Are cerebral veins hounsfield unit and H: H ratio calculating in unenhanced CT eligible to diagnosis of acute cerebral vein thrombosis?

(2019) Are cerebral veins hounsfield unit and H: H ratio calculating in unenhanced CT eligible to diagnosis of acute cerebral vein thrombosis? Journal of Research in Medical Sciences. p. 5. ISSN 1735-1995

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Abstract

Background: For both the clinician and a radiologist, the diagnosis of cerebral venous sinus thrombosis (CVST), because of the variety of signs and symptoms, remains a challenge. In this study, the role of unenhanced brain computed tomography (CT) in the diagnosis of CVST was assessed. Materials and Methods: In this case-control study, unenhanced CT of 35 patients with acute CVST was compared with 70 normal patients. Hematocrit (HCT), creatinine, and blood urea nitrogen were recorded in all patients. CT images were read, and the attenuation was measured by two independent experienced radiologists. The H:H ratio was calculated for all patients in both case and control groups to normalized densities regarding HCT. Results: The mean of attenuation in patients was 66.95 +/- 10.63 Hounsfield unit (HU) and in the controls was 52.51 +/- 2.92 HU (P < 0.0001). The mean of H:H ratio in patients was 1.78 +/- 0.40 and in controls was 1.46 +/- 0.28 (P < 0.0001). Attenuation >60.4 HU was the best optimal cutoff with area under the curve of 0.918 (0.848-0.962) and had 71.4 sensitivity and 100 specificity. H:H ratio >1.42 as the optimal cutoff had 94.3 sensitivity and 54.3 specificity for identifying the CVST. Conclusion: Attenuation value >60.4 HU and H: H ratio >1.42 calculated based on unenhanced CT can be used as reliable methods to detect CVST in the absence of magnetic resonance imaging and magnetic resonance venography in the emergency setting.

Item Type: Article
Keywords: Computed tomography cranial sinus thrombosis hematocrit dural sinus thrombosis venous thrombosis noncontrast ct density General & Internal Medicine
Subjects: WL Nervous System
Divisions: Faculty of Medicine > Departments of Clinical Sciences > Department of Radiology
Page Range: p. 5
Journal or Publication Title: Journal of Research in Medical Sciences
Journal Index: ISI
Volume: 24
Identification Number: https://doi.org/10.4103/jrms.JRMS₁₀₂₇₁₈
ISSN: 1735-1995
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/11440

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