Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Radiol Phys Technol. 2022 Mar;15(1):63-71. doi: 10.1007/s12194-022-00651-9. Epub 2022 Jan 24.
To evaluate the reproducibility of dose-based radiomic (dosiomic) features between dose-calculation algorithms for lung stereotactic body radiation therapy (SBRT). We analyzed 105 patients with early-stage non-small cell lung cancer who underwent lung SBRT between March 2011 and December 2017. Radiation doses of 48, 60, and 70 Gy were prescribed to the isocenter in 4-8 fractions. Dose calculations were performed using X-ray voxel Monte Carlo (XVMC) on the iPlan radiation treatment planning system (RTPS). Thereafter, the radiation doses were recalculated using the Acuros XB (AXB) and analytical anisotropic algorithm (AAA) on the Eclipse RTPS while maintaining the XVMC-calculated monitor units and beam arrangements. A total of 6808 dosiomic features were extracted without preprocessing (112 shape, 144 first-order, and 600 texture features) or with wavelet filters to eight decompositions (1152 first-order and 4800 texture features). Features with absolute pairwise concordance correlation coefficients-|CC|-values exceeding or equaling 0.85 were considered highly reproducible. Subgroup analyses were performed considering the wavelet filters and prescribed doses. The numbers of highly reproducible first-order and texture features were 34.8%, 26.9%, and 31.0% for the XVMC-AXB, XVMC-AAA, and AXB-AAA pairs, respectively. The maximum difference between the mean |CC| values was 0.70 and 0.11 for the subgroup analyses of wavelet filters and prescribed dose, respectively. The application of wavelet filter-based dosiomic analyses may be limited when using different types of dose-calculation algorithms for lung SBRT.
为了评估肺部立体定向体部放射治疗（SBRT）中不同剂量计算算法之间基于剂量的放射组学（dosiomic）特征的可重复性，我们分析了 2011 年 3 月至 2017 年 12 月期间接受肺部 SBRT 的 105 例早期非小细胞肺癌患者。4-8 个分次给予等中心点 48、60 和 70Gy 的处方剂量。使用 iPlan 放射治疗计划系统（RTPS）中的 X 射线体素蒙特卡罗（XVMC）进行剂量计算。之后，在 Eclipse RTPS 中使用 Acuros XB（AXB）和分析各向异性算法（AAA）重新计算剂量，同时保持 XVMC 计算的监测单位和射束排列。总共提取了 6808 个无预处理（112 个形状、144 个一阶和 600 个纹理特征）或使用小波滤波器进行 8 次分解的放射组学特征（1152 个一阶和 4800 个纹理特征）。特征的绝对成对一致性相关系数-|CC|-值超过或等于 0.85 被认为具有高度可重复性。考虑到小波滤波器和规定剂量，进行了亚组分析。在 XVMC-AXB、XVMC-AAA 和 AXB-AAA 对中，具有高度可重复性的一阶和纹理特征的数量分别为 34.8%、26.9%和 31.0%。对于小波滤波器和规定剂量的亚组分析，平均|CC|值的最大差异分别为 0.70 和 0.11。当使用不同类型的剂量计算算法进行肺部 SBRT 时，基于小波滤波器的放射组学分析的应用可能会受到限制。
