Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas.
Int J Radiat Oncol Biol Phys. 2013 Nov 1;87(3):596-601. doi: 10.1016/j.ijrobp.2013.06.2036. Epub 2013 Jul 29.
The purpose of this work was to determine the expansions in 6 anatomic directions that produced optimal margins considering nonrigid setup errors and tissue deformation for patients receiving image-guided radiation therapy (IGRT) of the oropharynx.
For 20 patients who had received IGRT to the head and neck, we deformably registered each patient's daily images acquired with a computed tomography (CT)-on-rails system to his or her planning CT. By use of the resulting vector fields, the positions of volume elements within the clinical target volume (CTV) (target voxels) or within a 1-cm shell surrounding the CTV (normal tissue voxels) on the planning CT were identified on each daily CT. We generated a total of 15,625 margins by dilating the CTV by 1, 2, 3, 4, or 5 mm in the posterior, anterior, lateral, medial, inferior, and superior directions. The optimal margins were those that minimized the relative volume of normal tissue voxels positioned within the margin while satisfying 1 of 4 geometric target coverage criteria and 1 of 3 population criteria.
Each pair of geometric target coverage and population criteria resulted in a unique, anisotropic, optimal margin. The optimal margin expansions ranged in magnitude from 1 to 5 mm depending on the anatomic direction of the expansion and on the geometric target coverage and population criteria. Typically, the expansions were largest in the medial direction, were smallest in the lateral direction, and increased with the demand of the criteria. The anisotropic margin resulting from the optimal set of expansions always included less normal tissue than did any isotropic margin that satisfied the same pair of criteria.
We demonstrated the potential of anisotropic margins to reduce normal tissue exposure without compromising target coverage in IGRT to the head and neck.
本研究旨在确定在考虑非刚性摆位误差和组织变形的情况下,为接受图像引导放疗(IGRT)的口咽癌患者提供最佳边界扩张的 6 个解剖方向。
对 20 例接受头颈部 IGRT 的患者,我们使用基于 CT 的轨道系统对每位患者的每日图像进行变形配准,并将其与计划 CT 配准。利用所得的矢量场,确定计划 CT 上CTV(靶区体素)或其周围 1cm 范围内(正常组织体素)的每个容积元素的位置。我们通过在前后、左右、上下方向上分别对 CTV 进行 1、2、3、4 或 5mm 的扩张,总共生成了 15625 个边界。最佳边界是在满足 4 个几何靶区覆盖标准和 3 个人群标准之一的情况下,使位于边界内的正常组织体素的相对体积最小的边界。
每一对几何靶区覆盖和人群标准都产生了一个独特的各向异性最佳边界。最佳边界扩张的大小因扩张的解剖方向、几何靶区覆盖和人群标准而异。通常,内侧方向的扩张最大,外侧方向的扩张最小,并且随着标准的要求而增加。由最佳扩展集产生的各向异性边界始终包含比满足相同标准的任何各向同性边界更少的正常组织。
我们证明了在头颈部 IGRT 中,各向异性边界在不影响靶区覆盖的情况下,有潜力减少正常组织的暴露。