Zhou Christina, Bennion Nathan, Ma Rongtao, Liang Xiaoying, Wang Shuo, Zvolanek Kristina, Hyun Megan, Li Xiaobo, Zhou Sumin, Zhen Weining, Lin Chi, Wahl Andrew, Zheng Dandan
School of Biological Sciences, University of Chicago, Chicago, IL, USA.
Department of Radiation Oncology, University of Nebraska Medical Center, 42nd and Emile St, Omaha, NE, 68198, USA.
Radiat Oncol. 2017 May 5;12(1):80. doi: 10.1186/s13014-017-0816-x.
Type-C dose algorithms provide more accurate dosimetry for lung SBRT treatment planning. However, because current dosimetric protocols were developed based on conventional algorithms, its applicability for the new generation algorithms needs to be determined. Previous studies on this issue used small sample sizes and reached discordant conclusions. Our study assessed dose calculation of a Type-C algorithm with current dosimetric protocols in a large patient cohort, in order to demonstrate the dosimetric impacts and necessary treatment planning steps of switching from a Type-B to a Type-C dose algorithm for lung SBRT planning.
Fifty-two lung SBRT patients were included, each planned using coplanar VMAT arcs, normalized to D = prescription dose using a Type-B algorithm. These were compared against three Type-C plans: re-calculated plans (identical plan parameters), re-normalized plans (D = prescription dose), and re-optimized plans. Dosimetric endpoints were extracted and compared among the four plans, including RTOG dosimetric criteria: (R, R, D, V, and lung V), PTV D, D D V and D, PTV coverage (V), homogeneity index (HI), and Paddick conformity index (PCI).
Re-calculated Type-C plans resulted in decreased PTV D with a mean difference of 5.2% and increased D with a mean difference of 3.1%, similar or improved RTOG dose compliance, but compromised PTV coverage (mean D and V reduction of 2.5 and 8.1%, respectively). Seven plans had >5% D reduction (maximum reduction = 16.7%), and 18 plans had >5% V reduction (maximum reduction = 60.0%). Re-normalized Type-C plans restored target coverage, but yielded degraded plan conformity (average PCI reduction 4.0%), and RTOG dosimetric criteria deviation worsened in 11 plans, in R, D, and R. Except for one case, re-optimized Type-C plans restored RTOG compliance achieved by the original Type-B plans, resulting in similar dosimetric values but slightly higher target dose heterogeneity (mean HI increase = 13.2%).
Type-B SBRT lung plans considerably overestimate target coverage for some patients, necessitating Type-C re-normalization or re-optimization. Current RTOG dosimetric criteria appear to remain appropriate.
C型剂量算法为肺部立体定向体部放疗(SBRT)治疗计划提供了更精确的剂量测定。然而,由于当前的剂量测定方案是基于传统算法制定的,其对新一代算法的适用性需要确定。此前关于这个问题的研究样本量较小且得出了不一致的结论。我们的研究在一大群患者中评估了C型算法与当前剂量测定方案的剂量计算,以证明从B型剂量算法转换为C型剂量算法对肺部SBRT计划的剂量测定影响和必要的治疗计划步骤。
纳入了52例肺部SBRT患者,每例均使用共面容积调强弧形放疗(VMAT)弧进行计划,使用B型算法将其归一化至D = 处方剂量。将这些与三个C型计划进行比较:重新计算的计划(相同的计划参数)、重新归一化的计划(D = 处方剂量)和重新优化的计划。提取四个计划的剂量测定终点并进行比较,包括美国放射肿瘤学会(RTOG)剂量测定标准:(R、R、D、V和肺V)、计划靶体积(PTV)D、D D V和D、PTV覆盖率(V)、均匀性指数(HI)和帕迪克适形指数(PCI)。
重新计算的C型计划导致PTV D降低,平均差异为5.2%,D增加,平均差异为3.1%,RTOG剂量符合度相似或有所改善,但PTV覆盖率受损(平均D和V分别降低2.5%和8.1%)。7个计划的D降低>5%(最大降低 = 16.7%),18个计划的V降低>5%(最大降低 = 60.0%)。重新归一化的C型计划恢复了靶区覆盖,但计划适形性下降(平均PCI降低4.0%),11个计划的RTOG剂量测定标准偏差在R、D和R方面恶化。除1例情况外,重新优化的C型计划恢复了原始B型计划实现的RTOG符合度,导致剂量测定值相似,但靶区剂量异质性略高(平均HI增加 = 13.2%)。
B型肺部SBRT计划对一些患者的靶区覆盖有显著高估,需要进行C型重新归一化或重新优化。当前的RTOG剂量测定标准似乎仍然适用。