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MRI detection of brain abnormality in sickle cell disease
Introduction: Over the past decades, neuroimaging studies have clarified that a significant proportion of patients with sickle cell disease (SCD) have functionally significant brain abnormalities. Clinically, structural magnetic resonance imaging (MRI) sequences (T2, FLAIR, diffusion-weighted imagin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315209/ https://www.ncbi.nlm.nih.gov/pubmed/33612034 http://dx.doi.org/10.1080/17474086.2021.1893687 |
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author | Stotesbury, Hanne Kawadler, Jamie Michelle Saunders, Dawn Elizabeth Kirkham, Fenella Jane |
author_facet | Stotesbury, Hanne Kawadler, Jamie Michelle Saunders, Dawn Elizabeth Kirkham, Fenella Jane |
author_sort | Stotesbury, Hanne |
collection | PubMed |
description | Introduction: Over the past decades, neuroimaging studies have clarified that a significant proportion of patients with sickle cell disease (SCD) have functionally significant brain abnormalities. Clinically, structural magnetic resonance imaging (MRI) sequences (T2, FLAIR, diffusion-weighted imaging) have been used by radiologists to diagnose chronic and acute cerebral infarction (both overt and clinically silent), while magnetic resonance angiography and venography have been used to diagnose arteriopathy and venous thrombosis. In research settings, imaging scientists are increasingly applying quantitative techniques to shine further light on underlying mechanisms. Areas covered: From a June 2020 PubMed search of ‘magnetic’ or ‘MRI’ and ‘sickle’ over the previous 5 years, we selected manuscripts on T1-based morphometric analysis, diffusion tensor imaging, arterial spin labeling, T2-oximetry, quantitative susceptibility, and connectivity. Expert Opinion: Quantitative MRI techniques are identifying structural and hemodynamic biomarkers associated with risk of neurological and neurocognitive complications. A growing body of evidence suggests that these biomarkers are sensitive to change with treatments, such as blood transfusion and hydroxyurea, indicating that they may hold promise as endpoints in future randomized clinical trials of novel approaches including hemoglobin F upregulation, reduction of polymerization, and gene therapy. With further validation, such techniques may eventually also improve neurological and neurocognitive risk stratification in this vulnerable population. |
format | Online Article Text |
id | pubmed-8315209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-83152092021-08-09 MRI detection of brain abnormality in sickle cell disease Stotesbury, Hanne Kawadler, Jamie Michelle Saunders, Dawn Elizabeth Kirkham, Fenella Jane Expert Rev Hematol Review Introduction: Over the past decades, neuroimaging studies have clarified that a significant proportion of patients with sickle cell disease (SCD) have functionally significant brain abnormalities. Clinically, structural magnetic resonance imaging (MRI) sequences (T2, FLAIR, diffusion-weighted imaging) have been used by radiologists to diagnose chronic and acute cerebral infarction (both overt and clinically silent), while magnetic resonance angiography and venography have been used to diagnose arteriopathy and venous thrombosis. In research settings, imaging scientists are increasingly applying quantitative techniques to shine further light on underlying mechanisms. Areas covered: From a June 2020 PubMed search of ‘magnetic’ or ‘MRI’ and ‘sickle’ over the previous 5 years, we selected manuscripts on T1-based morphometric analysis, diffusion tensor imaging, arterial spin labeling, T2-oximetry, quantitative susceptibility, and connectivity. Expert Opinion: Quantitative MRI techniques are identifying structural and hemodynamic biomarkers associated with risk of neurological and neurocognitive complications. A growing body of evidence suggests that these biomarkers are sensitive to change with treatments, such as blood transfusion and hydroxyurea, indicating that they may hold promise as endpoints in future randomized clinical trials of novel approaches including hemoglobin F upregulation, reduction of polymerization, and gene therapy. With further validation, such techniques may eventually also improve neurological and neurocognitive risk stratification in this vulnerable population. Taylor & Francis 2021-06-07 /pmc/articles/PMC8315209/ /pubmed/33612034 http://dx.doi.org/10.1080/17474086.2021.1893687 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Stotesbury, Hanne Kawadler, Jamie Michelle Saunders, Dawn Elizabeth Kirkham, Fenella Jane MRI detection of brain abnormality in sickle cell disease |
title | MRI detection of brain abnormality in sickle cell disease |
title_full | MRI detection of brain abnormality in sickle cell disease |
title_fullStr | MRI detection of brain abnormality in sickle cell disease |
title_full_unstemmed | MRI detection of brain abnormality in sickle cell disease |
title_short | MRI detection of brain abnormality in sickle cell disease |
title_sort | mri detection of brain abnormality in sickle cell disease |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315209/ https://www.ncbi.nlm.nih.gov/pubmed/33612034 http://dx.doi.org/10.1080/17474086.2021.1893687 |
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