Department of Radiation Oncology, Yamagata University Faculty of Medicine, 2-2-2, Iida-Nishi, Yamagata 990-9585, Japan.
Department of Heavy Particle Medical Science, Yamagata University Faculty of Medicine, 2-2-2, Iida-Nishi, Yamagata 990-9585, Japan.
J Radiat Res. 2021 Jul 10;62(4):699-706. doi: 10.1093/jrr/rrab047.
We aimed to predict the minimum distance between a tumor and the gastrointestinal (GI) tract that can satisfy the dose constraint by creating simulation plans with carbon-ion (C-ion) radiotherapy (RT) and photon RT for each case assuming insertion of virtual spacers of various thicknesses. We enrolled 55 patients with a pelvic tumor adjacent to the GI tract. Virtual spacers were defined as the overlap volume between the GI tract and the volume expanded 7-17 mm from the gross tumor volume (GTV). Simulation plans (70 Gy in 35 fractions for at least 95% of the planning target volume [PTV]) were created with the lowest possible dose to the GI tract under conditions that meet the dose constraints of the PTV. We defined the minimum thickness of virtual spacers meeting D2 cc of the GI tract <50 Gy as 'MTS'. Multiple regression was used with explanatory variables to develop a model to predict MTS. We discovered that MTSs were at most 9 mm and 13 mm for C-ion RT and photon RT plans, respectively. The volume of overlap between the GI tract and a virtual spacer of 14 mm in thickness (OV14)-PTV was found to be the most important explanatory variable in the MTS prediction equation for both C-ion and photon RT plans. Multiple R2 values for the regression model were 0.571 and 0.347 for C-ion RT and photon RT plans, respectively. In conclusion, regression equations were developed to predict MTS in C-ion RT and photon RT.
我们旨在通过为每个病例创建模拟计划,来预测肿瘤与胃肠道(GI)之间满足剂量限制的最小距离,这些计划假设插入了各种厚度的虚拟间隔物。我们招募了 55 名骨盆肿瘤紧邻 GI 道的患者。虚拟间隔物被定义为 GI 道与从大体肿瘤体积(GTV)扩展 7-17 毫米的体积之间的重叠体积。在满足 PTV 剂量限制的条件下,以胃肠道的最低可能剂量创建了模拟计划(70Gy 分 35 次,至少 95%的计划靶区[PTV])。我们将满足 GI 道 D2 cc <50Gy 的虚拟间隔物的最小厚度定义为“MTS”。使用解释变量进行多元回归,以开发预测 MTS 的模型。我们发现,对于 C 离子 RT 和光子 RT 计划,MTS 最大分别为 9mm 和 13mm。对于 C 离子 RT 和光子 RT 计划,GI 道与 14mm 厚虚拟间隔物的重叠体积(OV14-PTV)是 MTS 预测方程中最重要的解释变量。回归模型的多重 R2 值分别为 0.571 和 0.347。总之,我们为 C 离子 RT 和光子 RT 开发了预测 MTS 的回归方程。