Literature DB >> 15973132

Magnetic resonance elastography of the breast: correlation of signal intensity data with viscoelastic properties.

Tanja Xydeas1, Katja Siegmann, Ralph Sinkus, Ute Krainick-Strobel, Stephan Miller, C D Claussen.   

Abstract

OBJECTIVES: We sought to investigate the potential value of magnetic resonance (MR) elastography to improve the differentiation between benign and malignant tumors.
MATERIAL AND METHODS: Measurements of 5 patients with 6 malignant lesions, 11 patients with benign lesions, and 4 patients with no lesions at all were performed at 1.5 Tesla. After breast MR imaging, MR elastography was performed as a targeted measurement. Low-frequency mechanical waves (65 Hz) were transmitted into the breast tissue using an oscillator and were displayed by means of a MR sequence within the phase of the MR image. After reconstruction, the viscoelastic information was correlated with the signal intensity and morphology data.
RESULTS: All examinations were technically successful realized in approximately 25 minutes. Malignant tumors documented higher values of elasticity than benign corresponding with signal intensity and morphologic data.
CONCLUSION: A good separation exists between benign and malignant lesions in elasticity, corresponding with specific signal intensity and morphologic data. Further clinical studies with a larger number of patients are needed for extended validation.

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Mesh:

Year:  2005        PMID: 15973132     DOI: 10.1097/01.rli.0000166940.72971.4a

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  20 in total

Review 1.  General review of magnetic resonance elastography.

Authors:  Gavin Low; Scott A Kruse; David J Lomas
Journal:  World J Radiol       Date:  2016-01-28

2.  Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Authors:  Thomas Schlossbauer; Gerda Leinsinger; Axel Wismuller; Oliver Lange; Michael Scherr; Anke Meyer-Baese; Maximilian Reiser
Journal:  Invest Radiol       Date:  2008-01       Impact factor: 6.016

3.  Subzone based magnetic resonance elastography using a Rayleigh damped material model.

Authors:  Elijah E W Van Houten; D vR Viviers; M D J McGarry; P R Perriñez; I I Perreard; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

4.  A Spectral Finite Element Approach to Modeling Soft Solids Excited with High-Frequency Harmonic Loads.

Authors:  John C Brigham; Wilkins Aquino; Miguel A Aguilo; Peter J Diamessis
Journal:  Comput Methods Appl Mech Eng       Date:  2011-01-15       Impact factor: 6.756

5.  Investigating the impact of spatial priors on the performance of model-based IVUS elastography.

Authors:  M S Richards; M M Doyley
Journal:  Phys Med Biol       Date:  2011-10-28       Impact factor: 3.609

6.  Quantification of breast stiffness using MR elastography at 3 Tesla with a soft sternal driver: A reproducibility study.

Authors:  Jeffrey R Hawley; Prateek Kalra; Xiaokui Mo; Brian Raterman; Lisa D Yee; Arunark Kolipaka
Journal:  J Magn Reson Imaging       Date:  2016-10-25       Impact factor: 4.813

7.  Dynamic functional and mechanical response of breast tissue to compression.

Authors:  S A Carp; J Selb; Q Fang; R Moore; D B Kopans; E Rafferty; D A Boas
Journal:  Opt Express       Date:  2008-09-29       Impact factor: 3.894

Review 8.  Magnetic resonance elastography (MRE) in cancer: Technique, analysis, and applications.

Authors:  Kay M Pepin; Richard L Ehman; Kiaran P McGee
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2015-06-23       Impact factor: 9.795

9.  Shear modulus decomposition algorithm in magnetic resonance elastography.

Authors:  Oh In Kwon; Chunjae Park; Hyun Soo Nam; Eung Je Woo; Jin Keun Seo; K J Glaser; A Manduca; R L Ehman
Journal:  IEEE Trans Med Imaging       Date:  2009-10       Impact factor: 10.048

Review 10.  Review of MR elastography applications and recent developments.

Authors:  Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2012-10       Impact factor: 4.813

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