Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176 USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199 USA.
Department of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176 USA.
Med Dosim. 2022;47(1):70-78. doi: 10.1016/j.meddos.2021.08.006. Epub 2021 Oct 23.
To compare stereotactic radiosurgery (SRS) plan quality metrics of manual forward planning (MFP) and Elekta Fast Inverse Planning™ (FIP)-based inversely optimized plans for patients treated with Gamma Knife®. Clinically treated, MFP SRS plans for 100 consecutive patients (115 lesions; 67 metastatic and 48 benign) were replanned with the FIP dose optimizer based on a convex linear programming formulation. Comparative plans were generated to match or exceed the following metrics in order of importance: Target Coverage (TC), Paddick Conformity Index (PCI), beam-on time (BOT), and Gradient Index (GI). Plan quality metrics and delivery parameters between MFP and FIP were compared for all lesions and stratified into subgroups for further analysis. Additionally, performance of FIP for multiple punctate (<4 mm) metastatic lesions on a subset of cases was investigated. A Wilcoxon signed-rank test for non-normal distributions was used to assess the statistical differences between the MFP and FIP treatment plans. Overall, 76% (87/115) of FIP plans showed a statistically significant improvement in plan quality compared to MFP plans. As compared to MFP, FIP plans demonstrated an increase in the median PCI by 1.1% (p<0.01), a decrease in GI by 3.7% (p< 0.01), and an increase in median number of shots by 74% (p< 0.01). TC and BOT were not statistically significantly different between MFP and FIP plans (p>0.05). FIP plans showed a statistically significant increase in use of 16 mm (p< 0.01) and blocked shots (p< 0.01), with a corresponding decrease in 4 mm shots (p< 0.01). Use of multiple shots per coordinate was significantly higher in FIP plans (p<0.01). The FIP optimizer failed to generate a clinically acceptable plan in 4/115 (3.5%) lesions despite optimization parameter changes. The mean optimization time for FIP plans was 5.0 min (Range: 1.0 - 10.0 min). In the setting of multiple punctate lesions, PCI for FIP was significantly improved (p<0.01) by changing the default low-dose/BOT penalty optimization setting from a default of 50/50 to 75-85/40. FIP offers a significant reduction in manual effort for SRS treatment planning while achieving comparable plan quality to an expert planner-substantially improving overall planning efficiency. FIP plans employ a non-intuitive increased use of blocked sectors and shot-in-shot technique to achieve high quality plans. Several FIP plans failed to achieve clinically acceptable treatments and warrant further investigation.
为了比较采用立体定向放射外科(SRS)的手动正向计划(MFP)和 Elekta 快速逆向计划™(FIP)的逆向优化计划的计划质量指标。对 100 例连续患者(115 个病灶;67 个转移性和 48 个良性)的临床治疗的 MFP SRS 计划进行了重新规划,这些计划是基于凸线性规划公式利用 FIP 剂量优化器进行规划的。生成了具有可比性或更优的计划,以按重要性顺序匹配或超过以下指标:靶区覆盖率(TC)、Paddick 适形指数(PCI)、射束开启时间(BOT)和梯度指数(GI)。比较了 MFP 和 FIP 之间的所有病变的计划质量指标和输送参数,并对进一步分析的亚组进行分层。此外,还对一部分病例的多个点状(<4 毫米)转移性病变的 FIP 性能进行了研究。对于非正态分布,使用 Wilcoxon 符号秩检验评估 MFP 和 FIP 治疗计划之间的统计学差异。总体而言,与 MFP 计划相比,76%(87/115)的 FIP 计划在计划质量方面具有统计学显著改善。与 MFP 相比,FIP 计划的中位 PCI 增加了 1.1%(p<0.01),GI 降低了 3.7%(p<0.01),中位射击次数增加了 74%(p<0.01)。MFP 和 FIP 计划之间的 TC 和 BOT 无统计学显著差异(p>0.05)。FIP 计划中 16mm (p<0.01)和屏蔽射束(p<0.01)的使用率显著增加,4mm 射束的使用率(p<0.01)相应降低。FIP 计划中每个坐标点的射击次数明显更高(p<0.01)。尽管优化参数发生了变化,但是在 4/115(3.5%)个病变中,FIP 优化器仍无法生成临床可接受的计划。FIP 计划的平均优化时间为 5.0 分钟(范围:1.0-10.0 分钟)。在多个点状病变的情况下,通过将默认的低剂量/BOT 惩罚优化设置从默认的 50/50 更改为 75-85/40,FIP 显著改善了 PCI(p<0.01)。FIP 为 SRS 治疗计划提供了显著的手动工作量减少,同时达到与专家计划相当的计划质量-大大提高了整体计划效率。FIP 计划采用非直观的增加使用屏蔽扇区和射束内射击技术来实现高质量的计划。一些 FIP 计划未能达到临床可接受的治疗效果,需要进一步研究。