Evidence map›Paper›PMID 39935195›Full record

ArticleBrain and behavior2025

Determining the Diagnostic Value of Venous Sinus Density Indices in Non-Contrast Brain CT Scan for Early Diagnosis of Cerebral Venous Sinus Thrombosis.

Mehdi Maghbooli, Mohammad Kermani, Seyed Nariman Tavakoli Sany, Melina Arfaei

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Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Cerebral venous thrombosis: Current management, recent advances and future directions.International journal of stroke : official journal of the International Stroke Society · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mehdi MaghbooliDepartment of Neurology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.ORCID https://orcid.org/0000-0003-0482-9062
Mohammad KermaniDepartment of Neurology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Seyed Nariman Tavakoli SanyStudent Research Committee, Department of Neurology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.ORCID https://orcid.org/0000-0002-9888-0995
Melina ArfaeiDepartment of Neurology, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimA non-contrast brain CT Non-contrast computed tomography (NCCT) scan is a valuable and cost-effective way to detect cerebral venous sinus thrombosis (CVST) during its acute phase. The goal of this study was to evaluate how effective this diagnostic approach is, including its various density indices, to enable a more precise and timely diagnosis of this debilitating condition.

methodThis retrospective case-control study was conducted on 88 patients with suspected acute CVST. We analyzed NCCT scans of patients with suspected CVST using a Bayesian regression model with a 95% confidence level. We also conducted ROC analysis in R4.1.0 to determine the optimal cut-off point.

resultWe discovered a significant variance in the average sinus attenuation when comparing patients with acute CVST (p < 0.001). By utilizing an optimal cutoff of 61 HU (Hounsfield unit), we achieved sensitivities of 77.1% and specificities of 92.5% for average sinus attenuation. In addition, the optimal cutoff for standardized parameters included the ratios of HU/H (Hematocrit), HU/ICA (internal carotid artery), HU/BA (basilar artery), HU/FRONTAL lobe, HU/TEMPORAL lobe, and HU-BA, which were 1.41, 1.52, 1.63, 1.6, 1.6, and 23, respectively (p < 0.001). Area under the ROC curve for absolute venous Hounsfield was 0.88.

conclusionNCCT is a reliable diagnostic approach for acute cerebral venous sinus thrombosis in emergency scenarios. Standardized parameters of absolute Hounsfield unit venous sinus thrombosis increase diagnosis accuracy. It is suggested to use these parameters as a complement to each other for more accurate diagnosis.

Indexed as

Cranial SinusesSinus Thrombosis, IntracranialTomography, X-Ray ComputedAdolescentAdultAgedBayes TheoremBrainCase-Control StudiesEarly DiagnosisFemaleHumansMaleMiddle AgedRetrospective StudiesROC Curvecerebral venous sinuses thrombosisHounsfield unit valuenon‐contrast computed tomographynon‐contrast CT scan

Identifiers

PMID39935195
PMCPMC11813980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.