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Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility

OBJECTIVE: To determine the Computed Tomography (CT) patterns of intracranial infarcts DESIGN: A retrospective cross-sectional study. SETTING: The CT scan unit of the Radiology Department, Cape Coast Teaching Hospital (CCTH), from February 2017 to February 2021 PARTICIPANTS: One thousand, one hundre...

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Autores principales: Edzie, Emmanuel K M, Dzefi-Tettey, Klenam, Gorleku, Philip N, Brakohiapa, Edmund K, Appiah-Thompson, Peter, Agyen-Mensah, Kwasi, Amedi, Michael K, Quarshie, Frank, Boadi, Evans, Kpobi, Joshua M, Edzie, Richard A, Asemah, Abdul R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ghana Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334949/
https://www.ncbi.nlm.nih.gov/pubmed/35919779
http://dx.doi.org/10.4314/gmj.v56i1.5
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author Edzie, Emmanuel K M
Dzefi-Tettey, Klenam
Gorleku, Philip N
Brakohiapa, Edmund K
Appiah-Thompson, Peter
Agyen-Mensah, Kwasi
Amedi, Michael K
Quarshie, Frank
Boadi, Evans
Kpobi, Joshua M
Edzie, Richard A
Asemah, Abdul R
author_facet Edzie, Emmanuel K M
Dzefi-Tettey, Klenam
Gorleku, Philip N
Brakohiapa, Edmund K
Appiah-Thompson, Peter
Agyen-Mensah, Kwasi
Amedi, Michael K
Quarshie, Frank
Boadi, Evans
Kpobi, Joshua M
Edzie, Richard A
Asemah, Abdul R
author_sort Edzie, Emmanuel K M
collection PubMed
description OBJECTIVE: To determine the Computed Tomography (CT) patterns of intracranial infarcts DESIGN: A retrospective cross-sectional study. SETTING: The CT scan unit of the Radiology Department, Cape Coast Teaching Hospital (CCTH), from February 2017 to February 2021 PARTICIPANTS: One thousand, one hundred and twenty-five patients with non-contrast head CT scan diagnosis of ischaemic strokes, consecutively selected over the study period without any exclusions MAIN OUTCOME MEASURES: Patterns of non-contrast head CT scan of ischaemic strokes. RESULTS: About 50.6% of the study participants were females with an average age of 62.59±13.91 years. Males were affected with ischaemic strokes earlier than females (p<0.001). The risk factors considered were, hyperlipidaemia (59.5%), hypertension (49.0%), Type 2 diabetes mellitus (DM-2) (39.6%) and smoking (3.0%). The three commonest ischaemic stroke CT scan features were wedge-shaped hypodensity extending to the edge of the brain (62.8%), sulcal flattening/effacement (57.6%) and loss of grey-white matter differentiation (51.0%), which were all significantly associated with hypertension. Small deep brain hypodensities, the rarest feature (2.2%), had no significant association with any of the risk factors considered in the study. CONCLUSION: Apart from the loss of grey-white matter differentiation, there was no significant association between the other CT scan features and sex. Generally, most of the risk factors and the CT scan features were significantly associated with increasing age. FUNDING: None declared.
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spelling pubmed-93349492022-08-01 Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility Edzie, Emmanuel K M Dzefi-Tettey, Klenam Gorleku, Philip N Brakohiapa, Edmund K Appiah-Thompson, Peter Agyen-Mensah, Kwasi Amedi, Michael K Quarshie, Frank Boadi, Evans Kpobi, Joshua M Edzie, Richard A Asemah, Abdul R Ghana Med J Original Article OBJECTIVE: To determine the Computed Tomography (CT) patterns of intracranial infarcts DESIGN: A retrospective cross-sectional study. SETTING: The CT scan unit of the Radiology Department, Cape Coast Teaching Hospital (CCTH), from February 2017 to February 2021 PARTICIPANTS: One thousand, one hundred and twenty-five patients with non-contrast head CT scan diagnosis of ischaemic strokes, consecutively selected over the study period without any exclusions MAIN OUTCOME MEASURES: Patterns of non-contrast head CT scan of ischaemic strokes. RESULTS: About 50.6% of the study participants were females with an average age of 62.59±13.91 years. Males were affected with ischaemic strokes earlier than females (p<0.001). The risk factors considered were, hyperlipidaemia (59.5%), hypertension (49.0%), Type 2 diabetes mellitus (DM-2) (39.6%) and smoking (3.0%). The three commonest ischaemic stroke CT scan features were wedge-shaped hypodensity extending to the edge of the brain (62.8%), sulcal flattening/effacement (57.6%) and loss of grey-white matter differentiation (51.0%), which were all significantly associated with hypertension. Small deep brain hypodensities, the rarest feature (2.2%), had no significant association with any of the risk factors considered in the study. CONCLUSION: Apart from the loss of grey-white matter differentiation, there was no significant association between the other CT scan features and sex. Generally, most of the risk factors and the CT scan features were significantly associated with increasing age. FUNDING: None declared. Ghana Medical Association 2022-03 /pmc/articles/PMC9334949/ /pubmed/35919779 http://dx.doi.org/10.4314/gmj.v56i1.5 Text en Copyright © The Author(s). https://creativecommons.org/licenses/by/4.0/This is an Open Access article under the CC BY license.
spellingShingle Original Article
Edzie, Emmanuel K M
Dzefi-Tettey, Klenam
Gorleku, Philip N
Brakohiapa, Edmund K
Appiah-Thompson, Peter
Agyen-Mensah, Kwasi
Amedi, Michael K
Quarshie, Frank
Boadi, Evans
Kpobi, Joshua M
Edzie, Richard A
Asemah, Abdul R
Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title_full Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title_fullStr Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title_full_unstemmed Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title_short Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility
title_sort computed tomography patterns of intracranial infarcts in a ghanaian tertiary facility
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334949/
https://www.ncbi.nlm.nih.gov/pubmed/35919779
http://dx.doi.org/10.4314/gmj.v56i1.5
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