| Chapter title |
Assessment of Renal Hemodynamics and Oxygenation by Simultaneous Magnetic Resonance Imaging (MRI) and Quantitative Invasive Physiological Measurements.
|
|---|---|
| Chapter number | 11 |
| Book title |
Kidney Research
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3353-2_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3351-8, 978-1-4939-3353-2
|
| Authors |
Cantow, Kathleen, Arakelyan, Karen, Seeliger, Erdmann, Niendorf, Thoralf, Pohlmann, Andreas, Kathleen Cantow, Karen Arakelyan, Erdmann Seeliger, Thoralf Niendorf, Andreas Pohlmann |
| Abstract |
In vivo assessment of renal perfusion and oxygenation under (patho)physiological conditions by means of noninvasive diagnostic imaging is conceptually appealing. Blood oxygen level-dependent (BOLD) magnetic resonance imaging (MRI) and quantitative parametric mapping of the magnetic resonance (MR) relaxation times T 2* and T 2 are thought to provide surrogates of renal tissue oxygenation. The validity and efficacy of this technique for quantitative characterization of local tissue oxygenation and its changes under different functional conditions have not been systematically examined yet and remain to be established. For this purpose, the development of an integrative multimodality approaches is essential. Here we describe an integrated hybrid approach (MR-PHYSIOL) that combines established quantitative physiological measurements with T 2* (T 2) mapping and MR-based kidney size measurements. Standardized reversible (patho)physiologically relevant interventions, such as brief periods of aortic occlusion, hypoxia, and hyperoxia, are used for detailing the relation between the MR-PHYSIOL parameters, in particular between renal T 2* and tissue oxygenation. |
X Demographics
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| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Master | 3 | 38% |
| Other | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 50% |
| Physics and Astronomy | 3 | 38% |
| Agricultural and Biological Sciences | 1 | 13% |