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Conventional and advanced brain MR imaging in patients with sickle cell anemia
BACKGROUND: Sickle cell disease (SCD) is an autosomal recessive hemolytic disorder; its cerebrovascular complications include silent cerebral ischemia, infarct, and brain atrophy. Conventional magnetic resonance imaging (MRI) often underestimates the extent of injury. Diffusion tensor imaging (DTI)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176679/ https://www.ncbi.nlm.nih.gov/pubmed/30319206 http://dx.doi.org/10.4103/ijri.IJRI_166_17 |
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author | Issar, Pratibha Nehra, Maya Singh, Gurmeet Issar, SK |
author_facet | Issar, Pratibha Nehra, Maya Singh, Gurmeet Issar, SK |
author_sort | Issar, Pratibha |
collection | PubMed |
description | BACKGROUND: Sickle cell disease (SCD) is an autosomal recessive hemolytic disorder; its cerebrovascular complications include silent cerebral ischemia, infarct, and brain atrophy. Conventional magnetic resonance imaging (MRI) often underestimates the extent of injury. Diffusion tensor imaging (DTI) can demonstrate and quantify microstructural brain changes in SCD cases having normal routine MRI. OBJECTIVE: To identify various neurological abnormalities in asymptomatic sickle cell patients using routine MRI and to evaluate the microstructure of various regions of the brain using DTI. MATERIALS AND METHODS: A prospective, randomized case–control study was conducted over a period of 2 years. A total of 58 cases of SCD and 56 age- and sex-matched controls were included. Routine MRI and DTI were performed in both the groups following a standard protocol. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were calculated in certain pre-defined regions. Primary data were analyzed using MS excel version 17. Analysis of variance test was performed and statistical significance was set at P < 0.05. RESULTS: Thirty regions of interest with 60 variables were included in the final analysis. Patients with SCD showed statistically significant reduced FA values, increased ADC values, or both, clustered in several brain areas, including pons, cerebral peduncle, corpus callosum, frontal, temporal, parietal white matter, centrum semiovale, periventricular areas, basal ganglia, and left thalamus (P < 0.05). CONCLUSION: DTI is a promising method for characterizing microstructural changes, when conventional MRI is normal. |
format | Online Article Text |
id | pubmed-6176679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61766792018-10-12 Conventional and advanced brain MR imaging in patients with sickle cell anemia Issar, Pratibha Nehra, Maya Singh, Gurmeet Issar, SK Indian J Radiol Imaging Neuroradiology & Head and Neck Imaging BACKGROUND: Sickle cell disease (SCD) is an autosomal recessive hemolytic disorder; its cerebrovascular complications include silent cerebral ischemia, infarct, and brain atrophy. Conventional magnetic resonance imaging (MRI) often underestimates the extent of injury. Diffusion tensor imaging (DTI) can demonstrate and quantify microstructural brain changes in SCD cases having normal routine MRI. OBJECTIVE: To identify various neurological abnormalities in asymptomatic sickle cell patients using routine MRI and to evaluate the microstructure of various regions of the brain using DTI. MATERIALS AND METHODS: A prospective, randomized case–control study was conducted over a period of 2 years. A total of 58 cases of SCD and 56 age- and sex-matched controls were included. Routine MRI and DTI were performed in both the groups following a standard protocol. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were calculated in certain pre-defined regions. Primary data were analyzed using MS excel version 17. Analysis of variance test was performed and statistical significance was set at P < 0.05. RESULTS: Thirty regions of interest with 60 variables were included in the final analysis. Patients with SCD showed statistically significant reduced FA values, increased ADC values, or both, clustered in several brain areas, including pons, cerebral peduncle, corpus callosum, frontal, temporal, parietal white matter, centrum semiovale, periventricular areas, basal ganglia, and left thalamus (P < 0.05). CONCLUSION: DTI is a promising method for characterizing microstructural changes, when conventional MRI is normal. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6176679/ /pubmed/30319206 http://dx.doi.org/10.4103/ijri.IJRI_166_17 Text en Copyright: © 2018 Indian Journal of Radiology and Imaging http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Neuroradiology & Head and Neck Imaging Issar, Pratibha Nehra, Maya Singh, Gurmeet Issar, SK Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title | Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title_full | Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title_fullStr | Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title_full_unstemmed | Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title_short | Conventional and advanced brain MR imaging in patients with sickle cell anemia |
title_sort | conventional and advanced brain mr imaging in patients with sickle cell anemia |
topic | Neuroradiology & Head and Neck Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176679/ https://www.ncbi.nlm.nih.gov/pubmed/30319206 http://dx.doi.org/10.4103/ijri.IJRI_166_17 |
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