Literature DB >> 19772973

Susceptibility-weighted imaging for differential diagnosis of cerebral vascular pathology: a pictorial review.

Yu-Kun Tsui1, Fong Y Tsai, Anton N Hasso, Fred Greensite, Binh V Nguyen.   

Abstract

Susceptibility-weighted imaging (SWI) is a high-spatial resolution, three-dimensional, gradient-echo (GRE) magnetic resonance (MR) technique. This fully velocity-compensated pulse sequence utilizes the magnetic susceptibility differences of various tissues or substances, such as blood products, iron, and calcification. By postprocessing the magnitude images using a phase mask, it emphasizes the magnetic properties of different susceptibility effects. Generated minimal intensity projection (minIP) images can further demonstrate tortuous vasculature and the continuity of vessels or abnormalities across slices. SWI has been used to improve the diagnosis of neurological trauma, brain neoplasm, neurodegenerative disorders, and cerebrovascular disease because of its ability to demonstrate microbleeds and conspicuity of the veins and other sources with susceptibility effects. We have used SWI to identify cerebrovascular lesions which may be obscured on other MR sequences to aid in the differential diagnosis. We present a review with selected cases to demonstrate the usefulness of this new neuroimaging technique in improving the diagnosis of cerebral vascular pathology.

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Year:  2009        PMID: 19772973     DOI: 10.1016/j.jns.2009.08.064

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  38 in total

1.  The value of susceptibility weighted magnetic resonance imaging in evaluation of patients with familial cerebral cavernous angioma.

Authors:  Haci Taner Bulut; Mehmet Akif Sarica; Ali Haydar Baykan
Journal:  Int J Clin Exp Med       Date:  2014-12-15

2.  Susceptibility-weighted imaging in carotido-cavernous fistulas. A case control study.

Authors:  Kamble Jayaprakash Harsha; Ram Shenoy Basti; Chandrasekharan Kesavadas; Bejoy Thomas
Journal:  Interv Neuroradiol       Date:  2013-12-18       Impact factor: 1.610

3.  Magnetic resonance imaging findings of developmental venous anomalies.

Authors:  E Gökçe; B Acu; M Beyhan; F Celikyay; R Celikyay
Journal:  Clin Neuroradiol       Date:  2013-11-17       Impact factor: 3.649

4.  Extensive vascular mineralization in the brain of a chimpanzee (Pan troglodytes).

Authors:  Fawn R Connor-Stroud; William D Hopkins; Todd M Preuss; Zachary Johnson; Xiaodong Zhang; Prachi Sharma
Journal:  Comp Med       Date:  2014-06       Impact factor: 0.982

5.  Diminished visibility of cerebral venous vasculature in subclinical status epilepticus by susceptibility-weighted imaging: a case report.

Authors:  Y J Lee; Y M Shon; W J Yoo; S L Jung; B S Kim; K J Ahn
Journal:  Clin Neuroradiol       Date:  2013-02-08       Impact factor: 3.649

6.  Asymmetrically hypointense veins on T2*w imaging and susceptibility-weighted imaging in ischemic stroke.

Authors:  Ulf Jensen-Kondering; Ruwen Böhm
Journal:  World J Radiol       Date:  2013-04-28

7.  Postcontrast susceptibility-weighted imaging: a novel technique for the detection of arteriovenous shunting in vascular malformations of the brain.

Authors:  Bharathi D Jagadeesan; Josser E Delgado Almandoz; Tammie L S Benzinger; Christopher J Moran
Journal:  Stroke       Date:  2011-09-22       Impact factor: 7.914

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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