Ebersberger, Louise; Kratzer, Fabian J; Potreck, Arne; Niesporek, Sebastian C; Keymling, Myriam; Nagel, Armin M; Bendszus, Martin; Wick, Wolfgang; Ladd, Mark E; Schlemmer, Heinz-Peter; Hoffmann, Angelika; Platt, Tanja; Paech, Daniel (2023). First application of dynamic oxygen-17 magnetic resonance imaging at 7 Tesla in a patient with early subacute stroke. Frontiers in neuroscience, 17(1186558), p. 1186558. Frontiers Research Foundation 10.3389/fnins.2023.1186558
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Dynamic oxygen-17 (17O) magnetic resonance imaging (MRI) is an imaging method that enables a direct and non-invasive assessment of cerebral oxygen metabolism and thus potentially the distinction between viable and non-viable tissue employing a three-phase inhalation experiment. The purpose of this investigation was the first application of dynamic 17O MRI at 7 Tesla (T) in a patient with stroke. In this proof-of-concept experiment, dynamic 17O MRI was applied during 17O inhalation in a patient with early subacute stroke. The analysis of the relative 17O water (H217O) signal for the affected stroke region compared to the healthy contralateral side revealed no significant difference. However, the technical feasibility of 17O MRI has been demonstrated paving the way for future investigations in neurovascular diseases.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology |
UniBE Contributor: |
Hoffmann, Angelika |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1662-4548 |
Publisher: |
Frontiers Research Foundation |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
06 Jul 2023 11:19 |
Last Modified: |
16 Jul 2023 02:27 |
Publisher DOI: |
10.3389/fnins.2023.1186558 |
PubMed ID: |
37404469 |
Uncontrolled Keywords: |
7 Tesla metabolic imaging oxygen metabolism oxygen-17 MRI stroke ultra-high field |
BORIS DOI: |
10.48350/184518 |
URI: |
https://boris.unibe.ch/id/eprint/184518 |
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