Oncology Institute of Southern Switzerland, Radiation Oncology Department, Medical Physics Unit, CH-6500 Bellinzona, Switzerland.
Med Phys. 2011 Jul;38(7):4025-31. doi: 10.1118/1.3598442.
In breast radiotherapy with intensity modulation, it is a well established practice to extend the dose fluence outside the limit of the body contour to account for small changes in size and position of the target and the rest of the tissues due to respiration or to possible oedema. A simple approach is not applicable with RapidArc volumetric modulated are therapy not being based on a fixed field fluence delivery. In this study, a viable technical strategy to account for this need is presented.
RapidArc (RA) plans for six breast cancer patients (three right and three left cases), were optimized (PRO version III) on the original CT data set (0) and on an alternative CT (E) generated with an artificial expansion (and assignment of soft-tissue equivalent HU) of 10 mm of the body in the breast region and of the PTV contours toward the external direction. Final dose calculations for the two set of plans were performed on the same original CT data set O, normalizing the dose prescription (50 Gy) to the target mean. In this way, two treatment plans on the same CT set O for each patient were obtained: the no action plan (OO) and the alternative plan based on an expanded optimization (EO). Fixing MU, these two plans were then recomputed on the expanded CT data set and on an intermediate one (with expansion = 5 mm), to mimic, possible changes in size due to edema during treatment or residual displacements due to breathing not properly controlled. Aim of the study was to quantify the robustness of this planning strategy on dose distributions when either the OO or the EO strategies were adopted. For all the combinations, a DVH analysis of all involved structures is reported.
I. The two optimization approaches gave comparable dose distributions on the original CT data set. II. When plans were evaluated on the expanded CTs (mimicking the presence of edema), the EO approach showed improved target coverage if compared to OO: on CT_10 mm, Dv = 98% [%]= 92.5 +/- 0.9 and 68.5 +/- 3.1, respectively, for EO and OO. Minor changes were registered in organs at risk sparing for both EO and OO. III. From dose distributions and DVHs, EO approach allowed to irradiate at near to prescription levels also the expanded fraction of the target: this would account also for residual intrafraction movements.
The proposed plan strategy could represent a robust approach to account for moderate changes in target or body volume during the course of breast radiotherapy and to account for residual intrafractional respiratory motion in volumetric modulated are therapy. The strategy, logistically simple to implement requiring only modifications to the standard planning workflow was routinely implemented at author's institute for treatment of breast patients with RapidArc.
在强度调制的乳房放射治疗中,将剂量通量扩展到身体轮廓的限制之外,以考虑由于呼吸或可能的水肿导致的靶区和其他组织的大小和位置的微小变化,这是一种既定的做法。由于 RapidArc 容积调制弧形治疗不是基于固定的场通量传递,因此不能应用简单的方法。在这项研究中,提出了一种可行的技术策略来满足这一需求。
对六名乳腺癌患者(右三例和左三例)的 RapidArc(RA)计划进行了优化(PRO 版 III),优化基于原始 CT 数据集(0)和通过对乳房区域和 PTV 轮廓的身体向外部方向的 10mm 人工扩展(并分配软组织等效 HU)生成的替代 CT(E)。两组计划的最终剂量计算均在相同的原始 CT 数据集 O 上进行,将剂量处方(50Gy)归一化为靶区平均剂量。这样,为每个患者获得了两组相同 CT 数据集 O 上的两个治疗计划:无操作计划(OO)和基于扩展优化的替代计划(EO)。固定 MU 后,将这两个计划分别在扩展 CT 数据集和中间数据集(扩展=5mm)上重新计算,以模拟治疗期间由于水肿引起的大小变化或由于未正确控制的呼吸引起的残留位移。本研究的目的是量化当采用 OO 或 EO 策略时,这种计划策略对剂量分布的稳健性。对于所有组合,报告了所有涉及结构的剂量体积直方图(DVH)分析。
I. 两种优化方法在原始 CT 数据集上得到了相似的剂量分布。II. 当计划在扩展 CT 上进行评估(模拟水肿的存在)时,EO 方法与 OO 相比,靶区覆盖率有所提高:在 CT_10mm 上,Dv=98%[%]=92.5+/-0.9 和 68.5+/-3.1,分别为 EO 和 OO。对于 EO 和 OO,在保护危及器官方面,只有较小的变化。III. 从剂量分布和 DVH 来看,EO 方法可以使目标的扩展部分接近处方水平进行照射:这也可以考虑残留的分次内运动。
所提出的计划策略可以作为一种稳健的方法,用于在乳房放射治疗过程中考虑靶区或身体体积的适度变化,并考虑容积调制弧形治疗中的残留分次内呼吸运动。该策略在逻辑上简单,只需对标准计划工作流程进行修改即可实施,已在作者所在机构常规用于治疗乳腺癌患者的 RapidArc。