Phys Med Biol. 2013 Nov 21;58(22):8163-77. doi: 10.1088/0031-9155/58/22/8163.
Non-coplanar radiation beams are often used in three-dimensional conformal and intensity modulated radiotherapy to reduce dose to organs at risk (OAR) by geometric avoidance. In volumetric modulated arc radiotherapy (VMAT) non-coplanar geometries are generally achieved by applying patient couch rotations to single or multiple full or partial arcs. This paper presents a trajectory optimization method for a non-coplanar technique, dynamic couch rotation during VMAT (DCR–VMAT), which combines ray tracing with a graph search algorithm. Four clinical test cases (partial breast, brain, prostate only, and prostate and pelvic nodes) were used to evaluate the potential OAR sparing for trajectory-optimized DCR–VMAT plans, compared with standard coplanar VMAT. In each case, ray tracing was performed and a cost map reflecting the number of OAR voxels intersected for each potential source position was generated. The least-cost path through the cost map, corresponding to an optimal DCR–VMAT trajectory, was determined using Dijkstra's algorithm. Results show that trajectory optimization can reduce dose to specified OARs for plans otherwise comparable to conventional coplanar VMAT techniques. For the partial breast case, the mean heart dose was reduced by 53%. In the brain case, the maximum lens doses were reduced by 61% (left) and 77% (right) and the globes by 37% (left) and 40% (right). Bowel mean dose was reduced by 15% in the prostate only case. For the prostate and pelvic nodes case, the bowel V50 Gy and V60 Gy were reduced by 9% and 45% respectively. Future work will involve further development of the algorithm and assessment of its performance over a larger number of cases in site-specific cohorts.
非共面射束常用于三维适形和强度调制放疗中,通过几何回避来降低危及器官 (OAR) 的剂量。在容积调强弧形放疗 (VMAT) 中,非共面几何形状通常通过对单个或多个全弧或半弧应用患者床旋转来实现。本文提出了一种非共面技术的轨迹优化方法,即 VMAT 期间的动态床旋转 (DCR-VMAT),它将光线追踪与图搜索算法相结合。使用四个临床测试案例(部分乳房、脑部、仅前列腺和前列腺及盆腔淋巴结)来评估轨迹优化的 DCR-VMAT 计划相对于标准共面 VMAT 的潜在 OAR 保护效果。在每种情况下,都进行了光线追踪,并生成了反映每个潜在源位置与 OAR 体素相交数量的成本图。使用 Dijkstra 算法确定穿过成本图的最小成本路径,对应于最佳的 DCR-VMAT 轨迹。结果表明,对于与传统共面 VMAT 技术相当的计划,轨迹优化可以降低指定 OAR 的剂量。对于部分乳房病例,心脏平均剂量降低了 53%。在脑部病例中,左、右眼晶状体最大剂量分别降低了 61%和 77%,眼球分别降低了 37%和 40%。仅前列腺病例中,肠道平均剂量降低了 15%。对于前列腺和盆腔淋巴结病例,肠道 V50Gy 和 V60Gy 分别降低了 9%和 45%。未来的工作将涉及进一步开发该算法,并在特定部位队列中评估其在更多病例中的性能。