Department of Physics and Applied Mathematics, School of Sciences, Universidad de Navarra. C/ Irunlarrea, E-31008 Pamplona, Navarra, Spain.
Service of Radiation Physics and Radiation Protection, Clínica Universidad de Navarra, Avda. Pío XII, E-31008 Pamplona, Navarra, Spain.
Phys Med Biol. 2021 Jan 27;66(3):035025. doi: 10.1088/1361-6560/abd00f.
The purpose of this study was to devise and evaluate a method to quantify the dosimetric uncertainty produced by the interplay between the movement of multileaf collimator and respiratory motion in lung stereotactic body radiation therapy. The method calculates the dose distribution for all control points from a dynamic treatment in all respiratory phases. The methodology includes some characteristics of a patient's irregular breathing patterns. It selects, for each control point, the phases with maximum and minimum mean dose over the tumor and their corresponding adjacent phases, whenever necessary. According to this selection, the dose matrices from each control point are summed up to obtain two dose distributions in each phase, which are accumulated in the reference phase subsequently by deformable image registration (DIR). D and [Formula: see text] were calculated over those accumulated dose distributions for Gross Tumor Volume (GTV), Planning Target Volume-based on Internal Target Volume approach-and Evaluation Target Volume (ETV), a novel concept that applies to 4D dose accumulation. With the ETV, DIR and interplay uncertainties are separated. The methodology also evaluated how variations in the breathing rate and field size affects the mean dose received by the GTV. The method was applied retrospectively in five patients treated with intensity modulated radiotherapy-minimum area defined by the leaves configuration at any control point was at least 4 cm. Uncertainties in tumor coverage were small (in most patients, changes on D and [Formula: see text] were below 2% for GTV and ETV) but significant over- and under-dosages near ETV, which can be accentuated by highly irregular breathing. Uncertainties in mean dose for GTV tended to decrease exponentially with increasing field size and were reduced by an increase of breathing rate. The implementation of this method would be helpful to assess treatment quality in patients with irregular breathing. Furthermore, it could be used to study interplay uncertainties when small field sizes are used.
本研究旨在设计和评估一种方法,以量化多叶准直器运动与肺部立体定向体放射治疗中呼吸运动相互作用产生的剂量不确定性。该方法从所有呼吸相位的动态治疗中计算所有控制点的剂量分布。该方法包括患者不规则呼吸模式的一些特征。它为每个控制点选择最大和最小平均剂量的相位肿瘤及其相应的相邻相位,必要时。根据此选择,从每个控制点的剂量矩阵相加,以获得每个相位的两个剂量分布,随后通过可变形图像配准(DIR)在参考相位累积。在用于大体肿瘤体积(GTV)的累积剂量分布上计算 D 和 [Formula: see text]、基于内部靶区的计划靶区方法和评估靶区(ETV),这是一个适用于 4D 剂量累积的新概念。对于 ETV,DIR 和相互作用不确定性是分开的。该方法还评估了呼吸率和射野大小的变化如何影响 GTV 所接受的平均剂量。该方法在 5 名接受调强放射治疗的患者中进行了回顾性应用-在任何控制点,叶片配置最小面积至少为 4cm。肿瘤覆盖率的不确定性较小(在大多数患者中,GTV 和 ETV 的 D 和 [Formula: see text]变化低于 2%),但在 ETV 附近存在显著的过剂量和欠剂量,这可能会因呼吸极不规则而加剧。GTV 的平均剂量不确定性随射野尺寸的增加呈指数减少,并随呼吸频率的增加而降低。该方法的实施有助于评估呼吸不规则患者的治疗质量。此外,当使用小射野尺寸时,它可用于研究相互作用不确定性。