Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S3-9. doi: 10.1016/j.ijrobp.2009.09.040.
Advances in dose-volume/outcome (or normal tissue complication probability, NTCP) modeling since the seminal Emami paper from 1991 are reviewed. There has been some progress with an increasing number of studies on large patient samples with three-dimensional dosimetry. Nevertheless, NTCP models are not ideal. Issues related to the grading of side effects, selection of appropriate statistical methods, testing of internal and external model validity, and quantification of predictive power and statistical uncertainty, all limit the usefulness of much of the published literature. Synthesis (meta-analysis) of data from multiple studies is often impossible because of suboptimal primary analysis, insufficient reporting and variations in the models and predictors analyzed. Clinical limitations to the current knowledge base include the need for more data on the effect of patient-related cofactors, interactions between dose distribution and cytotoxic or molecular targeted agents, and the effect of dose fractions and overall treatment time in relation to nonuniform dose distributions. Research priorities for the next 5-10 years are proposed.
自 1991 年 Emami 开创性论文以来,剂量-体积/结果(或正常组织并发症概率,NTCP)建模方面取得了一些进展。随着越来越多的使用三维剂量学对大型患者样本进行研究,已经取得了一些进展。然而,NTCP 模型并不理想。与副作用分级、选择适当的统计方法、内部和外部模型有效性测试以及预测能力和统计不确定性的量化相关的问题,都限制了已发表文献的很大一部分的实用性。由于主要分析不够理想、报告不足以及分析的模型和预测因素存在差异,因此常常无法对来自多项研究的数据进行综合(荟萃分析)。当前知识库的临床局限性包括需要更多关于患者相关协变量影响、剂量分布与细胞毒性或分子靶向药物之间相互作用以及与不均匀剂量分布相关的剂量分数和总治疗时间的影响的数据。提出了未来 5-10 年的研究重点。