Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO 63110, USA.
Semin Radiat Oncol. 2012 Jan;22(1):62-9. doi: 10.1016/j.semradonc.2011.09.005.
Despite many studies over the last 3 decades that have attempted to explicitly quantify the decision-making process for radiotherapy treatment plan evaluation, judgments of an individual plan's degree of quality are still largely subjective and can show inter- and intra-practitioner variability even if the clinical treatment goals are the same. Several factors conspire to confound the full quantification of treatment plan quality, including uncertainties in dose response of cancerous and normal tissue, the rapid pace of new technology adoption, and the human component of treatment planning. However, new developments in clinical informatics and automation are lowering the bar for developing and implementing quantitative metrics into the treatment planning process. This review discusses general strategies for using quantitative metrics in the treatment planning process and presents a case study in intensity-modulated radiation therapy planning whereby control was established on a variable system via such techniques.
尽管在过去的 30 年中进行了许多研究,试图明确量化放射治疗计划评估的决策过程,但即使临床治疗目标相同,对单个计划质量程度的判断仍然在很大程度上是主观的,并且可能表现出从业者之间和从业者内部的可变性。有几个因素混淆了治疗计划质量的全面量化,包括癌症和正常组织的剂量反应的不确定性、新技术采用的快速步伐以及治疗计划中的人为因素。然而,临床信息学和自动化的新发展降低了将定量指标纳入治疗计划过程的门槛。本文讨论了在治疗计划过程中使用定量指标的一般策略,并通过强度调制放射治疗计划中的一个案例研究说明了如何通过这些技术对可变系统进行控制。