FitzGerald T J, Urie Marcia, Ulin Kenneth, Laurie Fran, Yorty Jeffrey, Hanusik Richard, Kessel Sandy, Jodoin Maryann Bishop, Osagie Gani, Cicchetti M Giulia, Pieters Richard, McCarten Kathleen, Rosen Nancy
Quality Assurance Review Center, Providence, RI, USA.
Int J Radiat Oncol Biol Phys. 2008;71(1 Suppl):S76-9. doi: 10.1016/j.ijrobp.2007.07.2387.
Quality assurance in radiotherapy (RT) has been an integral aspect of cooperative group clinical trials since 1970. In early clinical trials, data acquisition was nonuniform and inconsistent and computational models for radiation dose calculation varied significantly. Process improvements developed for data acquisition, credentialing, and data management have provided the necessary infrastructure for uniform data. With continued improvement in the technology and delivery of RT, evaluation processes for target definition, RT planning, and execution undergo constant review. As we move to multimodality image-based definitions of target volumes for protocols, future clinical trials will require near real-time image analysis and feedback to field investigators. The ability of quality assurance centers to meet these real-time challenges with robust electronic interaction platforms for imaging acquisition, review, archiving, and quantitative review of volumetric RT plans will be the primary challenge for future successful clinical trials.
自1970年以来,放射治疗(RT)的质量保证一直是合作组临床试验的一个组成部分。在早期的临床试验中,数据采集不统一且不一致,辐射剂量计算的计算模型差异很大。为数据采集、资质认证和数据管理所开发的流程改进为统一数据提供了必要的基础设施。随着RT技术和治疗的不断改进,靶区定义、RT计划和执行的评估流程也在不断接受审查。随着我们转向基于多模态图像的方案靶区体积定义,未来的临床试验将需要近乎实时的图像分析并向现场研究人员提供反馈。质量保证中心利用强大的电子交互平台进行成像采集、审查、存档和对容积RT计划进行定量审查以应对这些实时挑战的能力,将是未来成功开展临床试验的主要挑战。