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Neurological Research
A Journal of Progress in Neurosurgery, Neurology and Neurosciences
Volume 30, 2008 - Issue 8: Vascular Neurology
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Articles

Use of perfusion- and diffusion-weighted imaging in differential diagnosis of acute and chronic ischemic stroke and multiple sclerosis

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Pages 816-826 | Published online: 19 Jul 2013

REFERENCES

  • Ginsberg M, Pulsinelli W. The ischemic penumbra, injury thresh-olds, and the therapeutic window for acute stroke. Ann Neurol 1994; 36: 553–554
  • Guadagno JV, Donnan GA, Markus R, et al. Imaging the ischaemic penumbra. Curr Opin Neurol 2004; 17: 61–67
  • Tatlisumak T, Strbian D, Abo Ramadan U, et al. The role of diffusion- and perfusion-weighted magnetic resonance imaging in drug development for ischemic stroke: from laboratory to clinics. Curr Vasc Pharmacol 2004; 2: 343–355
  • Schlaug G, Benfield A, Baird A, et al. The ischemic penumbra: Operationally defined by diffusion and perfusion MRI. Neurology 1999; 53: 1528–1537
  • Beaulieu C, de Crespigny A, Tong D, et al. Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: Evolution of lesion volume and correlation with clinical outcome. Ann Neurol 1999; 46: 568–578
  • Zivadinov R. Evidence for neuroprotection in multiple sclerosis: Can imaging techniques measure neuroprotection and remyelina-tion? Neurology 2007; 68 (Suppl. 3): S72 —S82
  • Rovaris M, Gass A, Bammer R, et al. Diffusion MRI in multiple sclerosis. Neurology 2005; 65: 1526–1532
  • Horsfield MA, Larsson HB, Jones DK, et al. Diffusion magnetic resonance imaging in multiple sclerosis. J Neurol Neurosurg Psychiatry 1998; 64 (Suppl. 1): S80-584
  • Cercignani M, Inglese M, Pagani E, et al. Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis. AJNR Am] Neuroradiol 2001; 22: 952–958
  • Tavazzi E, Dwyer MG, Weinstock-Guttman B, et al. Quantitative diffusion weighted imaging measures in patients with multiple sclerosis. Neuroimage 2007; 36: 746–754
  • Lin F, Yu C, Jiang T, et al. Diffusion tensor tractography-based group mapping of the pyramidal tract in relapsing-remitting multiple sclerosis patients. AJNR Am J Neuroradiol 2007; 28: 278–282
  • Rovaris M and Filippi M. Diffusion tensor MRI in multiple sclerosis.] Neuroimaging 2007; 17 (Suppl. 1): 527-530
  • Wuerfel J, Paul F, Zipp F. Cerebral blood perfusion changes in multiple sclerosis. I Neurol Sci 2007; 259: 16–20
  • Firbank M, Coulthard A, Harrison R, et al. Partial volume effects in MRI studies of multiple sclerosis. Magn Reson Imaging 1999; 17: 593 —601
  • Haselhorst R, Kappos L, Bilecen D, et al. Dynamic susceptibility contrast MR imaging of plaque development in multiple sclerosis: Application of an extended blood—brain barrier leakage correction. ]Magn Reson Imaging 2000; 11: 495–505
  • Sakaie KE, Shin W, Curtin KR, et al. Method for improving the accuracy of quantitative cerebral perfusion imaging.] Magn Reson Imaging 2005; 21: 512–519
  • Inglese M, Park SJ, Johnson G, et al. Deep gray matter perfusion in multiple sclerosis: Dynamic susceptibility contrast perfusion magnetic resonance imaging at 3 T. Arch Neurol 2007; 64: 196–202
  • Adhya S, Johnson G, Herbert J, et al. Pattern of hemodynamic impairment in multiple sclerosis: Dynamic susceptibility contrast perfusion MR imaging at 3.0 T. Neuroimage 2006; 33: 1029–1035
  • Law M, Saindane AM, Ge Y, et al. Microvascular abnormality in relapsing-remitting multiple sclerosis: Perfusion MR imaging findings in normal-appearing white matter. Radiology 2004; 231: 645–652
  • Saindane AM, Law M, Ge Y, et al. Correlation of diffusion tensor and dynamic perfusion MR imaging metrics in normal-appearing corpus callosum: Support for primary hypoperfusion in multiple sclerosis. AJNR Am] Neuroradiol 2007; 28: 767–772
  • Rashid W, Parkes LM, Ingle GT, et al. Abnormalities of cerebral perfusion in multiple sclerosis. I Neurol Neurosurg Psychiatry 2004; 75: 1288–1293
  • Inglese M, Adhya S, Johnson G, et al. Perfusion magnetic resonance imaging correlates of neuropsychological impairment in multiple sclerosis. I Cereb Blood Flow Metab 2008; 28: 164–171
  • Polman CH, Reingold SC, Edan G, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Ann Neurol 2005; 58: 840–846
  • Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33: 1444–1452
  • Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: Results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 1996; 46: 907–911
  • Miller DH, Barkhof F, Berry I, et al. Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: Concerted action gu idel ines. J Neurol Neurosurg Psychiatry 1991; 54: 683–688
  • Zivadinov R, Rudick RA, De Masi R, et al. Effects of IV methylprednisolone on brain atrophy in relapsing-remitting MS. Neurology 2001; 57: 1239–1247
  • Zivadinov R, Sepcic J, Nasuelli D, et al. A longitudinal study of brain atrophy and cognitive disturbances in the early phase of relapsing-remitting multiple sclerosis. I Neurol Neurosurg Psychiatry 2001; 70: 773–780
  • Rosen BR, Belliveau JW, Vevea JM, et al. Perfusion imaging with NMR contrast agents. Magn Reson Med 1990; 14: 249–265
  • Morgan B, Utting JF, Higginson A, et al. A simple, reproducible method for monitoring the treatment of tumours using dynamic contrast-enhanced MR imaging. Br] Cancer2006; 94: 1420-1427
  • Ashburner J, Friston KJ. Voxel-based morphometry--the methods. Neuroimage 2000; 11(6 Pt 1): 805-821
  • Ashburner J, Friston K. Nonlinear spatial normalization using basis functions. Hum Brain Mapp 1999; 7: 254–266
  • Jenkinson M, Bannister P, Brady M, et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002; 17: 825–841
  • Gonzalez R, Woods R. Digital Image Processing, Chapter 2, Boston, MA: Addison-Wesley Publishing Company, 1992
  • John H, Langley P. Estimating continuous distributions in Bayesian classifiers. Paper presented at the list Conference on Uncertainty in Artificial Intelligence, 1995, Montreal, Que., Canada
  • Landwehr M, Frank E. Logistic model trees. Paper presented at the 14th European Conference on Machine Learning, 2003, Cavtat-Dubrovnik, Croatia
  • Le Cessie S, van Houwelingen JC. Ridge estimators in logistic regression. Appl Stat 1992; 41: 191–201
  • Rosso C, Remy P, Creange A, et al. Diffusion-weighted MR imaging characteristics of an acute strokelike form of multiple sclerosis. AJNR Am J Neuroradiol 2006; 27: 100621008
  • Tievsky AL, Ptak T, Farkas J. Investigation of apparent diffusion coefficient and diffusion tensor anisotrophy in acute and chronic multiple sclerosis lesions. AJNR Am J Neuroradiol 1999; 20: 149121499
  • Horsfield MA, Lai M, Webb SL, et al. Apparent diffusion coefficients in benign and secondary progressive multiple sclerosis by nuclear magnetic resonance. Magn Reson Med 1996; 36: 393 —400
  • Lovblad KO, Laubach HJ, Baird AE, et al. Clinical experience with diffusion-weighted MR in patients with acute stroke. AJNR Am I Neuroradiol 1998; 19: 1061 —1066
  • Hogue R, Ledbetter C, Gonzalez-Toledo E, et al. The role of quantitative neuroimaging indices in the differentiation of ischeischemia and demyelination. A study and case analysis. Int Rev Neurobiol 2007; 79: 4912519
  • Rabinstein AA. Treatment of cerebral edema. Neurologist 2006; 12: 59–73
  • van der Voorn JP, Pouwels PJ, Hart AA, et al. Childhood white matter disorders: Quantitative MR imaging and spectroscopy. Radiology 2006; 241: 510–517
  • Rovaris M, Holtmannspotter M, Rocca MA, et al. Contribution of cervical cord MRI and brain magnetization transfer imaging to the assessment of individual patients with multiple sclerosis: A preliminary study. Mult Scler 2002; 8: 52–58
  • Govoni M, Castel lino G, Padovan M, et al. Recent advances and future perspective in neuroimaging in neuropsychiatric systemic lupus erythematosus. Lupus 2004; 13: 149–158
  • Darby DG, Barber PA, Gerraty RP, et al. Pathophysiological topography of acute ischemia by combined diffusion-weighted and perfusion MRI. Stroke 1999; 30: 2043–2052
  • Read SJ, Hirano T, Abbott DF, et al. The fate of hypoxic tissue on 18F-fluoromisonidazole positron emission tomography after ischemic stroke. Ann Neurol 2000; 48: 228–235
  • Ge Y, Law M, Johnson G, et al. Dynamic susceptibility contrast perfusion MR imaging of multiple sclerosis lesions: Characterizing hemodynamic impairment and inflammatory activity. AJNR Am I Neuroradiol 2005; 26: 1539–1547
  • Butcher K, Parsons M, Baird T, et al. Perfusion thresholds in acute stroke thrombolysis. Stroke 2003; 34: 2159–2164

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