Joint Department of Physics, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, Fulham Road, London SW3 6JJ, UK.
Phys Med. 2023 Oct;114:103137. doi: 10.1016/j.ejmp.2023.103137. Epub 2023 Sep 25.
Robustness to residual setup errors and linac delivery errors of BrainLab Elements single-isocentre-multiple-target stereotactic radiosurgery was evaluated.
Residual setup errors of 13 patients were evaluated. Linac delivery error was quantified through multi-metastases-Winston-Lutz measurements. PTV margins were calculated using the van Herk recipe. Patient scans were translated and rotated by the median and 95th percentile of the combined uncertainties, and plans were recalculated subsequently. Previous patients' plans were then replanned with the derived margins, effects on GTV coverage and normal brain doses were assessed.
Mean (±stdev) coverage of all targets in the original plans were 99.4% (±0.9%) and 98.9% (±1.0%) for 1 and 3-fraction patients respectively. Median geometrical errors did not result in significant differences. A statistically significant reduction in coverage to 91.4% (±10.4%) and 93.0% (±9.6%) was seen under 95th percentile errors. Applying the derived optimal margin of 0.5 mm resulted in 78% of the GTVs retaining a coverage of 98% or above even in the presence of 95th percentile errors, compared to only 30% if no margins were applied. Replanning with margins also caused no significant increase to local normal brain doses, however global dose increases varied according to the number of metastases.
Plans were shown to be robust to average geometrical uncertainties despite targets having no margins, however occurrence of GTV under-coverage increased under 95th percentile scenarios. The margin was proven to substantially improve the target dose coverage with limited change to local normal brain doses, although not all sources of geometrical uncertainty were considered.
评估 BrainLab Elements 单中心点多靶立体定向放射外科对残余摆位误差和直线加速器输送误差的稳健性。
评估了 13 名患者的残余摆位误差。通过多转移体 Winston-Lutz 测量来量化直线加速器输送误差。使用 van Herk 方案计算 PTV 边界。通过组合不确定度的中位数和 95%分位数对患者扫描进行平移和旋转,随后重新计算计划。然后,用推导的边界重新规划之前患者的计划,评估对 GTV 覆盖和正常脑剂量的影响。
原始计划中所有靶区的平均(±标准差)覆盖分别为 99.4%(±0.9%)和 98.9%(±1.0%),分别用于 1 次和 3 次分割的患者。中位几何误差没有导致显著差异。在 95%误差下,覆盖范围显著降低至 91.4%(±10.4%)和 93.0%(±9.6%)。应用推导的最佳边界 0.5mm 导致即使在 95%误差下,78%的 GTV 仍保持 98%或更高的覆盖率,而如果不应用边界,则只有 30%。用边界重新规划也不会导致局部正常脑剂量显著增加,但是根据转移体的数量,全局剂量增加会有所不同。
尽管靶区没有边界,但计划被证明对平均几何不确定性具有稳健性,然而在 95%误差情况下,GTV 覆盖率会降低。该边界在局部正常脑剂量变化有限的情况下显著提高了靶区剂量覆盖,但并非所有几何不确定性源都被考虑在内。