Suppr超能文献

全盆腔及局部前列腺适形调强放射治疗的高级优化方法

Advanced optimization methods for whole pelvic and local prostate external beam therapy.

作者信息

Buschmann Martin, Seppenwoolde Yvette, Wiezorek Tilo, Weibert Kirsten, Georg Dietmar

机构信息

Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Vienna, Austria; Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria.

Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Vienna, Austria; Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria.

出版信息

Phys Med. 2016 Mar;32(3):465-73. doi: 10.1016/j.ejmp.2016.03.002. Epub 2016 Apr 3.

Abstract

PURPOSE

Radiation treatment planning inherently involves multiple conflicting planning goals, which makes it a suitable application for multicriteria optimization (MCO). This study investigates a MCO algorithm for VMAT planning (VMAT-MCO) for prostate cancer treatments including pelvic lymph nodes and uses standard inverse VMAT optimization (sVMAT) and Tomotherapy planning as benchmarks.

METHODS

For each of ten prostate cancer patients, a two stage plan was generated, consisting of a stage 1 plan delivering 22Gy to the prostate, and a stage 2 plan delivering 50.4Gy to the lymph nodes and 56Gy to the prostate with a simultaneous integrated boost. The single plans were generated by three planning techniques (VMAT-MCO, sVMAT, Tomotherapy) and subsequently compared with respect to plan quality and planning time efficiency.

RESULTS

Plan quality was similar for all techniques, but sVMAT showed slightly better rectum (on average Dmean -7%) and bowel sparing (Dmean -17%) compared to VMAT-MCO in the whole pelvic treatments. Tomotherapy plans exhibited higher bladder dose (Dmean +42%) in stage 1 and lower rectum dose (Dmean -6%) in stage 2 than VMAT-MCO. Compared to manual planning, the planning time with MCO was reduced up to 12 and 38min for stage 1 and 2 plans, respectively.

CONCLUSION

MCO can generate highly conformal prostate VMAT plans with minimal workload in the settings of prostate-only treatments and prostate plus lymph nodes irradiation. In the whole pelvic plan manual VMAT optimization led to slightly improved OAR sparing over VMAT-MCO, whereas for the primary prostate treatment plan quality was equal.

摘要

目的

放射治疗计划本质上涉及多个相互冲突的计划目标,这使其成为多标准优化(MCO)的合适应用。本研究调查了一种用于前列腺癌治疗(包括盆腔淋巴结)的容积调强弧形治疗(VMAT)计划的MCO算法(VMAT-MCO),并将标准逆向VMAT优化(sVMAT)和螺旋断层放射治疗计划作为基准。

方法

对于十名前列腺癌患者中的每一位,生成了一个两阶段计划,包括一个向前列腺输送22Gy的1期计划,以及一个向淋巴结输送50.4Gy并同时对前列腺进行同步推量照射56Gy的2期计划。通过三种计划技术(VMAT-MCO、sVMAT、螺旋断层放射治疗)生成单个计划,随后在计划质量和计划时间效率方面进行比较。

结果

所有技术的计划质量相似,但在全盆腔治疗中,与VMAT-MCO相比,sVMAT在直肠保护(平均Dmean -7%)和肠道保护(Dmean -17%)方面表现略好。螺旋断层放射治疗计划在1期显示出更高的膀胱剂量(Dmean +42%),在2期显示出比VMAT-MCO更低的直肠剂量(Dmean -6%)。与手动计划相比,MCO的计划时间在1期和2期计划中分别减少了多达12分钟和38分钟。

结论

在仅前列腺治疗和前列腺加淋巴结照射的情况下,MCO可以以最小的工作量生成高度适形的前列腺VMAT计划。在全盆腔计划中,手动VMAT优化在危及器官保护方面比VMAT-MCO略有改善,而对于原发性前列腺治疗计划质量相当。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验