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计划靶区(PTV)时间即将结束,接下来是稳健优化。

Time of PTV is ending, robust optimization comes next.

作者信息

Biston M-C, Chiavassa S, Grégoire V, Thariat J, Lacornerie T

机构信息

Department of Radiation Oncology, centre Léon-Bérard, 28, rue Laennec 69373 Lyon cedex 08, France; Creatis, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France.

Department of Medical Physics, Institut de cancérologie de l'Ouest, Saint-Herblain, France.

出版信息

Cancer Radiother. 2020 Oct;24(6-7):676-686. doi: 10.1016/j.canrad.2020.06.016. Epub 2020 Aug 26.

DOI:10.1016/j.canrad.2020.06.016
PMID:32861608
Abstract

Continuous improvements have been made in the way to prescribe, record and report dose distributions since the therapeutic use of ionizing radiations. The international commission for radiation units and measurement (ICRU) has provided a common language for physicians and physicists to plan and evaluate their treatments. The PTV concept has been used for more than two decades but is becoming obsolete as the CTV-to-PTV margin creates a static dose cloud that does not properly recapitulate all planning vs. delivery uncertainties. The robust optimization concept has recently emerged to overcome the limitations of the PTV concept. This concept is integrated in the inverse planning process and minimizes deviations to planned dose distribution through integration of uncertainties in the planning objectives. It appears critical to account for the uncertainties that are specific to protons and should be accounted for to better exploit the clinical potential of proton therapy. It may also improve treatment quality particularly in hypofractionated photon plans of mobile tumors and more widely to photon radiotherapy. However, in contrast to the PTV concept, a posteriori evaluation of plan quality, called robust evaluation, using error-based scenarios is still warranted. Robust optimization metrics are warranted. These metrics are necessary to compare PTV-based photon and robustly optimized proton plans in general and in model-based NTCP approaches. Assessment of computational demand and approximations of robust optimization algorithms along with metrics to evaluate plan quality are needed but a step further to better prescribe radiotherapy may has been achieved.

摘要

自电离辐射用于治疗以来,在规定、记录和报告剂量分布的方式上不断取得改进。国际辐射单位与测量委员会(ICRU)为医生和物理学家提供了一种通用语言,用于规划和评估他们的治疗方案。计划靶区(PTV)概念已经使用了二十多年,但随着临床靶区(CTV)到PTV的边界产生一个静态剂量云,无法恰当地概括所有计划与交付的不确定性,它正变得过时。稳健优化概念最近出现,以克服PTV概念的局限性。这一概念被整合到逆向计划过程中,并通过在计划目标中整合不确定性,将与计划剂量分布的偏差降至最低。考虑质子特有的不确定性似乎至关重要,并且应该加以考虑,以便更好地发挥质子治疗的临床潜力。它还可能提高治疗质量,特别是在移动肿瘤的大分割光子计划中,更广泛地应用于光子放射治疗。然而,与PTV概念不同,使用基于误差的方案对计划质量进行后验评估,即稳健评估,仍然是必要的。稳健优化指标是必要的。一般来说,在基于模型的正常组织并发症概率(NTCP)方法中,这些指标对于比较基于PTV的光子计划和稳健优化的质子计划是必要的。需要评估计算需求和稳健优化算法的近似值以及评估计划质量的指标,但在更好地规定放射治疗方面可能已经向前迈进了一步。

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