Division of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University of Freiburg, Germany.
German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center, Heidelberg, Germany.
Med Phys. 2019 Jul;46(7):2955-2968. doi: 10.1002/mp.13564. Epub 2019 Jun 5.
The purpose of this study is to investigate the role of the centroidal Voronoi tessellation (CVT) and constrained CVT (CCVT) in inverse planning in combination with the Hybrid Inverse Planning Optimization (HIPO) algorithm in HDR brachytherapy of prostate cancer. HIPO implemented in Oncentra© Prostate treatment planning system, is used for three-dimensional (3D)-ultrasound-based intraoperative treatment planning in high dose rate brachytherapy. HIPO utilizes a hybrid iterative process to determine the most appropriate placement of a given number of catheters to fulfil predefined dose-volume constraints. The main goals of the current investigation were to identify a way of improving the performance of HIPO inverse planning; accelerating the HIPO, and to evaluate the effect of the two CVT-based initialization methods on the dose distribution in the sub-region of prostate that is not accessible by catheters, when trying to avoid perforation of urethra.
We implemented the CVT algorithm to generate initial catheter configurations before the initialization of the HIPO algorithm. We introduced the CCVT algorithm to improve the dose distribution to the sub-volume of prostate within the bounding box of the urethra contours including its upper vertical extension (U-P). For the evaluation, we considered a total of 15 3D ultrasound-based HDRBT prostate implants. Execution time and treatment plan quality were evaluated based on the dose-volume histograms of prostate (PTV), its sub-volume U-P, and organs at risk (OARs). Furthermore, the conformity index COIN, the homogeneity index HI and the complication-free tumor control probability (P ) were used for our treatment plan comparisons. Finally, the plans with the recommended HIPO execution mode were compared to the clinically used intraoperative pre-plans.
The plan quality achieved with CCVT-based HIPO initialization was superior to the default HIPO initialization method. Focusing on the U-P sub-region of the prostate, the CCVT method resulted in a significant improvement of all dosimetric indices compared to the default HIPO, when both were executed in the adaptive mode. For that recommended HIPO execution mode, and for U-P, CCVT demonstrated in general higher dosimetric indices than CVT. Additionally, the execution time of CCVT initialized HIPO was lower compared to both alternative initialization methods. This is also valid for the values of the aggregate objective function with the differences to the default initialization method being highly significant. Paired non-parametric statistical tests (Wilcoxon signed-rank) showed a significant improvement of dose-volume indices, COIN and P for the plans generated by the CCVT-based catheter configuration initialization in HIPO compared to the default HIPO initialization process. Furthermore, in ten out of 15 cases, the CCVT-based HIPO plans fulfilled all the clinical dose-volume constraints in a single trial without any need for further catheter position adaption.
HIPO with CCVT-based initialization demonstrates better performance regarding the aggregate objective function and convergence when compared to the CVT-based and default catheter configuration initialization methods. This improved performance of HIPO inverse planning is clearly not at the cost of the dosimetric and radiobiologically evaluated plan quality. We recommend the use of the CCVT method for HIPO initialization especially in the adaptive planning mode.
本研究旨在探讨质心 Voronoi 细分(CVT)和约束 CVT(CCVT)在与 Hybrid Inverse Planning Optimization(HIPO)算法相结合的逆向计划中的作用,用于前列腺癌 HDR 近距离放射治疗。HIPO 实施于 Oncentra©前列腺治疗计划系统中,用于基于 3D 超声的术中高剂量率近距离放射治疗计划。HIPO 利用混合迭代过程来确定给定数量的导管的最佳放置位置,以满足预定的剂量-体积限制。当前研究的主要目标是确定一种改进 HIPO 逆向计划性能的方法;加速 HIPO,并评估两种基于 CVT 的初始化方法对试图避免尿道穿孔时无法通过导管到达的前列腺亚区的剂量分布的影响。
我们在 HIPO 算法初始化之前实现了 CVT 算法来生成初始导管配置。我们引入了 CCVT 算法来改善包括尿道轮廓上垂直延伸(U-P)在内的尿道轮廓的前列腺子体积(PTV)内的剂量分布。对于评估,我们考虑了总共 15 个基于 3D 超声的 HDRBT 前列腺植入物。基于前列腺(PTV)、其子体积 U-P 和危及器官(OAR)的剂量-体积直方图,评估执行时间和治疗计划质量。此外,还使用适形指数 COIN、均匀性指数 HI 和无并发症肿瘤控制概率(P)进行治疗计划比较。最后,将推荐的 HIPO 执行模式与临床使用的术中预计划进行比较。
基于 CCVT 的 HIPO 初始化生成的计划质量优于默认 HIPO 初始化方法。专注于前列腺的 U-P 亚区,当两者都在自适应模式下执行时,CCVT 方法与默认 HIPO 相比,所有剂量学指标均得到显著改善。对于推荐的 HIPO 执行模式,对于 U-P,CCVT 通常比 CVT 具有更高的剂量学指标。此外,CCVT 初始化的 HIPO 的执行时间低于两种替代初始化方法。对于与默认初始化方法的差异具有高度显著性的聚合目标函数值也是如此。非参数配对检验(Wilcoxon 符号秩检验)表明,与默认 HIPO 初始化过程相比,基于 CCVT 的导管配置初始化的 HIPO 生成的计划在剂量-体积指标、COIN 和 P 方面有显著改善。此外,在 15 例中有 10 例,基于 CCVT 的 HIPO 计划在单次试验中满足了所有临床剂量-体积限制,无需进一步调整导管位置。
与基于 CVT 和默认导管配置初始化方法相比,基于 CCVT 的 HIPO 初始化在总目标函数和收敛性方面表现出更好的性能。HIPO 逆向计划的这种改进性能显然不是以剂量学和放射生物学评估的计划质量为代价的。我们建议在自适应计划模式下特别使用 CCVT 方法进行 HIPO 初始化。