Center for Proton Therapy, Paul Scherrer Institute (PSI), Villigen PSI, Switzerland; Department of Physics, ETH Zurich, Switzerland.
Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland; Center for Medical Image Analysis & Navigation, University of Basel, Allschwil, Switzerland.
Radiother Oncol. 2020 Apr;145:154-161. doi: 10.1016/j.radonc.2019.12.001. Epub 2020 Jan 30.
Motion management is crucial in scanned proton therapy for mobile tumours. Current motion mitigation approaches rely on single 4DCTs before treatment, ignoring respiratory variability. We investigate the consequences of respiratory variations on internal target volumes (ITV) definition and motion mitigation efficacy, and propose a probabilistic ITV based on 4DMRI.
Four 4DCT(MRI) datasets, each containing 40 variable cycles of synthetic 4DCTs, were generated by warping single-phase CTs of two lung patients with motion fields extracted from two 4DMRI datasets. Two-field proton treatment plans were optimised on ITVs based on different parts of the 4DCT(MRI)s. 4D dose distributions were calculated by considering variable respiratory patterns. Different probabilistic ITVs were created by incorporating the voxels covered by the CTV in at least 25%, 50%, or 75% (ITV25, ITV50, ITV75) of the cycles, and compared with the conservative ITV encompassing all possible CTV positions.
Depending on the selected planning 4DCT, ITV volumes vary up to 20%, resulting in significant variation in CTV coverage for 4D treatments. Target coverage and homogeneity improved with the conservative ITV, but was associated with significantly increased lung dose (~1%). ITV25 and ITV50 led to acceptable plan quality in most cases without lung dose increments. ITV75 best minimised lung dose, but was insufficient to ensure coverage under all motion scenarios.
Irregular respiration significantly affects CTV coverage when ITVs are only defined by single 4DCTs. A probabilistic ITV50 provides an adequate compromise between target coverage and lung dose for most motion and patient scenarios investigated.
在移动肿瘤的扫描质子治疗中,运动管理至关重要。当前的运动缓解方法依赖于治疗前的单次 4DCT,忽略了呼吸变异性。我们研究了呼吸变化对内部靶区(ITV)定义和运动缓解效果的影响,并提出了一种基于 4DMRI 的概率 ITV。
通过对两个肺患者的单相位 CT 进行变形,生成了四个 4DCT(MRI)数据集,每个数据集包含 40 个可变的 4DCT 周期,运动场是从两个 4DMRI 数据集中提取的。基于不同的 4DCT(MRI)部分,在 ITV 上优化了两野质子治疗计划。通过考虑可变的呼吸模式,计算了 4D 剂量分布。通过将 CTV 覆盖的体素纳入至少 25%、50%或 75%(ITV25、ITV50、ITV75)的周期,创建了不同的概率 ITV,并与包含所有可能 CTV 位置的保守 ITV 进行了比较。
根据所选的计划 4DCT,ITV 体积变化可达 20%,导致 4D 治疗中 CTV 覆盖的显著变化。与保守 ITV 相比,CTV 覆盖和均匀性有所改善,但与显著增加的肺剂量(约 1%)相关。在大多数情况下,ITV25 和 ITV50 导致可接受的计划质量,而不会增加肺剂量。ITV75 最大限度地减少了肺剂量,但不足以确保在所有运动情况下的覆盖。
当 ITV 仅通过单次 4DCT 定义时,不规则呼吸会显著影响 CTV 覆盖。对于大多数运动和患者情况,概率 ITV50 在目标覆盖和肺剂量之间提供了一个适当的折衷。