Servei de Radiofísica i Radioprotecció, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, Barcelona 08025, Spain.
Servei de Radiofísica i Radioprotecció, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, Barcelona 08025, Spain.
Phys Med. 2019 Jul;63:56-62. doi: 10.1016/j.ejmp.2019.05.010. Epub 2019 May 29.
Optimisation strategies for volumetric modulated arc therapy (VMAT) in most treatment planning systems for breast cancer do not account for patient positioning, breathing, or anatomical changes. To overcome this limitation, a pseudo-skin flash strategy using a virtual bolus has been proposed. Using this strategy, we determined optimal thickness and value of Hounsfield units (HU) assigned to the virtual bolus to ensure adequate CTV irradiation.
We modified the original computed tomography data (CT) by adding combinations of thicknesses and densities of a virtual bolus on PTVs (CT') of seven bilateral breast cancer patients. Using a single optimization objective template, we obtained a VMAT plan on CT' and recalculated this on the CT. Optimal CT' parameters were defined as those that minimized dose differences between CT' and CT plans regarding PTV and OAR dose-volume parameters. We studied bolus parameters regarding robustness by shifting the isocenter 5 and 10 mm in the breathing direction for each CT plan.
The minimal dosimetric impact was between -400 and -600 HU depending on bolus thickness. OARs doses were not significantly affected. Best robustness was found for -500 HU and 15 mm bolus thickness against shifts of up to 10 mm in the breathing direction.
Our results support a bolus thickness equal to the CTV-PTV margin plus 5 mm and a virtual bolus HU value around -500 and -400 depending on the bolus thickness chosen. These findings could play a useful role in maximisingrobustness and minimising the need for plan renormalization.
大多数乳腺癌治疗计划系统中的容积调强弧形治疗(VMAT)优化策略并未考虑患者的体位、呼吸或解剖变化。为了克服这一限制,已经提出了一种使用虚拟填充物的伪皮肤闪光策略。使用该策略,我们确定了为虚拟填充物分配的最佳厚度和亨氏单位(HU)值,以确保CTV 充分照射。
我们通过在七个双侧乳腺癌患者的 PTV(CT')上添加虚拟填充物的厚度和密度组合来修改原始 CT 数据(CT)。使用单个优化目标模板,我们在 CT'上获得了 VMAT 计划,并在 CT 上重新计算了该计划。将 CT'和 CT 计划的 PTV 和 OAR 剂量-体积参数之间的剂量差异最小化的 CT'最佳参数定义为最佳参数。我们通过在每个 CT 计划中沿呼吸方向将等中心点移动 5 和 10mm 来研究填充物参数的稳健性。
最小剂量学影响取决于填充物厚度,在-400 和-600 HU 之间。OAR 剂量没有受到显著影响。在呼吸方向上最大位移为 10mm 时,发现-500 HU 和 15mm 填充物厚度的最佳稳健性。
我们的结果支持填充物厚度等于 CTV-PTV 边界加 5mm,以及虚拟填充物 HU 值约为-500 和-400,具体取决于所选的填充物厚度。这些发现可能在最大化稳健性和最小化计划重新归一化的需求方面发挥有用的作用。