Foster W Kyle, Osei Ernest, Barnett Rob
University of Waterloo.
J Appl Clin Med Phys. 2015 Jan 8;16(1):5089. doi: 10.1120/jacmp.v16i1.5089.
The aim of this study is to provide guidelines for the selection of external-beam radiation therapy target margins to compensate for target motion in the lung during treatment planning. A convolution model was employed to predict the effect of target motion on the delivered dose distribution. The accuracy of the model was confirmed with radiochromic film measurements in both static and dynamic phantom modes. 502 unique patient breathing traces were recorded and used to simulate the effect of target motion on a dose distribution. A 1D probability density function (PDF) representing the position of the target throughout the breathing cycle was generated from each breathing trace obtained during 4D CT. Changes in the target D95 (the minimum dose received by 95% of the treatment target) due to target motion were analyzed and shown to correlate with the standard deviation of the PDF. Furthermore, the amount of target D95 recovered per millimeter of increased field width was also shown to correlate with the standard deviation of the PDF. The sensitivity of changes in dose coverage with respect to target size was also determined. Margin selection recommendations that can be used to compensate for loss of target D95 were generated based on the simulation results. These results are discussed in the context of clinical plans. We conclude that, for PDF standard deviations less than 0.4 cm with target sizes greater than 5 cm, little or no additional margins are required. Targets which are smaller than 5 cm with PDF standard deviations larger than 0.4 cm are most susceptible to loss of coverage. The largest additional required margin in this study was determined to be 8 mm.
本研究的目的是提供外照射放射治疗靶区边界选择的指导原则,以补偿治疗计划期间肺部靶区的运动。采用卷积模型预测靶区运动对所交付剂量分布的影响。该模型的准确性通过在静态和动态体模模式下的放射变色胶片测量得到证实。记录了502条独特的患者呼吸轨迹,并用于模拟靶区运动对剂量分布的影响。从4D CT期间获得的每条呼吸轨迹生成一个表示整个呼吸周期中靶区位置的一维概率密度函数(PDF)。分析了由于靶区运动导致的靶区D95(95%的治疗靶区所接受的最小剂量)的变化,并显示其与PDF的标准差相关。此外,每增加一毫米野宽所恢复的靶区D95量也显示与PDF的标准差相关。还确定了剂量覆盖变化相对于靶区大小的敏感性。根据模拟结果生成了可用于补偿靶区D95损失的边界选择建议。在临床计划的背景下讨论了这些结果。我们得出结论,对于PDF标准差小于0.4 cm且靶区大小大于5 cm的情况,几乎不需要或不需要额外的边界。PDF标准差大于0.4 cm且小于5 cm的靶区最容易出现覆盖不足。本研究中确定的最大额外所需边界为8 mm。