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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...

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Autores principales: Mahroo, Amnah, Buck, Mareike Alicja, Huber, Jörn, Breutigam, Nora-Josefin, Mutsaerts, Henk J. M. M., Craig, Martin, Chappell, Michael, Günther, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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