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Predictive MRI Biomarkers in MS—A Critical Review

Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MR...

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Autores principales: Tiu, Vlad Eugen, Enache, Iulian, Panea, Cristina Aura, Tiu, Cristina, Popescu, Bogdan Ovidiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949449/
https://www.ncbi.nlm.nih.gov/pubmed/35334554
http://dx.doi.org/10.3390/medicina58030377
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author Tiu, Vlad Eugen
Enache, Iulian
Panea, Cristina Aura
Tiu, Cristina
Popescu, Bogdan Ovidiu
author_facet Tiu, Vlad Eugen
Enache, Iulian
Panea, Cristina Aura
Tiu, Cristina
Popescu, Bogdan Ovidiu
author_sort Tiu, Vlad Eugen
collection PubMed
description Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.
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spelling pubmed-89494492022-03-26 Predictive MRI Biomarkers in MS—A Critical Review Tiu, Vlad Eugen Enache, Iulian Panea, Cristina Aura Tiu, Cristina Popescu, Bogdan Ovidiu Medicina (Kaunas) Review Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it. MDPI 2022-03-03 /pmc/articles/PMC8949449/ /pubmed/35334554 http://dx.doi.org/10.3390/medicina58030377 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tiu, Vlad Eugen
Enache, Iulian
Panea, Cristina Aura
Tiu, Cristina
Popescu, Bogdan Ovidiu
Predictive MRI Biomarkers in MS—A Critical Review
title Predictive MRI Biomarkers in MS—A Critical Review
title_full Predictive MRI Biomarkers in MS—A Critical Review
title_fullStr Predictive MRI Biomarkers in MS—A Critical Review
title_full_unstemmed Predictive MRI Biomarkers in MS—A Critical Review
title_short Predictive MRI Biomarkers in MS—A Critical Review
title_sort predictive mri biomarkers in ms—a critical review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949449/
https://www.ncbi.nlm.nih.gov/pubmed/35334554
http://dx.doi.org/10.3390/medicina58030377
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