Creating normograms of dural sinuses in healthy persons using computer-assisted detection for analysis and comparison of cross-section dural sinuses in the brain. (June 2017)

• Record Type: Journal Article
• Authors: Anconina, Reut; Zur, Dinah; Kesler, Anat; Lublinsky, Svetlana; Toledano, Ronen; Novack, Victor; Benkobich, Elya; Novoa, Rosa; Novic, Evelyne Farkash; Shelef, Ilan
• Is Part Of: Journal of clinical neuroscience. Volume 40(2017:Jun.)
• Page Start: 190
• Page End: 194
• Publication Date: 2017-06
• Subjects: CAD computer-assisted detection -- CS cross section -- ICP intracranial pressure -- MRV magnetic resonance venography -- LTS left transverse sinus -- RTS right transverse sinus -- SSS superior sagittal sinus -- TS transverse sinus; Neuroimaging -- Magnetic resonance imaging -- Intracranial pressure -- Computer-assisted image processing; Brain -- Surgery -- Periodicals; Neurosciences -- Periodicals; Nervous system -- Surgery -- Periodicals; Brain -- surgery -- Periodicals; Neurosurgical Procedures -- Periodicals; Neurosciences -- Periodicals; Electronic journals; 616.8
• DOI: 10.1016/j.jocn.2017.02.006
• Languages: English
• ISSNs: 0967-5868

Abstract

Highlights: Cross-sectional analysis of dural sinuses in healthy persons was performed. Data analysis was done using a specially developed Matlab algorithm. Normograms were created for right and left transverse and superior sagittal sinus. Abstract: Dural sinuses vary in size and shape in many pathological conditions with abnormal intracranial pressure. Size and shape normograms of dural brain sinuses are not available. The creation of such normograms may enable computer-assisted comparison to pathologic exams and facilitate diagnoses. The purpose of this study was to quantitatively evaluate normal magnetic resonance venography (MRV) studies in order to create normograms of dural sinuses using a computerized algorithm for vessel cross-sectional analysis. This was a retrospective analysis of MRV studies of 30 healthy persons. Data were analyzed using a specially developed Matlab algorithm for vessel cross-sectional analysis. The cross-sectional area and shape measurements were evaluated to create normograms. Mean cross-sectional size was 53.27 ± 13.31 for the right transverse sinus (TS), 46.87 + 12.57 for the left TS ( p = 0.089) and 36.65 + 12.38 for the superior sagittal sinus. Normograms were created. The distribution of cross-sectional areas along the vessels showed distinct patterns and a parallel course for the median, 25th, 50th and 75th percentiles. In conclusion, using a novel computerized method for vessel cross-sectional analysis we were able to quantitatively characterize dural sinuses of healthy persons and create normograms.