MRI in multiple sclerosis: what is changing?

被引:25
|
作者
Filippi, Massimo [1 ]
Preziosa, Paolo [1 ]
Rocca, Maria A. [1 ]
机构
[1] Univ Vita Salute San Raffaele, San Raffaele Sci Inst, Div Neurosci, Neuroimaging Res Unit,Inst Expt Neurol, Via Olgettina 60, I-20132 Milan, Italy
关键词
diagnosis; MRI; multiple sclerosis; pathophysiology; treatment monitoring; CENTRAL VEIN SIGN; CLINICALLY ISOLATED SYNDROME; BRAIN SODIUM ACCUMULATION; EVIDENT DISEASE-ACTIVITY; WHITE-MATTER LESIONS; MYELIN WATER; DIAGNOSTIC-CRITERIA; FUNCTIONAL CONNECTIVITY; MENINGEAL INFLAMMATION; MICROGLIAL ACTIVATION;
D O I
10.1097/WCO.0000000000000572
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose of review To summarize recent findings from the application of MRI in the diagnostic work-up of patients with suspected multiple sclerosis (MS), and to review the insights into disease pathophysiology and the utility of MRI for monitoring treatment response. Recent findings New evidence from the application of MRI in patients with clinically isolated syndromes has guided the 2017 revision of the McDonald criteria for MS diagnosis, which has simplified their clinical use while preserving accuracy. Other MRI measures (e.g., cortical lesions and central vein signs) may improve diagnostic specificity, but their assessment still needs to be standardized, and their reliability confirmed. Novel MRI techniques are providing fundamental insights into the pathological substrates of the disease and are helping to give a better understanding of its clinical manifestations. Combined clinical-MRI measures of disease activity and progression, together with the use of clinically relevant MRI measures (e.g., brain atrophy) might improve treatment monitoring, but these are still not ready for the clinical setting. Summary Advances in MRI technology are improving the diagnostic work-up and monitoring of MS, even in the earliest phases of the disease, and are providing MRI measures that are more specific and sensitive to disease pathological substrates.
引用
收藏
页码:386 / 395
页数:10
相关论文
共 50 条
  • [31] MRI Correlates of Cognitive Impairment in Childhood-Onset Multiple Sclerosis
    Till, C.
    Ghassemi, R.
    Aubert-Broche, B.
    Kerbrat, A.
    Collins, D. L.
    Narayanan, S.
    Arnold, D. L.
    Desrocher, M.
    Sled, J. G.
    Banwell, B. L.
    NEUROPSYCHOLOGY, 2011, 25 (03) : 319 - 332
  • [32] Association of cognitive impairment and lesion volumes in multiple sclerosis - A MRI study
    Yildiz, Murat
    Tettenborn, Barbara
    Radue, Ernst-Wilhelm
    Bendfeldt, Kerstin
    Borgwardt, Stefan
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2014, 127 : 54 - 58
  • [33] Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding
    Cabezas, Mariano
    Oliver, Arnau
    Roura, Eloy
    Freixenet, Jordi
    Vilanova, Joan C.
    Ramio-Torrenta, Lluis
    Rovira, Alex
    Llado, Xavier
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2014, 115 (03) : 147 - 161
  • [34] Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis
    De Rosa, Alessandro Pasquale
    Benedetto, Marco
    Tagliaferri, Stefano
    Bardozzo, Francesco
    D'Ambrosio, Alessandro
    Bisecco, Alvino
    Gallo, Antonio
    Cirillo, Mario
    Tagliaferri, Roberto
    Esposito, Fabrizio
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [35] Brain and Spinal Cord MRI Findings in Thai Multiple Sclerosis Patients
    Lopaisankrit, Thippayaporn
    Thammaroj, Jureerat
    JOURNAL OF IMAGING, 2023, 9 (02)
  • [36] Clinical, MRI, CSF and electrophysiological findings in different stages of multiple sclerosis
    Rot, U
    Mesec, A
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2006, 108 (03) : 271 - 274
  • [37] Reproducibility of Lesion Count in Various Subregions on MRI Scans in Multiple Sclerosis
    Bozsik, Bence
    Toth, Eszter
    Polyak, Ilona
    Kerekes, Fanni
    Szabo, Nikoletta
    Bencsik, Krisztina
    Klivenyi, Peter
    Kincses, Zsigmond Tamas
    FRONTIERS IN NEUROLOGY, 2022, 13
  • [38] MRI and visual-evoked potentials in partners of multiple sclerosis patients
    Hawkes, C. H.
    Chawda, S.
    Derakshani, S.
    Muhammed, N.
    Visentin, E.
    Boniface, D.
    ACTA NEUROLOGICA SCANDINAVICA, 2012, 125 (06): : 424 - 430
  • [39] MRI in multiple sclerosis: clinical and research update
    Inglese, Matilde
    Petracca, Maria
    CURRENT OPINION IN NEUROLOGY, 2018, 31 (03) : 249 - 255
  • [40] Emerging MRI biomarkers for the diagnosis of multiple sclerosis
    Maggi, Pietro
    Absinta, Martina
    MULTIPLE SCLEROSIS JOURNAL, 2024, 30 (14) : 1704 - 1713