Multicontrast MRI quantification of focal inflammation and degeneration in multiple sclerosis

BioMed Research International

Volumn 2015, Issue , 2015, Pages

  Bonnier, Guillaume ^a,b   Roche, Alexis ^a,b   Romascano, David ^a   Simioni, Samanta ^b   Meskaldji, Djalel Eddine ^a,c   Rotzinger, David ^b   Lin, Ying Chia ^d   Menegaz, Gloria ^d   Schluep, Myriam ^b   Du Pasquier, Renaud ^b   Sumpf, Tilman Johannes ^e   Frahm, Jens ^e   Thiran, Jean Philippe ^a   Krueger, Gunnar ^a,f   Granziera, Cristina ^a,b  

^a EPFL   (Switzerland)

^b LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

^c UNIVERSITY OF GENEVA   (Switzerland)

^d UNIVERSITY OF VERONA   (Italy)

^e Biomedizinische NMR Forschungs GmbH   (Germany)

^f Siemens Schweiz AG   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTENTION; BEHAVIOR ASSESSMENT; BRAIN CORTEX LESION; CLINICAL ARTICLE; CLINICAL ASSESSMENT; COGNITION; COGNITION ASSESSMENT; COGNITIVE DEFECT; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; EXECUTIVE FUNCTION; EXPANDED DISABILITY STATUS SCALE; FATIGUE SCALE FOR MOTOR AND COGNITIVE FUNCTION; FEMALE; HISTOPATHOLOGY; HOSPITAL ANXIETY AND DEPRESSION SCALE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE QUALITY; LIMIT OF QUANTITATION; MALE; MOTOR PERFORMANCE; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS FUNCTIONAL COMPOSITE; NERVE DEGENERATION; NERVOUS SYSTEM INFLAMMATION; NEUROIMAGING; NEUROLOGIC EXAMINATION; NEUROPATHOLOGY; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; QUANTITATIVE ANALYSIS; SPATIAL MEMORY; TISSUE CHARACTERIZATION; VERBAL MEMORY; WHITE MATTER LESION; CEREBELLUM; COMPLICATION; INFLAMMATION; MULTIPLE SCLEROSIS, RELAPSING-REMITTING; MULTIVARIATE ANALYSIS; PATHOLOGY; STATISTICAL MODEL;

CONTRAST MEDIUM;

ADULT; CEREBELLUM; CONTRAST MEDIA; FEMALE; HUMANS; INFLAMMATION; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS, RELAPSING-REMITTING; MULTIVARIATE ANALYSIS; NERVE DEGENERATION;

EID: 84939164969     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2015/569123     Document Type: Article

References (42)

1. A. Rovira, C. Auger, and J. Alonso, "Magnetic resonance monitoring of lesion evolution in multiple sclerosis," Therapeutic Advances in Neurological Disorders, vol. 6, no. 5, pp. 298-310, 2013.
2. H. Lassmann, "The pathologic substrate of magnetic resonance alterations in multiple sclerosis," Neuroimaging Clinics of North America, vol. 18, no. 4, pp. 563-576, 2008.
3. P. M. Matthews, E. Pioro, S. Narayanan et al., "Assessment of lesion pathology in multiple sclerosis using quantitative MRI morphometry and magnetic resonance spectroscopy," Brain, vol. 119, no. 3, pp. 715-722, 1996.
4. D. S. Meier, H. L. Weiner, and C. R. G. Guttmann, "Time- series modeling of multiple sclerosis disease activity: a promising window on disease progression and repair potential?" Neurotherapeutics, vol. 4, no. 3, pp. 485-498, 2007.
5. D. S. Meier, H. L. Weiner, and C. R. G. Guttmann, "MR imaging intensity modeling of damage and repair in multiple sclerosis: relationship of short-term lesion recovery to progression and disability," American Journal of Neuroradiology, vol. 28, no. 10, pp. 1956-1963, 2007.
6. N. Nathoo, V. W. Yong, and J. F. Dunn, "Using magnetic resonance imaging in animal models to guide drug development in multiple sclerosis," Multiple Sclerosis, vol. 20, no. 1, pp. 3-11, 2014.
7. S. Boretius, A. Escher, T. Dallenga et al., "Assessment of lesion pathology in a new animal model of MS by multiparametric MRI and DTI," NeuroImage, vol. 59, no. 3, pp. 2678-2688, 2012.
8. E. Fisher, A. Chang, R. J. Fox et al., "Imaging correlates of axonal swelling in chronic multiple sclerosis brains," Annals of Neurology, vol. 62, no. 3, pp. 219-228, 2007.
9. A. Ceccarelli, R. Bakshi, and M. Neema, "MRI in multiple sclerosis: a review of the current literature," Current Opinion in Neurology, vol. 25, no. 4, pp. 402-409, 2012.
10. S. Ropele, C. Langkammer, C. Enzinger, S. Fuchs, and F. Fazekas, "Relaxation timemapping inmultiple sclerosis," Expert Review of Neurotherapeutics, vol. 11, no. 3, pp. 441-450, 2011.
11. T. Kober, C. Granziera, D. Ribes et al., "MP2RAGE multiple sclerosis magnetic resonance imaging at 3 T," Investigative Radiology, vol. 47, no. 6, pp. 346-352, 2012.
12. P. A. Brex, G. J. M. Parker, S. M. Leary et al., "Lesion heterogeneity in multiple sclerosis: A study of the relations between appearances on T1 weighted images, T1 relaxation times, and metabolite concentrations," Journal of Neurology Neurosurgery and Psychiatry, vol. 68, no. 5, pp. 627-632, 2000.
13. F. Bagnato, S. Hametner, B. Yao et al., "Tracking ironinmultiple sclerosis: a combined imaging and histopathological study at 7 Tesla," Brain, vol. 134, part 12, pp. 3599-3615, 2011.
14. C. L. Tardif, B. J. Bedell, S. F. Eskildsen, D. L. Collins, and G. B. Pike, "Quantitative magnetic resonance imaging of cortical multiple sclerosis pathology," Multiple Sclerosis International, vol. 2012, Article ID742018, 13 pages, 2012.
15. S. M. Rao, G. J. Leo, L. Bernardin, and F. Unverzagt, "Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction," Neurology, vol. 41, no. 5, pp. 685-691, 1991.
16. A. S. Zigmond and R. P. Snaith, "The hospital anxiety and depression scale," Acta Psychiatrica Scandinavica, vol. 67, no. 6, pp. 361-370, 1983.
17. I. K. Penner, C. Raselli, M. Stocklin, K. Opwis, L. Kappos, and P. Calabrese, "The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue," Multiple Sclerosis, vol. 15, no. 12, pp. 1509-1517, 2009.
18. J. F. Kurtzke, "Rating neurologic impairment inmultiple sclerosis: an expanded disability status scale (EDSS)," Neurology, vol. 33, no. 11, pp. 1444-1452, 1983.
19. J. S. Fischer, R. A. Rudick, G. R. Cutter, and S. C. Reingold, "The multiple sclerosis functional composite measure (MSFC): an integrated approach to MS clinical outcome assessment," Multiple Sclerosis, vol. 5, no. 4, pp. 244-250, 1999.
20. G. Bonnier, A. Roche, D. Romascano et al., "Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis," Annals of Clinical and Translational Neurology, vol. 1, no. 6, pp. 423-432, 2014.
21. C. Granziera, D. Romascano, A. Daducci et al., "Migraineurs without aura show microstructural abnormalities in the cerebellum and frontal lobe," Cerebellum, vol. 12, no. 6, pp. 812-818, 2013.
22. C. Granziera, A. Daducci, S. Simioni et al., "Micro-structural brain alterations in aviremic HIV+ patients with minor neurocognitive disorders: amulti-contrast study at high field," PLoS ONE, vol. 8, no. 9, Article ID e72547, 2013.
23. C. Granziera, A. Daducci, D. Romascano et al., "Structural abnormalities in the thalamus of migraineurs with aura:
24. J. P. Marques, T. Kober, G. Krueger, W. van der Zwaag, P.-F. van de Moortele, and R. Gruetter, "MP2RAGE, a self biasfield corrected sequence for improved segmentation and T1- mapping at high field," NeuroImage, vol. 49, no. 2, pp. 1271-1281, 2010.
25. C. Fatnassi, G. Krueger, R. Meuli, and K. R. OBrien, Non Linear Correction of R2∗ Maps fromMacroscopic Field Inhomogeneities, abstract 298, ESMRMB, 2013.
26. T. J. Sumpf, M. Uecker, S. Boretius, and J. Frahm, "Model-based nonlinear inverse reconstruction for T2 mapping using highly undersampled spin-echo MRI," Journal of Magnetic Resonance Imaging, vol. 34, no. 2, pp. 420-428, 2011.
27. P. Hnilicova, M. Bittsansky, and D. Dobrota, "Optimization of brain T2 mapping using standard CPMG sequence in a clinical scanner,"Measurement Science Review, vol. 14, no. 2, pp. 117-125, 2014.
28. S. Klein, M. Staring, K. Murphy, M. A. Viergever, and J. P. W. Pluim, "Elastix: a toolbox for intensity-based medical image registration," IEEE Transactions onMedical Imaging, vol. 29, no. 1, pp. 196-205, 2010.
29. A. Roche, D. Ribes, M. Bach-Cuadra, and G. Kruger, "On the convergence of EM-like algorithms for image segmentation using Markov random fields," Medical Image Analysis, vol. 15, no. 6, pp. 830-839, 2011.
30. J. DeLuca, S. K. Johnson, D. Beldowicz, and B. H. Natelson, "Neuropsychological impairments in chronic fatigue syndrome, multiple sclerosis, and depression," Journal of Neurology Neurosurgery and Psychiatry, vol. 58, no. 1, pp. 38-43, 1995.
31. L. J. Phillips and A. K. Stuifbergen, "The relevance of depressive symptoms and social support to disability in women with multiple sclerosis or fibromyalgia," International Journal of Rehabilitation Research, vol. 33, no. 2, pp. 142-150, 2010.
32. J. W. Osborne, "Improving your data transformations: applying the Box-Cox transformation," Practical Assessment, Research and Evaluation, vol. 15, no. 12, pp. 1-9, 2010.
33. M. Filippi, P. Preziosa, and M. A. Rocca, "Magnetic resonance outcome measures in multiple sclerosis trials: time to rethink?" Current Opinion in Neurology, vol. 27, no. 3, pp. 290-299, 2014.
34. W. Bruck, A. Bitsch, H. Kolenda, Y. Bruck, M. Stiefel, and H. Lassmann, "Inflammatory central nervous system demyelination: correlation of magnetic resonance imaging findings with lesion pathology," Annals of Neurology, vol. 42, no. 5, pp. 783-793, 1997.
35. M. A. A. Van Walderveen, L. Truyen, B. W. van Oosten et al., "Development of hypointense lesions onT1-weighted spin-echo magnetic resonance images in multiple sclerosis: relation to inflammatory activity," Archives of Neurology, vol. 56, no. 3, pp. 345-351, 1999.
36. S. Nessler, S. Boretius, C. Stadelmann et al., "Early MRI changes in a mouse model of multiple sclerosis are predictive of severe inflammatory tissue damage," Brain, vol. 130, no. 8, pp. 2186-2198, 2007.
37. P. Giannetti, M. Politis, P. Su et al., "Microglia activation in multiple sclerosis black holes predicts outcome in progressive patients: an in vivo (11)C](R)-PK11195-PET pilot study," Neurobiology of Disease, vol. 65, pp. 203-210, 2014.
38. D. Soon, D. J. Tozer, D. R. Altmann, P. S. Tofts, and D. H. Miller, "Quantification of subtle blood-brain barrier disruption in nonenhancing lesions in multiple sclerosis: a study of disease and lesion subtypes," Multiple Sclerosis, vol. 13, no. 7, pp. 884-894, 2007.
39. M. Bradl and H. Lassmann, "Progressive multiple sclerosis," Seminars in Immunopathology, vol. 31, no. 4, pp. 455-465, 2009.
40. S. Leech, J. Kirk, J. Plumb, and S. McQuaid, "Persistent endothelial abnormalities and blood-brain barrier leak in primary and secondary progressive multiple sclerosis," Neuropathology and Applied Neurobiology, vol. 33, no. 1, pp. 86-98, 2007.
41. B. Ferguson, M. K. Matyszak, M. M. Esiri, and V. H. Perry, "Axonal damage in acute multiple sclerosis lesions," Brain, vol. 120, no. 3, pp. 393-399, 1997.
42. K. E. Hammond, M. Metcalf, L. Carvajal et al., "Quantitative in vivo magnetic resonance imaging ofmultiple sclerosis at 7 Tesla with sensitivity to iron," Annals of Neurology, vol. 64, no. 6, pp. 707-713, 2008.