Literature DB >> 21464571

Reduced rCBV ratio in perfusion-weighted MR images predicts poor outcome after thrombolysis in acute ischemic stroke.

Hyang-I Park1, Jae-Kwan Cha, Myung-Jin Kang, Dae-Hyun Kim, Nam-Tae Yoo, Jae-Hyung Choi, Jae-Taeck Huh.   

Abstract

Recent research has suggested that a perfusion-weighted image (PWI) relative cerebral blood volume (rCBV) map after acute ischemic stroke (AIS) provides information about the collateral circulation in the ischemic region. In this study, we demonstrate the usefulness of the rCBV ratio in PWI in predicting poor outcome after using IV t-PA in AIS. We recruited 58 stroke patients who were treated with IV t-PA after diagnostic magnetic resonance imaging (MRI). Poor outcome was defined as a Modified Rankin Scale (mRS) score >2 measured 90 days after ischemic insult. In total, 21 patients (36.2%) demonstrated poor outcome (i.e. mRS score 3-6). Poor outcome after t-PA correlated with age (p = 0.03), serum glucose level (p = 0.01), NIHSS (p = 0.05), and the presence of T-occlusion (p = 0.05). Poor outcome also correlated with diffusion-weighted MR images of the lesion volume (p < 0.01), lower rCBV ratio on PWI (p < 0.01), and non-recanalization (p < 0.01). Among these, non-recanalization (p < 0.01), reduced rCBV ratio on PWI (p < 0.01), age (p = 0.04), and serum glucose level (p = 0.01) had an independent significance for predicting it. This suggests that the rCBV ratio on PWI may be used to determine prognosis after thrombolysis in AIS.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21464571     DOI: 10.1159/000324727

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  3 in total

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3.  Association of cerebral microvascular perfusion and diffusion dynamics detected by intravoxel incoherent motion-diffusion weighted imaging with initial neurological function and clinical outcome in acute ischemic stroke.

Authors:  Fei Chen; Zhenyu Dai; Lizheng Yao; Congsong Dong; Haicun Shi; Weiqiang Dou; Wei Xing
Journal:  PeerJ       Date:  2021-09-16       Impact factor: 2.984

  3 in total

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