Department of Radiation Oncology, University of Virginia, Charlottesville, VA 22908, United States of America. Radiological Physics, University of Virginia, 1335 Lee St, Box 800375, Charlottesville, VA 22908, United States of America. Author to whom any correspondence should be addressed.
Phys Med Biol. 2019 Jul 5;64(13):135020. doi: 10.1088/1361-6560/ab205c.
The purpose of this study was to quantify the potential dosimetric impact of delineation variability (DV) in head and neck radiation therapy (RT) when inherent patient setup variability (SV) is also considered. The impact of DV was assessed by generating plans with multiple structure sets, cross-evaluating them, including SV, across sets, and determining P : the probability of achieving organ-specific plan quality metrics (PQM). DV was incorporated by: (1) using multiple organ at risk (OAR) structure sets delineated by independent manual observers; and (2) randomly perturbing manually generated OARs to generate alternatives with varying levels of uncertainty (low, medium, and high DV). For each structure set, independent VMAT plans were auto-generated to meet clinical PQMs. Each plan was cross-evaluated using OARs from multiple structure sets with simulated SV including per-fraction random (σ ) and per-treatment-course systematic (Σ) setup errors. The dosimetric impact of DV was assessed by examining P with and without SV/DV. Clinically significant differences were defined by those that exceeded differences caused by a +2% output variation. Without including SV, simulated DV at the medium level reduced P by an average of 5.5% for all OARs with D PQMs. This reduction decreased to 2.8% for SV = 2 mm and 2.4% for SV = 4 mm (the average P reduction due to 2% output errors was 2.7%). For OARs with D PQMs, the average P reduction was 0.9% for SV = 0 and ⩽0.1% for SV ⩾ 2 mm. The effect of DV was larger for OARs that directly abutted a target volume than for those that did not. These trends were also observed with real DV from multi-observer delineations. The dosimetric impact of DV appeared to decrease when random and systematic SV was considered. Sensitivity to DV was affected by OAR objective type (i.e. D versus D objectives) as well as distance from the target volume.
本研究旨在量化在考虑固有患者摆位变异性(SV)时,头颈部放射治疗(RT)中勾画变异性(DV)的潜在剂量学影响。通过生成多个结构集的计划、跨集交叉评估包括 SV 的计划以及确定 P(实现器官特异性计划质量指标(PQM)的概率),评估了 DV 的影响。通过以下两种方式纳入 DV:(1)使用由独立手动观察者勾画的多个危及器官(OAR)结构集;(2)通过手动生成 OAR 来随机扰动以生成具有不同不确定性水平(低、中、高 DV)的替代方案。对于每个结构集,自动生成独立的 VMAT 计划以满足临床 PQM。使用来自多个结构集的 OAR 交叉评估具有模拟 SV 的每个计划,包括分次随机(σ)和治疗过程系统(Σ)的设置误差。通过检查有/无 SV/DV 时的 P 评估 DV 的剂量学影响。具有显著临床意义的差异定义为超过由于输出变化 2%而引起的差异。不包括 SV 时,模拟的中等水平 DV 会降低所有 OAR 的 P ,对于具有 D PQM 的 OAR,其平均降低 5.5%。当 SV=2mm 时,这种降低减少到 2.8%,当 SV=4mm 时,这种降低减少到 2.4%(由于输出误差 2%导致的平均 P 降低为 2.7%)。对于具有 D PQM 的 OAR,SV=0 时的平均 P 降低为 0.9%,SV≥2mm 时平均 P 降低为 0.1%。对于直接毗邻靶区的 OAR,DV 的影响大于不毗邻靶区的 OAR。从多观察者勾画中获得的真实 DV 也观察到了这些趋势。当考虑随机和系统 SV 时,DV 的剂量学影响似乎会降低。对 DV 的敏感性受 OAR 目标类型(即 D 与 D 目标)以及距靶区的距离的影响。