Department of Medical Physics, Memorial Sloan Kettering Cancer Center , New York , NY , USA.
Acta Oncol. 2019 Oct;58(10):1446-1450. doi: 10.1080/0284186X.2019.1627415. Epub 2019 Jun 26.
Proton dose distributions are sensitive to range uncertainties, resulting in margins added to ensure adequate tumor control probability (TCP). We investigated the required margin and dose shape needed to ensure adequate TCP, for representative tumor cell distributions in the clinical target volume (CTV). A mechanistic tumor response model, validated for lung tumors, was used to estimate TCP. The tumor cell distribution ( ) was assumed to decrease exponentially in the CTV with decay parameter toward the outer border ( ). It was investigated if a gradual dose fall-off could reduce the dose to normal tissues outside the CTV, while achieving adequate TCP. For various values of and we derived adequate uniform dose margins ( ), coupled to linear dose fall-off regions ( cm), that ensured while delivering the least mean dose outside the CTV. To account for variabilities in patients and tumor types, variable probabilities ( ) of finding tumor cells in the non-GTV part of the CTV for a given patient were also tested. Dose from a single beam or two opposing beams was simulated under the influence of a typical stopping power ratio uncertainty of 3.5%. For large and a dose distribution with a shallower dose fall-off ( ) was advantageous, and could be smaller than In the case of small values, however, a conventional dose distribution ( ) would generally perform better. For no CTV, cm in the case of two opposing beams, while it was 0.7 cm for a single beam, however, for two opposing beams cm ( cm), while it was zero for a single beam. The details of the underlying cancer cell distribution characteristics do impact the adequate dose arrangements, and for opposing beams a non-conventional dose distribution shape is often advantageous.
质子剂量分布对射程不确定性敏感,这会导致需要增加边缘以确保足够的肿瘤控制概率(TCP)。我们研究了为确保代表性肿瘤细胞分布在临床靶区(CTV)中具有足够的 TCP 所需的边缘和剂量形状。用于估计 TCP 的机制肿瘤反应模型已针对肺部肿瘤进行了验证。假设肿瘤细胞分布( )在 CTV 中呈指数衰减,衰减参数 向外侧边界( )递减。研究了是否可以通过逐渐减少剂量来降低 CTV 外正常组织的剂量,同时实现足够的 TCP。对于 和 的各种值,我们推导出了足够的均匀剂量边缘( ),同时耦合线性剂量下降区域( cm),以确保 ,同时在 CTV 外输送最低平均剂量。为了考虑患者和肿瘤类型的变异性,还针对特定患者 CTV 非 GTV 部分中发现肿瘤细胞的概率( )进行了可变测试。在典型的停止功率比不确定性为 3.5%的影响下,模拟了来自单个射束或两个相对射束的剂量。对于大的 和 ,具有较浅剂量下降的剂量分布( )是有利的,并且 可以小于 。然而,对于小的 值,通常会表现出更好的常规剂量分布( )。对于没有 CTV,对于两个相对射束为 0.7 cm,而对于单个射束为 0.7 cm,而对于两个相对射束为 0.7 cm( cm),而对于单个射束为零。潜在的癌细胞分布特征的细节确实会影响适当的剂量安排,并且对于相对射束,非常规的剂量分布形状通常是有利的。