Literature DB >> 18195652

Imaging of the intracranial venous system.

Ronit Agid1, Ilan Shelef, James N Scott, Richard I Farb.   

Abstract

BACKGROUND: Evaluation of the intracranial venous system has historically been performed with conventional catheter-based digital subtraction angiography (DSA). The continued importance of DSA can not be overstated in light of its inherent option of endovascular intervention and thrombolysis for cerebral venous thrombosis. DSA is, however, an invasive procedure with associated risks, including radiation exposure, and adverse effects of iodinated contrast medium. DSA also suffers from the limitations of 2-dimensional planar imaging. For these reasons, noninvasive imaging techniques are playing a greater role in evaluation of the intracranial venous system. REVIEW
SUMMARY: This review provides an overview of the current noninvasive methods and their applications and limitations, with examples of their use in a variety of disease processes. Computed tomography venography (CTV) is discussed as well as the various types of cerebral magnetic resonance venography (MRV).
CONCLUSION: When available, MR supplemented with the technique of triggered gadolinium-enhanced MRV is the method of choice for the diagnosis of dural sinus thrombosis as well as most other pathologic entities affecting the intracranial venous system.

Entities:  

Mesh:

Year:  2008        PMID: 18195652     DOI: 10.1097/NRL.0b013e318157f791

Source DB:  PubMed          Journal:  Neurologist        ISSN: 1074-7931            Impact factor:   1.398


  12 in total

1.  Time-resolved MR angiography of the intracranial venous system: an alternative MR venography technique.

Authors:  Hasan Yiğit; Aynur Turan; Elif Ergün; Pınar Koşar; Uğur Koşar
Journal:  Eur Radiol       Date:  2011-11-20       Impact factor: 5.315

2.  Color Doppler US of normal cerebral venous sinuses in neonates: a comparison with MR venography.

Authors:  Elka Miller; Alan Daneman; Andrea S Doria; Susan Blaser; Jeffrey Traubici; Jose Jarrin; Rahim Moineddin; Aideen Moore; Manohar Shroff
Journal:  Pediatr Radiol       Date:  2012-04-25

Review 3.  Cerebral sinus-venous thrombosis.

Authors:  Ida Martinelli; Serena Maria Passamonti; Elena Rossi; Valerio De Stefano
Journal:  Intern Emerg Med       Date:  2012-10       Impact factor: 3.397

4.  Evaluation of the anatomy and variants of internal cerebral veins with phase-sensitive MR imaging.

Authors:  Jin Wang; Jiawei Wang; Jianzhong Sun; Xiangyang Gong
Journal:  Surg Radiol Anat       Date:  2010-04-27       Impact factor: 1.246

5.  Usefulness of 4D-CTA in the detection of cerebral dural sinus occlusion or stenosis with collateral pathways.

Authors:  Y Ono; K Abe; K Suzuki; H Iimura; S Sakai; S Uchiyama; Y Okada
Journal:  Neuroradiol J       Date:  2013-08-27

6.  Longitudinal Volume Quantification of Deep Medullary Veins in Patients with Cerebral Venous Sinus Thrombosis : Venous Volume Assessment in Cerebral Venous Sinus Thrombosis Using SWI.

Authors:  A K Dempfle; A Harloff; F Schuchardt; J Bäuerle; S Yang; H Urbach; K Egger
Journal:  Clin Neuroradiol       Date:  2017-06-06       Impact factor: 3.649

7.  Should Magnetic Resonance Venography be Performed Routinely in all Patients Undergoing Evaluation for Idiopathic Intracranial Hypertension?

Authors:  Marc Dinkin; Heather E Moss
Journal:  J Neuroophthalmol       Date:  2015-12       Impact factor: 3.042

8.  Unilateral transverse sinus stenting of patients with idiopathic intracranial hypertension.

Authors:  M Bussière; R Falero; D Nicolle; A Proulx; V Patel; D Pelz
Journal:  AJNR Am J Neuroradiol       Date:  2009-11-26       Impact factor: 3.825

9.  Automated Cross-Sectional Measurement Method of Intracranial Dural Venous Sinuses.

Authors:  S Lublinsky; A Friedman; A Kesler; D Zur; R Anconina; I Shelef
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-12       Impact factor: 3.825

10.  Intra- and Extracranial MR Venography: Technical Notes, Clinical Application, and Imaging Development.

Authors:  M Paoletti; G Germani; R De Icco; C Asteggiano; P Zamboni; S Bastianello
Journal:  Behav Neurol       Date:  2016-05-31       Impact factor: 3.342

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