Literature DB >> 16385016

Magnetic resonance imaging monitoring of multiple sclerosis lesion evolution.

Matilde Inglese1, Robert I Grossman, Massimo Filippi.   

Abstract

The characteristic feature of multiple sclerosis (MS) pathology is the demyelinated plaque distributed throughout the central nervous system. Although MS is a primary demyelinating disease, acute axonal injury is common in actively demyelinating MS lesions and it is considered one of the major determinants of neurological deficit. Magnetic resonance imaging (MRI) has had a dramatic impact on MS in both the clinical practice and basic science settings. Techniques such as T2-weighted and gadolinium-enhanced T1-weighted MRI are very sensitive in detecting lesions and, thus, increase the level of certainty of MS diagnosis. Conventional MRI has also improved our understanding of the pathogenesis of the disease and has provided objective and reliable measures to monitor the effect of experimental treatments in clinical trials. However, conventional MRI does not provide specific information on the heterogeneous pathologic substrate of MS lesions. Advanced MRI techniques, such as magnetization transfer imaging, diffusion tensor imaging, and proton MR spectroscopy, offer the unprecedented ability to observe and quantify pathological changes in lesions and normal-appearing brain tissue over time. The present review will discuss the major contributions of conventional MRI and quantitative MRI techniques to understand how individual MS lesions evolve.

Entities:  

Mesh:

Year:  2005        PMID: 16385016     DOI: 10.1177/1051228405282243

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


  9 in total

Review 1.  Magnetic resonance spectroscopy in the monitoring of multiple sclerosis.

Authors:  Ponnada A Narayana
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

2.  Fiber density index in the evaluation of the spinal cord in patients with multiple sclerosis.

Authors:  M Ukmar; A Montalbano; E Makuc; I Specogna; A Bratina; R Longo; M A Cova
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

3.  Volume and shape in feature space on adaptive FCM in MRI segmentation.

Authors:  Renjie He; Balasrinivasa Rao Sajja; Sushmita Datta; Ponnada A Narayana
Journal:  Ann Biomed Eng       Date:  2008-06-24       Impact factor: 3.934

4.  Generalized fuzzy clustering for segmentation of multi-spectral magnetic resonance images.

Authors:  Renjie He; Sushmita Datta; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  Comput Med Imaging Graph       Date:  2008-04-02       Impact factor: 4.790

5.  Brain and retinal atrophy in African-Americans versus Caucasian-Americans with multiple sclerosis: a longitudinal study.

Authors:  Natalia Gonzalez Caldito; Shiv Saidha; Elias S Sotirchos; Blake E Dewey; Norah J Cowley; Jeffrey Glaister; Kathryn C Fitzgerald; Omar Al-Louzi; James Nguyen; Alissa Rothman; Esther Ogbuokiri; Nicholas Fioravante; Sydney Feldman; Ohemaa Kwakyi; Hunter Risher; Dorlan Kimbrough; Teresa C Frohman; Elliot Frohman; Laura Balcer; Ciprian Crainiceanu; Peter C M Van Zijl; Ellen M Mowry; Daniel S Reich; Jiwon Oh; Dzung L Pham; Jerry Prince; Peter A Calabresi
Journal:  Brain       Date:  2018-11-01       Impact factor: 13.501

6.  Neuroradiological evaluation of demyelinating disease.

Authors:  Jan-Mendelt Tillema; Istvan Pirko
Journal:  Ther Adv Neurol Disord       Date:  2013-07       Impact factor: 6.570

Review 7.  The role of glial cells in multiple sclerosis disease progression.

Authors:  Luke M Healy; Jo Anne Stratton; Tanja Kuhlmann; Jack Antel
Journal:  Nat Rev Neurol       Date:  2022-02-21       Impact factor: 44.711

8.  Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study.

Authors:  C C Quattrocchi; A Cherubini; G Luccichenti; M G Grasso; U Nocentini; B Beomonte Zobel; U Sabatini
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

9.  Increase in Ventricle Size and the Evolution of White Matter Changes on Serial Imaging in Critically Ill Patients with COVID-19.

Authors:  Shashank Agarwal; Kara Melmed; Siddhant Dogra; Rajan Jain; Jenna Conway; Steven Galetta; Ariane Lewis
Journal:  Neurocrit Care       Date:  2021-03-05       Impact factor: 3.210

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.