Wang Lilie, Ding George X
Department of Radiation Oncology, Stanford University, CA, USA.
Phys Med Biol. 2014 Jul 7;59(13):N113-28. doi: 10.1088/0031-9155/59/13/N113. Epub 2014 Jun 13.
The out-of-field dose can be clinically important as it relates to the dose of the organ-at-risk, although the accuracy of its calculation in commercial radiotherapy treatment planning systems (TPSs) receives less attention. This study evaluates the uncertainties of out-of-field dose calculated with a model based dose calculation algorithm, anisotropic analytical algorithm (AAA), implemented in a commercial radiotherapy TPS, Varian Eclipse V10, by using Monte Carlo (MC) simulations, in which the entire accelerator head is modeled including the multi-leaf collimators. The MC calculated out-of-field doses were validated by experimental measurements. The dose calculations were performed in a water phantom as well as CT based patient geometries and both static and highly modulated intensity-modulated radiation therapy (IMRT) fields were evaluated. We compared the calculated out-of-field doses, defined as lower than 5% of the prescription dose, in four H&N cancer patients and two lung cancer patients treated with volumetric modulated arc therapy (VMAT) and IMRT techniques. The results show that the discrepancy of calculated out-of-field dose profiles between AAA and the MC depends on the depth and is generally less than 1% for in water phantom comparisons and in CT based patient dose calculations for static field and IMRT. In cases of VMAT plans, the difference between AAA and MC is <0.5%. The clinical impact resulting from the error on the calculated organ doses were analyzed by using dose-volume histograms. Although the AAA algorithm significantly underestimated the out-of-field doses, the clinical impact on the calculated organ doses in out-of-field regions may not be significant in practice due to very low out-of-field doses relative to the target dose.
尽管在商业放射治疗治疗计划系统(TPS)中,野外剂量计算的准确性较少受到关注,但由于其与危及器官剂量相关,野外剂量在临床上可能具有重要意义。本研究通过蒙特卡罗(MC)模拟评估了在商业放射治疗TPS(Varian Eclipse V10)中使用基于模型的剂量计算算法——各向异性分析算法(AAA)计算野外剂量的不确定性,其中对包括多叶准直器在内的整个加速器头进行了建模。通过实验测量对MC计算的野外剂量进行了验证。剂量计算在水模以及基于CT的患者几何模型中进行,并对静态和高度调制的调强放射治疗(IMRT)野进行了评估。我们比较了4例接受容积调强弧形治疗(VMAT)和IMRT技术的头颈部癌症患者以及2例肺癌患者中计算的野外剂量(定义为低于处方剂量的5%)。结果表明,AAA与MC之间计算的野外剂量分布差异取决于深度,在水模比较以及基于CT的患者静态野和IMRT剂量计算中,差异通常小于1%。在VMAT计划的情况下,AAA与MC之间的差异<0.5%。通过使用剂量体积直方图分析了计算的器官剂量误差所产生的临床影响。尽管AAA算法显著低估了野外剂量,但由于相对于靶剂量,野外剂量非常低,在实际中对野外区域计算的器官剂量的临床影响可能并不显著。