Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany.
Institute for Systems and Robotics (LARSyS) and Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.
Methods Mol Biol. 2021;2216:591-610. doi: 10.1007/978-1-0716-0978-1_36.
Renal hypoxia is generally accepted as a key pathophysiologic event in acute kidney injury of various origins and has also been suggested to play a role in the development of chronic kidney disease. Here we describe step-by-step data analysis protocols for MRI monitoring of renal oxygenation in rodents via the deoxyhemoglobin concentration sensitive MR parameters T* and T-a contrast mechanism known as the blood oxygenation level dependent (BOLD) effect.This chapter describes how to use the analysis tools provided by vendors of animal and clinical MR systems, as well as how to develop an analysis software. Aspects covered are: data quality checks, data exclusion, model fitting, fitting algorithm, starting values, effects of multiecho imaging, and result validation.This chapter is based upon work from the PARENCHIMA COST Action, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This experimental protocol chapter is complemented by two separate chapters describing the basic concept and data analysis.
肾脏缺氧被普遍认为是各种来源的急性肾损伤的关键病理生理事件,并且也被认为在慢性肾脏病的发展中起作用。在这里,我们描述了通过脱氧血红蛋白浓度敏感的 MRI 参数 T*和 T-a 对比机制(称为血氧水平依赖(BOLD)效应)来监测啮齿动物肾脏氧合的 MRI 逐步数据分析方案。本章描述了如何使用动物和临床 MRI 系统供应商提供的分析工具,以及如何开发分析软件。涵盖的方面包括:数据质量检查、数据排除、模型拟合、拟合算法、起始值、多回波成像的影响以及结果验证。本章基于 PARENCHIMA COST 行动的工作,这是一个由欧洲合作科学技术(COST)计划资助的、由社区驱动的网络,旨在提高肾脏 MRI 生物标志物的可重复性和标准化。该实验方案章节由另外两个章节进行补充,分别描述了基本概念和数据分析。