Literature DB >> 27834394

The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

Pascal Sati1, Jiwon Oh2,3, R Todd Constable4, Nikos Evangelou5, Charles R G Guttmann6, Roland G Henry7, Eric C Klawiter8, Caterina Mainero9, Luca Massacesi10, Henry McFarland1, Flavia Nelson11, Daniel Ontaneda12, Alexander Rauscher13, William D Rooney14, Amal P R Samaraweera5, Russell T Shinohara15, Raymond A Sobel16, Andrew J Solomon17, Constantina A Treaba9, Jens Wuerfel18, Robert Zivadinov19, Nancy L Sicotte20, Daniel Pelletier21, Daniel S Reich1.   

Abstract

Over the past few years, MRI has become an indispensable tool for diagnosing multiple sclerosis (MS). However, the current MRI criteria for MS diagnosis have imperfect sensitivity and specificity. The central vein sign (CVS) has recently been proposed as a novel MRI biomarker to improve the accuracy and speed of MS diagnosis. Evidence indicates that the presence of the CVS in individual lesions can accurately differentiate MS from other diseases that mimic this condition. However, the predictive value of the CVS for the development of clinical MS in patients with suspected demyelinating disease is still unknown. Moreover, the lack of standardization for the definition and imaging of the CVS currently limits its clinical implementation and validation. On the basis of a thorough review of the existing literature on the CVS and the consensus opinion of the members of the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative, this article provides statements and recommendations aimed at helping radiologists and neurologists to better understand, refine, standardize and evaluate the CVS in the diagnosis of MS.

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Year:  2016        PMID: 27834394     DOI: 10.1038/nrneurol.2016.166

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   42.937


  62 in total

1.  Susceptibility weighted imaging with multiple echoes.

Authors:  Christian Denk; Alexander Rauscher
Journal:  J Magn Reson Imaging       Date:  2010-01       Impact factor: 4.813

2.  Veins in plaques of multiple sclerosis patients - a longitudinal magnetic resonance imaging study at 7 Tesla.

Authors:  Assunta Dal-Bianco; Simon Hametner; Günther Grabner; Melanie Schernthaner; Claudia Kronnerwetter; Andreas Reitner; Clemens Vass; Karl Kircher; Eduard Auff; Fritz Leutmezer; Karl Vass; Siegfried Trattnig
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

3.  The contemporary spectrum of multiple sclerosis misdiagnosis: A multicenter study.

Authors:  Andrew J Solomon; Dennis N Bourdette; Anne H Cross; Angela Applebee; Philip M Skidd; Diantha B Howard; Rebecca I Spain; Michelle H Cameron; Edward Kim; Michele K Mass; Vijayshree Yadav; Ruth H Whitham; Erin E Longbrake; Robert T Naismith; Gregory F Wu; Becky J Parks; Dean M Wingerchuk; Brian L Rabin; Michel Toledano; W Oliver Tobin; Orhun H Kantarci; Jonathan L Carter; B Mark Keegan; Brian G Weinshenker
Journal:  Neurology       Date:  2016-08-31       Impact factor: 9.910

4.  Application of the 2010 McDonald criteria for the diagnosis of multiple sclerosis in a Spanish cohort of patients with clinically isolated syndromes.

Authors:  M Gómez-Moreno; M Díaz-Sánchez; A Ramos-González
Journal:  Mult Scler       Date:  2011-08-24       Impact factor: 6.312

5.  Presence of a central vein within white matter lesions on susceptibility weighted imaging: a specific finding for multiple sclerosis?

Authors:  Nina Lummel; Tobias Boeckh-Behrens; Veronika Schoepf; Michael Burke; Hartmut Brückmann; Jennifer Linn
Journal:  Neuroradiology       Date:  2010-06-29       Impact factor: 2.804

6.  Lipid profiles are associated with lesion formation over 24 months in interferon-β treated patients following the first demyelinating event.

Authors:  Bianca Weinstock-Guttman; Robert Zivadinov; Dana Horakova; Eva Havrdova; Jun Qu; Grace Shyh; Elizabeth Lakota; Kerri O'Connor; Darlene Badgett; Miriam Tamaño-Blanco; Michaela Tyblova; Sara Hussein; Niels Bergsland; Laura Willis; Jan Krasensky; Manuela Vaneckova; Zdenek Seidl; Murali Ramanathan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2013-04-17       Impact factor: 10.154

7.  Ultrahigh-Field MR (7 T) Imaging of Brain Lesions in Neuromyelitis Optica.

Authors:  Ilya Kister; Joseph Herbert; Yongxia Zhou; Yulin Ge
Journal:  Mult Scler Int       Date:  2013-01-27

8.  Venocentric Lesions: An MRI Marker of MS?

Authors:  Matthew P Quinn; Marcelo Kremenchutzky; Ravi S Menon
Journal:  Front Neurol       Date:  2013-07-22       Impact factor: 4.003

9.  SWI enhances vein detection using gadolinium in multiple sclerosis.

Authors:  Pietro Maggi; Lorenzo N Mazzoni; Marco Moretti; Matteo Grammatico; Stefano Chiti; Luca Massacesi
Journal:  Acta Radiol Open       Date:  2015-03-18

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  72 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions.

Authors:  J D Dworkin; P Sati; A Solomon; D L Pham; R Watts; M L Martin; D Ontaneda; M K Schindler; D S Reich; R T Shinohara
Journal:  AJNR Am J Neuroradiol       Date:  2018-09-13       Impact factor: 3.825

Review 3.  The tension between early diagnosis and misdiagnosis of multiple sclerosis.

Authors:  Andrew J Solomon; John R Corboy
Journal:  Nat Rev Neurol       Date:  2017-08-11       Impact factor: 42.937

Review 4.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

Review 5.  Multiple sclerosis.

Authors:  Massimo Filippi; Amit Bar-Or; Fredrik Piehl; Paolo Preziosa; Alessandra Solari; Sandra Vukusic; Maria A Rocca
Journal:  Nat Rev Dis Primers       Date:  2018-11-08       Impact factor: 52.329

6.  Spatial distribution of multiple sclerosis lesions in the cervical spinal cord.

Authors:  Dominique Eden; Charley Gros; Atef Badji; Sara M Dupont; Benjamin De Leener; Josefina Maranzano; Ren Zhuoquiong; Yaou Liu; Tobias Granberg; Russell Ouellette; Leszek Stawiarz; Jan Hillert; Jason Talbott; Elise Bannier; Anne Kerbrat; Gilles Edan; Pierre Labauge; Virginie Callot; Jean Pelletier; Bertrand Audoin; Henitsoa Rasoanandrianina; Jean-Christophe Brisset; Paola Valsasina; Maria A Rocca; Massimo Filippi; Rohit Bakshi; Shahamat Tauhid; Ferran Prados; Marios Yiannakas; Hugh Kearney; Olga Ciccarelli; Seth A Smith; Constantina Andrada Treaba; Caterina Mainero; Jennifer Lefeuvre; Daniel S Reich; Govind Nair; Timothy M Shepherd; Erik Charlson; Yasuhiko Tachibana; Masaaki Hori; Kouhei Kamiya; Lydia Chougar; Sridar Narayanan; Julien Cohen-Adad
Journal:  Brain       Date:  2019-03-01       Impact factor: 13.501

7.  The "central vein sign" in patients with diagnostic "red flags" for multiple sclerosis: A prospective multicenter 3T study.

Authors:  Pietro Maggi; Martina Absinta; Pascal Sati; Gaetano Perrotta; Luca Massacesi; Bernard Dachy; Caroline Pot; Reto Meuli; Daniel S Reich; Massimo Filippi; Renaud Du Pasquier; Marie Théaudin
Journal:  Mult Scler       Date:  2019-09-19       Impact factor: 6.312

8.  Bone susceptibility mapping with MRI is an alternative and reliable biomarker of osteoporosis in postmenopausal women.

Authors:  Yanjun Chen; Yihao Guo; Xintao Zhang; Yingjie Mei; Yanqiu Feng; Xiaodong Zhang
Journal:  Eur Radiol       Date:  2018-06-12       Impact factor: 5.315

Review 9.  Clinical applications of ultra-high field magnetic resonance imaging in multiple sclerosis.

Authors:  Matilde Inglese; Lazar Fleysher; Niels Oesingmann; Maria Petracca
Journal:  Expert Rev Neurother       Date:  2018-01-30       Impact factor: 4.618

10.  Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.

Authors:  M Absinta; P Sati; A Fechner; M K Schindler; G Nair; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-03       Impact factor: 3.825

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