当使用基于知识的前列腺癌计划系统时,由于器官轮廓的观察者间变异性的剂量学效应

Han Liu, Christopher Amaloo, B. Sintay, D. Wiant
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引用次数: 2

摘要

目的:放疗是一种被广泛接受的早期前列腺癌的治疗标准,人们认为放疗计划的质量和治疗结果与靶器官和危险器官(OAR)的轮廓准确性有关。本研究的目的是1)评估几何和剂量学的不确定性,因为观察者之间的轮廓变化,2)评估几何指标预测前列腺放疗靶剂量的有效性。方法:选取20例前列腺病患者进行回顾性研究。五位经验丰富的临床医生为每位患者创建了独特的结构集,包括前列腺、精囊、膀胱和直肠。一个完全自动化的脚本和基于知识的计划程序被用来创建标准化和无偏的计划,可用于评估由于结构分割的观察者间可变性而导致的等剂量分布的变化。计划是在“黄金标准”结构集上创建的,以及在每个用户定义的结构集上创建的。结果:在结构分割过程中,观察者间轮廓的变异性对于边界明确的器官(如膀胱)非常低,而对于边界不明确的器官(如前列腺、精囊和直肠)则增加。对于使用用户定义结构集生成的计划,低风险和中风险患者组的目标结构一致性几何指标与目标覆盖率之间存在强/中等相关性,而OAR指标与最终剂量学没有相关性。结论:目标圈定对于保持足够的剂量覆盖至关重要,无论相关的观察者之间的不确定性对最终剂量测量的影响有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dosimetric Effects Due to Inter-Observer Variability of Organ Contouring When Utilizing a Knowledge-Based Planning System for Prostate Cancer
Purpose: Radiotherapy is a widely accepted standard of care for early-stage prostate cancer, and it is believed that the plan quality and treatment outcome are associated with contour accuracy of both the target and organs-at-risk (OAR). The purposes of this study are to 1) assess geometric and dosimetric uncertainties due to inter-observer contour variabilities and 2) evaluate the effectiveness of geometric indicators to predict target dosimetry in prostate radiotherapy. Methods: Twenty prostate patients were selected for this retrospective study. Five experienced clinicians created unique structure sets containing prostate, seminal vesicles, bladder, and rectum for each patient. A fully automated script and knowledge-based planning routine were utilized to create standardized and unbiased plans that could be used to evaluate changes in isodose distributions due to inter-observer variability in structure segmentation. Plans were created on a “gold-standard” structure set, as well as on each of the user-defined structure sets. Results: Inter-observer variability of contours during structure segmentation was very low for clearly defined organs such as the bladder but increased for organs without well-defined borders (prostate, seminal vesicles, and rectum). For plans generated with the user-defined structure sets, strong/moderate correlations were observed between the geometric indicators for target structure agreement and target coverage for both low-risk and intermediate-risk patient groups, while OAR indicators showed no correlation to final dosimetry. Conclusions: Target delineation is crucial in order to maintain adequate dosimetric coverage regardless of the associated inter-observer uncertainties in OAR contours that had a limited impact upon final dosimetry.
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