MacDonald R Lee, Robar James L, Thomas Christopher G
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, B3H 4R2, Canada.
Department of Medical Physics, Nova Scotia Health Authority, Halifax, NS, B3H 1V7, Canada.
Med Phys. 2017 Jan;44(1):17-27. doi: 10.1002/mp.12008. Epub 2017 Jan 3.
To investigate potential dosimetric improvements through the optimization of fixed-couch rotational position in cranial cancer stereotactic treatments.
Using previously delivered cranial stereotactic radiotherapy plans treated at the Nova Scotia Health Authority (NSHA), we have redesigned the treatment arrangement to find the optimal couch rotation positions based on the reduction of overlap between organs-at-risk of exposure (OARs) and target volume (PTV). Maintaining the gantry arrangements from the delivered treatment, the couch positions were determined based on a cost function analysis of accumulation of overlap score from an equation developed by Yang et al. and refined by MacDonald et al. The algorithm incorporates factors for radiation dose sensitivities of each OAR, depth of both OARs and target (PTV) volumes, and orthogonality of the 3D vector between OAR and PTV in the case of proximal OAR position.
The plan evaluation was conducted on 16 acoustic neuroma patients treated with stereotactic radiotherapy plans at the NSHA. Maximum and mean doses to the OARs were reduced by approximately 14.30% ± 2.86% and 19.25% ± 2.10%, respectively, with application of this optimization technique as compared to the delivered treatment plans. In addition, PTV conformity and homogeneity were improved with application of this optimization technique.
This variation of the existing delivery techniques with guidance from a PTV-OAR overlap cost function analysis technique can yield significant dosimetric improvements with no increase to delivery or planning time.
通过优化颅部癌症立体定向治疗中固定治疗床的旋转位置,研究潜在的剂量学改善效果。
利用新斯科舍省卫生局(NSHA)之前实施的颅部立体定向放射治疗计划,我们重新设计了治疗方案,根据减少危及器官(OARs)与计划靶体积(PTV)之间的重叠来确定最佳治疗床旋转位置。保持已实施治疗的机架设置不变,基于对Yang等人开发并经MacDonald等人改进的方程得出的重叠分数累积进行成本函数分析来确定治疗床位置。该算法纳入了每个OAR的辐射剂量敏感性、OAR和靶区(PTV)体积的深度,以及近端OAR位置情况下OAR与PTV之间三维向量的正交性等因素。
对NSHA采用立体定向放射治疗计划治疗的16例听神经瘤患者进行了计划评估。与已实施的治疗计划相比,应用该优化技术后,OAR的最大剂量和平均剂量分别降低了约14.30%±2.86%和19.25%±2.10%。此外,应用该优化技术后,PTV的适形性和均匀性得到了改善。
在PTV - OAR重叠成本函数分析技术的指导下,对现有治疗技术进行这种改进,可以在不增加治疗或计划时间的情况下,显著改善剂量学效果。