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Sensitivity of postplanning target and OAR coverage estimates to dosimetric margin distribution sampling parameters

机译:后计划目标和OAR覆盖率估计值对剂量边际分布采样参数的敏感性

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摘要

>Purpose: A dosimetric margin (DM) is the margin in a specified direction between a structure and a specified isodose surface, corresponding to a prescription or tolerance dose. The dosimetric margin distribution (DMD) is the distribution of DMs over all directions. Given a geometric uncertainty model, representing inter- or intrafraction setup uncertainties or internal organ motion, the DMD can be used to calculate coverage Q, which is the probability that a realized target or organ-at-risk (OAR) dose metric Dv exceeds the corresponding prescription or tolerance dose. Postplanning coverage evaluation quantifies the percentage of uncertainties for which target and OAR structures meet their intended dose constraints. The goal of the present work is to evaluate coverage probabilities for 28 prostate treatment plans to determine DMD sampling parameters that ensure adequate accuracy for postplanning coverage estimates.>Methods: Normally distributed interfraction setup uncertainties were applied to 28 plans for localized prostate cancer, with prescribed dose of 79.2 Gy and 10 mm clinical target volume to planning target volume (CTV-to-PTV) margins. Using angular or isotropic sampling techniques, dosimetric margins were determined for the CTV, bladder and rectum, assuming shift invariance of the dose distribution. For angular sampling, DMDs were sampled at fixed angular intervals ω (e.g., ω=1°,2°,5°,10°,20°). Isotropic samples were uniformly distributed on the unit sphere resulting in variable angular increments, but were calculated for the same number of sampling directions as angular DMDs, and accordingly characterized by the effective angular increment ωeff. In each direction, the DM was calculated by moving the structure in radial steps of size δ(=0.1,0.2,0.5,1 mm) until the specified isodose was crossed. Coverage estimation accuracy ΔQ was quantified as a function of the sampling parameters ω or ωeff and δ.>Results: The accuracy of coverage estimates depends on angular and radial DMD sampling parameters ω or ωeff and δ, as well as the employed sampling technique. Target |ΔQ|<1% and OAR |ΔQ|<3% can be achieved with sampling parameters ω or ωeff=20°, δ=1 mm. Better accuracy (target |ΔQ|<0.5% and OAR |ΔQ|<∼1%) can be achieved with ω or ωeff=10°, δ=0.5 mm. As the number of sampling points decreases, the isotropic sampling method maintains better accuracy than fixed angular sampling.>Conclusions: Coverage estimates for post-planning evaluation are essential since coverage values of targets and OARs often differ from the values implied by the static margin-based plans. Finer sampling of the DMD enables more accurate assessment of the effect of geometric uncertainties on coverage estimates prior to treatment. DMD sampling with ω or ωeff=10° and δ=0.5 mm should be adequate for planning purposes.
机译:>目的:剂量容限(DM)是在结构与指定的等剂量表面之间的指定方向上的容限,对应于处方或耐受剂量。剂量容限分布(DMD)是DM在所有方向上的分布。给定一个几何不确定性模型,该模型表示分数间或分数内设置的不确定性或内部器官运动,则DMD可用于计算覆盖率Q,这是已实现的目标或危险器官(OAR)剂量度量Dv超过概率的可能性。相应的处方或耐受剂量。计划后覆盖评估评估了目标和OAR结构满足其预期剂量限制的不确定性百分比。当前工作的目标是评估28个前列腺治疗计划的覆盖率概率,以确定DMD采样参数,以确保为计划后的覆盖率估计提供足够的准确性。>方法:正态分布分数不确定度应用于28个前列腺癌治疗计划局限性前列腺癌,处方剂量为79.2 Gy,临床目标体积为10 mm(计划CTV到PTV)。使用角度或各向同性采样技术,假定剂量分布的位移不变,确定了CTV,膀胱和直肠的剂量裕度。为了进行角度采样,以固定的角度间隔ω(例如,ω= 1°,2°,5°,10°,20°)对DMD进行采样。各向同性的样本均匀地分布在单位球体上,从而导致可变的角度增量,但针对与角度DMD相同数量的采样方向进行了计算,并因此以有效角度增量ωeff为特征。在每个方向上,通过沿大小为δ(= 0.1,0.2,0.5,1 mm)的径向步长移动结构,直到越过指定的等剂量剂量来计算DM。覆盖率估计精度ΔQ根据采样参数ω或ωeff和δ进行量化。>结果:覆盖率估计的精度取决于角度和径向DMD采样参数ω或ωeff和δ以及使用的采样技术。使用采样参数ω或ωeff= 20°,δ= 1 mm可以实现目标|ΔQ| <1%和OAR |ΔQ| <3%。当ω或ωeff= 10°,δ= 0.5 mm时,可以实现更好的精度(目标|ΔQ| <0.5%,OAR |ΔQ| <〜1%)。随着采样点数量的减少,各向同性采样方法将比固定角度采样保持更高的准确性。>结论:由于目标和OAR的覆盖率值通常与值不同,因此用于后计划评估的覆盖率估计必不可少静态基于保证金的计划暗示。对DMD进行更精细的采样可以在治疗之前更准确地评估几何不确定性对覆盖率估计值的影响。 ω或ωeff= 10°且δ= 0.5 mm的DMD采样应足够用于计划目的。

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