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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...

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Autores principales: Stotesbury, Hanne, Kawadler, Jamie Michelle, Saunders, Dawn Elizabeth, Kirkham, Fenella Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
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.
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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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