Magnetic Resonance Imaging
Volume 27, Issue 9 , Pages 1216-1222 , November 2009

Quantitative permeability magnetic resonance imaging in acute ischemic stroke: how long do we need to scan?

  • Logi Vidarsson

      Affiliations

    • Department of Diagnostic Imaging, The Hospital for Sick Children and The University of Toronto, Toronto, ON, Canada
    • Corresponding Author InformationCorresponding author.
  • ,
  • Rebecca E. Thornhill

      Affiliations

    • Department of Medical Imaging, The University of Toronto, Toronto, ON, Canada
  • ,
  • Fang Liu

      Affiliations

    • Department of Diagnostic Imaging, The Hospital for Sick Children and The University of Toronto, Toronto, ON, Canada
  • ,
  • David J. Mikulis

      Affiliations

    • Department of Medical Imaging, The Toronto Western Hospital, Toronto, ON, Canada
  • ,
  • Andrea Kassner

      Affiliations

    • Department of Diagnostic Imaging, The Hospital for Sick Children and The University of Toronto, Toronto, ON, Canada
    • Department of Medical Imaging, The University of Toronto, Toronto, ON, Canada

Received 9 September 2008 ,Revised 9 December 2008 ,Accepted 26 January 2009.

References 

  1. Armitage P, Schwindack C, Bastin M, Whittle I. Quantitative assessment of intracranial tumor response to dexamethasone using diffusion, perfusion and permeability magnetic resonance imaging. Magn Reson Imaging. 2007;25:303–310
  2. Haris M, Gupta R, Husain M, Srivastava C, Singh A, SinghRathore R, et al. Assessment of therapeutic response in brain tuberculomas using serial dynamic contrast-enhanced MRI. Clin Radiol. 2008;63:562–574
  3. Roberts H, Roberts T, Brasch R, Dillon W. Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR Am J Neuroradiol. 2000;21:891–899
  4. Tofts P, Kermode A. Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging: 1. Fundamental concepts. Magn Reson Med. 1991;17:357–367
  5. Larsson H, Stubgaard M, Frederiksen J, Jensen M, Henriksen O, Paulson O. Quantitation of blood–brain barrier defect by magnetic resonance imaging and gadolinium-DTPA in patients with multiple sclerosis and brain tumors. Magn Reson Med. 1990;16:117–131
  6. Yankeelov T, Rooney W, Huang W, Dyke J, Li X, Tudorica A, et al. Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology. NMR Biomed. 2005;18:173–185
  7. Kassner A, Roberts T, Taylor K, Silver F, Mikulis D. Prediction of hemorrhage in acute ischemic stroke using permeability MR imaging. AJNR Am J Neuroradiol. 2005;26:2213–2217
  8. Roberts H, Roberts T, Lee T, Dillon W. Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability: report of two cases. AJNR Am J Neuroradiol. 2002;23:828–832
  9. The NINDS study group. Generalized efficacy of t-PA for acute stroke. Subgroup analysis of the NINDS t-PA Stroke Trial. Stroke. 1997;28:2119–2125
  10. Furlan A, Higashida R, Wechsler L, Gent M, Rowley H, Kase C, et al. Intra-arterial prourokinase for acute ischemic stroke. The PROACT II study: a randomized controlled trial. Prolyse in acute cerebral thromboembolism. JAMA. 1999;282:2003–2011
  11. Muir K, Buchan A, von Kummer R, Rother J, Baron J. Imaging of acute stroke. Lancet Neurol. 2006;5:755–768
  12. NeumannHaefelin T, Steinmetz H. Time is brain: is MRI the clock?. Curr Opin Neurol. 2007;20:410–416
  13. Kassner A, Annesley D, Zhu X, Li K, KamalyAsl I, Watson Y, et al. Abnormalities of the contrast re-circulation phase in cerebral tumors demonstrated using dynamic susceptibility contrast-enhanced imaging: a possible marker of vascular tortuosity. J Magn Reson Imaging. 2000;11:103–113
  14. Leach M, Brindle K, Evelhoch J, Griffiths J, Horsman M, Jackson A, et al. The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations. Br J Cancer. 2005;92:1599–1610
  15. Evelhoch J. Key factors in the acquisition of contrast kinetic data for oncology. J Magn Reson Imaging. 1999;10:254–259
  16. Li K, Zhu X, Checkley D, Tessier J, Hillier V, Waterton J, et al. Simultaneous mapping of blood volume and endothelial permeability surface area product in gliomas using iterative analysis of first-pass dynamic contrast enhanced MRI data. Br J Radiol. 2003;76:39–50
  17. Murase K. Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Med. 2004;51:858–862
  18. Boyd S, Vandenberghe L. Convex Optimization. Cambridge University Press; 2004;156–160, 561–630
  19. Agoston AT, Daniel BL, Herfkens RJ, Ikeda DM, Birdwell RL, Heiss SG, et al. Intensity-modulated parametric mapping for simultaneous display of rapid dynamic and high-spatial-resolution breast MR imaging data. Radiographics. 2001;21:217–226
  20. Hoffmann U, Brix G, Knopp MV, Hess T, Lorenz WJ. Pharmacokinetic mapping of the breast: a new method for dynamic MR mammography. Magn Reson Med. 1995;33:506–514
  21. Brix G, Semmler W, Port R, Schad LR, Layer G, Lorenz WJ. Pharmacokinetic parameters in CNS Gd-DTPA enhanced MR imaging. J Comput Assist Tomogr. 1991;15:621–628
  22. Henderson E, Rutt B, Lee T. Temporal sampling requirements for the tracer kinetics modeling of breast disease. Magn Reson Imaging. 1998;16:1057–1073
  23. Ocak I, Bernardo M, Metzger G, Barrett T, Pinto P, Albert P, et al. Dynamic contrast-enhanced MRI of prostate cancer at 3 T: a study of pharmacokinetic parameters. AJR Am J Roentgenol. 2007;189:849
  24. Dougherty L, Isaac G, Rosen M, Nunes L, Moate P, Boston R, et al. High frame-rate simultaneous bilateral breast DCE-MRI. Magn Reson Med. 2007;57:220–225
  25. Bang O, Buck B, Saver J, Alger J, Yoon S, Starkman S, et al. Prediction of hemorrhagic transformation after recanalization therapy using T2⁎-permeability magnetic resonance imaging. Ann Neurol. 2007;62:170–176
  26. Aviv R, d’Esterre C, Hopyan J, Murphy B, Buck B, Li V, et al. CT derived permeability predicts hemorrhagic transformation in acute stroke. In: American Society for Neuroradiology. 2008;p. 83;New Orleans, LA
  27. Dankbaar J, Hom J, Schneider T, Cheng S, Lau B, van der Schaaf I, et al. Dynamic perfusion CT assessment of the blood–brain barrier permeability: first pass versus delayed acquisition. AJNR Am J Neuroradiol. 2008;29:1671–1676
  28. Lin K, Kazmi K, Law M, Babb J, Peccerelli N, Pramanik B. Measuring elevated microvascular permeability and predicting hemorrhagic transformation in acute ischemic stroke using first-pass dynamic perfusion CT imaging. AJNR Am J Neuroradiol. 2007;28:1292–1298
  29. Hom J, Cheng J, Cheng , Virmani S, Pohlman S, Dillon WP, et al. Dynamic perfusion CT assessment of blood–brain barrier permeability distinguishes between infarct and penumbra in acute stroke patients. In: American Society for Neuroradiology. 2007;p. 54;Chicago, IL
  30. Rice JA. Mathematical statistics and data analysis, chapter 4. 2nd ed. Duxbury Press; 1995;

PII: S0730-725X(09)00036-8

doi: 10.1016/j.mri.2009.01.019

Magnetic Resonance Imaging
Volume 27, Issue 9 , Pages 1216-1222 , November 2009