Milder Maaike T W, Magallon-Baro Alba, den Toom Wilhelm, de Klerck Erik, Luthart Lorne, Nuyttens Joost J, Hoogeman Mischa S
Erasmus MC, University Medical Center Rotterdam, Department of Radiotherapy, The Netherlands.
Phys Imaging Radiat Oncol. 2022 Jul 28;23:103-108. doi: 10.1016/j.phro.2022.07.005. eCollection 2022 Jul.
Stereotactic body radiotherapy (SBRT) has been proven to be beneficial for several disease sites in the (lower) abdomen. However, the quality of the treatment plan, based on a single planning computed tomography (CT), can be compromised due to large inter-fraction motion of the target and organs at risk (OARs) in this anatomical region. The aim of this study was to investigate the feasibility of online adaptive SBRT treatments on a robotic radiosurgery system and to record estimated total treatment times.
For two disease sites, locally advanced pancreatic cancer (LAPC) and oligometastatic lymph nodes, four patients with repeat CTs were included in the feasibility study. Quick treatment plan templates were generated based on the planning CT and validated by running them on the plan and fraction CTs. For two cases a dummy run was performed and the individual steps were timed. Dose delivery was the largest contributor to the total treatment time, followed by contour adaptation.
Running the quick plan templates resulted in plans similar to unrestricted plans, obeying the OAR constraints. The dummy runs showed that online adaptive treatments were completed in 64 to 83 min respectively for oligometastases and LAPC, comparable to other clinically available solutions.
This study showed the feasibility of online re-planning for two challenging disease sites within a clinically acceptable time frame on a robotic radiosurgery system, making use of commercially available elements that are not integrated by the vendor.
立体定向体部放疗(SBRT)已被证明对下腹部的多个疾病部位有益。然而,基于单次计划计算机断层扫描(CT)的治疗计划质量可能会因该解剖区域内靶区和危及器官(OARs)的较大分次间运动而受到影响。本研究的目的是探讨在机器人放射外科系统上进行在线自适应SBRT治疗的可行性,并记录估计的总治疗时间。
对于两个疾病部位,即局部晚期胰腺癌(LAPC)和寡转移淋巴结,可行性研究纳入了4例有重复CT检查的患者。基于计划CT生成快速治疗计划模板,并通过在计划CT和分次CT上运行来验证。对2例患者进行了模拟运行,并对各个步骤进行了计时。剂量输送是总治疗时间的最大贡献因素,其次是轮廓适配。
运行快速计划模板得到的计划与无限制计划相似,符合OARs的限制。模拟运行表明,寡转移和LAPC的在线自适应治疗分别在64至83分钟内完成,与其他临床可用方案相当。
本研究表明,在机器人放射外科系统上,利用供应商未集成的商用组件,在临床可接受的时间范围内对两个具有挑战性的疾病部位进行在线重新计划是可行的。