Sequential quantitative MRI for functional characterization of head and neck cancer, outcome prediction and future biological individualization of MRI-guided radiotherapy

连续定量 MRI 用于头颈癌的功能表征、结果预测和 MRI 引导放射治疗的未来生物个体化

• 批准号: 531659392
• 负责人: Professor Dr. Konstantin Nikolaou
• 金额: --
• 依托单位: Radiologische Universitätsklinik (Department)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/531659392?language=en
• 关键词: Sequential; quantitative; MRI; functional; characterization

With the invention and clinical implementation of combined MRI-Linacs, enabling MRI-guided adaptive radiotherapy, sequential assessment of quantitative tissue characteristics before and during fractionated radiotherapy, as well as future individualised, adaptive radiotherapy according to prognostic quantitative parameters, seems possible. After implementation and testing the most important MRI methods for the characterisation of head and neck tumours and including more than 30 patients in the clinical study for comparing information obtained from MRI image data sets recorded on the 1.5 T MRI-Linac and a modern 3 T high-field MRI in the first project phase, the major aims of this project are now the following: In addition to relaxometric data and diffusion characteristics, further quantitative methods will be established, mainly dealing with blood perfusion, which were described in recent publications on animal studies as relevant parameters for treatment outcome. It is further planned to continue the already started study with about 30 additional head and neck cancer patients to establish a better statistical reliability and a valid basis for the development of prediction models for radiotherapy outcome. Furthermore, the prospectively collected patient data will be used for external validation of the results obtained in the previous project phase. In addition to the initial values of the tissue characteristics assessed before the start treatment, changes in the quantitative markers during the course of radiotherapy will also be determined and correlated with outcome. The changes will also be used to inform and develop strategies for functional adaptation of the dose distribution during the course of radiotherapy in order to achieve better response rates. Promising candidates for quantitative imaging biomarkers as well as different technical concepts to realise response-adaptive MRI–guided radiotherapy will be tested in a retrospective in-silico planning study using a representative patient cohort.

通过组合的MRI-直线加速器的发明和临床实施，使得MRI引导的自适应放射治疗、在分次放射治疗之前和期间的定量组织特征的顺序评估以及根据预后定量参数的未来个体化的自适应放射治疗似乎是可能的。在实施和测试了用于描述头颈部肿瘤特征的最重要MRI方法，并在临床研究中纳入了30多名患者，以比较在第一项目阶段中从1.5 T MRI-直线加速器和现代3 T高场MRI上记录的MRI图像数据集获得的信息后，该项目的主要目标如下：除了弛豫测量数据和扩散特性外，还将建立进一步的定量方法，主要处理血液灌注，在最近的动物研究出版物中将其描述为治疗结果的相关参数。还计划继续对另外约30名头颈癌患者进行已经开始的研究，以建立更好的统计可靠性和开发放射治疗结果预测模型的有效基础。此外，前瞻性收集的患者数据将用于对上一项目阶段获得的结果进行外部验证。除了开始治疗前评估的组织特征的初始值之外，还将确定放射治疗过程中定量标志物的变化并与结果相关联。这些变化还将用于为放射治疗过程中剂量分布的功能适应提供信息和制定策略，以实现更好的反应率。定量成像生物标志物的有前途的候选者以及实现反应自适应MRI引导放疗的不同技术概念将在使用代表性患者队列的回顾性计算机模拟计划研究中进行测试。