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Improving the prediction of final infarct size in acute stroke with bolus delay–corrected perfusion MRI measures by Stephen E. Rose; Andrew L. Janke; Mark Griffin; Mark W. Strudwick; Simon Finnigan; James Semple; Jonathan B. Chalk is a Medicine article available to read on EtoBox.

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## Abstract ## Purpose To investigate whether bolus delay‐corrected dynamic susceptibility contrast (DSC) perfusion MRI measures allowed a more accurate estimation of eventual infarct volume in 14 acute stroke patients using a predictive tissue classifier algorithm. ## Materials and Methods Tissue classification was performed using a expectation maximization and __k__‐means clustering algorithm utilizing diffusion and T2 measures (diffusion‐weighted imaging [DWI], apparent diffusion coefficient [ADC], and T2) combined with uncorrected perfusion measures cerebral blood flow ((CBF) and mean transit time [MTT]), bolus delay–corrected perfusion measures (cCBF and cMTT), and bolus delay–corrected perfusion indices (cCBF and cMTT with bolus delay). ## Results The mean similarity index (SI), a kappa‐based correlation statistic reflecting the pixel‐by‐pixel classification agreement between predicted and 30‐day T2 lesion volumes, were 0.55 ± 0.19, 0.61 ± 0.15 (__P__ < 0.02) and 0.60 ± 0.17 (__P__ <0.03), respectively. Spearman's correlation coefficients, comparing predicted and final lesion volumes were 0.56 (__P__ < 0.05), 0.70 (__P__ < 0.01), and 0.84 (__P__ < 0.001), respectively. We fou

Who reads Improving the prediction of final infarct size in acute stroke with bolus delay–corrected perfusion MRI measures?

Author

Stephen E. Rose; Andrew L. Janke; Mark Griffin; Mark W. Strudwick; Simon Finnigan; James Semple; Jonathan B. Chalk

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1053-1807)

Published

2004

Language

EN

Field

Medicine (Health Sciences)