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稳健优化在头颈部癌症调强质子治疗计划中的有效性。

Effectiveness of robust optimization in intensity-modulated proton therapy planning for head and neck cancers.

机构信息

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.

出版信息

Med Phys. 2013 May;40(5):051711. doi: 10.1118/1.4801899.

Abstract

PURPOSE

Intensity-modulated proton therapy (IMPT) is highly sensitive to uncertainties in beam range and patient setup. Conventionally, these uncertainties are dealt using geometrically expanded planning target volume (PTV). In this paper, the authors evaluated a robust optimization method that deals with the uncertainties directly during the spot weight optimization to ensure clinical target volume (CTV) coverage without using PTV. The authors compared the two methods for a population of head and neck (H&N) cancer patients.

METHODS

Two sets of IMPT plans were generated for 14 H&N cases, one being PTV-based conventionally optimized and the other CTV-based robustly optimized. For the PTV-based conventionally optimized plans, the uncertainties are accounted for by expanding CTV to PTV via margins and delivering the prescribed dose to PTV. For the CTV-based robustly optimized plans, spot weight optimization was guided to reduce the discrepancy in doses under extreme setup and range uncertainties directly, while delivering the prescribed dose to CTV rather than PTV. For each of these plans, the authors calculated dose distributions under various uncertainty settings. The root-mean-square dose (RMSD) for each voxel was computed and the area under the RMSD-volume histogram curves (AUC) was used to relatively compare plan robustness. Data derived from the dose volume histogram in the worst-case and nominal doses were used to evaluate the plan optimality. Then the plan evaluation metrics were averaged over the 14 cases and were compared with two-sided paired t tests.

RESULTS

CTV-based robust optimization led to more robust (i.e., smaller AUCs) plans for both targets and organs. Under the worst-case scenario and the nominal scenario, CTV-based robustly optimized plans showed better target coverage (i.e., greater D95%), improved dose homogeneity (i.e., smaller D5% - D95%), and lower or equivalent dose to organs at risk.

CONCLUSIONS

CTV-based robust optimization provided significantly more robust dose distributions to targets and organs than PTV-based conventional optimization in H&N using IMPT. Eliminating the use of PTV and planning directly based on CTV provided better or equivalent normal tissue sparing.

摘要

目的

调强质子治疗(IMPT)对束流射程和患者摆位的不确定性非常敏感。传统上,这些不确定性是通过几何上扩展的计划靶区(PTV)来处理的。在本文中,作者评估了一种鲁棒优化方法,该方法在点权重优化过程中直接处理不确定性,以确保在不使用 PTV 的情况下覆盖临床靶区(CTV)。作者比较了这两种方法在一组头颈部(H&N)癌症患者中的应用。

方法

为 14 例 H&N 病例生成了两组 IMPT 计划,一组是基于 PTV 的常规优化,另一组是基于 CTV 的鲁棒优化。对于基于 PTV 的常规优化计划,通过在 CTV 与 PTV 之间设置边缘来扩展 CTV,以考虑不确定性,并将规定剂量输送至 PTV。对于基于 CTV 的鲁棒优化计划,通过引导点权重优化来直接减少在极端摆位和射程不确定性下剂量的差异,同时将规定剂量输送至 CTV 而不是 PTV。对于每个计划,作者计算了在各种不确定性设置下的剂量分布。计算了每个体素的均方根剂量(RMSD),并使用 RMSD-体积直方图曲线下的面积(AUC)相对比较计划的稳健性。使用最坏情况和名义剂量下的剂量体积直方图数据来评估计划的最优性。然后将计划评估指标平均到 14 个病例中,并使用双侧配对 t 检验进行比较。

结果

基于 CTV 的鲁棒优化为靶区和器官带来了更稳健(即 AUC 较小)的计划。在最坏情况和名义情况下,基于 CTV 的鲁棒优化计划显示出更好的靶区覆盖(即更大的 D95%),改善了剂量均匀性(即更小的 D5%-D95%),以及对危及器官的剂量更低或等效。

结论

在使用 IMPT 的 H&N 中,基于 CTV 的鲁棒优化为靶区和器官提供了比基于 PTV 的传统优化更稳健的剂量分布。消除 PTV 的使用并直接基于 CTV 进行规划提供了更好或等效的正常组织保护。

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