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第一部分:动态轨迹放射治疗的优化与评估。

Part 1: Optimization and evaluation of dynamic trajectory radiotherapy.

作者信息

Fix Michael K, Frei Daniel, Volken Werner, Terribilini Dario, Mueller Silvan, Elicin Olgun, Hemmatazad Hossein, Aebersold Daniel M, Manser Peter

机构信息

Division of Medical Radiation Physics, Department of Radiation Oncology, Inselspital, Bern University Hospital, University of Bern, CH-3010, Bern, Switzerland.

出版信息

Med Phys. 2018 Jul 10. doi: 10.1002/mp.13086.

Abstract

PURPOSE

Although volumetric modulated arc therapy (VMAT) is a well-accepted treatment technique in radiotherapy using a coplanar delivery approach, VMAT might be further improved by including dynamic table and collimator rotations leading to dynamic trajectory radiotherapy (DTRT). In this work, an optimization procedure for DTRT was developed and the potential benefit of DTRT was investigated for different treatment sites.

METHODS

For this purpose, a dedicated optimization framework for DTRT was developed using the Eclipse Scripting Research Application Programming Interface (ESRAPI). The contours of the target and organs at risk (OARs) structures were exported by applying the ESRAPI and were used to determine the fractional volume-overlap of the OARs with the target from several potential beam directions. Thereby, an additional weighting was applied taking into account the relative position of the OAR with respect to the target and radiation beam, that is, penalizing directions where the OAR is proximal to the target. The resulting two-dimensional gantry-table map was used as input for an A* path finding algorithm returning an optimized gantry-table path. Thereby, the process is also taking into account CT scan length and collision restrictions. The A* algorithm was used again to determine the dynamic collimator angle path by optimizing the area between the MLC leaves and the target contour for each gantry-table path leading to gantry-collimator paths. The resulting gantry-table and gantry-collimator paths are combined and serve as input for the intensity modulation optimization using a research VMAT optimizer and the ESRAPI resulting in dynamic trajectories. This procedure was evaluated for five clinically motivated cases: two head and neck, one lung, one esophagus, and one prostate. Final dose calculations were performed using the Swiss Monte Carlo Plan (SMCP). Resulting dose distributions for the DTRT treatment plans and for the standard VMAT plans were compared based on dose distributions and dose volume histogram (DVH) parameters. For this comparison, the dose distribution for the VMAT plans were recalculated using the SMCP. In addition, the suitability of the delivery of a DTRT treatment plan was demonstrated by means of gafchromic film measurements on a TrueBeam linear accelerator.

RESULTS

DVHs for the target volumes showed similar or improved coverage and dose homogeneity for DTRT compared with VMAT using equal or less number of dynamic trajectories for DTRT than arcs for VMAT for all cases studied. Depending on the case, improvements in mean and maximum dose for the DTRT plans were achieved for almost all OARs compared with the VMAT plans. Improvements in DTRT treatment plans for mean and maximum dose compared to VMAT plans were up to 16% and 38% relative to the prescribed dose, respectively. The measured and calculated dose values resulted in a passing rate of more than 99.5% for the two-dimensional gamma analysis using 2% and 2 mm criteria and a threshold of 10%.

CONCLUSIONS

DTRT plans for different treatment sites were generated and compared with VMAT plans. The delivery is suitable and dose comparisons demonstrate a high potential of DTRT to reduce dose to OARs using less dynamic trajectories than arcs, while target coverage is preserved.

摘要

目的

尽管容积调强弧形放疗(VMAT)是放射治疗中一种广泛接受的共面治疗技术,但通过纳入动态治疗床和准直器旋转,即动态轨迹放疗(DTRT),VMAT可能会得到进一步改进。在本研究中,开发了一种DTRT的优化程序,并研究了DTRT在不同治疗部位的潜在益处。

方法

为此,使用Eclipse脚本研究应用程序编程接口(ESRAPI)开发了一个专门的DTRT优化框架。通过应用ESRAPI导出靶区和危及器官(OARs)结构的轮廓,并用于确定来自几个潜在射束方向的OARs与靶区的部分体积重叠。因此,考虑到OAR相对于靶区和辐射束的相对位置,应用了额外的权重,即对OAR靠近靶区的方向进行惩罚。所得的二维机架-治疗床图用作A路径查找算法的输入,该算法返回优化的机架-治疗床路径。因此,该过程还考虑了CT扫描长度和碰撞限制。再次使用A算法,通过优化每个机架-治疗床路径的多叶准直器(MLC)叶片与靶区轮廓之间的面积来确定动态准直器角度路径,从而得到机架-准直器路径。将所得的机架-治疗床和机架-准直器路径相结合,并用作使用研究型VMAT优化器和ESRAPI进行强度调制优化的输入,从而生成动态轨迹。对五个具有临床意义的病例进行了评估:两个头颈部病例、一个肺部病例、一个食管病例和一个前列腺病例。使用瑞士蒙特卡罗计划(SMCP)进行最终剂量计算。基于剂量分布和剂量体积直方图(DVH)参数,比较了DTRT治疗计划和标准VMAT计划的所得剂量分布。为了进行此比较,使用SMCP重新计算了VMAT计划的剂量分布。此外,通过在TrueBeam直线加速器上进行的变色薄膜测量,证明了DTRT治疗计划的可交付性。

结果

在所有研究病例中,与VMAT相比,DTRT的靶区体积DVH显示出相似或更好的覆盖范围和剂量均匀性,且DTRT使用的动态轨迹数量等于或少于VMAT的弧数。根据病例不同,与VMAT计划相比,几乎所有OARs的DTRT计划的平均剂量和最大剂量均有所改善。与VMAT计划相比,DTRT治疗计划的平均剂量和最大剂量的改善分别高达相对于处方剂量的16%和38%。使用±2%和2 mm标准以及10%的阈值进行二维伽马分析时,测量和计算的剂量值的通过率超过99.5%。

结论

生成了不同治疗部位的DTRT计划并与VMAT计划进行了比较。该交付方式是合适的,剂量比较表明DTRT具有很大潜力,可使用比弧更少的动态轨迹来降低对OARs的剂量,同时保持靶区覆盖。

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