Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784674898914836480 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8949449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tiuvladeugen predictivemribiomarkersinmsacriticalreview AT enacheiulian predictivemribiomarkersinmsacriticalreview AT paneacristinaaura predictivemribiomarkersinmsacriticalreview AT tiucristina predictivemribiomarkersinmsacriticalreview AT popescubogdanovidiu predictivemribiomarkersinmsacriticalreview |