Department of Radiation Oncology, University of California, San Francisco, CA 94143, USA.
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3):943-8. doi: 10.1016/j.ijrobp.2009.07.1721.
To investigate whether dose fall-off characteristics would be significantly different among intracranial radiosurgery modalities and the influence of these characteristics on fractionation schemes in terms of normal tissue sparing.
An analytic model was developed to measure dose fall-off characteristics near the target independent of treatment modalities. Variations in the peripheral dose fall-off characteristics were then examined and compared for intracranial tumors treated with Gamma Knife, Cyberknife, or Novalis LINAC-based system. Equivalent uniform biologic effective dose (EUBED) for the normal brain tissue was calculated. Functional dependence of the normal brain EUBED on varying numbers of fractions (1 to 30) was studied for the three modalities.
The derived model fitted remarkably well for all the cases (R(2) > 0.99). No statistically significant differences in the dose fall-off relationships were found between the three modalities. Based on the extent of variations in the dose fall-off curves, normal brain EUBED was found to decrease with increasing number of fractions for the targets, with alpha/beta ranging from 10 to 20. This decrease was most pronounced for hypofractionated treatments with fewer than 10 fractions. Additionally, EUBED was found to increase slightly with increasing number of fractions for targets with alpha/beta ranging from 2 to 5.
Nearly identical dose fall-off characteristics were found for the Gamma Knife, Cyberknife, and Novalis systems. Based on EUBED calculations, normal brain sparing was found to favor hypofractionated treatments for fast-growing tumors with alpha/beta ranging from 10 to 20 and single fraction treatment for abnormal tissues with low alpha/beta values such as alpha/beta = 2.
研究颅内放射外科治疗中剂量衰减特征是否会因治疗方式的不同而存在显著差异,以及这些特征对正常组织保护方面的分割方案的影响。
开发了一种分析模型,用于独立于治疗方式测量目标附近的剂量衰减特征。然后,研究并比较了伽玛刀、Cyberknife 和 Novalis LINAC 系统治疗颅内肿瘤时的周边剂量衰减特征的变化。计算了正常脑组织的等效均匀生物学有效剂量(EUBED)。对于三种模式,研究了正常脑 EUBED 与变化的分数(1 至 30)之间的功能依赖性。
推导的模型对所有病例拟合得非常好(R²>0.99)。三种模式之间的剂量衰减关系没有统计学上的显著差异。基于剂量衰减曲线变化的程度,对于目标,正常脑 EUBED 随着分数的增加而减少,α/β范围从 10 到 20。对于α/β小于 10 的少分数分割治疗,这种减少最为明显。此外,对于α/β范围从 2 到 5 的目标,EUBED 随着分数的增加而略有增加。
发现伽玛刀、Cyberknife 和 Novalis 系统的剂量衰减特征几乎相同。根据 EUBED 计算,对于α/β范围从 10 到 20 的快速生长肿瘤,以及α/β值较低的异常组织(如α/β=2)的单次分割治疗,正常脑组织保护有利于少分数分割治疗。