Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Rovaris, M; Barkhof, F; Calabrese, M; De Stefano, N; Fazekas, F; Miller, DH; Montalban, X; Polman, C; Rocca, MA; Thompson, AJ; Yousry, TA; Filippi, M.
MRI features of benign multiple sclerosis: toward a new definition of this disease phenotype.
Neurology. 2009; 72(19):1693-1701 Doi: 10.1212/WNL.0b013e3181a55feb
Web of Science PubMed FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Fazekas Franz
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
It is well known that the current classification of patients with benign multiple sclerosis (BMS), i.e., those with absent or minimal locomotor disability several years after disease onset, suffers from not having any prognostic value for the subsequent evolution of multiple sclerosis (MS). The identification of markers predictive of the longer-term course of MS will help define BMS more reliably and would allow better counseling of patients, particularly when advising on the initiation of a disease-modifying treatment. MRI-based evidence suggests that there are three potential, but not mutually exclusive, explanations for the scarce clinical impact of BMS: 1) the paucity of tissue damage within and outside MS lesions; 2) the relative sparing of clinically eloquent regions; and 3) the presence of effective compensatory mechanisms. In addition, the results of correlative MRI/neuropsychology studies underpin the need for a new definition of BMS, which should consider the maintenance of a normal cognitive profile as an additional criterion.
Find related publications in this database (using NLM MeSH Indexing)
Biological Markers - analysis
Central Nervous System - pathology
Cognition Disorders - diagnosis
Disease Progression -
Humans -
Magnetic Resonance Imaging - methods
Multiple Sclerosis - classification
Neuronal Plasticity - physiology
Phenotype -
Severity of Illness Index -

© Med Uni Graz Impressum