Improving the prediction of final infarct size in acute stroke with bolus delay-corrected perfusion MRI measures

Journal of Magnetic Resonance Imaging

Volumn 20, Issue 6, 2004, Pages 941-947

  Rose, Stephen E ^a   Janke, Andrew L ^a   Griffin, Mark ^a   Strudwick, Mark W ^a   Finnigan, Simon ^a   Semple, James ^b,c   Chalk, Jonathan B ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b GLAXOSMITHKLINE   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Acute stroke; Cerebral ischemia; Diffusion weighted MRI; MRI; Perfusion weighted MRI

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BOLUS DELAY CORRECTED PERFUSION; BRAIN INFARCTION SIZE; BRAIN PERFUSION; CLINICAL ARTICLE; CONTRAST RADIOGRAPHY; CORRELATION ANALYSIS; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; EVALUATION; FEMALE; HEMODYNAMIC MONITORING; HUMAN; MALE; NERVE CELL CULTURE; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STROKE;

ACUTE DISEASE; AGED; AGED, 80 AND OVER; ALGORITHMS; BLOOD FLOW VELOCITY; BLOOD VOLUME; CEREBROVASCULAR CIRCULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; INFARCTION, MIDDLE CEREBRAL ARTERY; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS;

EID: 9644262445     PISSN: 10531807     EISSN: None     Source Type: Journal    
DOI: 10.1002/jmri.20216     Document Type: Article

References (18)

1. Ostergaard L, Sorensen AG, Kwong K, Weisskoff RM, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results. Magn Reson Med 1996;36:726-736.
2. 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.
3. Wu O, Ostergaard L, Koroshetz WJ, et al. Effects of tracer arrival time on flow estimates in MR perfusion-weighted imaging. Magn Reson Med 2003;50:856-864.
4. 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.
5. Yamada K, Wu O, Gonzalez G, et al. Magnetic resonance perfusion-weighted imaging of acute cerebral infarction. Effect of the calculation methods and underlying vasculopathy. Stroke 2002;33:87-94.
6. Grandin CB, Duprez TP, Smith AM. et al. Which MR-derived perfusion parameters are the best predictors of infarct growth in hyperacute stroke? Comparative study between relative and quantitative measurements. Radiology 2002;223:361-370.
7. Wu O, Ostergaard 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.
8. Coutts SB, Simon JE, Tomanek AI, et al. Reliability of assessing percentage of diffusion-perfusion mismatch. Stroke 2003;34:1681-1685.
9. Wu O, Koroshetz WJ, Østergaard L, Ferdinando S, Buonano F, Copen WA. Predicting tissue outcome in acute human cerebral ischemia using combined diffusion-perfusion-weighted MR imaging. Stroke 2001;32:933-942.
10. Rose SE, Chalk JB, Griffin M, et al. MRI based diffusion and perfusion predictive model to estimate stroke evolution. Magn Reson Imaging 2001;19:1043-1053.
11. McLachlan GJ, Basford KE. Mixture models: inference and application to clustering. New York: Marcel Dekker: 1998. p 9-31.
12. Finnigan S, Rose SE, Walsh M, et al. Correlation of quantitative EEG with 30 day NIHSS score in acute ischemic stroke: a comparison with diffusion and perfusion MRI. Stroke 2004;28:249-257.
13. Collins DL, Neelin P, Peters TM, Evans AC. Automatic 3-D inter-subject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr 1994;18:192-205.
14. Zijdenbos AP, Dawant BM, Margolin RA, Palmer AC. Morphometric analysis of white matter lesion in MR images: methods and validation. IEEE Trans Med Imaging 1994;13:716-724.
15. Baird AE, Lovblad KO, Dashe JF, et al. Clinical correlations of diffusion and perfusion lesion volumes in acute ischemic stroke. Cerebrovasc Dis 2000;10:441-444.
16. Mark W. Parsons, P. Alan Barber, Jonathon B. Chalk, et al. Diffusion and perfusion weighted MRI response to thrombolysis in stroke. Ann Neurol 2002;51:28-37.
17. Kidwell CS, Alger JR, Saver JL. Beyond mismatch: evolving paradigms in imaging the ischemic penumbra with multimodal magnetic resonance imaging. Stroke 2003;34:2729-2735.
18. Calamante F, Yim PJ, Cebral JR. Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. Neuroimage 2003;19:341-353.