References
- Polman CH , ReingoldSC, BanwellBet al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria . Ann. Neurol.69, 292 – 302 ( 2011 ).
- Rovira À , WattjesMP, TintoréMet al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process . Nat. Rev. Neurol.11, 471 – 482 ( 2015 ).
- Filippi M , RoccaMA, CiccarelliOet al. MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines . Lancet Neurol.15, 292 – 303 ( 2016 ).
- Charil A , YousryTA, RovarisMet al. MRI and the diagnosis of multiple sclerosis: expanding the concept of “no better explanation” . Lancet Neurol.5, 841 – 852 ( 2006 ).
- Miller DH , WeinshenkerBG, FilippiMet al. Differential diagnosis of suspected multiple sclerosis: a consensus approach . Mult. Scler.14, 1157 – 1174 ( 2008 ).
- Noseworthy JH , LucchinettiC, RodriguezM, WeinshenkerBG . Multiple sclerosis . N. Engl. J. Med.343, 938 – 952 ( 2000 ).
- Bot JC , BarkhofF, LycklamaÀ, NijeholtGet al. Differentiation of multiple sclerosis from other inflammatory disorders and cerebrovascular disease: value of spinal MR imaging . Radiology223, 46 – 56 ( 2002 ).
- Fisniku LK , BrexPA, AltmannDRet al. Disability and T2 MRI lesions: a 20-year follow-up of patients with relapse onset of multiple sclerosis . Brain131, 808 – 817 ( 2008 ).
- Tintore M , RoviraÀ, RíoJet al. Defining high, medium and low impact prognostic factors for developing multiple sclerosis . Brain138, 1863 – 1874 ( 2015 ).
- Minneboo A , BarkhofF, PolmanCH, UitdehaagBM, KnolDL, CastelijnsJA . Infratentorial lesions predict long-term disability in patients with initial findings suggestive of multiple sclerosis . Arch. Neurol.61, 217 – 221 ( 2004 ).
- Sormani MP , BruzziP . MRI lesions as a surrogate for relapses in multiple sclerosis: a meta-analysis of randomised trials . Lancet Neurol.12, 669 – 676 ( 2013 ).
- Sormani MP , De StefanoN . Defining and scoring response to IFN-β in multiple sclerosis . Nat. Rev. Neurol.9, 504 – 512 ( 2013 ).
- Sormani MP , RioJ, TintorèMet al. Scoring treatment response in patients with relapsing multiple sclerosis . Mult. Scler.19, 605 – 612 ( 2013 ).
- Wattjes MP , RoviraÀ, MillerDet al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis – establishing disease prognosis and monitoring patients . Nat. Rev. Neurol.11, 597 – 606 ( 2015 ).
- De Stefano N , GiorgioA, BattagliniMet al. Assessing brain atrophy rates in a large population of untreated multiple sclerosis subtypes . Neurology74, 1868 – 1876 ( 2010 ).
- Calabrese M , AgostaF, RinaldiFet al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis . Ann. Neurol.66, 1144 – 1150 ( 2009 ).
- Fisher E , LeeJC, NakamuraK, RudickRA . Gray matter atrophy in multiple sclerosis: a longitudinal study . Ann. Neurol.64, 255 – 265 ( 2008 ).
- Popescu V , AgostaF, HulstHEet al. Brain atrophy and lesion load predict long term disability in multiple sclerosis . J. Neurol. Neurosurg. Psychiatry84, 1082 – 1091 ( 2013 ).
- Sormani MP , ArnoldDL, De StefanoN . Treatment effect on brain atrophy correlates with treatment effect on disability in multiple sclerosis . Ann. Neurol.75, 43 – 49 ( 2014 ).
- De Stefano N , StromilloML, GiorgioAet al. Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis . J. Neurol. Neurosurg. Psychiatry87, 93 – 99 ( 2016 ).
- Schippling S , OstwaldtAC, SuppaPet al. Global and regional annual brain volume loss rates in physiological aging . J. Neurol.264, 520 – 528 ( 2017 ).