Department of Radiation Sciences, Umeå University, and Department of Radiation Physics, Norrland University Hospital, Umeå, Sweden.
Int J Radiat Oncol Biol Phys. 2011 Mar 1;79(3):738-46. doi: 10.1016/j.ijrobp.2009.12.004. Epub 2010 May 14.
This study explores the implications for cancer induction of treatment details such as fractionation, planning target volume (PTV) definition, and interpatient variations, which are relevant for the radiation treatment of prostate carcinomas.
Treatment planning data from 100 patients have been analyzed with a risk model based on the United Nations Scientific Committee on the Effects of Atomic Radiation competition model. The risk model can account for dose heterogeneity and fractionation effects characteristic for modern radiotherapy. Biologically relevant parameters from clinical and experimental data have been used with the model.
The results suggested that changes in prescribed dose could lead to a modification of the risks for individual organs surrounding the clinical target volume (CTV) but that the total risk appears to be less affected by changes in the target dose. Larger differences are observed for modifications of the margins between the CTV and the PTV because these have direct impact onto the dose level and dose heterogeneity in the healthy tissues surrounding the CTV. Interpatient anatomic variations also have to be taken into consideration for studies of the risk for cancer induction from radiotherapy.
The results have shown the complex interplay between the risk for secondary malignancies, the details of the treatment delivery, and the patient heterogeneity that may influence comparisons between the long-term effects of various treatment techniques. Nevertheless, absolute risk levels seem very small and comparable to mortality risks from surgical interventions, thus supporting the robustness of radiation therapy as a successful treatment modality for prostate carcinomas.
本研究探讨了与前列腺癌放射治疗相关的治疗细节(如分割、计划靶区(PTV)定义和患者间变异)对癌症诱导的影响。
利用基于联合国原子辐射影响科学委员会竞赛模型的风险模型,对 100 例患者的治疗计划数据进行了分析。该风险模型可以考虑到现代放射治疗中具有剂量异质性和分割效应的特征。该模型使用了来自临床和实验数据的生物学相关参数。
结果表明,规定剂量的变化可能导致临床靶区(CTV)周围个别器官的风险发生变化,但靶剂量的变化似乎对总风险影响较小。CTV 和 PTV 之间的边界变化会导致更大的差异,因为这些变化直接影响CTV 周围健康组织的剂量水平和剂量异质性。对于放射治疗诱导癌症风险的研究,还需要考虑患者间解剖变异。
结果表明,继发性恶性肿瘤的风险、治疗方案的细节以及患者的异质性之间存在复杂的相互作用,这可能会影响各种治疗技术的长期效果之间的比较。然而,绝对风险水平似乎非常小,与手术干预的死亡率风险相当,因此支持放射治疗作为前列腺癌成功治疗方式的稳健性。