Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Phys Med. 2023 Jul;111:102614. doi: 10.1016/j.ejmp.2023.102614. Epub 2023 Jun 7.
This paper studied a novel calculation framework that can determine the optimal value isocenter position of single isocenter SRS treatment plan for multiple brain metastases, in order to minimize the dosimetric variations caused by rotational uncertainty.
21 patients with 2-4 GTVswho received SRS treatment for multiple brain metastases in our institution were selected for the retrospective study. The PTVwas obtained by expanding GTV 1 mm isotropic margin. We studied a stochastic optimization framework, which determined the optimal value isocenter location by maximizing the average target dose coverageCwith a rotation error of no more than 1°. We evaluated the performance of the optimal isocenter by comparing theCand average dice similarity coefficient (DSC)with the optimal value and the center of mass (CM) respectively as the treatment isocenter. The extra PTV margin to achieve 100% target dose coverage was calculated by our framework.
Compared to the CM method, the optimal value isocenter method increased the averageCof all targets from 97.0% to 97.7%and the average DSC from 0.794to 0.799. Throughout all the cases, the average extra PTV margin to obtain full target dose coverage was 0.7 mmwhen using the optimal value isocenter as the treatment isocenter.
We studied a novel computational framework using stochastic optimization to determine the optimal isocenter position of SRS treatment plan for multiple brain metastases. At the same time, our framework gave the extra PTV margin to obtain full target dose coverage.
本研究旨在建立一种新的计算框架,以确定单中心 SRS 治疗计划中多个脑转移瘤的最佳等中心点位置,从而最小化旋转不确定性引起的剂量学变化。
回顾性选择了 21 名在我院接受 SRS 治疗的 2-4 个 GTVsw 的患者。PTV 通过向 GTV 各向同性扩展 1mm 获得。我们研究了一种随机优化框架,通过最大化平均目标剂量覆盖率 C 并将旋转误差限制在 1°以内来确定最佳等中心点位置。我们通过比较最佳值和质心(CM)作为治疗等中心点时的 C 和平均骰子相似系数(DSC)来评估最佳等中心点的性能。我们的框架计算了实现 100%靶区剂量覆盖所需的额外 PTV 边界。
与 CM 方法相比,最佳值等中心点方法将所有靶区的平均 C 从 97.0%增加到 97.7%,平均 DSC 从 0.794 增加到 0.799。在所有病例中,当使用最佳值等中心点作为治疗等中心点时,获得完全靶区剂量覆盖所需的平均额外 PTV 边界为 0.7mm。
我们研究了一种使用随机优化来确定 SRS 治疗多个脑转移瘤计划的最佳等中心点位置的新计算框架。同时,我们的框架提供了获得完全靶区剂量覆盖所需的额外 PTV 边界。