Snyder Michael, Hammoud Ahmad, Bossenberger Todd, Spink Robyn, Burmeister Jay
Karmanos Cancer Center, Wayne State University School of Medicine, Detroit, Michigan 48201, USA.
Med Phys. 2012 Aug;39(8):4992-8. doi: 10.1118/1.4737024.
Introducing intensity modulation into neutron radiotherapy (IMNRT) planning has the potential to mitigate some normal tissue complications seen in past neutron trials. While the hardware to deliver IMNRT plans has been in use for several years, until recently the IMNRT planning process has been cumbersome and of lower fidelity than conventional photon plans. Our in-house planning system used to calculate neutron therapy plans allows beam weight optimization of forward planned segments, but does not provide inverse optimization capabilities. Commercial treatment planning systems provide inverse optimization capabilities, but currently cannot model our neutron beam.
We have developed a methodology and software suite to make use of the robust optimization in our commercial planning system while still using our in-house planning system to calculate final neutron dose distributions. Optimized multileaf collimator (MLC) leaf positions for segments designed in the commercial system using a 4 MV photon proxy beam are translated into static neutron ports that can be represented within our in-house treatment planning system. The true neutron dose distribution is calculated in the in-house system and then exported back through the MATLAB software into the commercial treatment planning system for evaluation.
The planning process produces optimized IMNRT plans that reduce dose to normal tissue structures as compared to 3D conformal plans using static MLC apertures. The process involves standard planning techniques using a commercially available treatment planning system, and is not significantly more complex than conventional IMRT planning. Using a photon proxy in a commercial optimization algorithm produces IMNRT plans that are more conformal than those previously designed at our center and take much less time to create.
The planning process presented here allows for the optimization of IMNRT plans by a commercial treatment planning optimization algorithm, potentially allowing IMNRT to achieve similar conformality in treatment as photon IMRT. The only remaining requirements for the delivery of very highly modulated neutron treatments are incremental improvements upon already implemented hardware systems that should be readily achievable.
将强度调制引入中子放射治疗(IMNRT)计划中,有可能减轻过去中子试验中出现的一些正常组织并发症。虽然用于实施IMNRT计划的硬件已经使用了数年,但直到最近,IMNRT计划过程一直很繁琐,且保真度低于传统光子计划。我们用于计算中子治疗计划的内部计划系统允许对正向计划射野进行射束权重优化,但不具备逆向优化功能。商业治疗计划系统具备逆向优化功能,但目前无法对我们的中子束进行建模。
我们开发了一种方法和软件套件,以便在仍使用我们的内部计划系统来计算最终中子剂量分布的同时,利用商业计划系统中的稳健优化功能。使用4 MV光子替代束在商业系统中设计的射野的优化多叶准直器(MLC)叶片位置,被转换为可在我们的内部治疗计划系统中表示的静态中子端口。在内部系统中计算真实的中子剂量分布,然后通过MATLAB软件导出回商业治疗计划系统进行评估。
与使用静态MLC孔径的三维适形计划相比,该计划过程产生的优化IMNRT计划降低了对正常组织结构的剂量。该过程涉及使用商业可用治疗计划系统的标准计划技术,并且并不比传统调强放疗(IMRT)计划复杂得多。在商业优化算法中使用光子替代物产生的IMNRT计划比我们中心之前设计的计划更适形,并且创建所需的时间要少得多。
本文介绍的计划过程允许通过商业治疗计划优化算法对IMNRT计划进行优化,这可能使IMNRT在治疗中实现与光子IMRT相似的适形性。对于实施非常高度调制的中子治疗,唯一剩下的要求是对已经实施的硬件系统进行渐进式改进,这应该很容易实现。