Department of Radiology, The Christie Hospital NHS Trust, Manchester, UK.
Division of Cancer Sciences, University of Manchester, Manchester, UK.
Clin Oncol (R Coll Radiol). 2018 Nov;30(11):702-710. doi: 10.1016/j.clon.2018.08.005. Epub 2018 Sep 14.
Magnetic resonance imaging (MRI) is a highly versatile imaging modality that can be used to measure features of the tumour microenvironment including cell death, proliferation, metabolism, angiogenesis, and hypoxia. Mapping and quantifying these pathophysiological features has the potential to alter the use of adaptive radiotherapy planning. Although these methods are available for use on diagnostic machines, several challenges exist for implementing these functional MRI methods on the MRI-linear accelerators (linacs). This review considers these challenges and potential solutions.
磁共振成像(MRI)是一种功能强大的成像方式,可用于测量肿瘤微环境的特征,包括细胞死亡、增殖、代谢、血管生成和缺氧。绘制和量化这些病理生理特征有可能改变适应性放疗计划的使用。尽管这些方法可在诊断设备上使用,但在 MRI 线性加速器(linacs)上实施这些功能 MRI 方法存在一些挑战。本综述考虑了这些挑战和潜在的解决方案。