Gros Sébastien A A, Xu William, Roeske John C, Choi Mehe, Emami Bahman, Surucu Murat
Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA.
Med Phys. 2017 Mar;44(3):924-934. doi: 10.1002/mp.12067. Epub 2017 Feb 21.
To develop a novel method to monitor external anatomical changes in head and neck cancer patients in order to triage possible adaptive radiotherapy needs.
The presented approach aims to provide information on internal anatomical changes based on variations observed in external anatomy. Setup Cone Beam Computed Tomography (CBCT) images are processed to produce an accurate external contour of the patient's skin. After registering the CBCTs to the reference planning CT, the external contours from each CBCT are transferred to the initial - first week - CBCT. Contour radii, defined as the distances between an external contour and the isocenter projection in each CBCT slice, are calculated for each scan over the full 360 degrees. The changes in external anatomy are then quantified by the difference in radial distance between the external contours of any secondary CBCT relative to the initial CBCT. Finally, the radial difference is displayed in cylindrical coordinates as a 2D intensity map to highlight regions of interests with significant changes. Weekly CBCT scans from 15 head and neck patients were retrospectively analyzed to demonstrate the utility of this approach as a proof of principle. External changes suggested by the 2D radial difference map of an example patient after 23 fractions were then correlated with the changes in the gross tumor volumes and organs at risks. The resulting dosimetric effects were evaluated. An interactive standalone software application has been developed to facilitate the generation and the interpretation of the 2D intensity map.
The 2D radial difference maps provided qualitative and quantitative information, such as the location and the magnitude of external contour changes and the rate at which these deviations occur. Out of the 15 patients, 10 presented clear evidence of general external volume shrinkage due to weight loss, and nine patients had at least one site of local shrinkage. Only two patients showed no signs of anatomical change during their entire treatment course. For the example patient, the mean (±σ) radial difference was 6.7 (±3.0) mm for the left parotid and 7.3 (±2.5) mm for the right parotid. The mean dose to the left and right parotids increased from 20.1 Gy to 30 Gy and from 16.3 Gy to 29.6 Gy, respectively.
This novel method provides an efficient tool to visualize 3D external anatomical changes on a single 2D map. It quickly pinpoints the location of differences in anatomy during the course of radiotherapy, which can help physicians determine if a treatment plan needs to be adapted. The interactive graphic user interface developed in this study will be evaluated in an adaptive radiotherapy workflow for head and neck patients in a future prospective trial.
开发一种新方法来监测头颈癌患者的外部解剖结构变化,以便对可能的适应性放射治疗需求进行分类。
所提出的方法旨在根据外部解剖结构中观察到的变化提供内部解剖结构变化的信息。对设置锥束计算机断层扫描(CBCT)图像进行处理,以生成患者皮肤的精确外部轮廓。将CBCT与参考计划CT配准后,将每个CBCT的外部轮廓转移到初始(第一周)CBCT。轮廓半径定义为每个CBCT切片中外部轮廓与等中心投影之间的距离,在360度的整个扫描过程中为每次扫描计算该半径。然后通过任何二次CBCT的外部轮廓相对于初始CBCT的径向距离差异来量化外部解剖结构的变化。最后,将径向差异以圆柱坐标显示为二维强度图,以突出显示有显著变化的感兴趣区域。对15名头颈癌患者的每周CBCT扫描进行回顾性分析,以证明该方法作为原理验证的实用性。然后将一名示例患者在23次分割后二维径向差异图显示的外部变化与大体肿瘤体积和危及器官的变化相关联。评估由此产生的剂量学效应。已开发出一个交互式独立软件应用程序,以促进二维强度图的生成和解释。
二维径向差异图提供了定性和定量信息,例如外部轮廓变化的位置和大小以及这些偏差发生的速率。在这15名患者中,10名有明确证据表明由于体重减轻导致总体外部体积缩小,9名患者至少有一个局部缩小部位。只有两名患者在整个治疗过程中未显示出解剖结构变化的迹象。对于该示例患者,左侧腮腺的平均(±标准差)径向差异为6.7(±3.0)mm,右侧腮腺为7.3(±2.5)mm。左侧和右侧腮腺的平均剂量分别从20.1 Gy增加到30 Gy和从16.3 Gy增加到29.6 Gy。
这种新方法提供了一种有效的工具,可在单个二维图上可视化三维外部解剖结构变化。它能在放射治疗过程中快速确定解剖结构差异的位置,这有助于医生确定是否需要调整治疗计划。本研究中开发的交互式图形用户界面将在未来的前瞻性试验中对头颈癌患者的适应性放射治疗工作流程进行评估。