Literature DB >> 17425727

Conventional MRI in multiple sclerosis.

Massimo Filippi1, Maria A Rocca.   

Abstract

During the past 10 years, conventional magnetic resonance imaging (cMRI) has become an established tool for the assessment of patients with multiple sclerosis (MS) and to monitor treatment trials. This is mainly due to the sensitivity and reproducibility of cMRI in the detection of MS-related damage. A large effort has also been devoted to develop imaging strategies capable of providing accurate estimates of the extent of disease-related damage not only in the brain, but also in the spinal cord and optic nerve. Guidelines have been defined to integrate MR findings in the diagnostic evaluation of patients at presentation with clinically isolated syndromes suggestive of MS, and specific acquisition protocols have been offered for monitoring longitudinal changes in patients with established disease. Despite the fact that the role of cMRI in MS has been profoundly obviated by the advent of modern and quantitative MR techniques, several issues are still unresolved. Technical development in acquisition and postprocessing, as well as the introduction of high-field magnets in the clinical arena, are likely to increase our understanding of disease pathobiology, mainly through an increased ability to quantify the extent of gray matter damage.

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Year:  2007        PMID: 17425727     DOI: 10.1111/j.1552-6569.2007.00129.x

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  14 in total

1.  Overcoming the clinical-MR imaging paradox of multiple sclerosis: MR imaging data assessed with a random forest approach.

Authors:  K Kacar; M A Rocca; M Copetti; S Sala; S Mesaros; T Stosic Opincal; D Caputo; M Absinta; J Drulovic; V S Kostic; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2011-11-11       Impact factor: 3.825

Review 2.  Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis.

Authors:  Ranjan Dutta; Bruce D Trapp
Journal:  Prog Neurobiol       Date:  2010-10-12       Impact factor: 11.685

Review 3.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

Review 4.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

5.  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

Review 6.  The current role of MRI in differentiating multiple sclerosis from its imaging mimics.

Authors:  Ruth Geraldes; Olga Ciccarelli; Frederik Barkhof; Nicola De Stefano; Christian Enzinger; Massimo Filippi; Monika Hofer; Friedemann Paul; Paolo Preziosa; Alex Rovira; Gabriele C DeLuca; Ludwig Kappos; Tarek Yousry; Franz Fazekas; Jette Frederiksen; Claudio Gasperini; Jaume Sastre-Garriga; Nikos Evangelou; Jacqueline Palace
Journal:  Nat Rev Neurol       Date:  2018-03-09       Impact factor: 42.937

7.  Ultrashort echo time (UTE) magnetic resonance imaging of myelin: technical developments and challenges.

Authors:  Ya-Jun Ma; Hyungseok Jang; Eric Y Chang; Annie Hiniker; Brian P Head; Roland R Lee; Jody Corey-Bloom; Graeme M Bydder; Jiang Du
Journal:  Quant Imaging Med Surg       Date:  2020-06

Review 8.  Magnetic Resonance Imaging in Multiple Sclerosis.

Authors:  Christopher C Hemond; Rohit Bakshi
Journal:  Cold Spring Harb Perspect Med       Date:  2018-05-01       Impact factor: 6.915

9.  Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS. A large scale, short-term follow-up study.

Authors:  Sarlota Mesaros; Maria A Rocca; Maria P Sormani; Arnaud Charil; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2008-07-03       Impact factor: 4.849

10.  Imaging correlates of leukocyte accumulation and CXCR4/CXCL12 in multiple sclerosis.

Authors:  Natalia M Moll; Michael B Cossoy; Elizabeth Fisher; Susan M Staugaitis; Barbara H Tucky; Anna M Rietsch; Ansi Chang; Robert J Fox; Bruce D Trapp; Richard M Ransohoff
Journal:  Arch Neurol       Date:  2009-01
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