Reduced-order parameter optimization for simplifying prostate IMRT planning
Reduced-order parameter optimization for simplifying prostate IMRT planning
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DOI：
10.1088/0031-9155/52/3/022
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发表时间：
2007-02-01
影响因子：
3.5
通讯作者：
Jackson, Andrew
中科院分区：
文献类型：
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作者：
Lu, Renzhi;Radke, Richard J.;Jackson, Andrew
调强放射治疗（IMRT）已成为肿瘤放射治疗的有效手段.然而，即使是专业的辐射规划者仍然需要花费大量的时间手动调整IMRT优化参数，例如剂量限制和costlet权重，以便获得临床上可接受的计划。在本文中，我们描述了两个主要的进步，简化了五场前列腺调强放射治疗计划的参数调整过程。首先，我们报告的灵敏度分析的结果，量化每个手动调强放射治疗成本函数的参数对每个临床目标和所得到的计划的整体质量的影响。第二，我们表明，递归随机搜索的六个最敏感的参数作为外环调强放射治疗计划可以快速，自动地确定参数的成本函数，导致一个计划满足临床要求。我们在10个患者数据集上的实验表明，对于70%的情况，我们可以在10分钟内（平均）自动确定一个计划，该计划要么是临床上可接受的，要么只需要规划者进行微小的调整。外环优化可以很容易地集成到传统的IMRT计划系统中。
Intensity- modulated radiotherapy ( IMRT) has become an effective tool for cancer treatment with radiation. However, even expert radiation planners still need to spend a substantial amount of time manually adjusting IMRT optimization parameters such as dose limits and costlet weights in order to obtain a clinically acceptable plan. In this paper, we describe two main advances that simplify the parameter adjustment process for five-field prostate IMRT planning. First, we report the results of a sensitivity analysis that quantifies the effect of each hand-tunable parameter of the IMRT cost function on each clinical objective and the overall quality of the resulting plan. Second, we show that a recursive random search over the six most sensitive parameters as an outer loop in IMRT planning can quickly and automatically determine parameters for the cost function that lead to a plan meeting the clinical requirements. Our experiments on a ten-patient dataset show that for 70% of the cases, we can automatically determine a plan in 10 min ( on the average) that is either clinically acceptable or requires only minor adjustment by the planner. The outer-loop optimization can be easily integrated into a traditional IMRT planning system.