Literature DB >> 19959537

Regional very low cerebral blood volume predicts hemorrhagic transformation better than diffusion-weighted imaging volume and thresholded apparent diffusion coefficient in acute ischemic stroke.

Bruce C V Campbell1, Søren Christensen, Kenneth S Butcher, Ian Gordon, Mark W Parsons, Patricia M Desmond, P Alan Barber, Christopher R Levi, Christopher F Bladin, Deidre A De Silva, Geoffrey A Donnan, Stephen M Davis.   

Abstract

BACKGROUND AND
PURPOSE: Currently, diffusion-weighted imaging (DWI) lesion volume is the most useful magnetic resonance imaging predictor of hemorrhagic transformation (HT). Preliminary studies have suggested that very low cerebral blood volume (VLCBV) predicts HT. We compared HT prediction by VLCBV and DWI using data from the EPITHET study.
METHODS: Normal-percentile CBV values were calculated from the nonstroke hemisphere. Whole-brain masks with CBV thresholds of the <0, 2.5, 5, and 10th percentiles were created. The volume of tissue with VLCBV was calculated within the acute DWI ischemic lesion. HT was graded as per ECASS criteria.
RESULTS: HT occurred in 44 of 91 patients. Parenchymal hematoma (PH) occurred in 13 (4 symptomatic) and asymptomatic hemorrhagic infarction (HI) in 31. The median volume of VLCBV was significantly higher in cases with PH. VLCBV predicted HT better than DWI lesion volume and thresholded apparent diffusion coefficient lesion volume in receiver operating characteristic analysis and logistic regression. A cutpoint at 2 mL VLCBV with the <2.5th percentile had 100% sensitivity for PH and, in patients treated with tissue plasminogen activator, defined a population with a 43% risk of PH (95% CI, 23% to 66%, likelihood ratio=16). VLCBV remained an independent predictor of PH in multivariate analysis with traditional clinical risk factors for HT.
CONCLUSIONS: VLCBV predicted HT after thrombolysis better than did DWI or apparent diffusion coefficient volume in this large patient cohort. The advantage was greatest in patients with smaller DWI volumes. Prediction was better in patients who recanalized. If validated in an independent cohort, the addition of VLCBV to prethrombolysis decision making may reduce the incidence of HT.

Entities:  

Mesh:

Year:  2009        PMID: 19959537     DOI: 10.1161/STROKEAHA.109.562116

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  36 in total

1.  Admission CT perfusion is an independent predictor of hemorrhagic transformation in acute stroke with similar accuracy to DWI.

Authors:  Leticia C S Souza; Seyedmehdi Payabvash; Yifei Wang; Shervin Kamalian; Pamela Schaefer; R Gilberto Gonzalez; Karen L Furie; Michael H Lev
Journal:  Cerebrovasc Dis       Date:  2011-11-30       Impact factor: 2.762

2.  Brain hemorrhage after endovascular reperfusion therapy of ischemic stroke: a threshold-finding whole-brain perfusion CT study.

Authors:  Arturo Renú; Carlos Laredo; Raúl Tudela; Xabier Urra; Antonio Lopez-Rueda; Laura Llull; Laura Oleaga; Sergio Amaro; Ángel Chamorro
Journal:  J Cereb Blood Flow Metab       Date:  2015-12-07       Impact factor: 6.200

3.  Perfusion/Diffusion mismatch is valid and should be used for selecting delayed interventions.

Authors:  Stephen Davis; Bruce Campbell; Soren Christensen; Henry Ma; Patricia Desmond; Mark Parsons; Christopher Levi; Christopher Bladin; P Alan Barber; Geoffrey Donnan
Journal:  Transl Stroke Res       Date:  2012-04-18       Impact factor: 6.829

4.  Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms.

Authors:  Mark Jrj Bouts; Ivo Acw Tiebosch; Umesh S Rudrapatna; Annette van der Toorn; Ona Wu; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

5.  [Update Stroke Conference 2011: International Stroke Conference 2011, Los Angeles, USA].

Authors:  M Ebinger; M Endres
Journal:  Nervenarzt       Date:  2011-10       Impact factor: 1.214

6.  Stroke: Predicting outcome after ischemic stroke-hard but achievable.

Authors:  Jean-Claude Baron
Journal:  Nat Rev Neurol       Date:  2011-04-12       Impact factor: 42.937

7.  MRI blood-brain barrier permeability measurements to predict hemorrhagic transformation in a rat model of ischemic stroke.

Authors:  Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Claus Zimmer; Hua Su; Peter T Ohara; William L Young; Max Wintermark
Journal:  Transl Stroke Res       Date:  2012-09-16       Impact factor: 6.829

Review 8.  Imaging of cerebral ischemia: from acute stroke to chronic disorders.

Authors:  May Nour; David S Liebeskind
Journal:  Neurol Clin       Date:  2013-10-23       Impact factor: 3.806

9.  Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Authors:  Fabien Scalzo; Jeffry R Alger; Xiao Hu; Jeffrey L Saver; Krishna A Dani; Keith W Muir; Andrew M Demchuk; Shelagh B Coutts; Marie Luby; Steven Warach; David S Liebeskind
Journal:  Magn Reson Imaging       Date:  2013-04-13       Impact factor: 2.546

10.  Advanced imaging improves prediction of hemorrhage after stroke thrombolysis.

Authors:  Bruce C V Campbell; Søren Christensen; Mark W Parsons; Leonid Churilov; Patricia M Desmond; P Alan Barber; Kenneth S Butcher; Christopher R Levi; Deidre A De Silva; Maarten G Lansberg; Michael Mlynash; Jean-Marc Olivot; Matus Straka; Roland Bammer; Gregory W Albers; Geoffrey A Donnan; Stephen M Davis
Journal:  Ann Neurol       Date:  2013-02-26       Impact factor: 10.422

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.