BACKGROUND AND PURPOSE: Compared with MR imaging, dynamic CT perfusion imaging covers only a fraction of the whole brain. An important assumption is that CT perfusion abnormalities correlate with total ischemic volume. The purpose of our study was to measure the degree of correlation between abnormalities seen on CT perfusion scans and the volumes of abnormality seen on MR diffusion and perfusion images in patients with acute large-vessel stroke. METHODS: Fourteen patients with acute hemispheric stroke symptoms less than 12 hours in duration were studied with single-slice CT perfusion imaging and multislice MR diffusion and perfusion imaging. CT and MR perfusion studies were completed within 2.5 hours of one another (mean, 77 minutes) and were reviewed independently by two neuroradiologists. Hemodynamic parameters included cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT). Extents of abnormality on images were compared by using Kendall correlation. RESULTS: Statistically significant correlation was found between CT-CBF and MR-CBF abnormalities (tau = 0.60, P =.003) and CT-MTT and MR-MTT abnormalities (tau = 0.65, P =.001). Correlation of CT-CBV with MR-CBV approached significance (tau = 0.39, P =.06). Extent of initial hyperintensity on diffusion-weighted images correlated best with extent of MR-CBV abnormality (tau = 0.69, P =.001), extent of MR-MTT abnormality (tau = 0.67, P =.002), and extent of CT-CBV abnormality (tau = 0.47, P =.02). CONCLUSION: Good correlation was seen between CT and MR for CBF and MTT abnormalities. It remains uncertain whether CT perfusion CBV abnormalities correspond well to whole-brain abnormalities.
BACKGROUND AND PURPOSE: Compared with MR imaging, dynamic CT perfusion imaging covers only a fraction of the whole brain. An important assumption is that CT perfusion abnormalities correlate with total ischemic volume. The purpose of our study was to measure the degree of correlation between abnormalities seen on CT perfusion scans and the volumes of abnormality seen on MR diffusion and perfusion images in patients with acute large-vessel stroke. METHODS: Fourteen patients with acute hemispheric stroke symptoms less than 12 hours in duration were studied with single-slice CT perfusion imaging and multislice MR diffusion and perfusion imaging. CT and MR perfusion studies were completed within 2.5 hours of one another (mean, 77 minutes) and were reviewed independently by two neuroradiologists. Hemodynamic parameters included cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT). Extents of abnormality on images were compared by using Kendall correlation. RESULTS: Statistically significant correlation was found between CT-CBF and MR-CBF abnormalities (tau = 0.60, P =.003) and CT-MTT and MR-MTT abnormalities (tau = 0.65, P =.001). Correlation of CT-CBV with MR-CBV approached significance (tau = 0.39, P =.06). Extent of initial hyperintensity on diffusion-weighted images correlated best with extent of MR-CBV abnormality (tau = 0.69, P =.001), extent of MR-MTT abnormality (tau = 0.67, P =.002), and extent of CT-CBV abnormality (tau = 0.47, P =.02). CONCLUSION: Good correlation was seen between CT and MR for CBF and MTT abnormalities. It remains uncertain whether CT perfusion CBV abnormalities correspond well to whole-brain abnormalities.
Authors: James D Eastwood; Michael H Lev; Tarek Azhari; Ting-Yim Lee; Daniel P Barboriak; David M Delong; Clemens Fitzek; Michael Herzau; Max Wintermark; Reto Meuli; David Brazier; James M Provenzale Journal: Radiology Date: 2002-01 Impact factor: 11.105
Authors: J R Reichenbach; J Röther; L Jonetz-Mentzel; M Herzau; A Fiala; C Weiller; W A Kaiser Journal: AJNR Am J Neuroradiol Date: 1999 Nov-Dec Impact factor: 3.825
Authors: M H Lev; A Z Segal; J Farkas; S T Hossain; C Putman; G J Hunter; R Budzik; G J Harris; F S Buonanno; M A Ezzeddine; Y Chang; W J Koroshetz; R G Gonzalez; L H Schwamm Journal: Stroke Date: 2001-09 Impact factor: 7.914
Authors: T E Mayer; G F Hamann; J Baranczyk; B Rosengarten; E Klotz; M Wiesmann; U Missler; G Schulte-Altedorneburg; H J Brueckmann Journal: AJNR Am J Neuroradiol Date: 2000-09 Impact factor: 3.825
Authors: Max Wintermark; Marc Reichhart; Jean-Philippe Thiran; Philippe Maeder; Marc Chalaron; Pierre Schnyder; Julien Bogousslavsky; Reto Meuli Journal: Ann Neurol Date: 2002-04 Impact factor: 10.422
Authors: M Wintermark; M Reichhart; O Cuisenaire; P Maeder; J-P Thiran; P Schnyder; J Bogousslavsky; R Meuli Journal: Stroke Date: 2002-08 Impact factor: 7.914
Authors: Fabian Eisa; Robert Brauweiler; Martin Hupfer; Tristan Nowak; Laura Lotz; Inge Hoffmann; David Wachter; Ralf Dittrich; Matthias W Beckmann; Gregor Jost; Hubertus Pietsch; Willi A Kalender Journal: Eur Radiol Date: 2011-11-10 Impact factor: 5.315
Authors: Mark Page; Dee Nandurkar; Marcus Peter Crossett; Stephen L Stuckey; Kenneth P Lau; Nicholas Kenning; John M Troupis Journal: Eur Radiol Date: 2009-12-16 Impact factor: 5.315