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首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >Interactive decision-support tool for risk-based radiation therapy plan comparison for hodgkin lymphoma
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Interactive decision-support tool for risk-based radiation therapy plan comparison for hodgkin lymphoma

机译:交互式决策支持工具,用于霍奇金淋巴瘤基于风险的放射治疗计划比较

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摘要

Purpose To present a novel tool that allows quantitative estimation and visualization of the risk of various relevant normal tissue endpoints to aid in treatment plan comparison and clinical decision making in radiation therapy (RT) planning for Hodgkin lymphoma (HL). Methods and Materials A decision-support tool for risk-based, individualized treatment plan comparison is presented. The tool displays dose-response relationships, derived from published clinical data, for a number of relevant side effects and thereby provides direct visualization of the trade-off between these endpoints. The Quantitative Analyses of Normal Tissue Effects in the Clinic reports were applied, complemented with newer data where available. A "relevance score" was assigned to each data source, reflecting how relevant the input data are to current RT for HL. Results The tool is applied to visualize the local steepness of dose-response curves to drive the reoptimization of a volumetric modulated arc therapy treatment plan for an HL patient with head-and-neck involvement. We also use this decision-support tool to visualize and quantitatively evaluate the trade-off between a 3-dimensional conformal RT plan and a volumetric modulated arc therapy plan for a patient with mediastinal HL. Conclusion This multiple-endpoint decision-support tool provides quantitative risk estimates to supplement the clinical judgment of the radiation oncologist when comparing different RT options.
机译:目的提出一种新颖的工具,该工具可以对各种相关正常组织终点的风险进行定量估计和可视化,以协助霍奇金淋巴瘤(HL)放射治疗(RT)计划中的治疗计划比较和临床决策。方法和材料介绍了用于基于风险的个性化治疗计划比较的决策支持工具。该工具显示了从已发表的临床数据中得出的各种相关副作用的剂量反应关系,从而可以直接可视化这些端点之间的折衷。应用了临床报告中正常组织作用的定量分析,并在可用的情况下补充了新数据。为每个数据源分配一个“相关性分数”,以反映输入数据与HL当前RT的相关性。结果该工具用于可视化剂量反应曲线的局部陡度,以驱动针对头颈部受累的HL患者的容积调制电弧治疗方案的重新优化。我们还使用此决策支持工具来可视化并定量评估纵隔HL患者的3D立体适形RT计划和容积调制电弧治疗计划之间的权衡。结论当比较不同的RT选择时,此多端点决策支持工具可提供定量的风险估计,以补充放射肿瘤学家的临床判断。

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