Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis

被引:69
|
作者
Bonnier, Guillaume [1 ,2 ,3 ,4 ,5 ]
Roche, Alexis [1 ,4 ,5 ,6 ]
Romascano, David [1 ,5 ]
Simioni, Samanta [2 ,3 ,4 ]
Meskaldji, Djalel [5 ]
Rotzinger, David [4 ,6 ]
Lin, Ying-Chia [7 ]
Menegaz, Gloria [7 ]
Schluep, Myriam [2 ,3 ,4 ]
Du Pasquier, Renaud [2 ,3 ,4 ]
Sumpf, Tilman Johannes [8 ]
Frahm, Jens [8 ]
Thiran, Jean-Philippe [5 ]
Krueger, Gunnar [1 ,9 ]
Granziera, Cristina [1 ,2 ,3 ,4 ,5 ]
机构
[1] Siemens Healthcare IM BM PI, Adv Clin Imaging Technol Grp, Lausanne, Switzerland
[2] CHU Vaudois, Dept Clin Neurosci, Div Neurol, Neuroimmunol, Lausanne, Switzerland
[3] CHU Vaudois, Dept Clin Neurosci, Div Neurol, Lab Rech Neuroimagerie, Lausanne, Switzerland
[4] Univ Lausanne, Lausanne, Switzerland
[5] Ecole Polytech Fed Lausanne, LTS5, Lausanne, Switzerland
[6] CHU Vaudois, Dept Radiol, Lausanne, Switzerland
[7] Univ Verona, Dept Comp Sci, Verona, Italy
[8] Max Planck Inst Biophys Chem, Biomed NMR Forsch GmbH, Gottingen, Germany
[9] Siemens Schweiz AG, Healthcare Sect IM&WS S, Renens, Switzerland
来源
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY | 2014年 / 1卷 / 06期
基金
瑞士国家科学基金会;
关键词
D O I
10.1002/acn3.68
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: In patients with multiple sclerosis (MS), conventional magnetic resonance imaging (MRI) provides only limited insights into the nature of brain damage with modest clinic-radiological correlation. In this study, we applied recent advances in MRI techniques to study brain microstructural alterations in early relapsing-remitting MS (RRMS) patients with minor deficits. Further, we investigated the potential use of advanced MRI to predict functional performances in these patients. Methods: Brain relaxometry (T1, T2, T2*) and magnetization transfer MRI were performed at 3T in 36 RRMS patients and 18 healthy controls (HC). Multicontrast analysis was used to assess for microstructural alterations in normal-appearing (NA) tissue and lesions. A generalized linear model was computed to predict clinical performance in patients using multicontrast MRI data, conventional MRI measures as well as demographic and behavioral data as covariates. Results: Quantitative T2 and T2* relaxometry were significantly increased in temporal normal-appearing white matter (NAWM) of patients compared to HC, indicating subtle microedema (P = 0.03 and 0.004). Furthermore, significant T1 and magnetization transfer ratio (MTR) variations in lesions (mean T1 z-score: 4.42 and mean MTR z-score: -4.09) suggested substantial tissue loss. Combinations of multicontrast and conventional MRI data significantly predicted cognitive fatigue (P = 0.01, Adj-R-2 = 0.4), attention (P = 0.0005, Adj-R-2 = 0.6), and disability (P = 0.03, Adj-R-2 = 0.4). Conclusion: Advanced MRI techniques at 3T, unraveled the nature of brain tissue damage in early MS and substantially improved clinical-radiological correlations in patients with minor deficits, as compared to conventional measures of disease.
引用
收藏
页码:423 / 432
页数:10
相关论文
共 50 条
  • [41] The correlations between brain glucose metabolic alterations and MRI findings in multiple sclerosis patients
    Ilves, A. G.
    Prakhova, L. N.
    Kataeva, G. V.
    Totolyan, N. A.
    Pozdnyakov, A. V.
    Stolyarov, I. D.
    EUROPEAN JOURNAL OF NEUROLOGY, 2004, 11 : 263 - 263
  • [42] Role of MRI in diagnosing multiple sclerosis - Early diagnosis using MRI and early treatment delays disease conversion
    Padmanabhan, B
    BMJ-BRITISH MEDICAL JOURNAL, 2006, 332 (7548): : 1034 - 1035
  • [43] Cerebral Vasoreactivity as an Indirect MRI Marker of White Matter Tracts Alterations in Multiple Sclerosis
    Deverdun, Jeremy
    Coget, Arthur
    Ayrignac, Xavier
    Carra-Dalliere, Clarisse
    Krainik, Alexandre
    Metzger, Aude
    Labauge, Pierre
    Menjot de Champfleur, Nicolas
    Le Bars, Emmanuelle
    BRAIN TOPOGRAPHY, 2021, 34 (02) : 245 - 255
  • [44] Early identification of multiple sclerosis patients with normal brain MRI at onset
    Wright, S.
    Miszkiel, K.
    Barkhof, F.
    Chataway, J.
    Ciccarelli, O.
    Brownlee, W.
    MULTIPLE SCLEROSIS JOURNAL, 2021, 27 (2_SUPPL) : 61 - 61
  • [45] Early Predictors of Clinical and MRI Outcomes Using LASSO in Multiple Sclerosis
    Bose, Gauruv
    Healy, Brian C.
    Lokhande, Hrishikesh A.
    Sotiropoulos, Marinos G.
    Polgar-Turcsanyi, Mariann
    Anderson, Mark
    Glanz, Bonnie, I
    Guttman, Charles R. G.
    Bakshi, Rohit
    Weiner, Howard L.
    Chitnis, Tanuja
    ANNALS OF NEUROLOGY, 2022, 92 (01) : 87 - 96
  • [46] Early MRI in optic neuritis: the risk for clinically definite multiple sclerosis
    Swanton, J. K.
    Fernando, K. T.
    Dalton, C. M.
    Miszkiel, K. A.
    Altmann, D. R.
    Plant, G. T.
    Thompson, A. J.
    Miller, D. H.
    MULTIPLE SCLEROSIS, 2010, 16 (02): : 156 - 165
  • [47] Quantification of brain tissue damage in patients with early onset multiple sclerosis: a magnetization transfer and diffusion tensor MRI study
    Pulizzi, A
    Tortorella, P
    Rocca, MA
    Ghezzi, A
    Moiola, L
    Mezzapesa, DM
    Comi, G
    Filippi, M
    MULTIPLE SCLEROSIS, 2005, 11 : S142 - S142
  • [48] Fatigue in early multiple sclerosis: MRI metrics of neuroinflammation, relapse and neurodegeneration
    Meijboom, Rozanna
    Foley, Peter
    MacDougall, Niall J. J.
    Mina, Yair
    York, Elizabeth N.
    Kampaite, Agniete
    Mollison, Daisy
    Kearns, Patrick K. A.
    White, Nicole
    Thrippleton, Michael J.
    Murray, Katy
    Hernandez, Maria del C. Valdes
    Reich, Daniel S.
    Connick, Peter
    Jacobson, Steven
    Nair, Govind
    Chandran, Siddharthan
    Waldman, Adam D.
    BRAIN COMMUNICATIONS, 2024, 6 (05)
  • [49] Cognition in early and late stages of multiple sclerosis and its correlation to MRI
    Kunkel, A.
    Bublak, P.
    Faiss, J. H.
    Fischer, M.
    Hoffmann, F.
    Sailer, M.
    Schwab, M.
    Stadler, E.
    Zettl, U. K.
    Koehler, W.
    MULTIPLE SCLEROSIS JOURNAL, 2015, 21 : 521 - 522
  • [50] Advanced MRI Measures of Myelin and Axon Volume Identify Repair in Multiple Sclerosis
    Sanabria-Diaz, Gretel
    Cagol, Alessandro
    Lu, Po-Jui
    Barakovic, Muhamed
    Ocampo-Pineda, Mario
    Chen, Xinjie
    Weigel, Matthias
    Ruberte, Esther
    de Oliveira S. Siebenborn, Nina
    Galbusera, Riccardo
    Schadelin, Sabine
    Benkert, Pascal
    Kuhle, Jens
    Kappos, Ludwig
    Melie-Garcia, Lester
    Granziera, Cristina
    ANNALS OF NEUROLOGY, 2025, 97 (01) : 134 - 148