Literature DB >> 16973778

It's not a cervical lymph node, it's a vein: CT and MR imaging findings in the veins of the head and neck.

Edward J Escott1, Barton F Branstetter.   

Abstract

The anatomy and imaging appearances of the veins of the head and neck can vary considerably, and normal veins may mimic disease processes at computed tomography (CT) and magnetic resonance (MR) imaging. On unenhanced CT scans, aberrant veins may be difficult to differentiate from lymph nodes or other pathologic conditions. Even at contrast material-enhanced CT, differences in venous enhancement or the mixing of opacified with nonopacified blood can lead to confusion, particularly if the vein is focally dilated. Similarly, the size and signal intensity of head and neck veins may vary at MR imaging due to slow or turbulent flow or variable enhancement, resulting in misdiagnosis. A thorough understanding of the normal venous anatomy and common variants is necessary to properly differentiate an unopacified or focally dilated vein from lymphadenopathy or some other disease entity and can help the radiologist avoid the erroneous interpretation of findings. Copyright RSNA, 2006.

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Mesh:

Year:  2006        PMID: 16973778     DOI: 10.1148/rg.265055728

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  9 in total

1.  Value of MR venography for detection of internal jugular vein anomalies in multiple sclerosis: a pilot longitudinal study.

Authors:  R Zivadinov; R Galeotti; D Hojnacki; E Menegatti; M G Dwyer; C Schirda; A M Malagoni; K Marr; C Kennedy; I Bartolomei; C Magnano; F Salvi; B Weinstock-Guttman; P Zamboni
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-07       Impact factor: 3.825

2.  Extracranial Venous abnormalities: A true pathological finding in patients with multiple sclerosis or an anatomical variant?

Authors:  Carlos Torres; Matthew Hogan; Satya Patro; Santanu Chakraborty; Thanh Nguyen; Rebecca Thornhill; Mark Freedman; Miguel Bussiere; Hamid Dabirzadeh; Betty Anne Schwarz; Stefanie Belanger; Lysa Legault-Kingstone; Mark Schweitzer; Cheemun Lum
Journal:  Eur Radiol       Date:  2016-03-24       Impact factor: 5.315

3.  A comparative study of magnetic resonance venography techniques for the evaluation of the internal jugular veins in multiple sclerosis patients.

Authors:  M Tamizur Rahman; Sean K Sethi; David T Utriainen; J Joseph Hewett; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2013-07-12       Impact factor: 2.546

4.  Reflux venous flow in dural sinus and internal jugular vein on 3D time-of-flight MR angiography.

Authors:  Jinhee Jang; Bum-Soo Kim; Bom-Yi Kim; Hyun Seok Choi; So-Lyung Jung; Kook-Jin Ahn; Jae Young Byun
Journal:  Neuroradiology       Date:  2013-07-19       Impact factor: 2.804

Review 5.  The role of noninvasive and invasive diagnostic imaging techniques for detection of extra-cranial venous system anomalies and developmental variants.

Authors:  Kresimir Dolic; Adnan H Siddiqui; Yuval Karmon; Karen Marr; Robert Zivadinov
Journal:  BMC Med       Date:  2013-06-27       Impact factor: 8.775

6.  Brachiocephalic Venous Aneurysm Mimicking Metastatic Cervical Lymphadenopathy in a Patient with Gastric Cancer: A Case Report.

Authors:  Min Jung Ryu; Jae-Kwang Lim; Hoseok Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-07-30

Review 7.  Potential involvement of the extracranial venous system in central nervous system disorders and aging.

Authors:  Robert Zivadinov; Chih-Ping Chung
Journal:  BMC Med       Date:  2013-12-17       Impact factor: 8.775

8.  Cross-sectional area variations of internal jugular veins during supine head rotation in multiple sclerosis patients with chronic cerebrospinal venous insufficiency: a prospective diagnostic controlled study with duplex ultrasound investigation.

Authors:  Massimiliano Farina; Eugenio Novelli; Raffaello Pagani
Journal:  BMC Neurol       Date:  2013-11-05       Impact factor: 2.474

9.  Assessment of Internal Jugular Vein Size in Healthy Subjects with Magnetic Resonance and Semiautomatic Processing.

Authors:  M M Laganà; L Pelizzari; E Scaccianoce; O Dipasquale; C Ricci; F Baglio; P Cecconi; G Baselli
Journal:  Behav Neurol       Date:  2016-02-29       Impact factor: 3.342

  9 in total

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