Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
J Appl Clin Med Phys. 2021 Oct;22(10):152-160. doi: 10.1002/acm2.13410. Epub 2021 Sep 20.
The goal of this study was to investigate how the choice of the region of interest (ROI) affects the registration results of surface imaging for daily positioning of breast cancer patients.
The AlignRT system (VisionRT, London) and the XVI Cone beam CT (CBCT; Elekta, Stockholm) installed on two Versa HD linacs (Elekta) were used in this study, which included 28 patients (160 fractions). In the clinical workflow, patients were prepositioned with AlignRT and then shifted in 6 degrees of freedom (DOF) according to the CBCT. A new reference capture was taken immediately afterward. Retrospectively, the surface capture resulting from prepositioning was registered to the latest reference capture. By varying the ROI used for registration, the surface-based results were optimized in terms of minimizing the deviation to the clinically applied CBCT shifts. Two sets of ROIs were used: one obtained by applying a variable margin to the breast surface, another by combining ROIs of anatomical structures, including the sternum and contralateral breast.
Registration results showed significant differences from one ROI to another. Generally, the results improved with increasing ROI size, especially for rotational DOFs. ROIs, including the axilla or supraclavicular lymph drainage region, did not yield an improved registration result. On the other hand, an ROI comprising the breast surface, sternum, and a belt caudal to the breasts decreased the average magnitude of the translational and rotational deviations by 6.6% and 30.8% (p < 0.01), respectively, compared to the breast surface only results.
The influence of the ROI choice on surface imaging registration results was analyzed and the surface-based shifts were compared to clinically applied CBCT shifts. An optimal ROI for the treatment of breast cancer patients, consisting of the breast surface, sternum, and a belt, was identified.
本研究旨在探讨感兴趣区域(ROI)选择如何影响乳腺癌患者日常定位中表面成像的配准结果。
本研究使用了 AlignRT 系统(VisionRT,伦敦)和安装在两台 Versa HD 直线加速器(Elekta)上的 XVI 锥形束 CT(CBCT;Elekta,斯德哥尔摩),共纳入 28 名患者(160 个分次)。在临床工作流程中,患者先用 AlignRT 预定位,然后根据 CBCT 在 6 个自由度(DOF)方向上移动。随后立即进行新的参考点采集。回顾性地,将预定位产生的表面捕获与最新的参考点捕获进行配准。通过改变用于配准的 ROI,优化基于表面的结果,以最小化与临床应用的 CBCT 移动的偏差。使用了两组 ROI:一组通过在乳房表面应用可变边界获得,另一组通过结合包括胸骨和对侧乳房在内的解剖结构的 ROI 获得。
配准结果显示出从一个 ROI 到另一个 ROI 的显著差异。通常,随着 ROI 尺寸的增加,配准结果会得到改善,特别是对于旋转 DOF。包括腋窝或锁骨上淋巴结引流区的 ROI 并没有产生更好的配准结果。另一方面,与仅使用乳房表面 ROI 相比,包括乳房表面、胸骨和乳房下方的皮带的 ROI 分别使平移和旋转偏差的平均幅度降低了 6.6%和 30.8%(p<0.01)。
分析了 ROI 选择对表面成像配准结果的影响,并比较了基于表面的移动与临床应用的 CBCT 移动。确定了一个用于治疗乳腺癌患者的最佳 ROI,包括乳房表面、胸骨和皮带。