Stoll Markus, Stoiber Eva Maria, Grimm Sarah, Debus Jürgen, Bendl Rolf, Giske Kristina
Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology, Heidelberg, Germany.
PLoS One. 2016 Dec 29;11(12):e0168916. doi: 10.1371/journal.pone.0168916. eCollection 2016.
Intensity modulated radiation therapy (IMRT) of head and neck tumors allows a precise conformation of the high-dose region to clinical target volumes (CTVs) while respecting dose limits to organs a risk (OARs). Accurate patient setup reduces translational and rotational deviations between therapy planning and therapy delivery days. However, uncertainties in the shape of the CTV and OARs due to e.g. small pose variations in the highly deformable anatomy of the head and neck region can still compromise the dose conformation. Routinely applied safety margins around the CTV cause higher dose deposition in adjacent healthy tissue and should be kept as small as possible.
In this work we evaluate and compare three approaches for margin generation 1) a clinically used approach with a constant isotropic 3 mm margin, 2) a previously proposed approach adopting a spatial model of the patient and 3) a newly developed approach adopting a biomechanical model of the patient. All approaches are retrospectively evaluated using a large patient cohort of over 500 fraction control CT images with heterogeneous pose changes. Automatic methods for finding landmark positions in the control CT images are combined with a patient specific biomechanical finite element model to evaluate the CTV deformation.
The applied methods for deformation modeling show that the pose changes cause deformations in the target region with a mean motion magnitude of 1.80 mm. We found that the CTV size can be reduced by both variable margin approaches by 15.6% and 13.3% respectively, while maintaining the CTV coverage. With approach 3 an increase of target coverage was obtained.
Variable margins increase target coverage, reduce risk to OARs and improve healthy tissue sparing at the same time.
头颈部肿瘤的调强放射治疗(IMRT)能够在遵守危及器官(OAR)剂量限制的同时,使高剂量区域精确适形于临床靶区(CTV)。精确的患者摆位可减少治疗计划与治疗实施日之间的平移和旋转偏差。然而,由于头颈部区域高度可变形的解剖结构中存在小的姿势变化等原因,CTV和OAR形状的不确定性仍可能影响剂量适形。常规在CTV周围设置的安全边界会导致相邻健康组织中剂量沉积增加,应尽可能减小。
在本研究中,我们评估并比较了三种边界生成方法:1)临床使用的各向同性3mm固定边界方法;2)先前提出的采用患者空间模型的方法;3)新开发的采用患者生物力学模型的方法。使用包含500多个分次控制CT图像且姿势变化各异的大型患者队列对所有方法进行回顾性评估。在控制CT图像中寻找地标位置的自动方法与患者特异性生物力学有限元模型相结合,以评估CTV变形。
所应用的变形建模方法表明,姿势变化导致靶区变形,平均运动幅度为1.80mm。我们发现,两种可变边界方法均可在保持CTV覆盖的同时,分别将CTV大小减小15.6%和13.3%。采用方法3可提高靶区覆盖率。
可变边界可增加靶区覆盖率,降低对OAR的风险,并同时改善对健康组织的保护。