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Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis

Cerebral venous sinus thrombosis (CVST) is a rare type of venous thromboembolism mostly affecting young adults. Despite improved imaging studies, the diagnosis is usually delayed by several days. An average diagnostic delay of seven days from the onset of symptoms is still reported for this conditio...

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Autores principales: Abbasi, Bita, Kahani, Nadia, Ghalibaf, AmirAli Moodi, Layegh, Parvaneh, Niroumand, Shabnam, Akhavan, Reza, Hamidi, Ehsan, Salehi, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636138/
https://www.ncbi.nlm.nih.gov/pubmed/36333349
http://dx.doi.org/10.1038/s41598-022-21743-x
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author Abbasi, Bita
Kahani, Nadia
Ghalibaf, AmirAli Moodi
Layegh, Parvaneh
Niroumand, Shabnam
Akhavan, Reza
Hamidi, Ehsan
Salehi, Maryam
author_facet Abbasi, Bita
Kahani, Nadia
Ghalibaf, AmirAli Moodi
Layegh, Parvaneh
Niroumand, Shabnam
Akhavan, Reza
Hamidi, Ehsan
Salehi, Maryam
author_sort Abbasi, Bita
collection PubMed
description Cerebral venous sinus thrombosis (CVST) is a rare type of venous thromboembolism mostly affecting young adults. Despite improved imaging studies, the diagnosis is usually delayed by several days. An average diagnostic delay of seven days from the onset of symptoms is still reported for this condition, and it is crucial for radiologists to detect this potentially lethal condition in routine imaging studies. In this study we aimed to investigate the diagnostic value of multi-detector brain CTA in diagnosing acute CVT. We searched our Picture Archiving and Communicating System (PACS) of our tertiary-level academic hospital between March 2016 and March 2019, and collected all patients for whom both contrast-enhanced MRV and brain CTA were acquired at the same admission. A total of 242 patients were found on our PACS database who met our criteria. In the blinded multidetector-row computed tomographic angiography (MDCTA) evaluation, there was a sensitivity of 96.1%, specificity of 98.6% and accuracy of 98.3% for MDCTA in detecting CVST. In the emergency settings, and in centers in which MRI scanners are not available, MDCTA can be used instead of CE-MRV for diagnosis of CSVT with a good sensitivity and specificity.
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spelling pubmed-96361382022-11-06 Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis Abbasi, Bita Kahani, Nadia Ghalibaf, AmirAli Moodi Layegh, Parvaneh Niroumand, Shabnam Akhavan, Reza Hamidi, Ehsan Salehi, Maryam Sci Rep Article Cerebral venous sinus thrombosis (CVST) is a rare type of venous thromboembolism mostly affecting young adults. Despite improved imaging studies, the diagnosis is usually delayed by several days. An average diagnostic delay of seven days from the onset of symptoms is still reported for this condition, and it is crucial for radiologists to detect this potentially lethal condition in routine imaging studies. In this study we aimed to investigate the diagnostic value of multi-detector brain CTA in diagnosing acute CVT. We searched our Picture Archiving and Communicating System (PACS) of our tertiary-level academic hospital between March 2016 and March 2019, and collected all patients for whom both contrast-enhanced MRV and brain CTA were acquired at the same admission. A total of 242 patients were found on our PACS database who met our criteria. In the blinded multidetector-row computed tomographic angiography (MDCTA) evaluation, there was a sensitivity of 96.1%, specificity of 98.6% and accuracy of 98.3% for MDCTA in detecting CVST. In the emergency settings, and in centers in which MRI scanners are not available, MDCTA can be used instead of CE-MRV for diagnosis of CSVT with a good sensitivity and specificity. Nature Publishing Group UK 2022-11-04 /pmc/articles/PMC9636138/ /pubmed/36333349 http://dx.doi.org/10.1038/s41598-022-21743-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Abbasi, Bita
Kahani, Nadia
Ghalibaf, AmirAli Moodi
Layegh, Parvaneh
Niroumand, Shabnam
Akhavan, Reza
Hamidi, Ehsan
Salehi, Maryam
Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title_full Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title_fullStr Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title_full_unstemmed Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title_short Evaluating the diagnostic value of multi-detector brain CT angiography in diagnosing acute cerebral venous thrombosis
title_sort evaluating the diagnostic value of multi-detector brain ct angiography in diagnosing acute cerebral venous thrombosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636138/
https://www.ncbi.nlm.nih.gov/pubmed/36333349
http://dx.doi.org/10.1038/s41598-022-21743-x
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