Department of Radiation Oncology, The Medical College of Wisconsin, Milwaukee, WI, USA.
Med Phys. 2018 Apr;45(4):1594-1602. doi: 10.1002/mp.12778. Epub 2018 Feb 22.
Four-dimensional volumetric modulated arc therapy (4D VMAT) and four-dimensional intensity-modulated radiotherapy (4D IMRT) are developing radiation therapy treatment strategies designed to maximize dose conformality, minimize normal tissue dose, and deliver the treatment as efficiently as possible. The patient's entire breathing cycle is captured through 4D imaging modalities and then separated into individual breathing phases for planning purposes. Optimizing multiphase VMAT and IMRT plans is computationally demanding and currently impractical for clinical application. The purpose of this study is to assess a new planning process decreasing the upfront computational time required to optimize multiphased treatment plans while maintaining good plan quality.
Optimized VMAT and IMRT plans were created on the end-of-exhale (EOE) breathing phase of 10-phase 4D CT scans with planning tumor volume (PTV)-based targets. These single-phase optimized plans are analogous to single-phase gated treatment plans. The simulated tracked plans were created by deformably registering EOE contours to the remaining breathing phases, recalculating the optimized EOE plan onto the other individual phases and realigning the MLC's relative positions to the PTV border in each of the individual breathing phases using a segment aperture morphing (SAM) algorithm. Doses for each of the 10 phases were calculated with the treatment planning system and deformably transferred back onto the EOE phase and averaged with equal weighting simulating the actual delivered dose a patient would potentially receive in a tracked treatment plan.
Plan DVH quality for the 10-phase 4D SAM plans were comparable with the individual EOE optimized treatment plans for the PTV structures as well as the organ at risk structures. SAM-based algorithms out performed simpler isocenter-shifted only approaches. SAM-based 4D planning greatly reduced plan computation time vs individually optimizing all 10 phases. In addition, since this technique allows irradiation during all 10 breathing phases it will also decrease the treatment times required to treat each fraction in comparison to the gated treatment planning approach.
Segment aperture morphing (SAM) can successfully be used to transfer radiation therapy plans originally planned on a single breathing phase image set to other patient breathing phase image sets. SAM is a useful tool for the fast creation of 4D, multibreathing phase radiation therapy treatment plans.
四维容积调强弧形治疗(4D VMAT)和四维强度调制放疗(4D IMRT)是正在开发的放射治疗策略,旨在最大限度地提高剂量适形度,最小化正常组织剂量,并尽可能有效地进行治疗。通过四维成像方式捕获患者的整个呼吸周期,然后将其分为各个呼吸阶段以进行计划。优化多相 VMAT 和 IMRT 计划的计算要求很高,目前在临床应用中不切实际。本研究的目的是评估一种新的计划流程,该流程可以减少优化多相治疗计划所需的前期计算时间,同时保持良好的计划质量。
在 10 个阶段的 4D CT 扫描的呼气末(EOE)呼吸阶段上创建基于计划靶区(PTV)的目标的优化 VMAT 和 IMRT 计划。这些单相优化计划类似于单相门控治疗计划。通过将 EOE 轮廓变形到其余呼吸阶段,重新计算优化的 EOE 计划到其他各个阶段,并使用节段孔径变形(SAM)算法在每个单独的呼吸阶段中重新调整 MLC 的相对位置到 PTV 边界,来创建模拟跟踪计划。使用治疗计划系统计算每个阶段的剂量,并将其变形回 EOE 阶段,并以相等的权重平均模拟患者在跟踪治疗计划中可能接受的实际剂量。
对于 PTV 结构和危及器官结构,10 相 4D SAM 计划的剂量体积直方图(DVH)质量与单个 EOE 优化治疗计划相当。基于 SAM 的算法优于仅使用等中心点移位的简单方法。基于 SAM 的 4D 计划大大减少了与单独优化所有 10 个阶段相比的计划计算时间。此外,由于这种技术允许在所有 10 个呼吸阶段进行照射,因此与门控治疗计划方法相比,它还将减少每个部分所需的治疗时间。
节段孔径变形(SAM)可成功用于将最初在单个呼吸阶段图像集上计划的放射治疗计划转移到其他患者呼吸阶段图像集上。SAM 是创建 4D、多呼吸阶段放射治疗计划的有用工具。