Lim-Reinders Stephanie, Keller Brian M, Al-Ward Shahad, Sahgal Arjun, Kim Anthony
Sunnybrook Health Sciences Centre/Odette Cancer Centre, Toronto, Ontario, Canada.
Sunnybrook Health Sciences Centre/Odette Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Int J Radiat Oncol Biol Phys. 2017 Nov 15;99(4):994-1003. doi: 10.1016/j.ijrobp.2017.04.023. Epub 2017 Apr 24.
The current paradigm of radiation therapy has the treatment planned on a snapshot dataset of the patient's anatomy taken at the time of simulation. Throughout the course of treatment, this snapshot may vary from initial simulation. Although there is the ability to image patients within the treatment room with technologies such as cone beam computed tomography, the current state of the art is largely limited to rigid-body matching and not accounting for any geometric deformations in the patient's anatomy. A plan that was once attuned to the initial simulation can become suboptimal as the treatment progresses unless improved technologies are brought to bear. Adaptive radiation therapy (ART) is an evolving paradigm that seeks to address this deficiency by accounting for ongoing changes in the patient's anatomy and/or physiology during the course of treatment, affording an increasingly more accurate targeting of disease. ART relies on several components working in concert, namely in-room treatment image guidance, deformable image registration, automatic recontouring, plan evaluation and reoptimization, dose calculation, and quality assurance. Various studies have explored how a putative ART solution would improve the current state of the art of radiation therapy-some centers have even clinically implemented online adaptation. These explorations are reviewed here for a variety of sites.
当前的放射治疗模式是根据模拟时获取的患者解剖结构的快照数据集来制定治疗计划。在整个治疗过程中,这个快照可能会与初始模拟时有所不同。尽管可以使用锥形束计算机断层扫描等技术在治疗室内对患者进行成像,但目前的技术水平在很大程度上仅限于刚体匹配,并未考虑患者解剖结构中的任何几何变形。除非采用改进的技术,否则随着治疗的推进,一个曾经与初始模拟相匹配的计划可能会变得不再理想。自适应放射治疗(ART)是一种不断发展的模式,旨在通过考虑治疗过程中患者解剖结构和/或生理状态的持续变化来解决这一缺陷,从而实现对疾病越来越精确的靶向治疗。ART依赖于几个协同工作的组件,即治疗室内的图像引导、可变形图像配准、自动重新轮廓化、计划评估与重新优化、剂量计算以及质量保证。各种研究探讨了一种假定的ART解决方案将如何改善当前放射治疗的技术水平——一些中心甚至已经在临床上实施了在线自适应。本文针对各种部位对这些探索进行了综述。