Literature DB >> 20512548

Precontrast and postcontrast susceptibility-weighted imaging in the assessment of intracranial brain neoplasms at 1.5 T.

Masaaki Hori1, Keiichi Ishigame, Hiroyuki Kabasawa, Hiroshi Kumagai, Satoshi Ikenaga, Nobuyuki Shiraga, Shigeki Aoki, Tsutomu Araki.   

Abstract

PURPOSE: The goal of this study was to estimate pre- and post-gadolinium-enhanced high-spatial resolution susceptibility-weighted imaging (SWI) in patients with brain neoplasms.
MATERIALS AND METHODS: A total of 17 patients (8 women, 9 men) with brain neoplasms participated in this study. In addition to conventional magnetic resonance imaging, pre- and post-gadolinium-enhanced SWI was performed. The contrast-to-noise ratio (CNR) and major diameters of the brain tumor were measured for quantitative analyses, and intratumoral susceptibility signal intensity (ITSS) was graded for semiquantitative analysis.
RESULTS: Both bright and dark enhancement were observed at the pathological lesion on postcontrast SWI. Some postcontrast SWI results suggested leakage of contrast material due to breakdown of the blood-brain barrier. There were no statistical differences (Student's t-test) between postcontrast SWI and three-dimensional (3D) T1-weighted images regarding the major diameters of the brain tumors. CNR of postcontrast 3D T1-weighted images was statistically superior to that of postcontrast SW images (P < 0.01, Wilcoxon signed-rank test). Malignant tumors tended to have a higher ITSS score.
CONCLUSION: SWI clearly visualized the architecture of brain neoplasms. This imaging technique may be useful for evaluating tumor characterization in clinical use.

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Year:  2010        PMID: 20512548     DOI: 10.1007/s11604-010-0427-z

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  9 in total

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2.  Susceptibility weighted imaging (SWI).

Authors:  E Mark Haacke; Yingbiao Xu; Yu-Chung N Cheng; Jürgen R Reichenbach
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Review 3.  Clinical applications of neuroimaging with susceptibility-weighted imaging.

Authors:  Vivek Sehgal; Zachary Delproposto; E Mark Haacke; Karen A Tong; Nathaniel Wycliffe; Daniel K Kido; Yingbiao Xu; Jaladhar Neelavalli; Djamel Haddar; Jürgen R Reichenbach
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4.  Nonnvasive assessment of vascular architecture and function during modulated blood oxygenation using susceptibility weighted magnetic resonance imaging.

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Authors:  Vivek Sehgal; Zachary Delproposto; Djamel Haddar; E Mark Haacke; Andrew E Sloan; Lucia J Zamorano; Geoffery Barger; Jiani Hu; Yingbiao Xu; Karthik Praveen Prabhakaran; Ilaya R Elangovan; Jaladhar Neelavalli; Jürgen R Reichenbach
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

6.  High-resolution contrast-enhanced, susceptibility-weighted MR imaging at 3T in patients with brain tumors: correlation with positron-emission tomography and histopathologic findings.

Authors:  K Pinker; I M Noebauer-Huhmann; I Stavrou; R Hoeftberger; P Szomolanyi; G Karanikas; M Weber; A Stadlbauer; E Knosp; K Friedrich; S Trattnig
Journal:  AJNR Am J Neuroradiol       Date:  2007-08       Impact factor: 3.825

7.  Magnetic susceptibility-weighted MR phase imaging of the human brain.

Authors:  Alexander Rauscher; Jan Sedlacik; Markus Barth; Hans-Joachim Mentzel; Jürgen R Reichenbach
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

8.  High-field, high-resolution, susceptibility-weighted magnetic resonance imaging: improved image quality by addition of contrast agent and higher field strength in patients with brain tumors.

Authors:  K Pinker; I M Noebauer-Huhmann; I Stavrou; R Hoeftberger; P Szomolanyi; M Weber; A Stadlbauer; G Grabner; E Knosp; S Trattnig
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  9 in total
  10 in total

1.  Benefits of contrast-enhanced SWI in patients with glioblastoma multiforme.

Authors:  Delia Fahrendorf; Wolfram Schwindt; Johannes Wölfer; Astrid Jeibmann; Hendrik Kooijman; Harald Kugel; Oliver Grauer; Walter Heindel; Volker Hesselmann; Andrea Bink
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2.  Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas.

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Review 5.  Emerging Techniques in Brain Tumor Imaging: What Radiologists Need to Know.

Authors:  Minjae Kim; Ho Sung Kim
Journal:  Korean J Radiol       Date:  2016-08-23       Impact factor: 3.500

6.  Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma.

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7.  Characterization of Contrast-Enhancing and Non-contrast-enhancing Multiple Sclerosis Lesions Using Susceptibility-Weighted Imaging.

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Review 8.  Clinical applications of susceptibility-weighted imaging in detecting and grading intracranial gliomas: a review.

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Journal:  Cancer Imaging       Date:  2013-04-24       Impact factor: 3.909

9.  An attempt toward objective assessment of brain tumor vascularization using susceptibility weighted imaging and dedicated computer program - a preliminary study.

Authors:  Julia Wieczorek-Pastusiak; Marek Kociński; Marek Raźniewski; Michał Strzelecki; Ludomir Stefańczyk; Agata Majos
Journal:  Pol J Radiol       Date:  2013-01

10.  Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors.

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  10 in total

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