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TPS 计算算法对质子治疗中患者剂量分布的影响。

Impact of TPS calculation algorithms on dose delivered to the patient in proton therapy treatments.

机构信息

Fondazione CNAO, Strada Campeggi 53, 27100 Pavia, Italy. Author to whom any correspondence should be addressed.

出版信息

Phys Med Biol. 2019 Apr 4;64(7):075016. doi: 10.1088/1361-6560/ab0a4d.

DOI:10.1088/1361-6560/ab0a4d
PMID:30802887
Abstract

To estimate the impact of dose calculation approaches adopted in different treatment planning systems (TPSs) on proton therapy dose delivered with pencil beam scanning (PBS). Treatment plans for six regular volumes in water and 15 clinical cases were optimized with Syngo-VC13 and exported for forward recalculation with Raystation-V7.0 pencil beam (RS-PBA) and Monte Carlo (RS-MC) algorithms and with the independent Fluka-MC engine. To verify clinical consistency between the two TPS dosimetric outcomes, the average percentage variations of clinical target volume (CTV) D , D and D , adopted for plan prescription and evaluation, were considered. Ionization chamber measurements served as a further reference for comparison in homogeneous conditions. CTV dose volume histogram (DVH) analysis and gamma evaluation with 3 mm-3% agreement criteria quantified the dose deviation of TPS calculation algorithms, in heterogeneous conditions, against the Fluka-MC code. CTV D , representing the plan dose prescription goal, was higher on average over H&N cases of (3.9  ±  0.9)% and (2.3  ±  0.6)% as calculated with RS-PBA and RS-MC, respectively, compared to Syngo. For tumors located in the pelvis district, average D variations of (1.6  ±  0.7)% and (1.2  ±  0.7)% were found. Syngo underestimated target near maximum doses with respect to all computation systems. Calculation accuracy in heterogeneous conditions of RS-PBA H&N plans resulted poor when a range shifter was required. Target DVH and γ-analysis showed excellent agreement between RS-MC and Fluka-MC, with γ-pass rates  >98% for all patient groups. Different TPS dose calculation approaches mainly affected dose delivered in H&N proton treatments, while minor deviations were found for pelvic tumors. RS-MC proved to be the most accurate TPS dose calculation algorithm when compared to an independent MC simulation code.

摘要

为了评估在不同治疗计划系统(TPS)中采用的剂量计算方法对笔束扫描(PBS)质子治疗的剂量分布的影响。采用 Syngo-VC13 对 6 个水模体和 15 个临床病例进行了优化,并将计划导出用于 Raystation-V7.0 笔束(RS-PBA)和蒙特卡罗(RS-MC)算法以及独立的 Fluka-MC 引擎的正向重新计算。为了验证两个 TPS 剂量学结果的临床一致性,考虑了用于计划制定和评估的临床靶区(CTV)D95、D98 和 D100 的平均百分比变化。在均匀条件下,电离室测量用作进一步比较的参考。CTV 剂量体积直方图(DVH)分析和 3mm-3%的伽马评估量化了 TPS 计算算法在不均匀条件下与 Fluka-MC 代码的剂量偏差。CTV D95 代表计划剂量规定目标,与 Syngo 相比,RS-PBA 和 RS-MC 分别计算的头颈部(H&N)病例的平均值高(3.9±0.9)%和(2.3±0.6)%。对于位于骨盆区的肿瘤,平均 D98 变化分别为(1.6±0.7)%和(1.2±0.7)%。与所有计算系统相比,Syngo 低估了靶区的最大剂量。当需要使用限光筒时,RS-PBA H&N 计划的不均匀条件下的计算精度较差。靶区 DVH 和γ分析显示 RS-MC 与 Fluka-MC 之间具有极好的一致性,所有患者组的γ通过率均>98%。不同的 TPS 剂量计算方法主要影响 H&N 质子治疗中的剂量分布,而对于骨盆肿瘤则发现较小的偏差。与独立的 MC 模拟代码相比,RS-MC 被证明是最准确的 TPS 剂量计算算法。

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