Literature DB >> 26966086

The effect of venous anatomy on the morphology of multiple sclerosis lesions: a susceptibility-weighted imaging study.

B Öztoprak1, I Öztoprak2, Ö K Yıldız3.   

Abstract

AIM: To investigate the cause of morphology in non-ovoid multiple sclerosis (MS) lesions lacking a radial course and typical shape.
MATERIALS AND METHODS: Non-ovoid atypical lesions without perpendicular extensions to the ventricle were investigated in 95 MS patients by retrospective examination of T2-weighted and fluid-attenuated inversion recovery (FLAIR) images. The relationship between the morphology of these atypical lesions detected in 38 patients and central vein anatomy was examined using susceptibility-weighted imaging (SWI).
RESULTS: A central venous structure was observed in 107 (65.6%) of 163 atypical lesions in 38 patients. The distribution of atypical lesions grouped by their shape was as follows: (1) V- or Y-shaped lesions (n=27, 48.6%) were observed where veins bifurcated; (2) crescent-shaped lesions (n=9, 8.4%) were observed where veins formed an arc; (3) patchy lesions comprised 48.6% (n=52) of the atypical lesions and involved multiple medullary veins or medullary veins showing a "caput medusae" distribution; (4) ovoid lesions with a non-radial course (n=19, 17.7%) were generally observed where medullary veins converged to form internal cerebral vein branches.
CONCLUSION: Unlike typical MS plaques, non-ovoid atypical lesions make the differential diagnosis of MS challenging. Demonstration of the relationship between venous anatomy and lesion morphology in atypical lesions using SWI will aid in the differential diagnosis.
Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26966086     DOI: 10.1016/j.crad.2016.02.005

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

Authors:  Salil Soman; Jose A Bregni; Berkin Bilgic; Ursula Nemec; Audrey Fan; Zhe Liu; Robert L Barry; Jiang Du; Keith Main; Jerome Yesavage; Maheen M Adamson; Michael Moseley; Yi Wang
Journal:  Curr Radiol Rep       Date:  2017-02-14

2.  Multiple sclerosis: High prevalence of the 'central vein' sign in white matter lesions on susceptibility-weighted images.

Authors:  Gianvincenzo Sparacia; Francesco Agnello; Angelo Gambino; Martina Sciortino; Massimo Midiri
Journal:  Neuroradiol J       Date:  2018-03-22

3.  Characterization of thalamic lesions and their correlates in multiple sclerosis by ultra-high-field MRI.

Authors:  Ambica Mehndiratta; Constantina A Treaba; Valeria Barletta; Elena Herranz; Russell Ouellette; Jacob A Sloane; Eric C Klawiter; Revere P Kinkel; Caterina Mainero
Journal:  Mult Scler       Date:  2020-06-25       Impact factor: 6.312

4.  Developmental venous anomalies in patients with multiple sclerosis: is that a coincidence or an ancillary finding?

Authors:  Irene Grazzini; Benedetta Calchetti; Gian Luca Cuneo
Journal:  Neurol Sci       Date:  2020-10-21       Impact factor: 3.307

5.  Multiple sclerosis: prevalence of the 'central vein' sign in white matter lesions on gadolinium-enhanced susceptibility-weighted images.

Authors:  Gianvincenzo Sparacia; Francesco Agnello; Alberto Iaia; Aurelia Banco; Massimo Galia; Massimo Midiri
Journal:  Neuroradiol J       Date:  2021-04-19

6.  Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis.

Authors:  Alina Lopatina; Stefan Ropele; Renat Sibgatulin; Jürgen R Reichenbach; Daniel Güllmar
Journal:  Front Neurosci       Date:  2020-12-18       Impact factor: 4.677

7.  The "Central Vein Sign" on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data.

Authors:  Chong Hyun Suh; Sang Joon Kim; Seung Chai Jung; Choong Gon Choi; Ho Sung Kim
Journal:  Sci Rep       Date:  2019-12-03       Impact factor: 4.379

  7 in total

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