Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Med Phys. 2021 Jul;48(7):3438-3452. doi: 10.1002/mp.14990. Epub 2021 Jun 11.
Major advances in delivery systems in recent years have turned radiotherapy (RT) into a more effective way to manage prostate cancer. Still, adjacency of organs at risk (OARs) can severely limit RT benefits. Rectal spacer implant in recto-prostatic space provides sufficient separation between prostate and rectum, and therefore, the opportunity for potential dose escalation to the target and reduction of OAR dose. Pretreatment simulation of spacer placement can potentially provide decision support to reduce the risks and increase the efficacy of the spacer placement procedure.
A novel finite element method-oriented spacer simulation algorithm, FEMOSSA, was developed in this study. We used the finite element (FE) method to model and predict the deformation of rectum and prostate wall, stemming from hydrogel injection. Ten cases of prostate cancer, which undergone hydrogel placement before the RT treatment, were included in this study. We used the pre-injection organ contours to create the FE model and post-injection spacer location to estimate the distribution of the virtual spacer. Material properties and boundary conditions specific to each patient's anatomy were assigned. The FE analysis was then performed to determine the displacement vectors of regions of interest (ROIs), and the results were validated by comparing the virtually simulated contours with the real post-injection contours. To evaluate the different aspects of our method's performance, we used three different figures of merit: dice similarity coefficient (DSC), nearest neighbor distance (NND), and overlapped volume histogram (OVH). Finally, to demonstrate a potential dosimetric application of FEMOSSA, the predicted rectal dose after virtual spacer placement was compared against the predicted post-injection rectal dose.
Our simulation showed a realistic deformation of ROIs. The post-simulation (virtual spacer) created the same separation between prostate and rectal wall, as post-injection spacer. The average DSCs for prostate and rectum were 0.87 and 0.74, respectively. Moreover, there was a statistically significant increase in rectal contour similarity coefficient (P < 0.01). Histogram of NNDs showed the same overall shape and a noticeable shift from lower to higher values for both post-simulation and post-injection, indicative of the increase in distance between prostate and rectum. There was less than 2.2- and 2.1-mm averaged difference between the mean and fifth percentile NNDs. The difference between the OVH distances and the corresponding predicted rectal dose was, on average, less than 1 mm and 1.5 Gy, respectively.
FEMOSSA provides a realistic simulation of the hydrogel injection process that can facilitate spacer placement planning and reduce the associated uncertainties. Consequently, it increases the robustness and success rate of spacer placement procedure that in turn improves prostate cancer RT quality.
近年来,在放射治疗(RT)中,输送系统取得了重大进展,使其成为一种更有效的治疗前列腺癌的方法。尽管如此,由于毗邻的危险器官(OARs),RT 的疗效可能会受到严重限制。在直肠前列腺间隙中植入直肠间隔器可以为前列腺和直肠之间提供足够的分离,从而有机会对靶区进行潜在的剂量升级,并降低 OAR 剂量。在间隔器放置前进行预处理模拟,有可能为降低风险和提高间隔器放置程序的疗效提供决策支持。
本研究开发了一种新的基于有限元方法(FEM)的间隔器模拟算法,FEMOSSA。我们使用有限元(FE)方法来模拟和预测水凝胶注射引起的直肠和前列腺壁的变形。本研究纳入了 10 例在 RT 治疗前接受水凝胶放置的前列腺癌患者。我们使用注射前的器官轮廓创建 FE 模型,并根据注射后的间隔器位置来估计虚拟间隔器的分布。为每个患者的解剖结构指定了特定的材料特性和边界条件。然后进行 FE 分析,以确定感兴趣区域(ROI)的位移向量,并通过将虚拟模拟的轮廓与实际注射后的轮廓进行比较来验证结果。为了评估我们的方法性能的不同方面,我们使用了三个不同的性能指标:骰子相似系数(DSC)、最近邻距离(NND)和重叠体积直方图(OVH)。最后,为了展示 FEMOSSA 的潜在剂量学应用,我们将虚拟间隔器放置后的预测直肠剂量与预测注射后直肠剂量进行了比较。
我们的模拟显示了 ROI 的真实变形。模拟后的(虚拟间隔器)在前列腺和直肠壁之间产生了与注射后相同的间隔,与注射后的间隔器相同。前列腺和直肠的平均 DSC 分别为 0.87 和 0.74。此外,直肠轮廓相似系数有显著增加(P<0.01)。NND 直方图显示了相同的整体形状,并且对于模拟后和注射后,值的分布从较低到较高有明显的偏移,这表明前列腺和直肠之间的距离增加了。平均而言,模拟后和注射后,NND 的均值和第五百分位数之间的差异小于 2.2 和 2.1 毫米。OVH 距离与相应预测直肠剂量之间的差异平均小于 1 毫米和 1.5 Gy。
FEMOSSA 提供了水凝胶注射过程的真实模拟,这可以促进间隔器放置计划,并降低相关的不确定性。因此,它提高了间隔器放置程序的稳健性和成功率,从而提高了前列腺癌 RT 的质量。