Literature DB >> 28398929

Comprehensive Dynamic Contrast-Enhanced 3D Magnetic Resonance Imaging of the Breast With Fat/Water Separation and High Spatiotemporal Resolution Using Radial Sampling, Compressed Sensing, and Parallel Imaging.

Thomas Benkert1, Kai Tobias Block, Samantha Heller, Melanie Moccaldi, Daniel K Sodickson, Sungheon Gene Kim, Linda Moy.   

Abstract

OBJECTIVES: The aim of this study was to assess the applicability of Dixon radial volumetric encoding (Dixon-RAVE) for comprehensive dynamic contrast-enhanced 3D magnetic resonance imaging (MRI) of the breast using a combination of radial sampling, model-based fat/water separation, compressed sensing, and parallel imaging.
MATERIALS AND METHODS: In this Health Insurance Portability and Accountability Act-compliant prospective study, 24 consecutive patients underwent bilateral breast MRI, including both conventional fat-suppressed and non-fat-suppressed precontrast T1-weighted volumetric interpolated breath-hold examination (VIBE). Afterward, 1 continuous Dixon-RAVE scan was performed with the proposed approach while the contrast agent was injected. This scan was immediately followed by the acquisition of 4 conventional fat-saturated VIBE scans. From the comprehensive Dixon-RAVE data set, different image contrasts were reconstructed that are comparable to the separate conventional VIBE scans.Two radiologists independently rated image quality, conspicuity of fibroglandular tissue from fat (FG), and degree of fat suppression (FS) on a 5-point Likert-type scale for the following 3 comparisons: precontrast fat-suppressed (pre-FS), precontrast non-fat-suppressed (pre-NFS), and dynamic fat-suppressed (dyn-FS) images.
RESULTS: When scores were averaged over readers, Dixon-RAVE achieved significantly higher (P < 0.001) degree of fat suppression compared with VIBE, for both pre-FS (4.25 vs 3.67) and dyn-FS (4.10 vs 3.46) images. Although Dixon-RAVE had lower image quality score compared with VIBE for the pre-FS (3.56 vs 3.67, P = 0.490), the pre-NFS (3.54 vs 3.88, P = 0.009), and the dyn-FS images (3.06 vs 3.67, P < 0.001), acceptable or better diagnostic quality was achieved (score ≥ 3). The FG score for Dixon-RAVE in comparison to VIBE was significantly higher for the pre-FS image (4.23 vs 3.85, P = 0.044), lower for the pre-NFS image (3.98 vs 4.25, P = 0.054), and higher for the dynamic fat-suppressed image (3.90 vs 3.85, P = 0.845).
CONCLUSIONS: Dixon-RAVE can serve as a one-stop-shop approach for comprehensive T1-weighted breast MRI with diagnostic image quality, high spatiotemporal resolution, reduced overall scan time, and improved fat suppression compared with conventional imaging.

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Year:  2017        PMID: 28398929      PMCID: PMC5585043          DOI: 10.1097/RLI.0000000000000375

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


  22 in total

1.  Development and evaluation of TWIST Dixon for dynamic contrast-enhanced (DCE) MRI with improved acquisition efficiency and fat suppression.

Authors:  Yuan Le; Randall Kroeker; Hal D Kipfer; Chen Lin
Journal:  J Magn Reson Imaging       Date:  2012-04-27       Impact factor: 4.813

2.  A feasible high spatiotemporal resolution breast DCE-MRI protocol for clinical settings.

Authors:  Luminita A Tudorica; Karen Y Oh; Nicole Roy; Mark D Kettler; Yiyi Chen; Stephanie L Hemmingson; Aneela Afzal; John W Grinstead; Gerhard Laub; Xin Li; Wei Huang
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

3.  Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution.

Authors:  Christiane K Kuhl; Hans H Schild; Nuschin Morakkabati
Journal:  Radiology       Date:  2005-09       Impact factor: 11.105

4.  Array compression for MRI with large coil arrays.

Authors:  Martin Buehrer; Klaas P Pruessmann; Peter Boesiger; Sebastian Kozerke
Journal:  Magn Reson Med       Date:  2007-06       Impact factor: 4.668

5.  Influence of scan duration on the estimation of pharmacokinetic parameters for breast lesions: a study based on CAIPIRINHA-Dixon-TWIST-VIBE technique.

Authors:  Wen Hao; Bin Zhao; Guangbin Wang; Cuiyan Wang; Hui Liu
Journal:  Eur Radiol       Date:  2014-10-17       Impact factor: 5.315

Review 6.  Chemical shift encoding-based water-fat separation methods.

Authors:  Holger Eggers; Peter Börnert
Journal:  J Magn Reson Imaging       Date:  2014-01-21       Impact factor: 4.813

7.  Novel High Spatiotemporal Resolution Versus Standard-of-Care Dynamic Contrast-Enhanced Breast MRI: Comparison of Image Quality.

Authors:  Courtney K Morrison; Leah C Henze Bancroft; Wendy B DeMartini; James H Holmes; Kang Wang; Ryan J Bosca; Frank R Korosec; Roberta M Strigel
Journal:  Invest Radiol       Date:  2017-04       Impact factor: 6.016

8.  Clinical application of 3D VIBECAIPI-DIXON for non-enhanced imaging of the pancreas compared to a standard 2D fat-saturated FLASH.

Authors:  Stefan Haneder; Katrin Koziel; John N Morelli; Philipp Riffel; Johannes Budjan; Stefan O Schoenberg; Henrik J Michaely
Journal:  Clin Imaging       Date:  2013-11-19       Impact factor: 1.605

9.  Comparison of conventional DCE-MRI and a novel golden-angle radial multicoil compressed sensing method for the evaluation of breast lesion conspicuity.

Authors:  Laura Heacock; Yiming Gao; Samantha L Heller; Amy N Melsaether; James S Babb; Tobias K Block; Ricardo Otazo; Sungheon G Kim; Linda Moy
Journal:  J Magn Reson Imaging       Date:  2016-11-17       Impact factor: 4.813

10.  Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging.

Authors:  Thomas Benkert; Li Feng; Daniel K Sodickson; Hersh Chandarana; Kai Tobias Block
Journal:  Magn Reson Med       Date:  2016-09-09       Impact factor: 4.668

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  1 in total

1.  Optimization and validation of accelerated golden-angle radial sparse MRI reconstruction with self-calibrating GRAPPA operator gridding.

Authors:  Thomas Benkert; Ye Tian; Chenchan Huang; Edward V R DiBella; Hersh Chandarana; Li Feng
Journal:  Magn Reson Med       Date:  2017-11-28       Impact factor: 4.668

  1 in total

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