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Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging
Cerebrovascular diseases can impair blood circulation and oxygen extraction from the blood. The effective oxygen diffusivity (EOD) of the capillary bed is a potential biomarker of microvascular function that has gained increasing interest, both for clinical diagnosis and for elucidating oxygen trans...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795223/ https://www.ncbi.nlm.nih.gov/pubmed/34590895 http://dx.doi.org/10.1177/0271678X211048412 |
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author | Kufer, Jan Preibisch, Christine Epp, Samira Göttler, Jens Schmitzer, Lena Zimmer, Claus Hyder, Fahmeed Kaczmarz, Stephan |
author_facet | Kufer, Jan Preibisch, Christine Epp, Samira Göttler, Jens Schmitzer, Lena Zimmer, Claus Hyder, Fahmeed Kaczmarz, Stephan |
author_sort | Kufer, Jan |
collection | PubMed |
description | Cerebrovascular diseases can impair blood circulation and oxygen extraction from the blood. The effective oxygen diffusivity (EOD) of the capillary bed is a potential biomarker of microvascular function that has gained increasing interest, both for clinical diagnosis and for elucidating oxygen transport mechanisms. Models of capillary oxygen transport link EOD to measurable oxygen extraction fraction (OEF) and cerebral blood flow (CBF). In this work, we confirm that two well established mathematical models of oxygen transport yield nearly equivalent EOD maps. Furthermore, we propose an easy-to-implement and clinically applicable multiparametric magnetic resonance imaging (MRI) protocol for quantitative EOD mapping. Our approach is based on imaging OEF and CBF with multiparametric quantitative blood oxygenation level dependent (mq-BOLD) MRI and pseudo-continuous arterial spin labeling (pCASL), respectively. We evaluated the imaging protocol by comparing MRI-EOD maps of 12 young healthy volunteers to PET data from a published study in different individuals. Our results show comparably good correlation between MRI- and PET-derived cortical EOD, OEF and CBF. Importantly, absolute values of MRI and PET showed high accordance for all three parameters. In conclusion, our data indicates feasibility of the proposed MRI protocol for EOD mapping, rendering the method promising for future clinical evaluation of patients with cerebrovascular diseases. |
format | Online Article Text |
id | pubmed-8795223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87952232022-01-29 Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging Kufer, Jan Preibisch, Christine Epp, Samira Göttler, Jens Schmitzer, Lena Zimmer, Claus Hyder, Fahmeed Kaczmarz, Stephan J Cereb Blood Flow Metab Original Articles Cerebrovascular diseases can impair blood circulation and oxygen extraction from the blood. The effective oxygen diffusivity (EOD) of the capillary bed is a potential biomarker of microvascular function that has gained increasing interest, both for clinical diagnosis and for elucidating oxygen transport mechanisms. Models of capillary oxygen transport link EOD to measurable oxygen extraction fraction (OEF) and cerebral blood flow (CBF). In this work, we confirm that two well established mathematical models of oxygen transport yield nearly equivalent EOD maps. Furthermore, we propose an easy-to-implement and clinically applicable multiparametric magnetic resonance imaging (MRI) protocol for quantitative EOD mapping. Our approach is based on imaging OEF and CBF with multiparametric quantitative blood oxygenation level dependent (mq-BOLD) MRI and pseudo-continuous arterial spin labeling (pCASL), respectively. We evaluated the imaging protocol by comparing MRI-EOD maps of 12 young healthy volunteers to PET data from a published study in different individuals. Our results show comparably good correlation between MRI- and PET-derived cortical EOD, OEF and CBF. Importantly, absolute values of MRI and PET showed high accordance for all three parameters. In conclusion, our data indicates feasibility of the proposed MRI protocol for EOD mapping, rendering the method promising for future clinical evaluation of patients with cerebrovascular diseases. SAGE Publications 2021-09-30 2022-02 /pmc/articles/PMC8795223/ /pubmed/34590895 http://dx.doi.org/10.1177/0271678X211048412 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Kufer, Jan Preibisch, Christine Epp, Samira Göttler, Jens Schmitzer, Lena Zimmer, Claus Hyder, Fahmeed Kaczmarz, Stephan Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging |
title | Imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
title_full | Imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
title_fullStr | Imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
title_full_unstemmed | Imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
title_short | Imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
title_sort | imaging effective oxygen diffusivity in the human brain with
multiparametric magnetic resonance imaging |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795223/ https://www.ncbi.nlm.nih.gov/pubmed/34590895 http://dx.doi.org/10.1177/0271678X211048412 |
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