Kendall Ethan, Algan Ozer, Ahmad Salahuddin
Department of Radiation Oncology, Peggy and Charles Stephenson Cancer Center, University of Oklahoma HSC, Oklahoma City, OK, USA.
J Med Phys. 2018 Jan-Mar;43(1):16-22. doi: 10.4103/jmp.JMP_85_17.
In this article, we report the results of our investigation on comparison of radiobiological aspects of treatment plans with linear accelerator-based intensity-modulated radiation therapy and volumetric-modulated arc therapy for patients having hippocampal avoidance whole-brain radiation therapy.
In this retrospective study using the dose-volume histogram, we calculated and compared biophysical indices of equivalent uniform dose, tumor control probability, and normal tissue complication probability (NTCP) for 15 whole-brain radiotherapy patients.
Dose-response models for tumors and critical structures were separated into two groups: mechanistic and empirical. Mechanistic models formulate mathematically with describable relationships while empirical models fit data through empirical observations to appropriately determine parameters giving results agreeable to those given by mechanistic models.
Techniques applied in this manuscript could be applied to any other organs or types of cancer to evaluate treatment plans based on radiobiological modeling.
在本文中,我们报告了对采用直线加速器的调强放射治疗和容积调强弧形治疗为海马回避全脑放射治疗患者制定的治疗计划的放射生物学方面进行比较的调查结果。
在这项使用剂量体积直方图的回顾性研究中,我们计算并比较了15例全脑放射治疗患者的等效均匀剂量、肿瘤控制概率和正常组织并发症概率(NTCP)等生物物理指标。
肿瘤和关键结构的剂量反应模型分为两组:机制模型和经验模型。机制模型通过可描述的关系进行数学公式化,而经验模型则通过经验观察拟合数据,以适当确定参数,得出与机制模型一致的结果。
本手稿中应用的技术可应用于任何其他器官或癌症类型,以基于放射生物学建模评估治疗计划。