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Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method

Cerebral venous sinus thrombosis (CVST) on non-contrast CT (NCCT) is often challenging to detect. We retrospectively selected 41 children and 36 adults with confirmed CVST and two age-matched control groups with comparable initial symptoms. We evaluated NCCT placing four small circular ROIs in stand...

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Autores principales: Romano, Andrea, Rossi-Espagnet, Maria Camilla, Pasquini, Luca, Di Napoli, Alberto, Dellepiane, Francesco, Butera, Giulia, Moltoni, Giulia, Gagliardo, Olga, Bozzao, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788512/
https://www.ncbi.nlm.nih.gov/pubmed/35076628
http://dx.doi.org/10.3390/tomography8010001
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author Romano, Andrea
Rossi-Espagnet, Maria Camilla
Pasquini, Luca
Di Napoli, Alberto
Dellepiane, Francesco
Butera, Giulia
Moltoni, Giulia
Gagliardo, Olga
Bozzao, Alessandro
author_facet Romano, Andrea
Rossi-Espagnet, Maria Camilla
Pasquini, Luca
Di Napoli, Alberto
Dellepiane, Francesco
Butera, Giulia
Moltoni, Giulia
Gagliardo, Olga
Bozzao, Alessandro
author_sort Romano, Andrea
collection PubMed
description Cerebral venous sinus thrombosis (CVST) on non-contrast CT (NCCT) is often challenging to detect. We retrospectively selected 41 children and 36 adults with confirmed CVST and two age-matched control groups with comparable initial symptoms. We evaluated NCCT placing four small circular ROIs in standardized regions of the cerebral dural venous system. The mean and maximum HU values were considered from each ROI, and the relative percentage variations were calculated (mean % variation and maximum % variation). We compared the highest measured value to the remaining three HU values through an ad-hoc formula based on the assumption that the thrombosed sinus has higher attenuation compared with the healthy sinuses. Percentage variations were employed to reflect how the attenuation of the thrombosed sinus deviates from the unaffected counterparts. The attenuation of the affected sinus was increased in patients with CVST, and consequently both the mean % and maximum % variations were increased. A mean % variation value of 12.97 and a maximum % variation value of 10.14 were found to be useful to distinguish patients with CVST from healthy subjects, with high sensitivity and specificity. Increased densitometric values were present in the site of venous thrombosis. A systematic, blind evaluation of the brain venous system can assist radiologists in identifying patients who need or do not need further imaging.
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spelling pubmed-87885122022-01-26 Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method Romano, Andrea Rossi-Espagnet, Maria Camilla Pasquini, Luca Di Napoli, Alberto Dellepiane, Francesco Butera, Giulia Moltoni, Giulia Gagliardo, Olga Bozzao, Alessandro Tomography Article Cerebral venous sinus thrombosis (CVST) on non-contrast CT (NCCT) is often challenging to detect. We retrospectively selected 41 children and 36 adults with confirmed CVST and two age-matched control groups with comparable initial symptoms. We evaluated NCCT placing four small circular ROIs in standardized regions of the cerebral dural venous system. The mean and maximum HU values were considered from each ROI, and the relative percentage variations were calculated (mean % variation and maximum % variation). We compared the highest measured value to the remaining three HU values through an ad-hoc formula based on the assumption that the thrombosed sinus has higher attenuation compared with the healthy sinuses. Percentage variations were employed to reflect how the attenuation of the thrombosed sinus deviates from the unaffected counterparts. The attenuation of the affected sinus was increased in patients with CVST, and consequently both the mean % and maximum % variations were increased. A mean % variation value of 12.97 and a maximum % variation value of 10.14 were found to be useful to distinguish patients with CVST from healthy subjects, with high sensitivity and specificity. Increased densitometric values were present in the site of venous thrombosis. A systematic, blind evaluation of the brain venous system can assist radiologists in identifying patients who need or do not need further imaging. MDPI 2021-12-22 /pmc/articles/PMC8788512/ /pubmed/35076628 http://dx.doi.org/10.3390/tomography8010001 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Romano, Andrea
Rossi-Espagnet, Maria Camilla
Pasquini, Luca
Di Napoli, Alberto
Dellepiane, Francesco
Butera, Giulia
Moltoni, Giulia
Gagliardo, Olga
Bozzao, Alessandro
Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title_full Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title_fullStr Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title_full_unstemmed Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title_short Cerebral Venous Thrombosis: A Challenging Diagnosis; A New Nonenhanced Computed Tomography Standardized Semi-Quantitative Method
title_sort cerebral venous thrombosis: a challenging diagnosis; a new nonenhanced computed tomography standardized semi-quantitative method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788512/
https://www.ncbi.nlm.nih.gov/pubmed/35076628
http://dx.doi.org/10.3390/tomography8010001
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