Ottosson Rickard O, Engstrom Per E, Sjöström David, Behrens Claus F, Karlsson Anna, Knöös Tommy, Ceberg Crister
Department of Oncology (R), Division of Radiophysics (51AA), Copenhagen University Hospital, Herlev, Denmark.
Acta Oncol. 2009;48(2):233-7. doi: 10.1080/02841860802251559.
Pareto optimality is a concept that formalises the trade-off between a given set of mutually contradicting objectives. A solution is said to be Pareto optimal when it is not possible to improve one objective without deteriorating at least one of the other. A set of Pareto optimal solutions constitute the Pareto front. The Pareto concept applies well to the inverse planning process, which involves inherently contradictory objectives, high and uniform target dose on one hand, and sparing of surrounding tissue and nearby organs at risk (OAR) on the other. Due to the specific characteristics of a treatment planning system (TPS), treatment strategy or delivery technique, Pareto fronts for a given case are likely to differ. The aim of this study was to investigate the feasibility of using Pareto fronts as a comparative tool for TPSs, treatment strategies and delivery techniques. In order to sample Pareto fronts, multiple treatment plans with varying target conformity and dose sparing of OAR were created for a number of prostate and head & neck IMRT cases. The DVHs of each plan were evaluated with respect to target coverage and dose to relevant OAR. Pareto fronts were successfully created for all studied cases. The results did indeed follow the definition of the Pareto concept, i.e. dose sparing of the OAR could not be improved without target coverage being impaired or vice versa. Furthermore, various treatment techniques resulted in distinguished and well separated Pareto fronts. Pareto fronts may be used to evaluate a number of parameters within radiotherapy. Examples are TPS optimization algorithms, the variation between accelerators or delivery techniques and the degradation of a plan during the treatment planning process. The issue of designing a model for unbiased comparison of parameters with such large inherent discrepancies, e.g. different TPSs, is problematic and should be carefully considered.
帕累托最优是一个将给定的一组相互矛盾的目标之间的权衡形式化的概念。当不可能在不使至少一个其他目标恶化的情况下改进一个目标时,该解决方案被称为帕累托最优。一组帕累托最优解构成帕累托前沿。帕累托概念很好地适用于逆向规划过程,该过程涉及本质上相互矛盾的目标,一方面是高且均匀的靶区剂量,另一方面是对周围组织和附近危及器官(OAR)的保护。由于治疗计划系统(TPS)、治疗策略或交付技术的特定特征,给定病例的帕累托前沿可能会有所不同。本研究的目的是调查使用帕累托前沿作为TPS、治疗策略和交付技术的比较工具的可行性。为了对帕累托前沿进行采样,针对一些前列腺癌和头颈部调强放疗(IMRT)病例创建了多个具有不同靶区适形度和OAR剂量 sparing的治疗计划。针对靶区覆盖和相关OAR的剂量评估了每个计划的剂量体积直方图(DVH)。所有研究病例均成功创建了帕累托前沿。结果确实符合帕累托概念的定义,即如果不损害靶区覆盖,就无法改善OAR的剂量 sparing,反之亦然。此外,各种治疗技术导致了明显且分离良好的帕累托前沿。帕累托前沿可用于评估放射治疗中的许多参数。例如TPS优化算法、加速器或交付技术之间的差异以及治疗计划过程中计划的退化。设计一个用于无偏比较具有如此大固有差异的参数(例如不同的TPS)的模型的问题是有问题的,应该仔细考虑。