Complication probability as assessed from dose-volume histograms.
Complication probability as assessed from dose-volume histograms.
复制标题
DOI：
10.2307/3583506
复制
发表时间：
1985
期刊：
影响因子：
--
通讯作者：
J. Lyman
中科院分区：
文献类型：
--
作者：
J. Lyman
放射治疗治疗计划的优化将产生一个具有最高肿瘤控制概率的计划，而不会超过可接受的并发症发生率。为了实现这一目标，有必要有一种方法来估计局部控制和正常组织并发症的概率。一般来说，良好的治疗计划向靶体积提供高的均匀剂量，并向周围正常组织提供较低的剂量。各种正常组织可用的耐受剂量值通常假定适用于已被均匀辐照的组织的部分或全部体积。这些值是估计组织并发症概率的最佳指南，这些组织的一部分接受均匀剂量，其余部分没有剂量。剂量-体积直方图是评价组织辐照均匀性的一种方法。通常，正常组织没有被均匀地照射，如不同治疗计划的剂量-体积直方图所示。一个递归算法，它使用这些耐受剂量数据已被写入，并可应用于任意剂量体积直方图，以估计并发症的概率。
Optimization of a treatment plan for radiation therapy will produce a plan with the highest probability for tumor control without exceeding an acceptable complication rate. To achieve this goal it is necessary to have a means to estimate probabilities of local control and normal tissue complication. In general, good treatment plans deliver a high uniform dose to the target volume and lower doses to the surrounding normal tissues. The tolerance dose values available for various normal tissues are usually assumed to apply to partial or full volumes of the tissue which have been uniformly irradiated. These values are the best guidelines for estimating complication probabilities in tissues that receive a uniform dose to a fraction of the tissue and no dose to the remainder. Dose-volume histograms are one means of evaluating the uniformity of the irradiation on the tissues. Frequently the normal tissues are not uniformly irradiated as is demonstrated by dose-volume histograms for different treatment plans. A recursive algorithm which uses these tolerance dose data has been written and can be applied to arbitrary dose-volume histograms to estimate the complication probability.