Literature DB >> 22056688

Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping.

Tian Liu1, Krishna Surapaneni, Min Lou, Liuquan Cheng, Pascal Spincemaille, Yi Wang.   

Abstract

PURPOSE: To assess quantitative susceptibility mapping (QSM) for reducing the inconsistency of standard magnetic resonance (MR) imaging sequences in measurements of cerebral microbleed burden.
MATERIALS AND METHODS: This retrospective study was HIPAA compliant and institutional review board approved. Ten patients (5.6%) were selected from among 178 consecutive patients suspected of having experienced a stroke who were imaged with a multiecho gradient-echo sequence at 3.0 T and who had cerebral microbleeds on T2*-weighted images. QSM was performed for various ranges of echo time by using both the magnitude and phase components in the morphology-enabled dipole inversion method. Cerebral microbleed size was measured by two neuroradiologists on QSM images, T2*-weighted images, susceptibility-weighted (SW) images, and R2* maps calculated by using different echo times. The sum of susceptibility over a region containing a cerebral microbleed was also estimated on QSM images as its total susceptibility. Measurement differences were assessed by using the Student t test and the F test; P < .05 was considered to indicate a statistically significant difference.
RESULTS: When echo time was increased from approximately 20 to 40 msec, the measured cerebral microbleed volume increased by mean factors of 1.49 ± 0.86 (standard deviation), 1.64 ± 0.84, 2.30 ± 1.20, and 2.30 ± 1.19 for QSM, R2*, T2*-weighted, and SW images, respectively (P < .01). However, the measured total susceptibility with QSM did not show significant change over echo time (P = .31), and the variation was significantly smaller than any of the volume increases (P < .01 for each).
CONCLUSION: The total susceptibility of a cerebral microbleed measured by using QSM is a physical property that is independent of echo time. © RSNA, 2011.

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Year:  2011        PMID: 22056688      PMCID: PMC3244668          DOI: 10.1148/radiol.11110251

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

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2.  improving interrater agreement about brain microbleeds: development of the Brain Observer MicroBleed Scale (BOMBS).

Authors:  Charlotte Cordonnier; Gillian M Potter; Caroline A Jackson; Fergus Doubal; Sarah Keir; Cathie L M Sudlow; Joanna M Wardlaw; Rustam Al-Shahi Salman
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3.  Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

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Authors:  Meike W Vernooij; M Arfan Ikram; Piotr A Wielopolski; Gabriel P Krestin; Monique M B Breteler; Aad van der Lugt
Journal:  Radiology       Date:  2008-05-19       Impact factor: 11.105

7.  Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds.

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8.  Susceptibility-weighted magnetic resonance imaging for the detection of cerebral microhemorrhage in patients with traumatic brain injury.

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Authors:  M W Vernooij; A van der Lugt; M A Ikram; P A Wielopolski; W J Niessen; A Hofman; G P Krestin; M M B Breteler
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Journal:  Stroke       Date:  2004-06-24       Impact factor: 7.914

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  68 in total

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4.  Quantitative oxygenation venography from MRI phase.

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5.  Characterization of Carotid Plaque Components by Quantitative Susceptibility Mapping.

Authors:  M Azuma; K Maekawa; A Yamashita; K Yokogami; M Enzaki; Z A Khant; H Takeshima; Y Asada; Y Wang; T Hirai
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6.  Susceptibility-weighted MR imaging of radiation therapy-induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T.

Authors:  Wei Bian; Christopher P Hess; Susan M Chang; Sarah J Nelson; Janine M Lupo
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7.  Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.

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8.  Evaluation of oxygen extraction fraction in systemic lupus erythematosus patients using quantitative susceptibility mapping.

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9.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.

Authors:  Pascal Spincemaille; Zhe Liu; Shun Zhang; Ilhami Kovanlikaya; Matteo Ippoliti; Marcus Makowski; Richard Watts; Ludovic de Rochefort; Vijay Venkatraman; Patricia Desmond; Mathieu D Santin; Stéphane Lehéricy; Brian H Kopell; Patrice Péran; Yi Wang
Journal:  J Neuroimaging       Date:  2019-08-04       Impact factor: 2.486

10.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

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