In vivo assessment of liver function, perfusion and fat distribution in the animal model by using MRI

使用 MRI 对动物模型中的肝功能、灌注和脂肪分布进行体内评估

• 批准号: 447245555
• 负责人: Professor Dr. Jürgen R. Reichenbach
• 金额: --
• 依托单位: AG Medizinische Physik
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/447245555?language=en
• 关键词: vivo; assessment; liver; function; perfusion

Within the overarching goal of the research unit QuaLiPerF to gain a data-integrated, multi-scale understanding of the interplay between hepatic perfusion and function and its recovery after extended hepatectomy (ePHx), this project is devoted to experimental MRI investigations in rats. It aims to establish a comprehensive MR imaging toolbox for small animal imaging at 9.4T and to provide spatially resolved, multi-parametric quantitative in vivo information on liver size, function, and perfusion under various experimental conditions. The toolbox will be applied to scan rats before and after portal vein ligation (PVL) and partial hepatectomy. Animals are monitored longitudinally during regeneration. In addition, the effects of a fat diet on the different MRI parameters, used to characterize the liver status, will also be investigated longitudinally. The acquired MRI data serve to monitor and analyze the physiological adaptations induced by the diet, after PVL and during regeneration of the remnant liver after ePHx. Together with complementary experimental and clinical data contributed by the other projects within the research unit, they form an important source of information for comparison with the temporal changes predicted by the mathematical models, which are also developed in the corresponding projects of the research unit. The data collected in this project will be passed on to be integrated into models on different scales based on statistical approaches. Upon completion of the first funding period of the research unit, a substantial body of experimental in vivo data will be available, which together with the iterative computational modeling and data integration will allow a better prediction of the recovery of liver function.

在QuaLiPerF研究单位的总体目标中，即对肝脏灌注和功能之间的相互作用及其在扩大肝切除术（ePHx）后的恢复进行数据集成、多尺度的了解，该项目致力于大鼠的实验性MRI研究。其目的是建立一个全面的MR成像工具箱，用于在9.4T下进行小动物成像，并在各种实验条件下提供有关肝脏大小、功能和灌注的空间分辨、多参数定量体内信息。该工具箱将应用于门静脉结扎（PVL）和部分肝切除术前后的大鼠扫描。在再生期间纵向监测动物。此外，还将纵向研究脂肪饮食对用于表征肝脏状态的不同MRI参数的影响。获得的MRI数据用于监测和分析PVL后和ePHx后残肝再生期间由饮食诱导的生理适应。与研究单位内其他项目提供的补充实验和临床数据一起，它们构成了与数学模型预测的时间变化进行比较的重要信息来源，这些模型也在研究单位的相应项目中开发。该项目收集的数据将被传递到基于统计方法的不同规模的模型中。在研究单位的第一个资助期完成后，将提供大量的体内实验数据，这些数据与迭代计算建模和数据集成一起，将能够更好地预测肝功能的恢复。