Heterogeneity of cortical lesions in multiple sclerosis: An MRI perfusion study

Journal of Cerebral Blood Flow and Metabolism

Volumn 33, Issue 3, 2013, Pages 457-463

  Peruzzo, Denis ^a   Castellaro, Marco ^a   Calabrese, Massimiliano ^a   Veronese, Elisa ^a   Rinaldi, Francesca ^a   Bernardi, Valentina ^a   Favaretto, Alice ^a   Gallo, Paolo ^a   Bertoldo, Alessandra ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

brain imaging; cerebral blood flow; microglia; multiple sclerosis; perfusion weighted MRI

Indexed keywords

ADULT; ARTICLE; BRAIN BLOOD FLOW; BRAIN BLOOD VOLUME; BRAIN CORTEX LESION; BRAIN METABOLISM; BRAIN PERFUSION; CLINICAL ARTICLE; FEMALE; GRAY MATTER; HUMAN; INFLAMMATION; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

ADULT; BLOOD FLOW VELOCITY; BLOOD VOLUME; CEREBRAL CORTEX; CEREBROVASCULAR CIRCULATION; FEMALE; HUMANS; INFLAMMATION; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS;

EID: 84874657776     PISSN: 0271678X     EISSN: 15597016     Source Type: Journal    
DOI: 10.1038/jcbfm.2012.192     Document Type: Article

References (37)

1. Law M, Saindane AM, Ge Y, Babb JS, Johnson G, Mannon LJ et al. Microvascular abnormality in relapsing-remitting multiple sclerosis: perfusion MR imaging findings in normal-appearing white matter. Radiology 2004; 231: 645-652.
2. Rashid W, Parkes LM, Ingle GT, Chard DT, Toosy AT, Altmann DR et al. Abnormalities of cerebral perfusion in multiple sclerosis. J Neurol Neurosurg Psychiatry 2004; 75: 1288-1293.
3. Heiss WD, Sorensen GA. Advances in imaging. Stroke 2009; 40: e3131-e3314.
4. Detre JA, Wang J, Wang Z, Rao H. Arterial spin-labeled perfusion MRI in basic and clinical neuroscience. Curr Opin Neurol 2009; 22: 348-355.
5. Knutsson L, Van Westen D, Petersen ET, Bloch KM, Holtås S, Ståhlberg F et al. Absolute quantification of cerebral blood flow: correlation between dynamic susceptibility contrast MRI and model-free arterial spin labeling. Magn Reson Imaging 2010; 28: 1-7.
6. Tofts PS. Quantitative MRI of the Brain: Measuring Changes Caused by Disease. John Wiley & Sons: Hoboken, NJ, USA, 2005.
7. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magn Reson Med 1996; 36: 715-725.
8. Calamante F, Thomas DL, Pell GS, Wiersma J, Turner R. Measuring cerebral blood flow using magnetic resonance imaging techniques. J Cereb Blood Flow Metab 1999; 19: 701-735.
9. Adhya S, Johnson G, Herbert J, Jaggi H, Babb JS, Grossman RI et al. Pattern of hemodynamic impairment in multiple sclerosis: dynamic susceptibility contrast perfusion MR imaging at 3.0T. Neuroimage 2006; 33: 1029-1035.
10. Haselhorst R, Kappos L, Bilecen D, Scheffler K, Möri D, RadüEW et al. Dynamic susceptibility contrast MR imaging of plaque development in multiple sclerosis: application of an extended blood-brain barrier leakage correction. J Magn Reson Imaging 2000; 11: 495-505.
11. Wuerfel J, Bellmann-Strobl J, Brunecker P, Aktas O, McFarland H, Villringer A et al. Changes in cerebral perfusion precede plaque formation in multiple sclerosis: a longitudinal perfusion MRI study. Brain 2004; 127(Part 1): 111-119.
12. Ge Y, Law M, Johnson G, Herbert J, Babb JS, Mannon LJ et al. Dynamic susceptibility contrast perfusion MR imaging of multiple sclerosis lesions: characterizing hemodynamic impairment and inflammatory activity. AJNR Am J Neuroradiol 2005; 26: 1539-1547.
13. Calabrese M, Agosta F, Rinaldi F, Mattisi I, Grossi P, Favaretto A et al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 2009; 66: 1144-1150.
14. Calabrese M, Rocca MA, Atzori M, Mattisi I, Favaretto A, Perini P et al. A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis. Ann Neurol 2010; 67: 376-383.
15. Peterson JW, BöL, Mörk S, Chang A, Trapp BD. Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions. Ann Neurol 2001; 50: 389-400.
16. Inglese M, Park SJ, Johnson G, Babb JS, Miles L, Jaggi H et al. Deep gray matter perfusion in multiple sclerosis: dynamic susceptibility contrast perfusion magnetic resonance imaging at 3T. Arch Neurol 2007; 64: 196-202.
17. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001; 50: 121-127.
18. Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the 'McDonald Criteria'. Ann Neurol 2005; 8: 840-846.
19. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H et al. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 2004; 23(Suppl 1): 208-219.
20. Brunecker P, Villringer A, Schultze J, Nolte CH, Jungehülsing GJ, Endres M et al. Correcting saturation effects of the arterial input function in dynamic susceptibility contrast-enhanced MRI: a Monte Carlo simulation. Magn Reson Imaging 2007; 25: 1300-1311.
21. Peruzzo D, Bertoldo A, Zanderigo F, Cobelli C. Automatic selection of arterial input function on dynamic contrast-enhanced MRI images. Comput Methods Programs Biomed 2011; 104: e148-e157.
22. Calamante F, Gadian DG, Connelly A. Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke: assumptions, limitations, and potential implications for clinical use. Stroke 2002; 33: 1146-1151.
23. Wu O, Østergaard L, Weisskoff RM, Benner T, Rosen BR, Sorensen AG. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix. Magn Reson Med 2003; 50: 164-174.
24. Geurts JJ, Roosendaal SD, Calabrese M, Ciccarelli O, Agosta F, Chard DT et al. Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI. Neurology 2011; 76: 418-424.
25. Calabrese M, Filippi M, Rovaris M, Mattisi I, Bernardi V, Atzori M et al. Morphology and evolution of cortical lesions in multiple sclerosis. A longitudinal MRI study. Neuroimage 2008; 42: 1324-1328.
26. Lucchinetti CF, Parisi J, Bruck W. The pathology of multiple sclerosis. Neurol Clin 2005; 23: 77-105.
27. Popescu BF, Bunyan RF, Parisi JE, Ransohoff RM, Lucchinetti CF. A case of multiple sclerosis presenting with inflammatory cortical demyelination. Neurology 2011; 76: 1705-1710.
28. Kjølby BF, Østergaard L, Kiselev VG. Theoretical model of intravascular paramagnetic tracers effect on tissue relaxation. Magn Reson Med 2006; 56: 187-197.
29. Carroll TJ, Rowley HA, Haughton VM. Automatic calculation of the arterial input function for cerebral perfusion imaging with MR imaging. Radiology 2003; 227: 593-600.
30. Van Osch MJP, Vonken EPA, Bakker CJG, Viergever MA. Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI. Magn Reson Med 2001; 45: 477-485.
31. Calamante F, Mørup M, Hansen LK. Defining a local arterial input function for perfusion MRI using independent component analysis. Magn Reson Med 2004; 52: 789-797.
32. Mouridsen K, Christensen S, Gyldensted L, Ostergaard L. Automatic selection of arterial input function using cluster analysis. Magn Reson Med 2006; 55: 524-531.
33. Peruzzo D, Zanderigo F, Bertoldo A, Pillonetto G, Cosottini M, Cobelli C. Assessment of clinical data of nonlinear stochastic deconvolution versus block-circulant singular value decomposition for quantitative dynamic susceptibility contrast magnetic resonance imaging. Magn Reson Imaging 2011; 29: 927-936.
34. Hirai T, Kitajima M, Nakamura H, Okuda T, Sasao A, Shigematsu Y et al. Quantitative blood flow measurements in gliomas using arterial spin-labeling at 3T: intermodality agreement and inter-and intraobserver reproducibility study. AJNR Am J Neuroradiol 2011; 32: 2073-2079.
35. Okabe T, Shibata H, Shizukuishi K, Yoneyama T, Inoue T, Tateishi U. F-18 FDG uptake patterns and disease activity of collagen vascular diseases-associated arthritis. Clin Nucl Med 2011; 36: 350-354.
36. Rule RR, Schuff N, Miller RG, Weiner MW. Gray matter perfusion correlates with disease severity in ALS. Neurology 2010; 74: 821-827.
37. Stankoff B, Freeman L, Aigrot MS, Chardain A, Dollé F, Williams A et al. Imaging central nervous system myelin by positron emission tomography in multiple sclerosis using [methyl-11C]-2-(40-methylaminophenyl)-6- hydroxybenzothiazole. Ann Neurol 2011; 69: 673-680.