Killoran J H, Kooy H M, Gladstone D J, Welte F J, Beard C J
Department of Radiation Oncology, Harvard Medical School, Boston, MA 02115, USA.
Int J Radiat Oncol Biol Phys. 1997 Jan 1;37(1):213-21. doi: 10.1016/s0360-3016(96)00477-4.
In radiotherapy planning, the clinical target volume (CTV) is typically enlarged to create a planning target volume (PTV) that accounts for uncertainties due to internal organ and patient motion as well as setup error. Margin size clearly determines the volume of normal tissue irradiated, yet in practice it is often given a set value in accordance with a clinical precedent from which variations are rare. The (CTV/PTV) formalism does not account for critical structure dose. We present a numerical simulation to assess (CTV) coverage and critical organ dose as a function of treatment margins in the presence of organ motion and physical setup errors. An application of the model to the treatment of prostate cancer is presented, but the method is applicable to any site where normal tissue tolerance is a dose-limiting factor.
A Monte Carlo approach was used to simulate the cumulative effect of variation in overall tumor position, for individual treatment fractions, relative to a fixed distribution of dose. Distributions of potential dose-volume histograms (DVHs), for both tumor and normal tissues, are determined that fully quantify the stochastic nature of radiotherapy delivery. We introduce the concept of Probability of Prescription Dose (PoPD) isosurfaces as a tool for treatment plan optimization. Outcomes resulting from current treatment planning methods are compared with proposed techniques for treatment optimization. The standard planning technique of relatively large uniform margins applied to the CTV, in the beam's eye view (BEV), was compared with three other treatment strategies: (a) reduced uniform margins, (b) nonuniform margins adjusted to maximize normal tissue sparing, and (c) a reduced margin plan in which nonuniform fluence profiles were introduced to compensate for potential areas of reduced dose.
Results based on 100 simulated full course treatments indicate that a 10 mm CTV to PTV margin, combined with an additional 5 mm dosimetric margin, provides adequate CTV coverage in the presence of known treatment uncertainties. Nonuniform margins can be employed to reduce dose delivered to normal tissues while preserving CTV coverage. Nonuniform fluence profiles can also be used to further reduce dose delivered to normal tissues, though this strategy does result in higher dose levels delivered to a small volume of the CTV and normal tissues.
Monte Carlo-based treatment simulation is an effective means of assessing the impact of organ motion and daily setup error on dose delivery via external beam radiation therapy. Probability of Prescription Dose (PoPD) isosurfaces are a useful tool for the determination of nonuniform beam margins that reduce dose delivered to critical organs while preserving CTV dose coverage. Nonuniform fluence profiles can further alter critical organ dose with potential therapeutic benefits. Clinical consequences of this latter approach can only be assessed via clinical trials.
在放射治疗计划中,临床靶区(CTV)通常会扩大以创建计划靶区(PTV),该靶区考虑了由于内部器官和患者运动以及摆位误差所导致的不确定性。边界大小明确决定了受照射正常组织的体积,但在实际操作中,它通常根据临床先例给定一个固定值,很少有变化。(CTV/PTV)形式体系未考虑关键结构的剂量。我们进行了一项数值模拟,以评估在存在器官运动和物理摆位误差的情况下,作为治疗边界函数的CTV覆盖情况和关键器官剂量。本文展示了该模型在前列腺癌治疗中的应用,但该方法适用于任何正常组织耐受性是剂量限制因素的部位。
采用蒙特卡罗方法模拟个体治疗分次中总体肿瘤位置相对于固定剂量分布的变化的累积效应。确定肿瘤和正常组织的潜在剂量体积直方图(DVH)分布,以充分量化放射治疗剂量传递的随机性质。我们引入处方剂量概率(PoPD)等值面的概念作为治疗计划优化的工具。将当前治疗计划方法的结果与所提出的治疗优化技术进行比较。在射野方向观(BEV)中应用于CTV的相对较大均匀边界的标准计划技术,与其他三种治疗策略进行了比较:(a)减小均匀边界,(b)调整不均匀边界以最大化正常组织的 sparing,以及(c)引入不均匀注量分布以补偿潜在剂量降低区域的减小边界计划。
基于100次模拟全程治疗的结果表明,在存在已知治疗不确定性的情况下,10毫米的CTV到PTV边界与额外5毫米的剂量学边界相结合,可提供足够的CTV覆盖。可以采用不均匀边界来减少传递到正常组织的剂量,同时保持CTV覆盖。不均匀注量分布也可用于进一步减少传递到正常组织的剂量,尽管该策略确实会导致传递到小体积CTV和正常组织的剂量水平更高。
基于蒙特卡罗的治疗模拟是评估器官运动和每日摆位误差对通过外照射放疗的剂量传递影响的有效手段。处方剂量概率(PoPD)等值面是确定不均匀射野边界的有用工具,该边界可减少传递到关键器官的剂量,同时保持CTV剂量覆盖。不均匀注量分布可进一步改变关键器官剂量并具有潜在的治疗益处。后一种方法的临床后果只能通过临床试验来评估。