Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Department of Radiation Oncology, University of Miami, Miami, Florida, USA.
Med Phys. 2022 Apr;49(4):2794-2819. doi: 10.1002/mp.15130. Epub 2021 Aug 10.
Magnetic resonance imaging (MRI) plays an important role in the modern radiation therapy (RT) workflow. In comparison with computed tomography (CT) imaging, which is the dominant imaging modality in RT, MRI possesses excellent soft-tissue contrast for radiographic evaluation. Based on quantitative models, MRI can be used to assess tissue functional and physiological information. With the developments of scanner design, acquisition strategy, advanced data analysis, and modeling, multiparametric MRI (mpMRI), a combination of morphologic and functional imaging modalities, has been increasingly adopted for disease detection, localization, and characterization. Integration of mpMRI techniques into RT enriches the opportunities to individualize RT. In particular, RT response assessment using mpMRI allows for accurate characterization of both tissue anatomical and biochemical changes to support decision-making in monotherapy of radiation treatment and/or systematic cancer management. In recent years, accumulating evidence have, indeed, demonstrated the potentials of mpMRI in RT response assessment regarding patient stratification, trial benchmarking, early treatment intervention, and outcome modeling. Clinical application of mpMRI for treatment response assessment in routine radiation oncology workflow, however, is more complex than implementing an additional imaging protocol; mpMRI requires additional focus on optimal study design, practice standardization, and unified statistical reporting strategy to realize its full potential in the context of RT. In this article, the mpMRI theories, including image mechanism, protocol design, and data analysis, will be reviewed with a focus on the radiation oncology field. Representative works will be discussed to demonstrate how mpMRI can be used for RT response assessment. Additionally, issues and limits of current works, as well as challenges and potential future research directions, will also be discussed.
磁共振成像(MRI)在现代放射治疗(RT)工作流程中发挥着重要作用。与在 RT 中占主导地位的计算机断层扫描(CT)成像相比,MRI 具有出色的软组织对比度,可用于放射性评估。基于定量模型,MRI 可用于评估组织的功能和生理信息。随着扫描仪设计、采集策略、高级数据分析和建模的发展,多参数 MRI(mpMRI),即形态学和功能成像方式的结合,已越来越多地用于疾病检测、定位和特征描述。将 mpMRI 技术整合到 RT 中丰富了个体化 RT 的机会。特别是,使用 mpMRI 进行 RT 反应评估可以准确描述组织的解剖和生化变化,为放射治疗的单一疗法和/或系统癌症管理的决策提供支持。近年来,越来越多的证据确实表明,mpMRI 在 RT 反应评估中具有潜力,可用于患者分层、试验基准测试、早期治疗干预和结果建模。然而,mpMRI 在常规放射肿瘤学工作流程中的治疗反应评估中的临床应用比实施额外的成像方案更为复杂;mpMRI 需要额外关注最佳研究设计、实践标准化和统一的统计报告策略,以在 RT 背景下充分发挥其潜力。本文将重点介绍放射肿瘤学领域的 mpMRI 理论,包括图像机制、方案设计和数据分析。将讨论代表性作品,以展示 mpMRI 如何用于 RT 反应评估。此外,还将讨论当前工作的问题和局限性以及挑战和潜在的未来研究方向。