹学方法

M. Ehrgott, A. Holder
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引用次数: 10

摘要

运筹学有一个成功的传统,将数学分析应用到广泛的应用中,在过去的几十年里,医学物理学中的问题已经很受欢迎。最初的应用是在放射治疗的序列图的优化设计中,这个问题一直受到关注。然而,运筹学已经应用于其他临床问题,如病人调度、保险库设计和图像对齐。本文最重要的主题是介绍运筹学中的技术如何应用于临床问题,我们将分三部分完成。首先,我们提出的观点,从一个操作研究员解决临床问题。其次,我们简要介绍了用于优化系统的基本方法,第三,我们演示了现代软件如何促进问题设计。我们的讨论得到了一些出版物的支持,以促进继续研究。由于与诊所相关的临床、医疗和管理决策众多,运筹学在改进放射治疗的设计和交付方面具有广阔的前景。
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Operations Research Methods for Optimization in Radiation Oncology
Operations Research has a successful tradition of applying mathematical analysis to a wide range of applications, and problems in Medical Physics have been popular over the last couple of decades. The original application was in the optimal design of the uence map for a radiotherapy treatment, a problem that has continued to receive attention. However, Operations Research has been applied to other clinical problems like patient scheduling, vault design, and image alignment. The overriding theme of this article is to present how techniques in Operations Research apply to clinical problems, which we accomplish in three parts. First, we present the perspective from which an operations researcher addresses a clinical problem. Second, we succinctly introduce the underlying methods that are used to optimize a system, and third, we demonstrate how modern software facilitates problem design. Our discussion is supported by several publications to foster continued study. With numerous clinical, medical, and managerial decisions associated with a clinic, operations research has a promising future at improving how radiotherapy treatments are designed and delivered.
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