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.

通过发明和临床实施MRI-LINACS，可以实现MRI引导的适应性放射疗法，对分级放射疗法之前和期间的定量组织特征进行顺序评估，以及未来的个性化的，自适应的放射疗法，根据预后的定量参数，似乎有可能。在实施和测试了用于表征头部和颈部肿瘤的最重要MRI方法之后，在临床研究中包括30多名患者，以比较从1.5 T MRI-LINAC记录的MRI图像数据集中获得的信息，并在第一个项目阶段进行现代3 t高档MRI，该项目的主要目标是以下：其他方法是宽松的数据，并取得了宽松的数据，并取得了范围的范围，并取得了差异，并取得了范围的范围。灌注在最近的动物研究出版物中被描述为治疗结果的相关参数。可以进一步计划继续使用大约30名头颈癌患者开始研究，以建立更好的统计可靠性和开发放疗预测模型的有效基础。此外，前瞻性收集的患者数据将用于外部验证上一个项目阶段获得的结果。除了在开始治疗前评估的组织特征的初始值外，放射治疗过程中定量标记的变化也将与结果确定并相关。这些更改还将用于告知和制定放射治疗过程中剂量分布功能适应的策略，以实现更好的响应率。有希望的定量成像生物标志物以及不同的技术概念以实现反应自适应MRI引导的放射疗法的候选者将在回顾性使用代表性的患者同类群的回顾性内科计划研究中进行测试。