Newhauser W D, Schneider C, Wilson L, Shrestha S, Donahue W
Department of Physics and Astronomy, Louisiana State University, Baton Rouge, USA.
Physics Department, Mary Bird Perkins Cancer Center, Baton Rouge, USA.
Radiat Prot Dosimetry. 2018 Aug 1;180(1-4):245-251. doi: 10.1093/rpd/ncx245.
External-beam radiation therapy is safe, effective and widely used to treat cancer. With 5-year cancer survival for adults above 70%, increasingly research is focusing on quantifying and reducing treatment-related morbidity. Reducing exposures to healthy tissues is one strategy, which can be accomplished with advanced-technology radiotherapies, such as intensity-modulated photon therapy and proton therapy. Both of these modalities provide good conformation of the therapeutic dose to the tumor volume, but they also deliver stray radiation to the whole body that increases the risk of radiogenic second cancers. To minimize these risks, one needs to create and compare candidate treatment plans that explicitly take into account these risks. Currently, clinical practice does not include routine calculation of stray radiation exposure and, consequently, the assessment of corresponding risks is difficult. In this article, we review recent progress toward stray dose algorithms that are suitable for large-scale clinical use. In particular, we emphasize the current state of physics-based dose algorithms for intensity-modulated photon radiotherapy and proton therapy.
外照射放射治疗安全、有效,被广泛用于治疗癌症。70%以上的成年癌症患者能存活5年,因此越来越多的研究聚焦于量化和降低治疗相关的发病率。减少对健康组织的照射是一种策略,这可以通过先进技术放疗来实现,如调强光子治疗和质子治疗。这两种治疗方式都能使治疗剂量很好地适形于肿瘤体积,但它们也会向全身释放散射辐射,增加了放射性继发癌症的风险。为了将这些风险降至最低,需要制定并比较明确考虑这些风险的候选治疗方案。目前,临床实践中并不包括对散射辐射暴露的常规计算,因此,对相应风险的评估很困难。在本文中,我们回顾了适用于大规模临床应用的散射剂量算法的最新进展。特别是,我们强调了基于物理的调强光子放射治疗和质子治疗剂量算法的现状。