Formulating adaptive radiation therapy (ART) treatment planning into a closed-loop control framework
Formulating adaptive radiation therapy (ART) treatment planning into a closed-loop control framework
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DOI：
10.1088/0031-9155/52/14/008
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发表时间：
2007-07-21
影响因子：
3.5
通讯作者：
Xing, Lei
中科院分区：
文献类型：
--
作者：
de la Zerda, Adam;Armbruster, Benjamin;Xing, Lei
虽然ART已经研究了多年，但具体的量化实施细节还没有。为了使这种新的放射治疗方案（RT）发挥其潜力，必须制定一种有效的ART治疗计划策略，该策略必须能够考虑剂量输送历史和患者的治疗几何模型。本文对ART的动态闭环控制算法进行了理论研究，并将其实用性与来自体模和临床病例的数据进行了比较。我们开发了两类算法：那些适应改变几何形状和那些适应几何形状和输送剂量。前一类考虑了治疗前发现的器官变形。后一类通过在每个部分进行调整来优化在整个治疗过程中累积的剂量分布，不仅适应关于器官变形的治疗之前的信息，而且适应剂量输送历史。我们展示了两个算法的类的那些适应几何形状和输送剂量。的方法的比较表明，某些闭环ART算法可能会显着改善目前的做法。我们预计，成像，剂量验证和报告的改进将进一步增加自适应算法的重要性。
While ART has been studied for years, the specific quantitative implementation details have not. In order for this new scheme of radiation therapy (RT) to reach its potential, an effective ART treatment planning strategy capable of taking into account the dose delivery history and the patient's on-treatment geometric model must be in place. This paper performs a theoretical study of dynamic closed-loop control algorithms for ART and compares their utility with data from phantom and clinical cases. We developed two classes of algorithms: those Adapting to Changing Geometry and those Adapting to Geometry and Delivered Dose. The former class takes into account organ deformations found just before treatment. The latter class optimizes the dose distribution accumulated over the entire course of treatment by adapting at each fraction, not only to the information just before treatment about organ deformations but also to the dose delivery history. We showcase two algorithms in the class of those Adapting to Geometry and Delivered Dose. A comparison of the approaches indicates that certain closed-loopART algorithms may significantly improve the current practice. We anticipate that improvements in imaging, dose verification and reporting will further increase the importance of adaptive algorithms.