工作流程
放射治疗计划
平面图(考古学)
稳健性(进化)
医学物理学
计算机科学
放射治疗
质量(理念)
质量管理
医学
运营管理
数据库
外科
工程类
哲学
考古
认识论
化学
管理制度
基因
历史
生物化学
作者
Víctor Hernández,Christian Rønn Hansen,L. Widesott,Anna Bäck,Richard Canters,M. Fusella,Julia Götstedt,Diego Jurado‐Bruggeman,Nobutaka Mukumoto,Laura Patricia Kaplan,Irena Koniarová,T. Piotrowski,Lorenzo Placidi,Ana Vaniqui,N. Jornet
标识
DOI:10.1016/j.radonc.2020.09.038
摘要
Plan evaluation is a key step in the radiotherapy treatment workflow. Central to this step is the assessment of treatment plan quality. Hence, it is important to agree on what we mean by plan quality and to be fully aware of which parameters it depends on. We understand plan quality in radiotherapy as the clinical suitability of the delivered dose distribution that can be realistically expected from a treatment plan. Plan quality is commonly assessed by evaluating the dose distribution calculated by the treatment planning system (TPS). Evaluating the 3D dose distribution is not easy, however; it is hard to fully evaluate its spatial characteristics and we still lack the knowledge for personalising the prediction of the clinical outcome based on individual patient characteristics. This advocates for standardisation and systematic collection of clinical data and outcomes after radiotherapy. Additionally, the calculated dose distribution is not exactly the dose delivered to the patient due to uncertainties in the dose calculation and the treatment delivery, including variations in the patient set-up and anatomy. Consequently, plan quality also depends on the robustness and complexity of the treatment plan. We believe that future work and consensus on the best metrics for quality indices are required. Better tools are needed in TPSs for the evaluation of dose distributions, for the robust evaluation and optimisation of treatment plans, and for controlling and reporting plan complexity. Implementation of such tools and a better understanding of these concepts will facilitate the handling of these characteristics in clinical practice and be helpful to increase the overall quality of treatment plans in radiotherapy.
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