Literature DB >> 15192245

Contribution of susceptibility-weighted imaging to acute stroke assessment.

Marc Hermier1, Norbert Nighoghossian.   

Abstract

BACKGROUND: Susceptibility-weighted (SW) MRI provides insight into the pathophysiology of acute stroke. We report on the use of SW imaging (SWI) sequences in clinical practice and highlight the future applications. SUMMARY OF REVIEW: SWI exploits the magnetic susceptibility effects generated by local inhomogeneities of the magnetic field. The paramagnetic properties of deoxyhemoglobin support signal changes related to acute hemorrhage and the intravascular spontaneous blood oxygen level dependent (BOLD) effect. SWI allows the early detection of acute hemorrhage within 6 hours after symptom onset. SWI may also identify previous microbleeds in acute ischemia; however, the impact of these findings on thrombolytic therapy safety has not been definitely established. The diagnosis of arterial occlusion is usually performed by magnetic resonance angiography. SWI allows intravascular clot detection at the acute stage.Substantial experimental data suggest that spontaneous BOLD contrast may improve tissue viability assessment. The ratio of oxyhemoglobin to deoxyhemoglobin, measured by MRI in the capillary and venous compartments, reflects the oxygen extraction fraction (OEF) and the cerebral metabolic rate of oxygen. The combination of magnetic resonance (MR)-measured OEF and cerebral blood flow, via perfusion studies, may provide information about tissue viability.
CONCLUSIONS: SWI offers a spectrum of current clinical applications and may improve our knowledge of the pathophysiology of acute stroke.

Entities:  

Mesh:

Year:  2004        PMID: 15192245     DOI: 10.1161/01.STR.0000133341.74387.96

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


  61 in total

1.  Imaging of acute ischemic stroke.

Authors:  Carlos Leiva-Salinas; Max Wintermark
Journal:  Neuroimaging Clin N Am       Date:  2010-11       Impact factor: 2.264

2.  Susceptibility weighted imaging in cerebral hypoperfusion-can we predict increased oxygen extraction fraction?

Authors:  Chandrasekharan Kesavadas; Kannath Santhosh; Bejoy Thomas
Journal:  Neuroradiology       Date:  2010-06-22       Impact factor: 2.804

3.  Susceptibility weighted imaging: does it give information similar to perfusion weighted imaging in acute stroke?

Authors:  C Kesavadas; B Thomas; H Pendharakar; P N Sylaja
Journal:  J Neurol       Date:  2010-11-30       Impact factor: 4.849

4.  7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma.

Authors:  Janine M Lupo; Cynthia F Chuang; Susan M Chang; Igor J Barani; Bert Jimenez; Christopher P Hess; Sarah J Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-10-12       Impact factor: 7.038

Review 5.  A diagnostic approach to multiple simultaneous intracerebral hemorrhages.

Authors:  Pasquale F Finelli
Journal:  Neurocrit Care       Date:  2006       Impact factor: 3.210

Review 6.  Neuroimaging of ischemia and infarction.

Authors:  Erica C Sá de Camargo; Walter J Koroshetz
Journal:  NeuroRx       Date:  2005-04

7.  Contrast Extravasation versus Hemorrhage after Thrombectomy in Patients with Acute Stroke.

Authors:  Vivek Yedavalli; Steffen Sammet
Journal:  J Neuroimaging       Date:  2017-05-17       Impact factor: 2.486

8.  Focal hemodynamic patterns of status epilepticus detected by susceptibility weighted imaging (SWI).

Authors:  Jerome Aellen; Eugenio Abela; Sarah E Buerki; Raimund Kottke; Elisabeth Springer; Kaspar Schindler; Christian Weisstanner; Marwan El-Koussy; Gerhard Schroth; Roland Wiest; Jan Gralla; Rajeev K Verma
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

9.  Susceptibility-weighted imaging predicts infarct size and early-stage clinical prognosis in acute ischemic stroke.

Authors:  Song Luo; Lijuan Yang; Yanfei Luo
Journal:  Neurol Sci       Date:  2018-03-20       Impact factor: 3.307

Review 10.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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