Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Graduate School of Biomedical Sciences, The University of Texas, 6767 Bertner Ave., Houston, TX 77030, USA.
Cancers (Basel). 2015 Mar 11;7(1):427-38. doi: 10.3390/cancers7010427.
Equivalent dose from neutrons produced during proton radiotherapy increases the predicted risk of radiogenic late effects. However, out-of-field neutron dose is not taken into account by commercial proton radiotherapy treatment planning systems. The purpose of this study was to demonstrate the feasibility of implementing an analytical model to calculate leakage neutron equivalent dose in a treatment planning system. Passive scattering proton treatment plans were created for a water phantom and for a patient. For both the phantom and patient, the neutron equivalent doses were small but non-negligible and extended far beyond the therapeutic field. The time required for neutron equivalent dose calculation was 1.6 times longer than that required for proton dose calculation, with a total calculation time of less than 1 h on one processor for both treatment plans. Our results demonstrate that it is feasible to predict neutron equivalent dose distributions using an analytical dose algorithm for individual patients with irregular surfaces and internal tissue heterogeneities. Eventually, personalized estimates of neutron equivalent dose to organs far from the treatment field may guide clinicians to create treatment plans that reduce the risk of late effects.
在质子放射治疗过程中产生的中子的等效剂量会增加放射性晚期效应的预测风险。然而,商业质子放射治疗计划系统并没有考虑场外中子剂量。本研究的目的是证明在治疗计划系统中实施分析模型来计算泄漏中子等效剂量的可行性。为水模体和患者创建了被动散射质子治疗计划。对于水模体和患者,中子等效剂量虽然较小,但不容忽视,并且远远超出了治疗场。计算中子等效剂量所需的时间比计算质子剂量所需的时间长 1.6 倍,对于两个治疗计划,在一个处理器上的总计算时间都不到 1 小时。我们的结果表明,使用针对具有不规则表面和内部组织异质性的个体患者的分析剂量算法来预测中子等效剂量分布是可行的。最终,远离治疗场的器官的中子等效剂量的个性化估计可能会指导临床医生制定降低晚期效应风险的治疗计划。