Wu Xingen, Brezovich Ivan A, Shen Sui, Covington Elizabeth, Stanley Dennis, Popple Richard
Radiation Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Radiation Oncology, University of Michigan, Ann Arbor, USA.
Cureus. 2022 Apr 6;14(4):e23893. doi: 10.7759/cureus.23893. eCollection 2022 Apr.
Purpose For patient comfort and safety, irradiation times should be kept at a minimum while maintaining high treatment quality. In this study of high dose rate (HDR) therapy with a vaginal cylinder, we used the butterfly optimization algorithm (BOA) to simultaneously optimize individual dwell times for precise dose conformity and for the reduction of total dwell time. Material and methods BOA is a population-based, meta-heuristic algorithm that averts local minima by conducting intensive local and global searching based on switching probability. We constructed an objective function (a stimulus intensity function) that consisted of two components. The first one was the root-mean-squared dose error (RMSE) defined as the square root of the sum of squared differences between the prescribed and delivered dose at the constraint points. The second component was weighted total treatment time. Eight previously treated cases were retrospectively reviewed by re-optimizing the clinical treatment plans with BOA. Results Compared to the eight original plans generated with the commercial adaptive volume optimization algorithm (AVOA), the BOA-optimized plans reduced treatment times by 5.4% to 8.9%, corresponding to a time-saving of 13.1 to 47.7 seconds with the activities on the treatment day and saving from 29.3 to 64.6 seconds if treated with an activity of 5 CI. Dose deviations from the prescription were smaller than in the original plans. Conclusion Dose optimizations based on the BOA algorithm yield closer dose conformity in vaginal HDR treatment than AVOA. Incorporating total treatment time into the optimization algorithm reduces the delivery time while having only a small effect on dose conformity.
目的 为了患者的舒适与安全,在保持高治疗质量的同时,应将照射时间保持在最短。在这项关于使用阴道施源器进行高剂量率(HDR)治疗的研究中,我们使用蝴蝶优化算法(BOA)同时优化个体驻留时间,以实现精确的剂量适形并减少总驻留时间。
材料与方法 BOA是一种基于群体的元启发式算法,通过基于切换概率进行密集的局部和全局搜索来避免局部最小值。我们构建了一个目标函数(刺激强度函数),它由两个部分组成。第一部分是均方根剂量误差(RMSE),定义为约束点处规定剂量与实际 delivered 剂量之差的平方和的平方根。第二部分是加权总治疗时间。通过使用BOA重新优化临床治疗计划,对8例先前治疗的病例进行了回顾性分析。
结果 与使用商业自适应体积优化算法(AVOA)生成的8个原始计划相比,BOA优化后的计划将治疗时间减少了5.4%至8.9%,在治疗当天的活动中相当于节省了13.1至47.7秒,如果以5居里的活动进行治疗,则节省了29.3至64.6秒。与处方的剂量偏差比原始计划更小。
结论 基于BOA算法的剂量优化在阴道HDR治疗中比AVOA产生更紧密的剂量适形。将总治疗时间纳入优化算法可减少递送时间,同时对剂量适形的影响很小。 (注:原文中“delivered dose”翻译为“实际 delivered 剂量”,这里“delivered”可能有更准确的医学术语表达,可根据实际情况调整)