{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T12:26:43Z","timestamp":1792672003434,"version":"4.5.0"},"reference-count":26,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T00:00:00Z","timestamp":1739232000000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background and Aim<\/jats:title><jats:p>A non\u2010contrast brain CT Non\u2010contrast computed tomography (NCCT) scan is a valuable and cost\u2010effective 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p>This retrospective case\u2010control 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\u2010off point.<\/jats:p><\/jats:sec><jats:sec><jats:title>Result<\/jats:title><jats:p>We discovered a significant variance in the average sinus attenuation when comparing patients with acute CVST (<jats:italic>p<\/jats:italic> &lt; 0.001). By utilizing an optimal cutoff of 61\u00a0HU (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\u2013BA, which were 1.41, 1.52, 1.63, 1.6, 1.6, and 23, respectively (<jats:italic>p<\/jats:italic> &lt; 0.001). Area under the ROC curve for absolute venous Hounsfield was 0.88.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>NCCT 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.<\/jats:p><\/jats:sec>","DOI":"10.1002\/brb3.70324","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T01:39:26Z","timestamp":1739324366000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Determining the Diagnostic Value of Venous Sinus Density Indices in Non\u2010Contrast Brain CT Scan for Early Diagnosis of Cerebral Venous Sinus Thrombosis"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0482-9062","authenticated-orcid":false,"given":"Mehdi","family":"Maghbooli","sequence":"first","affiliation":[{"name":"Department of Neurology, Faculty of Medicine Zanjan University of Medical Sciences  Zanjan Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad","family":"Kermani","sequence":"additional","affiliation":[{"name":"Department of Neurology, Faculty of Medicine Zanjan University of Medical Sciences  Zanjan Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9888-0995","authenticated-orcid":false,"given":"Seyed Nariman Tavakoli","family":"Sany","sequence":"additional","affiliation":[{"name":"Student Research Committee, Department of Neurology, Faculty of Medicine Zanjan University of Medical Sciences  Zanjan Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melina","family":"Arfaei","sequence":"additional","affiliation":[{"name":"Department of Neurology, Faculty of Medicine Zanjan University of Medical Sciences  Zanjan 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