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Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements
Multiple echo-time arterial spin labelling (multi-TE ASL) offers estimation of blood–tissue exchange dynamics by probing the T2 relaxation of the labelled spins. In this study, we provide a recipe for robust assessment of exchange time (Texch) as a proxy measure of blood–brain barrier (BBB) integrit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678075/ https://www.ncbi.nlm.nih.gov/pubmed/34924924 http://dx.doi.org/10.3389/fnins.2021.719676 |
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author | Mahroo, Amnah Buck, Mareike Alicja Huber, Jörn Breutigam, Nora-Josefin Mutsaerts, Henk J. M. M. Craig, Martin Chappell, Michael Günther, Matthias |
author_facet | Mahroo, Amnah Buck, Mareike Alicja Huber, Jörn Breutigam, Nora-Josefin Mutsaerts, Henk J. M. M. Craig, Martin Chappell, Michael Günther, Matthias |
author_sort | Mahroo, Amnah |
collection | PubMed |
description | Multiple echo-time arterial spin labelling (multi-TE ASL) offers estimation of blood–tissue exchange dynamics by probing the T2 relaxation of the labelled spins. In this study, we provide a recipe for robust assessment of exchange time (Texch) as a proxy measure of blood–brain barrier (BBB) integrity based on a test-retest analysis. This includes a novel scan protocol and an extension of the two-compartment model with an “intra-voxel transit time” (ITT) to address tissue transit effects. With the extended model, we intend to separate the underlying two distinct mechanisms of tissue transit and exchange. The performance of the extended model in comparison with the two-compartment model was evaluated in simulations. Multi-TE ASL sequence with two different bolus durations was used to acquire in vivo data (n = 10). Cerebral blood flow (CBF), arterial transit time (ATT) and Texch were fitted with the two models, and mean grey matter values were compared. Additionally, the extended model also extracted ITT parameter. The test-retest reliability of Texch was assessed for intra-session, inter-session and inter-visit pairs of measurements. Intra-class correlation coefficient (ICC) and within-subject coefficient of variance (CoV) for grey matter were computed to assess the precision of the method. Mean grey matter Texch and ITT values were found to be 227.9 ± 37.9 ms and 310.3 ± 52.9 ms, respectively. Texch estimated by the extended model was 32.6 ± 5.9% lower than the two-compartment model. A significant ICC was observed for all three measures of Texch reliability (P < 0.05). Texch intra-session CoV, inter-session CoV and inter-visit CoV were found to be 6.6%, 7.9%, and 8.4%, respectively. With the described improvements addressing intra-voxel transit effects, multi-TE ASL shows good reproducibility as a non-invasive measure of BBB permeability. These findings offer an encouraging step forward to apply this potential BBB permeability biomarker in clinical research. |
format | Online Article Text |
id | pubmed-8678075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86780752021-12-18 Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements Mahroo, Amnah Buck, Mareike Alicja Huber, Jörn Breutigam, Nora-Josefin Mutsaerts, Henk J. M. M. Craig, Martin Chappell, Michael Günther, Matthias Front Neurosci Neuroscience Multiple echo-time arterial spin labelling (multi-TE ASL) offers estimation of blood–tissue exchange dynamics by probing the T2 relaxation of the labelled spins. In this study, we provide a recipe for robust assessment of exchange time (Texch) as a proxy measure of blood–brain barrier (BBB) integrity based on a test-retest analysis. This includes a novel scan protocol and an extension of the two-compartment model with an “intra-voxel transit time” (ITT) to address tissue transit effects. With the extended model, we intend to separate the underlying two distinct mechanisms of tissue transit and exchange. The performance of the extended model in comparison with the two-compartment model was evaluated in simulations. Multi-TE ASL sequence with two different bolus durations was used to acquire in vivo data (n = 10). Cerebral blood flow (CBF), arterial transit time (ATT) and Texch were fitted with the two models, and mean grey matter values were compared. Additionally, the extended model also extracted ITT parameter. The test-retest reliability of Texch was assessed for intra-session, inter-session and inter-visit pairs of measurements. Intra-class correlation coefficient (ICC) and within-subject coefficient of variance (CoV) for grey matter were computed to assess the precision of the method. Mean grey matter Texch and ITT values were found to be 227.9 ± 37.9 ms and 310.3 ± 52.9 ms, respectively. Texch estimated by the extended model was 32.6 ± 5.9% lower than the two-compartment model. A significant ICC was observed for all three measures of Texch reliability (P < 0.05). Texch intra-session CoV, inter-session CoV and inter-visit CoV were found to be 6.6%, 7.9%, and 8.4%, respectively. With the described improvements addressing intra-voxel transit effects, multi-TE ASL shows good reproducibility as a non-invasive measure of BBB permeability. These findings offer an encouraging step forward to apply this potential BBB permeability biomarker in clinical research. Frontiers Media S.A. 2021-12-03 /pmc/articles/PMC8678075/ /pubmed/34924924 http://dx.doi.org/10.3389/fnins.2021.719676 Text en Copyright © 2021 Mahroo, Buck, Huber, Breutigam, Mutsaerts, Craig, Chappell and Günther. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Mahroo, Amnah Buck, Mareike Alicja Huber, Jörn Breutigam, Nora-Josefin Mutsaerts, Henk J. M. M. Craig, Martin Chappell, Michael Günther, Matthias Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title | Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title_full | Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title_fullStr | Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title_full_unstemmed | Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title_short | Robust Multi-TE ASL-Based Blood–Brain Barrier Integrity Measurements |
title_sort | robust multi-te asl-based blood–brain barrier integrity measurements |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678075/ https://www.ncbi.nlm.nih.gov/pubmed/34924924 http://dx.doi.org/10.3389/fnins.2021.719676 |
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