Academic Radiology
Volume 15, Issue 1 , Pages 77-83 , January 2008

Automatic Prediction of Infarct Growth in Acute Ischemic Stroke from MR Apparent Diffusion Coefficient Maps

  • Nidiyare Hevia Montiel

      Affiliations

    • Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • ,
  • Charlotte Rosso

      Affiliations

    • Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • Brain Stroke Emergency Unit, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • ,
  • Narie Chupin
    • ,
  • Sanorine Deltour

      Affiliations

    • Brain Stroke Emergency Unit, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • ,
  • Eric Bardinet

      Affiliations

    • Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • ,
  • Didier Dormont

      Affiliations

    • Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • Neuroradiology Department, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France.
    • ,
  • Yves Samson

      Affiliations

    • Brain Stroke Emergency Unit, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • ,
  • Sylvain Baillet

      Affiliations

    • Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA; Pierre & Marie Curie University, Paris 6; La Salpêtrière Hospital; Paris, France
    • Corresponding Author InformationAddress correspondence to: S.B.

Received 2 January 2007 ,Accepted 13 July 2007.

References 

  1. Linfante I, Akkawi NM. Advances in treatment of acute ischemic stroke. Curr Neurol Neurosci Rep. 2006;6:28–32
  2. Warach S. Tissue Viability thresholds in acute stroke: the 4-factor model. Stroke. 2001;32:2460–2461
  3. Gass A, Hirsch JG, Behrens S, et al. Exemplary studies on diffusion and perfusion weighted magnetic resonance imaging in acute neurological disease. Electromedica. 2000;68:106–111
  4. Connelly A, Calamante F, Porter DA, et al. Case study on diffusion and perfusion magnetic resonance imaging in childhood stroke. Electromedica. 2000;68:2–8
  5. Shaefer PW, Ozsunar Y, He J, et al. Assessing tissue viability with MR diffusion and perfusion imaging. AJNR Am J Neuroradiol. 2003;24:436–446
  6. Nagesh V, Welch KMA, Windham JP, et al. Time course of ADCw changes in ischemic stroke: beyond the human eye!”. Stroke. 1998;29:1778–1782
  7. Oppenheim C, Samson Y, Manaï R, et al. Prediction of malignant middle cerebral artery infarction by diffusion-weighted imaging. Stroke. 2000;31:2175–2181
  8. Oppenheim C, Stanescu R, Dormont D, et al. Diffusion MRI and cerebral ischemia (When to calculate the coefficient of diffusion?). J Neuroradiol. 1999;26:242–248
  9. Na DG, Thijs VN, Albers GW, et al. Diffusion-weighted MR imaging in acute ischemia value of apparent diffusion coefficient and signal intensity thresholds in predicting tissue at risk and final infarct size. AJNR Am J Neuroradiol. 2004;25:1331–1336
  10. Fiebach JB, Jansen O, Schellinger PD, et al. Serial analysis of the apparent diffusion coefficient time course in human stroke. Neuroradiology. 2002;44:294–298
  11. Oppenheim C, Grandin C, Samson Y, et al. Is there an apparent diffusion coefficient threshold in predicting tissue viability in hyperacute stroke?. Stroke. 2001;32:2486–2491
  12. Rojas S, Martín A, Justicia C, et al. Modest MRI signal intensity changes precede delayed cortical necrosis after transient focal ischemia in the rat. Stroke. 2006;37:1525–1532
  13. Chupin M, Mukuna-Bantumbakulud R, Hasboun D, et al. Anatomically-constrained region deformation for the automated segmentation of the hippocampus and the amygdala: method and validation on controls and patients with Alzheimer’s disease. NeuroImage. 2007;34:996–1019
  14. Li W, Tian J, Li E, et al. Robust unsupervised segmentation of infarct lesion from diffusion tensor MR images using multiscale statistical classification and partial volume voxel reclassification. NeuroImage. 2004;23:1507–1518
  15. Cosnard G, Duprez T, Grandin C, et al. Imagerie de diffusion et de perfusion par résonance magnétique de l’encéphale. Louvain Med. 1999;118:129–140

1 Supported in part by the CONACYT program for graduate training from the Mexican Ministry of Research and the SFERE graduate program from the French Ministry of Research.

PII: S1076-6332(07)00397-2

doi: 10.1016/j.acra.2007.07.007

Academic Radiology
Volume 15, Issue 1 , Pages 77-83 , January 2008

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