Benign oligemia despite a malignant MRI profile in acute ischemic stroke

Journal of Clinical Neurology (Korea)

Volumn 6, Issue 1, 2010, Pages 41-45

  Bang, Oh Young ^a   Lee, Kwang Ho ^a   Kim, Suk Jae ^a   Liebeskind, David S ^b  

^a Sungkyunkwan University School of Medicine   (South Korea)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Collaterals; Ischemia; Magnetic resonance imaging; Perfusion; Stroke

Indexed keywords

EID: 78651499199     PISSN: 17386586     EISSN: 20055013     Source Type: Journal    
DOI: 10.3988/jcn.2010.6.1.41     Document Type: Article

References (12)

1. Albers GW, Thijs VN, Wechsler L, Kemp S, Schlaug G, Skalabrin E, et al. Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study. Ann Neurol 2006; 60:508-517.
2. Lee KH, Cho SJ, Byun HS, Na DG, Choi NC, Lee SJ, et al. Triphasic perfusion computed tomography in acute middle cerebral artery stroke: a correlation with angiographic findings. Arch Neurol 2000;57:990-999.
3. Kane I, Carpenter T, Chappell F, Rivers C, Armitage P, Sandercock P, et al. Comparison of 10 different magnetic resonance perfusion imaging processing methods in acute ischemic stroke: effect on lesion size, proportion of patients with diffusion/perfusion mismatch, clinical scores, and radiologic outcomes. Stroke 2007;38:3158-3164.
4. Davis SM, Donnan GA, Butcher KS, Parsons M. Selection of thrombolytic therapy beyond 3 h using magnetic resonance imaging. Curr Opin Neurol 2005;18:47-52.
5. Shih LC, Saver JL, Alger JR, Starkman S, Leary MC, Vinuela F, et al. Perfusion-weighted magnetic resonance imaging thresholds identifying core, irreversibly infarcted tissue. Stroke 2003;34:1425-1430.
6. Butcher KS, Parsons M, MacGregor L, Barber PA, Chalk J, Bladin C, et al. Refining the perfusion-diffusion mismatch hypothesis. Stroke 2005;36:1153-1159.
7. Bang OY, Buck BH, Saver JL, Alger JR, Yoon SR, Starkman S, et al. Prediction of hemorrhagic transformation after recanalization therapy using T2*-permeability magnetic resonance imaging. Ann Neurol 2007;62:170-176.
8. Zaharchuk G. Theoretical basis of hemodynamic MR imaging techniques to measure cerebral blood volume, cerebral blood flow, and permeability. AJNR Am J Neuroradiol 2007;28:1850-1858.
9. Calamante F, Ganesan V, Kirkham FJ, Jan W, Chong WK, Gadian DG, et al. MR perfusion imaging in Moyamoya Syndrome: potential implications for clinical evaluation of occlusive cerebrovascular disease. Stroke 2001;32:2810-2816.
10. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000;44:466-473.
11. Liebeskind DS. Collaterals in acute stroke: beyond the clot. Neuroimaging Clin N Am 2005;15:553-573, x.
12. Wu O, Koroshetz WJ, Ostergaard L, Buonanno FS, Copen WA, Gonzalez RG, et al. Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imaging. Stroke 2001;32:933-942.